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Sisense > Case Studies > Known Factors Uses Sisense Embedded Analytics to Make Their Own Services ‘Easier to Sell’
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Known Factors Uses Sisense Embedded Analytics to Make Their Own Services ‘Easier to Sell’

Technology Category
  • Analytics & Modeling - Big Data Analytics
  • Analytics & Modeling - Predictive Analytics
  • Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
  • Automotive
  • E-Commerce
  • Healthcare & Hospitals
Applicable Functions
  • Business Operation
  • Sales & Marketing
Services
  • Data Science Services
  • Software Design & Engineering Services
  • System Integration
The Challenge
Many companies today often have data that is so complex or distributed, it needs a dedicated team of specialists to clean and maintain it, and only then can a BI tool be useful. There’s a lot of work preparing complicated and dirty data, and many businesses need a simple way to prepare data that most BI tools on the market cannot provide. Mike saw that even after implementing a BI solution for customers. There was often such a steep learning curve, the customer would still be unable to build reports and dashboards independently. Mike’s customers typically come to him after they've failed with another BI solution. His company then takes on managing the client's internal data, some of which as been around for 10+ years, and is big, disparate, and dirty. His team would then wrangle the data together into a BI solution for the client. Mike saw that even after implementing a BI solution for customers, it often had such a steep learning curve, the customer would still be unable to build reports and dashboards independently. It was important that his customers could be self-sufficient, so he wanted to standardize on a tool that he knew would be a win for them.
About The Customer
Known Factors provides business intelligence services and solutions for a variety of industries including real estate, travel, automotive, e-commerce, healthcare, and political campaigns. Most of their clients come to them after they have failed to implement a BI solution themselves. Their data is usually complex and distributed, requiring significant efforts to prepare the data that most BI tools cannot provide. As a data warehouse and BI expert, Mike van Thiel, CEO and co-founder, was even having issues with the steep learning curve of the BI solutions he looked at prior to Sisense. Once Sisense was deployed, it was a much easier sell to clients, which greatly improved Known Factors bottom line.
The Solution
After evaluating and using different top-tier BI tools, Mike was still left without a solution. He's a very technical guy and the effort to produce a single report with any of the other tools was too extreme. When he tried Sisense’s trial, he was pleasantly surprised as he was able to build meaningful dashboards without investing any time in learning how to use Sisense beforehand. It was obvious that this was exactly what his customers needed. Known Factors is using Sisense in their political vertical to help candidates win elections based on data. They created a data warehouse based on parameters such as voter attributes, election results, campaign finance, and political history. Sisense dashboards and reports are used to deliver an easily operated statistical analysis of a voting district. “When someone runs for office, whether it is for governor or city council, they basically have to start a little business,” Mike explained. However, they don’t want to spend hundreds of thousands of dollars on a 3-6 month campaign. Known Factors provides a service where users (strictly political figures running for office) gain access to these comprehensive political dashboards and reports, and then help them analyze this data in order to glean meaningful insights.
Operational Impact
  • Sisense was the solution that Mike needed, both for their internal data, and to be an effective BI solution provider.
  • Because of the ease of use and inherent ETL capability, Known Factors can now easily combine multiple data sources, ranging from internal data applications to external data like Google Analytics, CRM, credit card processors, financial systems, and massive amounts of public data.
  • This has allowed them to more easily acquire clients and to become even more specialized in niche vertical markets.

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