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Data maturity, step 5: the transformed organization
Warning: Despite current readings, few organizations have reached the last stage of data maturity. However ambitious, this is the ultimate goal for most transforming businesses. At this stage: Machine learning is mature. Data used is clean and regularly updated. Operational teams have extensive data science skills. Earlier, employees were trained to use data for internal
Data maturity, step 4: Forecasts or predictions
In today’s digital era, businesses journey through a complex path to data maturity. This journey, vital for efficient data use, involves key steps. This article explores two essential milestones. Data Reconciliation: A Step Toward Unified Truth and Forecasts or Predictions Firstly, data reconciliation. This key step achieves the SPOT, or Single Point of Truth. How?
Data Maturity, Step 3: When Data Finally Tells Our Story
Click here to watch the webinar Step 3: When Data Finally Tells Our Story. As organizations progress in their digital transformation, data begins to tell a story to the teams. The third step of the data maturity path is marked by the expansion of analytical capabilities and the consolidation of data from different sources. To