Fast-Growing Company Needs Help Managing Transactions

Service Area: System Selection & Implementation

Client Type: Portfolio Company

Service Provider Type: Supply Chain Technology Firm

Industry: Waste Management

Need
System Selection & Implementation in Waste Management

A rapidly expanding outsourced waste management company had outgrown its accounts payable automation tool. With a modest-sized IT team, they needed expert help with greater depth and engineering to better handle their growth requirements.

Challenge
Tech service provider to ingrate their CRM with their AP tool

With an IT team of less than 10 people, the VP of Tech asked BluWave for help finding a service provider that could better integrate their CRM with their AP tool. As business continued to boom, they weren’t able to keep up with the transactions and needed guidance on not only getting the most out of the tools in place, but finding something more powerful for the future.

How BluWave Helped
The Business Builders’ Network

The very next day, we connected them with four experienced service providers that have done excellent work for other independent and portfolio companies, respectively. They landed on their top choice – a proven system architecture firm that understands their industry – and we continued to support the company by monitoring the service provider until the project was finished, and beyond.

Result
Connected with a best-in-class IT firm

The IT firm helped the portco reorganize its systems internally, better equipping them to select and implement a new AP automation tool. They were able to better integrate with their ERP and manage ever-increasing transactions more efficiently.

The work product we have seen is very good, both for documentation and quality of expected outputs.

They stayed involved from the discovery phase on through implementation.

The changes all look very good and were completed faster than expected. Additional input on changes were well received and follow up has occurred quickly.

-Vice President of Technology at the Company

How To Analyze Sales Data: Tools, Examples, KPIs

What is Sales Data?

Knowing how to analyze sales data is a valuable skill that can be used to improve sales results. By tracking and analyzing sales data – concrete information about how your products or services are selling – you can identify trends, patterns and opportunities that can help you close more deals and increase revenue.

For example, you might see that your sales cycle is longer for certain types of customers. This could be because you need to do more research on them or because they are more difficult to close. Once you know this, you can take steps to improve your process for these types of customers.

Having this information is a great way to increase sales effectiveness and training. The more actionable data your team has, the better set up for success they’ll be.

An experienced third party that specializes in sales effectiveness and training within your specific industry can be a great resource for these situations.

To help you get a better understanding of your situation, let’s talk about the importance of analyzing sales data, how to do it and what steps you can take to improve your business’s process. Whether you’re at a private equity firm, a portfolio company, or a private or public company, you’ll benefit from being equipped with this overview.

READ MORE: Sales Process Workflow: Stages, Examples for Businesses

Specialized recruiting firm

Types of Sales Data

There are many different types of sales data that you can track. Here some of the most common statistics:

  • Leads: Potential customers who have shown interest in your product or service.
  • Opportunities: Sales prospects that have progressed beyond the lead stage and are being actively pursued.
  • Deals: Closed sales that have been won.
  • Revenue: Total amount of money generated from sales.
  • Customer satisfaction: Degree to which customers are satisfied with your product or service.
  • Sales cycle length: Amount of time it takes from the first contact with a lead to closing the sale.
  • Average deal size: Average dollar amount of each sale.
  • Sales team productivity: Efficiency and effectiveness of the sales team in generating revenue.
  • Sales team turnover: Rate at which sales team members leave the organization and need to be replaced.

READ MORE: Why Hire an Interim CFO?

How to Track Sales Data

Two common ways to track sales data are Customer Relationship Management systems and spreadsheet. The most important thing is to choose a method that works for you and your team.

As your company grows – or aspires to grow – a powerful CRM such as Salesforce or Hubspot will be a must. If you’re reading this article, you probably already have a CRM in place.

These platforms provide comprehensive tools for managing sales data, including tracking leads, opportunities, deals and customer interactions. You can easily input, store and retrieve data in a centralized location, making it convenient to extract meaningful insights.

A spreadsheet is probably only a good option for companies that are just starting out and have small sales teams. Microsoft Excel or Google Sheets offer basic functionality for organizing and analyzing sales data.

They allow you to create custom columns and rows to input sales data, and you can use formulas and formatting options to calculate totals, averages and other key metrics. While spreadsheets may lack the advanced features of a CRM, they can be a cost-effective solution for businesses with limited resources.

Regardless of the method you choose, it’s essential to establish a consistent and structured approach. This includes defining clear data entry processes, setting up regular data updates and implementing data quality checks.

It’s also important to define and track relevant sales metrics that align with your business goals, such as those mentioned in the previous section.

How to Analyze Sales Data

Analyzing sales data is a crucial step in understanding the performance of your business and identifying areas for improvement. One effective approach is to utilize various visualization tools such as charts, graphs and tables to represent your data in a visually appealing and easy-to-understand manner.

For instance, you could create a line chart to track the monthly trend of leads generated, allowing you to quickly identify patterns. If you notice a decline in the number of leads over time, you can take proactive measures to address the issue. For instance, you could revamp your marketing strategies, optimize your website for better lead capture or invest in targeted advertising campaigns to boost lead generation.

In addition to visualizing data, statistical analysis can provide valuable insights into sales performance. For example, you could conduct regression analysis to identify the key drivers of sales, such as the impact of pricing, discounts or promotions on sales volume.

By analyzing the statistical significance of these factors, you can make data-driven decisions.

It’s also important to compare sales data across different time periods, geographical regions or customer segments to identify any variations or patterns. Sales may be down from Q4 to Q1, for example, but up year-over-year.

If Q4 is traditionally your strongest quarter, there may be no need for concern. In fact, it’s probably worth celebrating the increase from the same period in the previous year.

Getting more granular, if you notice that sales tend to dip during certain months, you can strategize accordingly, such as by offering special promotions during those periods.

This information and more can help you tailor your sales strategies to better meet the needs and preferences of different customer segments or regions.

READ MORE: Sales Pipeline Funnel: Methodology, Process for Businesses

How to Use Sales Data to Make Decisions

Once you’ve analyzed your sales data, you can use it to make decisions about your strategy. For instance, if you observe that a specific product or service is underperforming, you may consider discontinuing it or revising your marketing approach.

