How To Compare Business Intelligence Software

In recent years, there is no business discipline that has moved to the forefront of the business community’s collective consciousness more than business intelligence. 

The following chart illustrates Google search interest in “business intelligence” topics over the past 5 years.

How the Modern Data Warehouse Supports Buy-and-Build in Private Equity

With consistently increasing deal multiples across markets, the opportunity to acquire bolt-on companies in pursuit of multiple-arbitrage has made buy-and-build strategies more popular than ever.

In their 2019 Global Private Equity Report, Bain confirms “Buy-and-build can offer a clear path to value at a time when deal multiples are at record levels and GPs are under heavy pressure to find strategies that don’t rely on traditional tailwinds like falling interest rates and stable GDP growth.”

Power BI Dashboard Case Studies for Private Equity Companies

Business intelligence is one of the hottest topics among industry leaders. Private equity firms are no exception. However, through our exposure to hundreds of companies, precious few have shown up having successfully rationalized their data assets into a functioning toolset capable of accelerating growth. 

Even the smallest companies produce a significant amount of data that represents untapped value. So why don’t more companies exploit the resource?

What Is Business Intelligence for Private Equity?

If you believe better data is one of the top drivers of growth, you are not alone.

"According to a 2019 survey, Fortune 1000 companies are now recognizing that they must become more adept at leveraging their data assets if they are to compete successfully against highly agile data-driven competitors." - MIT Sloan Management Review

In the quest for differentiation among buy-and-build PE firms, everyone seems to be pointing to data as the next business alchemy.

The terms Big Data, Machine Learning, and Artificial Intelligence are bandied about at workshops and industry events as though they’re well-understood and commonly applied. 

They’re not.

For Mid-Market Private Equity, Data Intelligence Impacts Valuation - AVOID These Two Mistakes

"If you want to motivate employees, stop following your instincts and adopt a data-driven approach." - Harvard Business Review

Data is trending, and while private equity deal teams increasingly give lip service to the importance of data-driven operations, their tactics often miss the mark.  Of the hundreds of companies we've consulted for, nearly all default to Excel spreadsheets, PowerPoints, and PDFs to promote data intelligence.  

For Mid-Market Private Equity, Align Deal Teams and Executive Teams with Company Scorecards

"Transparency is not just a buzzword; it may be a necessity for business survival in the 21st century." - Glassdoor

Successful execution is what matters most, even if the model has been around for decades. Airbnb wasn’t the first clearinghouse for C2C home rentals, but its execution was unprecedented.  Excite, Yahoo, and Ask Jeeves came first, but none delivered as successfully as Google.

For Mid-Market Private Equity, Data Intelligence is THE Critical Path to Growth

“If you want to improve the quality of performance in any area, improve or increase the frequency of the feedback.” — Charles Coonradt, The Game of Work

For many private equity firms, managing a portfolio of companies can feel more like controlled chaos than strategic execution. Rather than spending time on key partnerships, hires, and acquisitions, deal teams are often consumed chasing down performance data in an effort to understand what's happening on the ground. Why? Because manually harnessing data is often a herculean task that interferes with daily operations.

For Private Equity, Data Chaos = Value Depletion

Middle market private equity firms share a common denominator: their portfolio companies rely on a menagerie of software platforms to manage finances, sales, locations, product lines, services categories, ad nauseum. 

Business Intelligence Software: A Quick Comparison

As Business Intelligence” (i.e., data analytics and dashboards) plays an ever-increasing role in day-to-day business, the systems for harnessing your data are increasingly accessible. Data collection is no longer the most challenging piece of the data puzzle – separating signal from noise, and communicating insights that trigger better decisions and increase focus is where the real value lies.  Unless your dashboards “touch a nerve,” compelling users to adopt BI as part of their daily routine, your investment will go to waste.  And according to Gartner, that goal can be elusive, with over 60% of BI initiatives failing to meet the goals of the business. 

5 Ways Leading Manufacturers are Putting Their Data to Work

Complex logistics, multiple data sources, tight order-to-cash timelines . . . for virtually every manufacturer, these stressors constantly plague production and profitability. Managers are bombarded daily with issues that demand prioritization and agile adjustments. To meet that demand, managers must wrangle data from disparate sources, with limited resources and little margin for error.