'Eliminating Difference Between Business Intelligence analysts, Data Analysts or Data Scientists 🚀' by kuwala_io datascience businessintelligence
There was a time when the data analyst on the team was the person who listened intently to a manager's business hypotheses.data is searched in Excel sheets, queried via email, or queried with SQL. The Data Analyst sets out to find answers by exploring the data for weak signals. One by one, a PowerPoint fills up with graphs and action titles to steer decisions or define a business strategy.
But technological advancements quickly overtook the role of the Data Analyst. A company wants to go faster, bigger and better. Data and consequently Data infrastructure is growing and so are the demands on technical skills: DevOps, DataOps, ML Engineer, Data Engineer, and Full Stack Data Scientist.In the worst-case scenario, the Business Analyst becomes the second-class data citizen in the enterprise.
We need a new understanding of a BI analyst to get back to old strengths. BI Analysts need to be able to build pipelines, test metrics, and visualizations quickly and iteratively despite the Modern Data Stack. The BI Analyst should spend more time on analysis than on fixing dashboard problems. We need an intermediate layer...... that integrates with modern data stack.You might know Matti and me.
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