On the other hand, if you identify a product or service that is performing exceptionally well, you may want to allocate more resources towards its promotion or expansion.

You can also use sales data to make decisions about your sales team. By analyzing individual sales performance data, you may identify trends or patterns that highlight areas for improvement.

For example, if a particular salesperson consistently struggles with closing deals, you may consider providing them with additional training or coaching to enhance their skills. Alternatively, you may identify high-performing sales team members and recognize their achievements to motivate the rest of the team.

How to Share Sales Data with Your Team

Sales data is not just for you. It’s also important to share your data with your sales team so that they can use it to improve their performance.

There are various ways to do this. For instance, you can create a shared spreadsheet or database that is accessible to all team members, allowing them to view and analyze data in real-time. This promotes transparency and fosters collaboration, as team members can collectively track progress, identify opportunities and take appropriate actions.

Another option is to send out regular reports that summarize key sales metrics and performance indicators (KPIs, or OKRs) to your team. These reports can be delivered via email, shared on a team communication platform or posted on a shared drive for easy access.

In addition, holding regular sales meetings or performance reviews where sales data is discussed and analyzed can provide opportunities for team members to provide input, share insights and collectively brainstorm improvement strategies.

It’s essential that the sales data shared with your team is presented in a clear and understandable manner, with relevant context and insights provided. This can help team members interpret the data correctly and use it to make informed decisions, set realistic goals and take actions that can positively impact performance.

READ MORE: How To Raise Prices Strategically with Sales Team Buy-In


Using sales data to improve your results is a continuous process. Perhaps this level of detail is new to your business, or maybe you’re unsure how to scale your existing strategy.

You might even be trying all these things and still not seeing the progress you expect.

It might be time to bring in an expertly vetted service provider that knows your industry inside-out and can equip your sales team and its leaders to reach the next level.

Whether you’re selling physical products, software, services or anything else that’s core to your business, the BluWave-grade sales effectiveness firms and consultants are on standby to help.

We maintain a close relationship with each and everyone one of the resources that make up our invite-only network, which means we know the best match for you before you ever contact our research and operations team.

Contact us today to lay out the challenges you’re facing to properly leverage sales data and we’ll connect you to two of three niche-specific matches in less than 24 hours.

Automating Accounts Payable: Benefits of the Best Software

What is AP Automation Software?

Accounts payable (AP) automation software is a multifunctional tool that assists businesses in optimizing and automating their accounts payable operations. This can involve activities such as processing invoices, matching purchase orders, and reconciling payments. AP automation software has the potential to reduce risk, increase precision, and save time and money for businesses.

AP automation software typically comes equipped with the following functionalities:

  • Invoice processing: The software can automatically acquire invoices from vendors, extract critical data, and direct them for approval.
  • PO matching: The software can match invoices with purchase orders to verify accuracy and ensure that the appropriate products or services were received.
  • Payment reconciliation: The software can cross-check payments against invoices to confirm timely payment and accurate payment amounts.

AP automation software is an advantageous tool for businesses of all sizes. By employing this software, businesses can enhance their accounts payable processes, reduce risks, save time and money, and improve accuracy.

Technology Diligence

Benefits and Features

AP automation can provide a number of benefits for businesses, including increased efficiency, reduced costs, and improved accuracy.

Save Time

AP automation software can streamline accounts payable procedures such as invoice processing, PO matching, and payment reconciliation, freeing up time for other tasks like negotiating vendor discounts.

Save Money

By minimizing expenses and removing the need for manual data entry and processing, AP automation software can help businesses save money.

Improve Accuracy

With AP automation software, businesses can ensure prompt invoice payments and accurate vendor payments, thanks to decreased likelihood of human errors.

Reduce Risk

AP automation software generates an easily traceable record of all transactions, which helps to safeguard businesses from fraud and financial losses.

CASE STUDY: Accounting Specialist in a Hurry for a PortCo

Choosing an AP Automation Tool

Choosing the right AP automation software for your business depends on your specific needs. Experienced third parties who have helped businesses implement these exact systems are an excellent resource.

Some factors to consider include:

  • The size of your business: The size of your business will affect the type of AP automation software you need. Larger businesses may need a more sophisticated solution, while smaller businesses may be able to get away with a simpler solution.
  • The volume of invoices you process: The volume of invoices you process will also affect the type of AP automation software you need. If you process a large number of invoices, you will need a solution that can handle the volume.
  • Your budget: AP automation software can range in price from a few hundred dollars to tens of thousands of dollars. It is important to set a budget before you start shopping for a solution.
  • Integrations: Some AP automation software solutions offer integrations with other business systems, such as ERP systems and accounting software. If you have other business systems in place, you will want to make sure that the AP automation solution you choose can integrate with them.

If you’re not sure how to make this evaluation, it might be a good time to bring in an experienced third party.

READ MORE: Tech Stacks of Companies: How To Choose

Best Accounts Payable Software

While there isn’t one “best” software solution, here are some of the more popular ones:

  • NetSuite: NetSuite is a cloud-based ERP solution that includes a number of features for AP automation.
  • DocuPeak: Docupeak is a web-based AP automation solution that offers a number of features, including invoice processing, PO matching, and payment reconciliation.: DocuPeak is a web-based AP automation solution that offers a number of features, including invoice processing, PO matching, and payment reconciliation.
  • Tipalti: Tipalti is a cloud-based AP automation solution that offers a number of features, including invoice processing, PO matching, and payment reconciliation.

A BluWave-grade expert from our expertly vetted network can help you choose among these and other top providers, saving your time and money.

READ MORE: Outsourced Bookkeeping Services: Third-Party Accounting Help


Matching your specific organization’s needs to the right accounts payable automation software can be time-consuming. The risks of choosing the wrong providers for such an important task are too high to leave to chance.

The Business Builders’ Network is full of proven third parties who have helped countless PE firms, portfolio companies and private and public businesses choose the right partner for this exact situation.

Our research and operations team knows the exact-fit, industry-tailored service provider for your specific situation before you even contact us.

