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Brave Thinking Institute: twenty years of data brought into one place
Brave Thinking Institute is a training organisation in transformational coaching, working with people around the world. Over more than twenty years it had accumulated customer data from many sources, internal sales and marketing applications, and the enterprise systems it runs day to day. The diversity of that data was unusually high even by the standards of a long established business.
LOCATION
Los Angeles, California, United States
COMPANY SIZE
Mid-scale Enterprise
INDUSTRY
Education and Training
Data lake design, setup and operationalisation
We started with a detailed due diligence phase. That meant analysing every system the organisation runs, speaking to all the business stakeholders about what they needed and what they currently could not get, and having the technical conversations in depth before proposing anything. We came back with a written report setting out specific plans tied to the outcomes the business was after.
The build that followed brought data from more than 200 sources into a single cloud data lake. Those sources varied in volume, in type and in reliability, which is the normal condition of a business that has been operating and adding systems for two decades rather than an unusual complication. The pipelines handle the transformations, correlations and cleansing each source needs, rather than applying one approach and accepting the losses.
On that foundation we built the analytical platform the leadership team uses, which gave them visibility across the organisation that had previously required someone to assemble it manually, and the basis for scaling marketing operations on evidence rather than instinct.
More than 200 sources of varying volume, type and reliability brought into one platform.
Related solution: consolidating data across long-established businesses
An organisation that has operated for twenty years does not have a data problem so much as an archaeology problem. Systems were added when they were needed, each solved the problem in front of it, and nobody was ever asked to make them agree with one another. The same customer exists in six places under six slightly different descriptions, and the person who knew why has usually left.
ThirdEye Data starts this work with due diligence rather than with architecture. Which systems actually matter, which data is trusted by the people who use it, what the business currently cannot answer, and what it would do differently if it could. That produces a written plan before anything is built. We have done this for a coaching organisation with two decades of history, for a distributor becoming data-first, and for a nonprofit whose data carries legal weight. The engagements that go badly are the ones where somebody started building before anyone asked those questions.
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