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Top 20 Analytics Case Studies

Cem Dilmegani
Cem Dilmegani
updated on Sep 3, 2025

Although the potential of Big Data and business intelligence are recognized by organizations, Gartner analyst Nick Heudecker says that the failure rate of analytics projects is close to 85%. Uncovering the power of analytics improves business operations, reduces costs, enhances decision-making, and enables the launching of more personalized products.

How to measure analytics success?

According to the Gartner CDO Survey, the top 3 critical success factors of analytics projects are:

  • Creation of a data-driven culture within the organization,
  • Data integration and data skills training across the organization,
  • And the implementation of a data management and analytics strategy.

The success of the process of analytics depends on asking the right question. It requires understanding the appropriate data needed for each goal to be achieved. We’ve listed 20 successful analytics applications/case studies from different industries.

During our research, we examined that partnering with an analytics consultant helps organizations boost their success if organizations’ tech team lacks certain data skills.

What are some analytics case studies?

Enterprise
Industry of End User
Business Function
Type of Analytics
Description
Results
Analytics Vendor or Consultant
Fitbit
Health/ Fitness
Consumer Products
IoT Analytics
Fitbit devices collects data users' activity and eating habits. In return, it creates dashboards that users can track through mobile apps.
Better lifestyle choices for users.
Bernard Marr&Co.
Dominos
Food
Marketing
Marketing Analytics
Analyzing users’ cross-channel & cross-device behaviour and also connect online and offline behaviour.
Increased monthly revenue by 6%.
Reduced ad spending cost by 80% y-o-y.
Google Analytics 360 and DBI
Brian Gravin Diamond
Luxury/ Jewelry
Sales
Sales Analytics
Improving their online sales by understanding user pre-purchase behaviour.
New line of designs in the website contributed to 6% boost in sales.
60% increase in checkout to the payment page.
Google Analytics
Enhanced Ecommerce
N/A
Marketing Automation
Marketing
Marketing Analytics
Collecting data of costumers and creating detailed audience segments based on product interest and demographic data.
Conversions improved by the rate of 10x.
Google Analytics and Marketo
Build.com
Home Improvement Retail
Sales
Retail Analytics
Providing dynamic online pricing analysis and intelligence.
Increased sales,
Better, faster pricing decisions.
Numerator Pricing Intel and Numerator
Ace Hardware
Hardware Retail
Sales
Pricing Analytics
Using pricing intelligence to collect competitive pricing information for exact and 'like' products on a regional basis.
Increased exact and ‘like’ matches by 200% across regional markets.
Numerator Pricing Intel and Numerator
SHOP.COM
Online Comparison in Retail
Supply Chain
Retail Analytics
increased supply chain and onboarding process efficiencies.
57% growth in drop ship orders,
$89K customer serving support savings
Improved customer loyalty.
SPS Commerce Analytics and SPS Commerce
Bayer Crop Science
Agriculture
Operations
Edge Analytics/IoT Analytics
Using edge analytics tools to do anomaly detection and predictive maintenance and to collect data from the field in real time.
Faster decision making to help farmers optimize growing conditions.
AWS IoT Analytics
AWS Greengrass
Farmers Edge
Agriculture
Operations
Edge Analytics
Collecting data from edge in real-time.
Better farm management decisions that maximize productivity and profitability.
Microsoft Azure IoT Edge
Lufthansa
Transportation
Operations
Augmented Analytics/Self-service reporting
A uniform, standardized, group-wise self-service business intelligence solution that had easily accessed data from multiple sources, prepared it quickly and created reports instantly.
Increase in the company’s efficiency by 30% as data preparation and report generation time has reduced.

Tableau

For more on analytics

If your organization is willing to implement an analytics solution but doesn’t know where to start, here are some of the articles we’ve written before that can help you learn more:

Finally, if you believe that your business would benefit from adopting an analytics solution, we have data-driven lists of vendors on our analytics hub and analytics platforms.

We will help you choose the best solution tailored to your needs:

Find the Right Vendors
Principal Analyst
Cem Dilmegani
Cem Dilmegani
Principal Analyst
Cem has been the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per similarWeb) including 55% of Fortune 500 every month.

Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE and NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and resources that referenced AIMultiple.

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised enterprises on their technology decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.
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Researched by
Özge Aykaç
Özge Aykaç
Industry Analyst
Özge is an industry analyst at AIMultiple focused on data loss prevention, device control and data classification.
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We follow ethical norms & our process for objectivity. This research is not funded by any sponsors.