Set up a scoping call today, and you’ll be introduced to of the best options on the market within a single business day.

Tech Stacks of Companies: How To Choose

What is a Tech Stack?

A tech stack is a set of software tools and programming languages that serves as the foundation of any technology project, including websites, desktop software and apps.

It’s also the backbone of a project and can determine its performance, scalability and maintenance in the long run. Selecting the right one can help developers streamline their work, speed up the development process and provide a better user experience.

CASE STUDY: Transforming Big Data into Actionable Insights for Legal Services

software merger integration

Tech Stacks of Companies: Examples

  1. The LAMP Stack is a widely used open-source web development stack that is suitable for creating dynamic websites. It comprises Linux, Apache, MySQL, and PHP, where Linux is the operating system, Apache is the web server software, MySQL is the database management system and PHP is the programming language used to create dynamic web pages.
  2. MEAN Stack is a comprehensive JavaScript framework that is widely used to create dynamic web applications. It comprises MongoDB, Express.js, Angular and Node.js. MongoDB serves as the NoSQL database management system, Express.js is a web application framework used with Node.js, Angular is the front-end JavaScript framework that enables the creation of dynamic web pages and Node.js provides the back-end JavaScript runtime environment.
  3. Another JavaScript framework that is commonly used for creating web applications that support real-time updates is the MERN Stack. It comprises MongoDB, Express.js, React, and Node.js. MongoDB serves as the NoSQL database management system, Express.js is a web application framework used with Node.js, React is the front-end JavaScript library used for building user interfaces and Node.js provides the back-end JavaScript runtime environment.
  4. Ruby on Rails is a well-known web development framework that utilizes the Ruby programming language. It is a preferred choice for startups because of its user-friendly interface and straightforwardness. Ruby on Rails follows the Model-View-Controller (MVC) architectural pattern and emphasizes convention over configuration.
  5. The .NET Stack is a Microsoft technology stack that includes tools such as C#, ASP.NET, and Microsoft SQL Server. It is widely used for creating enterprise-level web applications. C# is an object-oriented programming language that helps develop Windows desktop applications and ASP.NET is a web application framework used for creating dynamic web pages.
  6. Django Stack is a Python web development framework that is widely used for creating scalable and secure web applications. Django follows the Model-View-Template (MVT) architectural pattern and incorporates an Object-Relational Mapping (ORM) layer that enables developers to interact with databases using Python code.
  7. The iOS Stack is a comprehensive stack of tools that includes Xcode, Swift, and Objective-C and is widely used for creating iOS mobile applications. Xcode is an integrated development environment (IDE) used to develop iOS apps, Swift is a programming language developed by Apple specifically for iOS app development and Objective-C was previously used to develop iOS apps before Swift was introduced.
  8. The Android Stack is another comprehensive stack of tools that includes Android Studio, Java, and Kotlin and is widely used for developing Android mobile applications. Android Studio is an IDE used to develop Android apps, Java is an object-oriented programming language that is used for building Android apps and Kotlin was introduced by Google as an alternative to Java for Android app development.

How To Choose the Right Tech Stack

Choosing the right tech stack is a critical decision for private equity firms. The right PE technology stack should be a cohesive system that enables fund managers to source deals, manage relationships with limited partners and portfolio companies, and close more deals.

A firm with the right technology solutions in place can work smarter and faster, deliver higher-margin services and ultimately increase profitability. For private equity firms, the technology stack should be viewed as an investment and a way to stay ahead of the competition.

READ MORE: The Power of AI, Data Analytics in IT Due Diligence

There are many factors that go into choosing the technology stack, but here are some of the more important ones:

  1. Out-of-the-box solutions: These are pre-built software solutions that can be used to solve common problems. They can save time and money by reducing the need for custom development. Examples include WordPress, Shopify and Salesforce.
  2. Integration with third-party solutions: This refers to the ability of a tech stack to work with other software solutions. It’s important to choose a tech stack that can easily integrate with other tools you may need in the future. Examples include Zapier, Segment and Twilio.
  3. Developer availability: This refers to the availability of developers who are skilled in a particular tech stack. It’s important to choose a tech stack that has a large pool of developers available so that you can find the right talent for your project.
  4. Documentation: This refers to the quality and quantity of documentation available for a particular tech stack. Good documentation can help developers get up to speed quickly and reduce the time needed for troubleshooting. Examples include React documentation and Django documentation.
  5. Easy to test: This refers to how easy it is to test code written in a particular tech stack. A good tech stack should have testing tools built-in or have easy-to-use testing frameworks available. Examples include Jest for React and Pytest for Python.

READ MORE: Data Warehouse Types: How To Choose the Right One


If any of this sounds like unfamiliar territory (and even if it doesn’t), it may be a good reason to look for expert help.

There are experienced, proven service providers out there who know industry-specific tech stack requirements inside-out and can help your business make the best decisions every step of the way.

READ MORE: How To Extract Data from ERP Systems

Fortunately, you don’t have to waste time searching for them. Hundreds of PE firms and private and public companies tap into the Business Builders’ Network for this exact reason.

Not only will you be connected in less than one business day, but we’ll only provide the exact-fit resources that are experienced in your particular industry.

Contact out research and operations team to get started with your firm’s or company’s tech stack.

List-Build Expert Needed To Grow Portco Contacts

Service Area: List Builds

Client Type: Upper-Middle Market Private Equity Firm

Service Provider Type: Business Process Outsourcing Firm

Industry: Life Sciences & Pharmaceuticals

Need
Life Sciences & Pharmaceuticals List Building Expert

A PE-firm’s portcos were wasting precious time manually building lists by going from website to website and scraping LinkedIn. They needed an experienced third-party resource that could create a contact map with shared customers across multiple businesses.

Challenge
Grow Portco Contacts

Multiple portcos were using different systems to work with many of the same customers in the life sciences industry. The PE firm wanted to not only identify overlap and consolidate efforts, but expand their database faster.

How BluWave Helped
The Business Builders’ Network

After a Vice President at the PE firm emailed us, we immediately got on a call to scope the specific outsourcing need. Armed with a better understanding of the situation, we provided for the client multiple industry-specific BPO shops that specialize in list builds.

