Case Studies
Real analytics and AI consulting outcomes across healthcare, financial services, manufacturing, education, and government. See what changed when we shipped it.
Cost optimization: 9 engagements
- 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 retired 4,380 Tableau workbooks, cut server response time from 47 to 9 seconds, and avoided $6.2M in migration costs. , AT&T, Technology & SaaS
- We replaced nine outdated reporting systems with a single platform, reducing infrastructure costs by $3.1 million annually and cutting the monthly close process from 18 days to 3.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 & SaaS
- 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 & SaaS
- 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 cut 220 store reports down to 14 certified dashboards, saving $890K a year. , Regional Grocery Chain, Retail & E-Commerce
- 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 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
Where the work sat
Work by capability
Sixty-four engagements, each recorded with the question it existed to answer, the situation it arrived in, and what the work produced. Filter by stage, industry or question type.
Sixty-four engagements and the question each one was answering.
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Every entry records the question the work existed to answer, the situation it arrived in, the roadmap that answered it, and what that produced. Filter by the stage the work sat in, by industry, or by the kind of question.
A question rarely turns into one kind of work, and the stage an engagement started in is usually not the stage the client expected it to. Select one to narrow the library.
Build is the largest of these because it is where clients arrive. Seven of sixty-four started at Assess, and every one of those seven cost less than the engagement the client came in asking for.
That ratio is the thing the first movement exists to change.
If one of those engagements reads like the situation you are in right now,
An hour, no charge, usually enough to say whether the thing you are about to commission is the thing you need.