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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.

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Ignoring data lifecycle management is putting your business at risk

CIO Business Intelligence

This approach allows enterprises to streamline processes, gather data for specific purposes, get better insights from data in a secure environment, and efficiently share it. 1 A clear picture of where data lives and how it moves enables enterprises to consistently protect this data and its privacy.

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Database vs. Data Warehouse: What’s the Difference?

Jet Global

Whether the reporting is being done by an end user, a data science team, or an AI algorithm, the future of your business depends on your ability to use data to drive better quality for your customers at a lower cost. All About That (Data)Base. Enter the Warehouse. Enhancing a Data Warehouse with Cubes.

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The Benefits, Challenges and Risks of Predictive Analytics for Your Application

Jet Global

But we’re also seeing its use expand in other industries, like Financial Services applications for credit risk assessment or Human Resources applications to identify employee trends. Analysts can use predictive analytics to foresee if a change will help them reduce risks, improve operations, and/or increase revenue.

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Accenture’s Smart Data Transition Toolkit Now Available for Cloudera Data Platform

Cloudera

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

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Getinge’s digital transformation shows scaling and adapting in equal measure

CIO Business Intelligence

In the future, there are opportunities to make information even more easily accessible by allowing users to search for information directly from a data warehouse instead of going through traditional BI tools. Even though Getinge is in an early stage, pressure from management to adopt emerging technologies is high.

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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

2) BI Strategy Benefits. Over the past 5 years, big data and BI became more than just data science buzzwords. In response to this increasing need for data analytics, business intelligence software has flooded the market. The costs of not implementing it are more damaging, especially in the long term.