Result
Connected a best-fit service provider

The firm quickly identified the best fit among the short-list of options we presented, and engaged them to build and consolidate their contacts across multiple portcos.

The service provider did great work. We will be using them again if something comes up. Ten out of 10 quality and service.

-Vice President, PE Firm

How To Extract Data from ERP Systems

What is ERP (Enterprise Resource Planning)?

Enterprise Resource Planning (ERP) software streamlines business processes by coordinating data flow across an organization. It provides a single source of truth and optimizes operations.

They are used to manage everyday business activities such as finance functions, compliance, risk management, retail, supply chain and HR.

HR Diligence

How To Extract Data from ERP Systems

Integrate API Endpoints

One way to extract data from ERP systems is by connecting your database to an API management platform.

From there, you can define and test your API endpoints with an external tool.

Lastly, you will integrate the API endpoints in order to get the data from the ERP system.

Use Extract, Transform and Load (ETL) Tools

Another way is by connecting your ETL tool to your ERP system’s database.

Once connected, you must tell the program what information you want to pull out before converting it into a format other systems can use.

Then you can put all that converted data into a database.

READ MORE: What are the Different Data Warehouse Types?

Get Help with ERP Systems

As you might have gathered from the overview above, managing Enterprise Resource Planning data is no easy task.

That’s why so many PE firms seek help for their portcos in this area. Private and public companies often seek outside support, too.

Here are the primary hurdles we hear about on scoping calls where a client needs help extracting data from their ERP:

  1. Lack of internal expertise: This is a common challenge when extracting data from enterprise resource planning (ERP) systems. Outsourcing to a third-party service provider offers access to domain experts with the knowledge and skills to efficiently extract data.
  2. Time constraints: Outsourcing offers a faster turnaround and allows companies to focus on core business functions rather than data extraction, which can be a time-consuming process.
  3. Complexity: Extracting data can be complex, especially if the data is spread across different modules or systems. Experienced service providers who specialize in data extraction can provide a more efficient solution and ensure that the information is accurate and reliable.
  4. Cost: Investing in the necessary hardware and software to extract data from an ERP system can be expensive. By outsourcing the project, companies only pay for the services they need.
  5. Need for specialized tools: Companies may not have access to the necessary specialized tools and software. These same tools will be part of a third-party service provider’s day-to-day toolkit.
  6. Data accuracy concerns: Extracting data from an ERP system requires a high level of accuracy to ensure that the data is reliable and can be used for reporting or analysis. If you leave this to chance, you may end up making important decisions based on faulty data.
  7. Need for customized data extraction: Companies may require customized data extraction from their ERP system, which may not be possible with existing in-house resources. Outsourcing to a third-party provider can provide customized solutions that meet the specific needs of the company.
  8. Compliance and regulatory requirements: The data extraction may be subject to specific regulations or industry standards. Companies may not have the in-house expertise to ensure that the process meets these standards, and can benefit from the provider’s knowledge of industry-specific regulations and standards. This helps minimize the risk of regulatory violations, legal penalties and reputation damage.
  9. Scalability: As a company grows, the amount of data generated by an ERP system may increase, and the data extraction process can become more unwieldy. There may become a point when companies don’t have the resources to handle the volume of data generated by their ERP system. Third-party providers can offer scalable solutions that can handle larger data volumes and provide ongoing support as the company grows.

If you’re ready to extract data from your ERP system, we’re here to connect you with a niche-specific, expertly vetted service provider.

We know the resource you need for your specific situation before we ever jump on a scoping call, and we’ll introduce you to two or three best-fit solutions in less than one business day.

Contact us now to meet BluWave-grade solutions to your biggest technology challenges.

Centralized Data Management: Business Intelligence & Analytics

What is Centralized Data in Business?

Centralized data in business analytics involves consolidating information from across an organization into a single system for easier analysis.

“This aspect of business intelligence and analytics is important because it gives companies visibility into KPIs at a high level,” says Brandon John, BluWave’s Service Provider Relationship Manager.

The consolidation usually happens in something called a data warehouse.

Read More:What Are the Different Data Warehouse Types?

Business intelligence practices like centralization are becoming more and more important to businesses, whether that mean private equity, portcos or private and public companies.

According to our most recent quarterly report, we saw “broad-scale adoption of data quality and visualization endeavors and emergent efforts in higher level analytics and AI.”

Let’s take a closer look at what data centralization can do for your business.

Read More: What is Business Intelligence Automation?

Benefits of Data Centralization

Increased Visibility and Transparency

Centralized data provides a single source of truth so leadership can make faster, more accurate business decisions.

Early Detection of Issues

Centralized data allows businesses to identify problems sooner before they become bigger issues.

More Consistency

Different departments often have the same definitions and metrics for things like active users and sales. By centralizing data, you can eliminate confusion at the leadership level.

Holistic View of Customer Journey

Centralized data from marketing, sales and customer service systems provide a complete picture of the customer experience.

Advanced Capabilities

It is easier to analyze data and find insights when all of the relevant data is in one place. Businesses can more easily see correlations across different data sets.

Increased Efficiency

Employees don’t have to spend time aggregating data from different systems. Everything is available in a single source.

Improved Trust

There is confidence that the data and reports are accurate and consistent since there is only one version of the truth.

Continue reading “Centralized Data Management: Business Intelligence & Analytics”

In the Know: Essential, Accessible Digital Transformation

Digital transformation is no longer something only the biggest, wealthiest companies can afford.

Not only are these services within reach for businesses of all sizes – from enterprise organizations to lower middle market companies – but they’re also essential.

Learn about common improvement areas all businesses can implement to accelerate digital transformation efforts.

  • Business leaders, including operations partners at private equity firms, C-level executives and functional leads are evaluating the digital capabilities and infrastructure in their companies to identify areas for improvement
  • Simple improvements to workflows or procedures can significantly trim manual tasks and optimize human capital during economic uncertainty
  • “No-regret” moves such as the following can accelerate change in a targeted, cost-effective way:
    • Adopting cloud and SaaS solutions
    • Improving cybersecurity
    • Enhancing website capabilities with tools like chatbots
    • Automating order processing and inventory management
Continue reading “In the Know: Essential, Accessible Digital Transformation”

Pricing Consultants: Hire an Expert

What Do Pricing Consultants Do?

