5 Real Examples Of Business Intelligence In Action

Written By Alla Levin
April 20, 2020

Real Examples of Business Intelligence In Action

Examples of Business Intelligence. Business intelligence (BI) software has become one of the most important technologies in today’s business medium.

Today, BI tools have evolved greatly to help companies make the most of their data investments. But what is business intelligence and what are the real examples, you might ask?

BI adds value to business processes through establishing metrics, compiling data, and visualizing results, this results in a faster and better business decision-making process.

As a result, there is an increased use of business intelligence platforms by companies to make most of their data resources.

For those looking for insight before committing to a tool, here is a compilation of 5 real-world examples of business intelligence platforms at work.

Examples of Business Intelligence

HelloFresh centralized digital marketing reporting to increase conversions

Developed by Hellofresh Company, the tool focus on transforming digital marketing reporting, which was initially time-consuming, manual, and inefficient.

The tool is reported to have saved the marketing analytics marketing analytic steam from 10-20 working a day through digital reporting automation.

It facilitated large marketing teams to design regional, individualized digital marketing campaigns.

The tool created their buyer persona, and the teams could react to customers’ behaviors hence optimizing their marketing campaigns.

Resultantly, there was increased conversion rates as well as higher customer retention.

Des Moines Public Schools identifies and helps at-risk students

Des Moines Public Schools is an organization focused on thwarting school dropouts and on determining the impact of various teaching methods and their outcomes.

The DMPS Research and Data Management team developed a dropout out coefficient, a multiple linear regression model that could predict the students most likely to drop out.

The model which used BI integration made it easy for staff to identify at-risk students, therefore, giving them the earliest attention possible.

It features a dashboard that delivered real-time analytics to 7,000 DMPS teachers and staff for prompt interventions.

This dramatically improved intervention success rates.

Coca-Cola Bottling Company maximized operational efficiency

Coca-Cola Bottling Company (CCBC) BI platform addressed the challenge of manual reporting processes, which strained real-time access to sales and operations.

The team used the BI platform to automate the reporting processes, consequently saving over 260 hours a year.

Systems integrations put customer relationship management (CRM) data back into the hands of sales personnel on the ground. This gives timely, actionable information and hence a competitive advantage.

This self-service BI platform offers increased collaboration between IT and business users for increased expertise of participants.

Chipotle created a unified view of restaurant operations

Chipotle Company focused on alleviating the problem of disparate data sources, which challenged a unified view of restaurants.

Chipotle Mexican Grill, an American restaurant chain featuring over 2,400 branches worldwide. The team invented a modern, self-service BI platform whereby they could get a unified view of operations,and could track the operations of the entire chain of their restaurants.

Teams had more access to data, speedy delivery of reports, and this saved thousands of hours.

According to Zach Sippl, Director of Business Intelligence, the platform took all metrics and understanding to a whole new level.

REI increased membership rates for co-op retailer

This tool was developed by REI to tackle the difficulty of tracking membership metrics with 90 TB data.

Using this business intelligence platform, Outdoor retail co-op REI could analyze their co-op membership stats such as acquisition, retention, and reactivation.

This information equates to 90 terabytes data, and parsing all the data means that teams decide on either the brick-and-mortar retail or digital experiences for their members.

As a result, there is greater customer satisfaction and loyalty to the brand.

With the help of the platform, the team can also analyze their customer segmentation for better decisions for member lifecycle management, product category assortments, and shipping methods.

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