Business Objectives Data Quality Metrics Risk Management 
FineReport
APRIL 9, 2024
Financial Services Optimization : In the financial services sector, a major institution leveraged a sophisticated BI platform to analyze market trends, customer behavior, and risk management strategies. This framework ensures that data remains accurate, consistent, and secure across all levels of the organization.
DataRobot Blog
MAY 26, 2022
What are some steps that the modeler/validator must take to evaluate the model and ensure that it is a strong fit for its design objectives? Evaluating ML models for their conceptual soundness requires the validator to assess the quality of the model design and ensure it is fit for its business objective.
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datapine
FEBRUARY 22, 2022
Improved risk management: Another great benefit from implementing a strategy for BI is risk management. Clean data in, clean analytics out. Cleaning your data may not be quite as simple, but it will ensure the success of your BI. Indeed, every year low-quality data is estimated to cost over $9.7
Alation
NOVEMBER 23, 2021
Detach the governance system from systems used to consume data, thereby decreasing its operational relevance. End up spinning out big-bang projects that too often spiral out of control and fail to deliver on business objectives. Organizations don’t need to spend a lot of money to get data governance.
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