Pricing consultants help businesses maximize profits based on researching trends, competitors, customer behavior and more. The goal is to maintain high demand and revenue generation without sacrificing quality, loyalty or perception.

Setting the right price for a product or service is a key factor in maximizing profit margin. It can unlock substantial additional revenue when done correctly.

In fact, demand for pricing strategy resources continues to increase in this high-inflation economy. It’s often among the most-sought resources in the BluWave network.

If you want to hire a pricing expert, here’s what you should look for during your evaluation.

READ MORE: How To Raise Prices Strategically with Sales Team Buy-In

Set Price

How consultants set prices depends on many factors, such as the type of product or service, market conditions, customer segments and business goals. That’s why it’s so important to hire someone who will take the time to intimately understand your organization and its competitors.

By choosing the “right price,” these consultants help maximize a business’s ROI by protecting profit margins while maximizing revenue and demand.

Pricing consultants may use a number of different high-level strategies: cost-plus pricing; value-based pricing; dynamic pricing; promotional pricing; penetration pricing; skimming pricing.

Pricing, however, is not a one-time exercise. They must be constantly assessed and adjusted based on performance. Consultants work closely with their clients to understand their objectives and constraints and develop a pricing strategy that supports them.

They help businesses choose the “right price” that aligns with the overall business strategy, marketing plan and sales goals to achieve maximum ROI.

Pricing Market Research

When choosing a pricing consultant, finding someone who thoroughly researches the market before making recommendations is essential. Pricing consultants use various methods such as surveys, interviews, focus groups, experiments, data analysis, and more to gain customer and market insights. This establishes a solid foundation for an effective strategy.

In addition to customer and market insights, pricing consultants also consider production, distribution and other operational costs to develop a strategy that ensures profitability.

Pricing consultants also analyze competitors’ strategies to identify opportunities and potential threats. This analysis includes not only their product or service prices, but also their promotions, discounts and other tactics.

To measure price sensitivity, consultants may use techniques such as conjoint analysis or price elasticity testing. This helps them determine how price changes may affect customer demand. They also use digital tools such as web analytics, social listening and sentiment analysis to gain insights into customer behavior and preferences.

All this market research can help validate a new product or service, identify customer value drivers, measure price sensitivity, segment customers by willingness to pay, benchmark competitors’ prices and more.

Target Pricing Strategy

After conducting market research and analyzing customer insights, pricing consultants typically use a combination of quantitative and qualitative analysis to create a pricing strategy that meets their clients’ goals. This includes:

  • Segmenting customers: Based on their willingness to pay, customer segments are created to help determine the optimal pricing strategy. This involves identifying the different types of customers, their preferences and their willingness to pay for a particular product or service.
  • Identifying value drivers: Consultants work with their clients to identify the key value drivers for their products or services. This involves understanding what features or benefits are most important to customers and how they affect their willingness to pay.
  • Developing pricing structures: After identifying customer segments and value drivers, consultants develop pricing structures that align with their clients’ business goals. This may involve creating different pricing tiers or packages that offer different levels of benefits or features.
  • Conducting sensitivity analysis: For an optimal pricing strategy, consultants conduct sensitivity analysis to understand how changes in pricing may affect demand and revenue.
  • Developing measurement tools: Pricing consultants also develop measurement tools to monitor the performance of the pricing strategy over time. This includes setting up metrics and analytics to track sales, revenue, profit margins and customer satisfaction.

By using a combination of market research, quantitative analysis, and pricing strategies, pricing consultants help businesses maximize ROI and growth.

READ MORE: Industrial Pricing: Strategies for Manufacturing Businesses

Customer Analysis

To better understand customer behavior and preferences, pricing consultants use a range of techniques to gather insights:

  • Key decision factors: One of the first steps in understanding a customer base is defining what motivates them. This involves identifying the main drivers of customer behavior, such as price, quality, brand reputation or convenience.
    Research techniques such as surveys, focus groups and data analysis can all be used to understand what influences purchasing decisions.
  • Willingness to pay: This concept helps businesses determine the optimal price point for their products or services.
    Essentially, willingness to pay is a measure of how much customers are willing to spend on a particular product or service based on factors such as perceived value, quality and market competition.
  • Preferences: Customer needs vary from market to market. For example, pricing consultants may work to reduce churn for a SaaS organization by understanding customers’ needs, what they value and how they make choices. Success is measured by an increase in adoption and revenue.
  • Offer options: Offering choices with good-better-best options and bundles that meet varying needs, use cases and budgets can reveal a lot about a customer. KPIs here include customer adoption and employing Give-Gets to protect price/value alignment.
  • Perception of discounts: It’s also important to understand how customers perceive discounts and how they influence purchasing decisions. This information is also used to inform pricing strategies that maximize revenue while maintaining loyalty.

A pricing expert will know when and how to use each of these tactics to develop the deepest understanding of the customer base for your particular industry.

READ MORE: Hire an Interim CFO


Some businesses never realize the potential of their products or services because they’re not charging the right price.

By blindly setting prices without conducting proper diligence, you’re leaving money on the table. Depending on the size of your business, this could mean millions of dollars.

Fortunately, there’s a roster of expertly vetted price consultants ready for you to hire from within the BluWave Business Builders’ Network.

We have thoroughly evaluated each and every pricing resource that’s been invited into our network so that you can move forward with confidence. These niche-specific resources have invaluable experience helping companies like yours optimize prices.

Whether you’re a PE firm working with a portco, or a private or public company that wants to accelerate revenue growth, we already have the right service provider for you.

Contact our research and operations team to get connected with two or three best-fit options in less than one business day.

WHAT IS A VOICE OF THE CUSTOMER SURVEY?

Companies conduct voice of customer (VoC) studies to better understand how people interact with their product or service.

