Remove 4-considerations-when-building-your-government-data-strategy
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4 Considerations When Building Your Government Data Strategy

Cloudera

If you’ve followed Cloudera for a while, you know we’ve long been singing the praises—or harping on the importance, depending on perspective—of a solid, standalone enterprise data strategy. The ways data strategies are implemented, the resulting outcomes and the lessons learned along the way provide important guardrails.

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The data flywheel: A better way to think about your data strategy

CIO Business Intelligence

This article was co-authored by Duke Dyksterhouse , an Associate at Metis Strategy. Data & Analytics is delivering on its promise. Some are our clients—and more of them are asking our help with their data strategy. Some are our clients—and more of them are asking our help with their data strategy.

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4 Steps to Data-first Modernization

CIO Business Intelligence

Launching a data-first transformation means more than simply putting new hardware, software, and services into operation. True transformation can emerge only when an organization learns how to optimally acquire and act on data and use that data to architect new processes. Key features of data-first leaders.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

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7 IT governance mistakes — and how to avoid them

CIO Business Intelligence

Everybody makes mistakes, but when a CIO messes up, the consequences can be devastating to the instigator, as well as the entire IT department and enterprise. Good governance should delegate and empower individuals to deliver to defined outcomes that support organizational direction.”.

IT 107
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BWH Hotels scales enterprise business intelligence adoption while reducing costs with Amazon QuickSight

AWS Big Data

In this post, I discuss how we are using QuickSight today, how it helped us through the pandemic and how we are using it to build the future of our business. Migrating to AWS and QuickSight After a six-month proof of concept, we decided to move fully to AWS for our data and analytics needs.

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How Amazon optimized its high-volume financial reconciliation process with Amazon EMR for higher scalability and performance

AWS Big Data

When discrepancies are found, accountants investigate and take appropriate corrective action. It’s not always possible to fit data onto a single machine or process it with one single program in a reasonable time frame. We processed the data sequentially using Python.