Case Studies

Selected client outcomes

• We consolidated 14 regional patient encounter definitions into one standard in 11 weeks, cutting reconciliation labor costs by $2.1 million. , Kaiser Permanente, Healthcare
• We recovered $4.8M a year in misrouted claims by lifting member match accuracy from 75 to 94 of every 100 records, restarting three stalled ML pilots. , Express Scripts, Healthcare
• Migrated 140 Crystal Reports to Power BI in 20 weeks, cutting report time from 4 hours to 8 minutes and saving $1.1M per year in licensing costs. , Ascension Health System, Healthcare
• We gave 340 clinical staff direct access to analytics, cutting ad-hoc report requests from 120 to 14 per week and saving $890K in analyst labor annually. , Community Health Network, Healthcare
• We improved patient data quality from 58 to 91 in 12 weeks, enabling a $3.2M population health management platform to move forward. , St. David's Medical Center, Healthcare
• Cut prior authorization review from 4.2 days to 6 hours, handling 18,000 more cases monthly without adding staff. , BlueCross BlueShield Affiliate, Healthcare
• We retired 4,380 Tableau workbooks, cut server response time from 47 to 9 seconds, and avoided $6.2M in migration costs. , AT&T, Technology
• We identified inconsistencies across six revenue metrics and created one certified ARR definition, resolving a $1.4M reporting gap between finance and sales. , Enterprise SaaS Company, Technology

Real case studies from Thinklytics data analytics consulting. See how we deliver BI, data governance, and AI solutions for mid-market clients.

Real-world results from Thinklytics data and analytics consulting engagements.

None of them did. Here is what they actually needed, and what changed when we shipped it.

This library covers engagements across healthcare, financial services, manufacturing, higher education, government, insurance, SaaS, retail, and energy. Most of them started the same way: someone asked for a better dashboard, a faster report, or an AI pilot, and the thing standing in the way turned out to be the data underneath.

Each one is written the same way, so you can compare them. The challenge is the state we found, in the client's words where we can quote them. The approach is what we actually did, including the parts that did not work first time. The outcome carries a measured number, not an impression, and where a client agreed to be quoted, their words sit next to it.

A few of these end with us recommending that the client not buy anything. Those are included on purpose. We have talked organizations out of more than $6M in platform migrations that would not have fixed the problem they were hired to fix, and that advice is worth as much as the builds. Filter by industry or practice below, or read the ones with numbers closest to the size of your environment.

The 30-day Analytics Truth Audit will tell you where you stand.