While there are many techniques to gather this information, the objective is largely the same: Ensure the customer is being heard and served as best as possible.

READ MORE: What Makes a Commercial Due Diligence Firm ‘Specialized’?

Private equity firms, portfolio companies, and private and public companies can all benefit from a strong voice of customer framework.

“Voice of the customer is extremely important to businesses because it allows companies to have visibility into where they are performing highly and where they are not,” says Brandon John, BluWave’s service provider relationship manager. “By hearing exactly how their customers feel about their brand, they can allocate the appropriate resources to improve some identified areas.”

Let’s talk about some of the advantages organizations can gain with the information gathered in VoC research.

MSP

Benefits of VoC

There are several advantages to conducting a voice-of-customer survey. It come as no surprise, then, that it’s been top-of-mind for our clients for years.

“VoC projects are always going to be something PE firms prioritize with their portcos,” John says. “We receive steady demand in this space and have since BluWave was founded.”

READ MORE: Voice of Customer Process: Methodologies for Better Service

Deeper Customer Understanding

Rather than merely gathering feedback, VoC research helps companies reimagine their products and services to surpass customers’ needs by gaining an intricate understanding of who they are and what they want.

This includes how and when they use the product, as well as why they’re more (or less) likely to choose it over a competitor.

Improved Loyalty and Retention

Listening to customers and resolving their concerns establishes trust and loyalty, decreasing attrition and boosting customer lifetime value.

A client is more likely to stick with a brand that it feels has its best interests in mind.

Better Business Decisions

Actionable insights gleaned from customer input can steer key business choices around product roadmaps, marketing campaigns, pricing strategies and service models.

Increased Bottom Line

An unparalleled customer experience not only spurs growth, but also a competitive edge. One study showed that companies with strong VoC programs boast 10X more annual revenue growth.

Enhanced Customer Satisfaction

Catering to customers’ needs and wants forges lasting connections. It not only enhances the existing customer experience, but makes it more likely to acquire new ones as you get a better grasp on your target market.

This can have a compound effect as a happy customer is also more likely to recommend your brand or service to friends, families, colleagues and industry peers.

Employee Retention

This might come as a surprise, but your own employees can also benefit from VoC studies. That’s because it gives them a stronger connection to the customer by putting themselves in their shoes. The more aligned the employees are with the clients, the more satisfied they tend to be, thus limiting turnover.

Voice of the Customer Best Practices

Use Multiple Channels

To comprehensively capture the opinions of your customers, you should employ multiple avenues for feedback, including surveys, social media, reviews, emails and phone calls.

By using a variety of channels to gather input, companies can gain a multifaceted understanding of client needs and desires that fuels business decisions, improved experiences and financial gains.

Choose Timing Wisely

The timing of requests for customer feedback can significantly impact the quality and amount of responses. Businesses should choose a moment that is relevant, convenient and respectful for clients, such as after a purchase, service interaction or milestone.

Businesses that are considerate in their requests for input are more likely to receive thoughtful, actionable responses that can drive key business decisions and improved outcomes.

READ MORE: What is Commercial Due Diligence?

Act Quickly

The best moment to act on feedback received is as soon as possible. While you want to be diligent about understanding and applying what customers tell you, times is of the essence.

This is especially important when it comes to fixing problems, resolving negative feedback and staying ahead of competitors.

Segmentation

To gain business insights, companies should analyze customer feedback and group clients by factors like demographics or habits. Tailoring actions to different groups helps build loyalty and boost revenue.

It also establishes trust, decreases attrition and increases lifetime value by making each experience as tailored as possible.

READ MORE: 5 Steps to an Effective Voice of Customer (VoC) Strategy

Ask Clear Questions

The quality of your feedback depends largely on the quality of your questions. You should ask clear, concise and specific questions that are easy to understand and answer. You should also avoid leading, biased or ambiguous questions that can skew your results.

The value of customer input hinges greatly on the quality of the questions posed. Aim for clear, crisp and targeted inquiries that are easy to comprehend and respond to. Avoid being suggestive, biased or obscure lines of questioning that can skew results.

Your goal is to learn what customers think about your business, not try to convince them of something.

Acknowledge Feedback

One of the most important VoC best practices is to acknowledge your customers’ feedback and show them that you appreciate their time and opinions. There’s never been more competition for our time, so the fact that someone is willing to participate in your study means they probably have strong feelings.

Follow up with a thank-you message, sharing how their feedback will be used or even offering a reward (see below).

Share Findings Internally

To turn feedback into action, you need to share your findings with the relevant stakeholders in your organization. You should communicate the key insights, recommendations and action plans to your employees, managers and leaders. You should also encourage collaboration and accountability across different teams and departments.

Benchmark Against Your Industry

To measure your performance and progress against your competitors and industry standards, you should benchmark your VoC metrics against external data sources. You can use industry reports, surveys or benchmarks to compare your customer satisfaction, loyalty and advocacy levels with others in your field.

Test and Optimize

VoC best practices are dynamic, not static. You should constantly refine your program to ensure that it is effective, efficient and aligned with your overall business goals.

This can be done with A/B testing, analytics or feedback loops to evaluate and improve your VoC methods, tools and strategies.

Involve Key Stakeholders

To ensure that your VoC program has the support and resources it needs to succeed, you should involve key stakeholders from the start.

Identify decision-makers, influencers and beneficiaries of your program and engage them in defining the goals, scope and outcomes of your efforts.

Offer Participation Incentives

To increase your response rates and motivate your customers to share their feedback , you can offer participation incentives such as discounts, coupons, freebies or loyalty points.

Choose incentives that are relevant, attractive and proportional to the effort required from your customers.

READ MORE: Understanding Voice of Customer: Metrics, KPIs, Analytics


The expert service providers in the BluWave network know the importance of understanding your customers.

We constantly vet and re-vet the best third-party resources for this exact need, no matter what your customer type or industry.

“We have a solid bench of VoC providers in the BluWave network,” says John, who interacts with these third-party resources on a daily basis. “However, it is important to have the right group, for the right need, at the right time.”

