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
• We replaced nine outdated reporting systems with a single platform, reducing infrastructure costs by $3.1 million annually and cutting the monthly close process from 18 days to 3. , Lumen Technologies Division, Technology
• Implemented a data governance framework for four product lines that cut audit prep time from six weeks to four days and prevented $1.8 million in regulatory fines. , Informatica, Technology
• Built and launched a churn prediction model in 10 weeks that flagged $2.6M in at-risk ARR and cut churn by 340 accounts in three months. , Domo Analytics, Technology
• Consolidated 14 business unit data warehouses into a federated data mesh, cutting $4.7M in annual infrastructure costs and unlocking cross-unit analytics. , Rackspace Technology, Technology
• We helped 67 school districts replace manual IPEDS reporting with one platform in 14 weeks, cutting $1.9M in yearly labor costs. , Florida Department of Education, Government
• Improved data accuracy in 12 city departments to recover $4.1M in federal grants lost to reporting errors. , City of San Antonio, Government
• We evaluated AI readiness in 8 program areas, uncovered $7.3M in automation potential, and created a detailed 24-month AI rollout plan. , Texas Health and Human Services, Government
• Implemented a data governance framework in 6 regional offices that cut FOIA response time from 34 to 8 days and stopped $1.2M in yearly compliance penalties. , U.S. Department of Transportation, Government
• We replaced 14 manual Excel reports with public health dashboards used by 180 staff, cutting $620K a year in reporting labor. , Travis County Health Department, Government
• Replaced a slow 4GB Access database with real-time Snowflake in three months, unlocking $1.4M in new slot revenue. , Jamul Casino, Gaming & Hospitality
• We implemented dynamic pricing AI on 12 properties, using real-time rate adjustments to drive $3.8M in additional revenue within the first year. , Southwest Hotel Group, Gaming & Hospitality
• We merged five property management systems into a single platform, cutting technology costs by $1.9 million a year and delivering the first-ever cross-property player analytics. , Desert Diamond Casinos, Gaming & Hospitality
• Built a data governance framework for ticketing and fan records at 8 venues, stopping $940K in yearly revenue loss caused by duplicate entries. , Live Nation Regional Division, Gaming & Hospitality
• Deployed revenue analytics on 8 vessels to uncover $2.1M in upsell opportunities and cut inventory waste by $380K annually. , Gulf Coast Cruise Line, Gaming & Hospitality
• Automated call report preparation cut compliance labor from three weeks to two days and eliminated $680K in annual costs, resulting in zero MRAs in the next exam cycle. , Frost Bank, Financial Services
• We improved policy data quality from 61 to 94, unlocking $8.4M in AI underwriting projects that were stalled. , Employers Holdings Inc., Financial Services
• We built an AI tool that 42 advisors use to profile client risk. It cut portfolio review time from 3 hours to 22 minutes and uncovered $14.2M in rebalancing opportunities. , Raymond James Affiliate, Financial Services
• We merged four core banking data systems into one platform, cutting data costs by $1.3M annually and delivering same-day member analytics. , Lone Star Credit Union, Financial Services
• We built a deal pipeline data system in 12 weeks that cut report preparation from two days to 90 minutes and saved $420K in analyst costs annually. , Stephens Inc., Financial Services
• Deployed fraud detection model that cut false positives from 576 to 86 daily, saving $2.9M a year in manual review costs. , Payrix (Worldpay), Financial Services
• We merged 11 campus data warehouses into a single system, cutting infrastructure costs by $2.3 million annually and speeding report delivery from five days to same-day. , Texas A&M University System, Higher Education
• We audited and fixed research data systems in 14 departments to secure $6.8M in federal AI research funding. , Texas Tech University System, Higher Education
• We delivered student success analytics to 220 advisors, cutting the time to identify at-risk students from three weeks to two days and helping retain 1,240 more students. , Austin Community College, Higher Education
• We implemented a university-wide data governance program that fixed four years of inconsistent enrollment and research data and automated $2.8M in federal reporting. , Baylor University, Higher Education
• We automated the financial aid disbursement process using AI, cutting processing time from 14 days to 36 hours and saving $1.7 million in annual labor costs. , University of Texas System, Higher Education
• Automated OEE tracking at 6 plants uncovered $3.7M in downtime and cut unplanned stoppages by 31 hours monthly. , Benchmark Electronics, Manufacturing
