Thinklytics

Case Studies

Real analytics and AI consulting outcomes across healthcare, financial services, manufacturing, education, and government. See what changed when we shipped it.

Data engineering and lakehouse: 31 engagements

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.