Contact our research and operations team and walk us through your VoC needs. In less than one business day, we’ll introduce you to two or three exact-match options.

“Like all service toolboxes in the BluWave network, the VoC toolbox is always rapidly expanding,” John adds.

Once you make a selection, we’ll hold the service provider accountable from start to finish as they bring their voice of customer expertise to your specific situation.

Business Intelligence Automation: What is it?

Business intelligence continues to be among the most high-demand services in the Business Builders’ Network.

One aspect of BI&A that’s popular is automation.

The founding partner of one of our BluWave service providers says BI automation is essential to modernizing data analysis.

“A lot of times the process involves people pulling data into spreadsheets manually, analyzing, cleaning, doing stuff with the data and then giving it to their bosses or whoever downstream needs them,” says the partner, Mike Datus*. “That’s usually a very error-prone process because it’s done by humans.”

BI automation can change all that, and make life much easier for both the analysts as well as those downstream superiors.

Let’s talk in more detail about BI automation tools, their benefits as well as potential drawbacks.

READ MORE: What is Business Intelligence & Analytics?

business analytics

What is Business Intelligence Automation?

Business intelligence automation is the process of consolidating and streamlining your company’s data into a single warehouse that can be accessed in real-time.

Automation provides instantaneous insights that forgo manual input and data manipulation to give team members actionable, consistent information to drive their day-to-day decisions.

Put another way, it helps you automate business processes.

Companies that are older, or perhaps resource-challenged, can benefit greatly from automating their data collection and analysis.

Another data firm’s founding partner, who we’ll call Steve Holms*, puts it this way:

“Holding larger data sets and integrating more data sources to do analysis across several different places makes it a lot easier to analyze.”

Business Process Automation Benefits

It’s no surprise that business intelligence tools are in such high demand. We have seen countless PE firms and other companies streamline processes and improve real-time decision-making because of them.

Here are just a few of the reasons why you should consider implementing or upgrading your automation efforts.

Save Time

Not only will you complete key tasks sooner, but you’ll be able to make important decisions faster, too.

“You’re talking about orders of seconds instead of hours or days, right? And then that’s huge,” Datus says. “With one of our clients, we built a platform, so instead of waiting a week, the CFO now had a live dashboard in board meetings. So when he was asked a question, he didn’t have to say, ‘I’ll get back to you next week.’ He literally just popped up his dashboard, did a quick filter, and had the answer.”

Our service providers often see situations where top executives need different versions of the same report depending on who they’re working with or what meeting they’re in at a given moment.

This often meant one-off iterations of the same data sets that take might not be available the same day, or even week.

“If the analyst has to go back, they have to go back and pull the data again, do the analysis, run it through, right? That’s another runtime,” says Holms, who noted that those iterations add up.

Another time-saving scenario is if an analyst leaves the company, is on vacation or has an emergency. Data analysis doesn’t stop as soon as that key player becomes unavailable.

“You only have to program it once, and you’re done,” Holms says. “It’s all in the database, and they don’t have to email anybody in case they didn’t get the report.”

READ MORE: Data Warehouse Types: How To Choose the Right One

Scalability

Have you ever tried to access a report so robust that you thought your computer might break down? You’re not alone.

Another benefit of business intelligence automation is the ability to scale.

“Sometimes your data’s so large, it’s hard for Excel to even open, right?” Holms says. “How does sales correlate with product performance, correlate with manufacturing, correlate with this? —putting it in one place makes things a lot easier to expand.”

Save Money

There are multiple ways BI automation can save your company money:

  • You may be able to reduce headcount on your analytics team and reinvest those savings elsewhere
  • The time you do save – as mentioned earlier – is time for which you’re no longer paying
  • The data itself could unveil inefficiencies in your business that are ripe for improvement
  • Manual intervention is expensive. By cutting out intermediaries, and empowering decision-makers more quickly, they can use expertise that no program can account for to make impactful decisions

Consistency

Humans are much more error-prone than machines. Especially well-designed and well-programmed machines.

While you wouldn’t want to automate a process so heavily that it’s no longer monitored, the correct calibration can set your team much more at ease.

“You’re building good processes to make sure it’s consistent. It’s done by computers, so once you do it once it’s pretty robust, unless the data itself changes or the business changes,” Holms says. “Sometimes you just get errors that are difficult to detect. And if you want to go back to see what were my numbers last week or two weeks ago or three months ago, you have to go into your email inbox and search for the report.”

With BI automation, you can leave the inbox behind and find everything you need in your dashboard.

“It’s all in the database,” Holms says, “and they don’t have to email anybody in case they didn’t get the report.”

Dynamic Reports

As we already hinted at above, automated dashboards and visualizations are essentially living, breathing databases.

Instead of plugging new information into a spreadsheet every time you want to update a report, it’s available instantaneously. Not only that. Since it’s connected to the source, you don’t have to input the data at all.

“Once you have it all there getting updated predictably, you can create these really rich charts and graphs, because with these tools you can get these visuals that aren’t static,” Datus says. “The real-time dashboards update as the data comes into the system. So if you want to see one chart or the set of 20 charts for last week just for finance, you can click a few things, and you can get that report.”

Risks of Automation

While automation can be valuable to a business, it doesn’t come without some potential downside. With the right help, though, we believe all of these can be overcome.

Job Loss

Automation may replace human workers and lead to job losses – at least in the short term.

A benefit of this, though, is that it frees those some people up to learn and use new skills that are equally valuable to the business. Money saved on one area of human capital can be reinvested in your talent.

System Failures

Automated systems can experience technical issues, thereby disrupting business operations. You would hope that this is the exception and not the norm, but even so, manual intervention may be required to fix the issues.

Expert service providers, however, are familiar with the most common vulnerabilities, and will know how to not only fix them, but also proactively prevent them.

READ MORE: What is Technical Debt in Due Diligence?

Lack of Flexibility

Automated systems are designed to handle repetitive, routine tasks in a predetermined manner. They may lack the flexibility to adapt to unexpected situations or changes.

This is quickly changing, though, with the implementation of more and more AI tools that can often course-correct much faster than humans.