• We merged seven warehouse systems into a single platform, slashing logistics costs by $2.2 million a year and cutting order fulfillment from 3.1 days to 18 hours. , XPO Logistics Regional Division, Manufacturing
• Improved data accuracy at four plants to cut defect escapes from 21 to 4 per 1,000 units, saving $4.6M annually in warranty costs. , Flex Ltd. (Automotive Division), Manufacturing
• We met FDA traceability requirements in 14 weeks, cutting recall response from 72 to 4 hours and preventing $3.1M in fines. , Sysco Regional Distribution, Manufacturing
• We rolled out sales and service analytics to 180 field reps, directly boosting cross-sell revenue by $2.8M in year one and cutting contract renewal delays from 45 days to 6 days. , Applied Industrial Technologies, Manufacturing
• Implemented AI-driven demand forecasting for three product lines, cutting inventory costs by $1.8M yearly and slashing stockouts from 34 to 4 each quarter. , Forum Energy Technologies, Manufacturing
• Built a unified customer data system across 8 channels to drive $4.2M in personalized sales revenue. , National Specialty Retailer, Retail & E-Commerce
• AI-driven demand forecasting cut overstock by $2.8M and cut stockouts from 312 to 81 a quarter through precise inventory adjustments. , Mid-Market E-Commerce Brand, Retail & E-Commerce
• We cut 220 store reports down to 14 certified dashboards, saving $890K a year. , Regional Grocery Chain, Retail & E-Commerce
• Churn model retained $3.1M in annual loyalty revenue through targeted win-back outreach. , Specialty Apparel Retailer, Retail & E-Commerce
• We combined claims data from four outdated systems to unlock $8.4M for AI underwriting. , Regional P&C Insurer, Insurance
• Cut NAIC statutory reporting from 6 weeks to 4 days by automating processes, saving $1.1M in yearly compliance labor costs. , National Life Insurance Carrier, Insurance
• Deployed a fraud detection model that flags $6.2M in suspicious claims each year , Mid-Market P&C Carrier, Insurance
• Deployed loss ratio analytics to 42 underwriters, cutting combined ratio by 3.2 points in six months. , Regional Commercial Lines Insurer, Insurance
• We built a clinical trial data governance system that cut FDA submission prep time from 14 weeks to 3 weeks. , Mid-Size Pharmaceutical Company, Life Sciences
• Launched analytics platform 8 weeks early to optimize territories and drive $2.4M in revenue adjustments , Medical Device Company, Life Sciences
• We developed R&D portfolio analytics covering 8 programs to give the board a clear, consolidated view of pipeline value. , Clinical-Stage Biotech, Life Sciences
• We automated the pharmacovigilance data pipeline, cutting adverse event processing from 18 days to 4 hours. , Specialty Pharmaceutical Company, Life Sciences
• We deployed grid reliability analytics to 180 operations staff, cutting average restoration time by 34 minutes. , Regional Electric Utility, Energy & Utilities
• Built a reliable ESG data system that cut sustainability report prep time from 18 weeks to 3 weeks. , Investor-Owned Utility, Energy & Utilities
• We implemented AI-driven predictive maintenance on 340 compressor stations, cutting unplanned downtime and saving $1.7M a year. , Midstream Energy Company, Energy & Utilities
• Built a smart meter data system for 680,000 meters that cut demand response program costs by $3.4 million. , Municipal Electric Utility, Energy & Utilities
• Aligned ARR, NRR, and churn data across finance, product, and sales to resolve a $2.1M reporting gap for the board , Growth-Stage SaaS Platform, Technology & SaaS
• Built product analytics to track feature adoption and uncovered $1.8M in expansion revenue opportunities , B2B SaaS Company, Technology & SaaS
• Implemented a data governance framework for 4 product lines, cutting compliance audit prep time from 8 weeks to 5 days. , Enterprise SaaS Company, Technology & SaaS
• We found three stalled ML projects and mapped out clear 12-week plans to get each into production. , Mid-Market SaaS Platform, Technology & SaaS
• We cut duplicate vendor and material data and unblocked a stalled S/4HANA migration in 9 weeks, with the go-live date held. , Mid-Market Industrial Manufacturer (representative), Manufacturing
• We made inventory and customer data migration-ready in 7 weeks, before a go-live date was ever set. , Regional Wholesale Distributor (representative), Distribution & Logistics
• We made finance and supply chain master data audit-ready for S/4HANA in 12 weeks, with the first close on time. , Regional Healthcare System (representative), Healthcare
• We carried asset and reporting data through an S/4HANA migration with zero reporting blackout, in 16 weeks. , Mid-Market Energy & Utilities Company (representative), Energy & Utilities
• We rescued a stalled S/4HANA migration and brought it to a clean go-live in 5 months, with zero downtime. , Technology Hardware Company (representative), 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.

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