Remove Business Objectives Remove Data Processing Remove Data Quality Remove Metrics
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How to build a successful AI strategy

IBM Big Data Hub

An AI strategy allows organizations to purposefully harness AI capabilities and align AI initiatives with overall business objectives. Define clear objectives What problems does the organization need to solve? What metrics need to be improved? Interview department heads to identify potential issues AI could help solve.

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Accelerate Your Business Performance With Modern IT Reports

datapine

But in this digital age, dynamic modern IT reports created with a state-of-the-art online reporting tool are here to help you provide viable answers to a host of burning departmental questions. The purpose is not to track every statistic possible, as you risk being drowned in data and losing focus.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

In 2022, AWS commissioned a study conducted by the American Productivity and Quality Center (APQC) to quantify the Business Value of Customer 360. The following figure shows some of the metrics derived from the study. Poor data quality can lead to such situations, and ultimately results in customer churn.

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Automating Model Risk Compliance: Model Validation

DataRobot Blog

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. Figure 4: DataRobot provides an interactive ROC curve specifying relevant model performance metrics on the bottom right. Conceptual Soundness of the Model.

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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

Clean data in, clean analytics out. Cleaning your data may not be quite as simple, but it will ensure the success of your BI. It is crucial to guarantee solid data quality management , as it will help you maintain the cleanest data possible for better operational activities and decision-making made relying on that data.

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The Third Pillar of Data Culture: Data Governance

Alation

However it’s defined, data governance is among the hottest topics in data management. 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.