SaaS Business Intelligence: 6 Ways SaaS Companies Can Succeed
For fast-growing companies, compliance demands and stakeholder expectations are higher than ever. To thrive, companies need more than just good products and services—they need a deep understanding of their data.
The savviest companies are using comprehensive, data-driven business intelligence programs to gain insights, make data-driven decisions and ultimately, achieve sustainable growth. And the results are game-changing.
Here’s how business intelligence is moving the needle—and how your company can succeed too.
The Basics of SaaS Business Intelligence

At its core, all business intelligence comes down to data collection, organization, visualization and analysis. Mining, infrastructure, visualization and tools of a company all impact how data is interpreted and acted upon for results.
Business intelligence leverages advanced analytics, data integration and reporting tools to convert raw data into actionable intelligence about operations, customer behavior and market trends.
For SaaS business intelligence specifically, SaaS leaders must use this tool to consider how users interact with their data, given the complexity of information.
The Value of SaaS Business Intelligence
When SaaS companies are able to leverage business intelligence fully, it opens the door for data-driven forecasting, improved customer experiences, streamlined operations and enhanced products.
Predictive analytics capabilities are particularly helpful for SaaS companies. By applying historical data, you can better plan for the future by addressing potential problems before they arise.
SaaS business intelligence allows you to simplify complex data and transform it into actionable insights so you can make more informed decisions. Essentially, it allows SaaS companies to stay a step ahead of today’s challenges based on the analysis of the past.

Strategies To Improve Your Company’s SaaS Business Intelligence
If you’re just beginning to consider what it looks like for your SaaS business to implement business intelligence, here are six steps to set your program up for success.
Identify Key Data Sources
Your key data sources are tied to your business objectives, whether that’s improving customer experience or growing your revenue. From beta-testing feedback to financials, you need to identify which data is relevant to your goals and where to find it. The more data sources you include, the more reliable your SaaS business intelligence conclusions will be.
Clean Data
If you look closely at all the data, you may find errors. Before any of it is fed into a SaaS business intelligence platform, you’ll need to eliminate the duplicates, standardize the format, correct typos, fill in values and investigate outliers.
The quality of the data you put into your systems directly impacts the quality of insights you’ll be able to take away from it.
There are a variety of data cleaning automation tools available, though it’s worth pointing out that not all companies will want to invest in them if their data is too complex or requires domain expertise to cleanse.

Promote a Data-Driven Culture
Even the most diverse SaaS teams should be rooted in a data-driven mindset. This doesn’t mean everyone will solve problems the same way, but it does mean that your team is equipped with as much relevant data as possible and knows how to leverage it to inform decisions.
If you’re using a SaaS business intelligence platform to decide where to invest your resources, this tip is arguably the most important. To get the most out of your data-driven business intelligence efforts, you have to equip your team to be able to use this data rather than opinions.
Encourage Cross-Functional Collaboration
The different departments within your organization (sales, IT, C-Suite, etc.) function on different data and, at times, different priorities. (If the sales team is only concerned with their numbers, they can easily make promises that product owners can’t keep.)
A SaaS business intelligence platform can foster more goodwill between different groups by shining a light on how the company functions as a whole. This can boost morale, demystify different roles and help everyone relate to the product line and services in a more honest, deliberate way.
Prioritize Data Security
Because SaaS business intelligence uses your organization’s customer data to provide your company with information, it’s imperative to protect your company’s underlying platforms with security techniques like encryption, intrusion detection and vulnerability scanning. The more barriers that exist between your company’s information and criminals, the better.
It’s also important to ensure that you’re interacting with and storing your data in compliance with all regulations your company is subject to.

Hire or Train Data Experts
While a business intelligence program will provide a SaaS company with financial reports and analytical insights, it can’t take the place of trained analysts or advisors in your industry.
When you have the right person analyzing the data, your SaaS company can go even deeper into understanding not just how your customers relate to the product lines but how different stakeholders across the organization are actively helping or hurting the company objectives.
Moving Forward With Your SaaS Business Intelligence Investment
These SaaS business intelligence strategies are easier said than implemented, but it’s important to set a strong foundation if you’re going to build a strong program with helpful insights.
The benefits of improving customer experiences, enhancing products and anticipating potential obstacles can be an incredible advantage, but the basis is good data.
To learn more about SaaS business intelligence, how to get started and how it can directly impact your profit margins, connect with your Warren Averett advisor directly, or ask a member of our team to reach out to you.