This perceived “risk” is quickly becoming a moot point in many senses.

Cost

Implementing and maintaining automated systems can be expensive. This is most likely to be an issue for very small businesses that have less to automate and can handle all their data by traditional means.

Large companies with more robust budgets will probably find that the investment is well worth it in the long run. This includes private equity firms, their portcos, and private and public companies of all shapes and sizes.

While automation involves these and other risks, it’s an increasingly valuable and in-demand facet of business intelligence. Based on the feedback we receive from our clients and expert service providers, we wouldn’t shy away from exploring how your business can benefit from automation.

BI Automation Tools

Now that you have considered the pros and cons of BI Automation, it’s time to look at the tools at your disposal. While all of these can have a significant impact on your business, you want to make sure you’re using the right ones.

Let’s get familiar with a few of the high-level categories, as well as some specific business automation technologies within them. That way, when our research and operations team connects you to a tailor-made, niche-specific firm to set up your BI automation, you’ll have an idea of what you’re looking for.

Dashboards

BI automation dashboards display key performance indicators, data points and other important metrics in an easy-to-understand format. They provide a 360-degree view of performance using charts, graphs and other visuals.

They offer a quick-glance overview of your organization’s most important metrics, allowing users to quickly identify areas of strong or weak performance, spot emerging trends and gain data-driven insights. Some examples include Power BI, Tableau and Qlik Sense.

READ MORE: Platform Modernization: App, Software Upgrade

Common metrics used to evaluate business performance are cash flow, customer satisfaction and website traffic. Others include sales revenue and customer loyalty.

When you work with an experienced data analytics firm, they’ll be able to match your business needs to the right tools.

Visualizations

BI automation visualizations enable end users to execute automated workflows based on insights within a report. The workflows can be data-contextual, meaning they can change based on filters.

They are often used to connect multiple data sources, create interactive dashboards and charts, provide real-time visualizations and alerts and utilize natural language processing.

Power Automate visual, DataBox, Datapine, Domo and IBM Cognos Analytics are a few of these tools. They can be used to connect to Excel spreadsheets, SQL databases, social media platforms and more.

Predictive Analytics

This type of BI automation tool leverages artificial intelligence and machine learning to automatically generate and apply predictive models based on data insights. Predictive models are employed to forecast what may occur in the future dependent on historical and current data.

These are often used to predict things like customer churn, sales revenue and product demand. They’re especially utilized in the healthcare, finance and marketing industries.

Some of the more popular tools include RapidMiner, Alteryx, SAS Visual Analytics, KNIME, and SAP Analytics Cloud.

Data Mining

Data mining techniques to extract valuable insights from large data sets for making more informed decisions. It’s a branch of data science that searches for patterns, anomalies and correlations in using statistics, artificial intelligence and machine learning.

READ MORE: How To Extract Data from ERP Systems

It’s often used to solve customer segmentation, fraud detection and market basket analysis. Many of the tools listed in the sections above can also be used for these tasks.


If a lot of this sounds new to you and your team, that’s OK. In fact, Holms says that even a well-composed manual report can be a great launching point for BI automation.

“I would say even if you have an Excel report and it’s a good Excel report, you’re already ahead of the game,” he says.

If you don’t know where to start, set up a scoping call with our research and operations team. We’ll connect you to world-class firms like Datus’s, Holms’, or other PE-grade service providers that can serve your exact needs for your particular industry.

*Privacy is important to us. While the source and company name have been changed, these are real quotations from a real service provider in the BluWave Business Builders’ Network.

Product Vision Roadmap: What is it?

A product vision roadmap defines your vision and strategy, creates your product roadmap, gains alignment and buy-in, and tracks progress and re-aligning.

These steps serve as a guide for your team and key stakeholders throughout the product vision process.

Let’s take a closer look at each phase.

Define Your Product Vision and Strategy

Defining your product vision is the first step in creating a roadmap.

It should explain the purpose of your product, how it aligns with your company’s vision, the problems your product aims to solve and who it is intended for. It will guide all your product development efforts.

Your strategy should outline key objectives and priorities to achieve your vision. It should articulate how your product will be successful in the marketplace as well as differentiate itself from competitors.

Map Your Product Roadmap

Once you have defined your product vision and strategy, it’s time to map out your product roadmap.

This visual representation involves determining key product milestones and timelines to achieve the product vision and strategy. It also provides a high-level overview of the product’s development, identifying major releases and features.

The roadmap should be detailed enough to guide the product team yet concise enough for leadership and stakeholders to quickly grasp.

It requires balancing short-term and long-term goals to keep the product competitive while focusing on key priorities.

READ MORE: Market Analysis: Growth Strategy for Businesses, PE Firms

Gain Alignment and Buy-In

Communicating your product roadmap to stakeholders and customers is critical to gaining alignment and buy-in. Sharing it and receiving feedback will uncover questions and concerns to address.

The project leader must explain how it supports the overall vision and company strategy. They should then be willing to adapt the roadmap based on feedback to ensure support. This is a critical step for the success of a product, which is why it’s important to take the time to listen to needs and build consensus.

Track Progress and Re-Align

Once your product vision roadmap is in place, you must monitor key performance indicators to ensure it stays on track. Regularly revisiting your roadmap and vision will enable you to optimize your roadmap and achieve the best outcomes.

Some KPIs to track a product roadmap’s progress include:

  • Customer adoption and retention rates
  • Revenue and profitability
  • Customer satisfaction scores
  • Feature usage metrics
  • Market share
  • Product quality metrics

Tracking these metrics will ensure your roadmap is achieving key business and customer objectives.

Defining your product vision and strategy, mapping your product roadmap, gaining alignment and buy-in and tracking progress and re-aligning are key steps in this process. By following these steps and leveraging the resources available, you can create a clear roadmap.

READ MORE: Org Chart Planning: Aligning with Growth Strategy


The BluWave-grade Business Builders’ Network is full of experts with a proven track record executing product vision roadmaps.

Connect with our research and operations team to set up a scoping call and get matched with two or three best-fit resources in less than 24 hours.