Remove Data Schemas Remove Data Validation Remove High Quality Data Remove Systems
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Introducing The Five Pillars Of Data Journeys

DataKitchen

Finding problems before your customers know they exist helps your team’s happiness, productivity, customer trust, and customer data success. Given the complicated distributed systems we use to get value from data and the diversity of data, we need a simplifying framework. That idea is the Data Journey.

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Implementing Data Contracts in the Data Warehouse

Monte Carlo

It can be challenging when a team is expected to take full responsibility for a key data product when there are no guarantees around the upstream data quality. Without clear management of each transformation step stretching back to source systems, teams may be unwilling to bear the responsibility of contracts.