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Why Every Data Strategy Needs a Blueprint
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Imagine this: You've finally saved enough money to build your dream home. You've found the perfect builder, You've laid out what type of flooring you want, the lighting and the countertops. The builder takes all of the details you've laid out and gets to work. When it's all finished, you walk through the front door and find rooms placed awkwardly around the house. The kitchen is upstairs, the living room is in the basement, and your master bedroom is the entire first floor. You probably wouldn't be happy, and for good reason! You probably had a dream home in mind, but your builder built something entirely different. This happens so often when companies begin to implement data analytics. They focus on Power BI vs. Tableau and Snowflake vs. MySQL or other "tools" oriented questions. They find some problems they want to throw "data" at and get to work. Often, they spend a lot of money building Frankenstein workflows and reports. A couple of years later, they realize their mistake and decide to rebuild everything. But all this could have been avoided if they had focused on building a blueprint (Enterprise Data Model) for their business and building their data solutions based on that blueprint. All the Best, Tucker
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Tucker Fischer | Axle Digital Solutions
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