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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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3 things to get right with data management for gen AI projects

CIO Business Intelligence

Data management, when done poorly, results in both diminished returns and extra costs. Hallucinations, for example, which are caused by bad data, take a lot of extra time and money to fix — and they turn users off from the tools. For us, it’s all part of data governance.

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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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Data migration to Snowflake, a comprehensive primer

Octopai

Data migration can be a daunting task, especially when dealing with large volumes of data. Snowflake is one of the leading cloud-based data warehouse that provides scalability, flexibility, and ease of use. Snowflake data warehouse platform has been designed to leverage the power of modern-day cloud computing technology.

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Data Governance and Metadata Management: You Can’t Have One Without the Other

erwin

Therefore, most enterprises have encountered difficulty trying to master data governance and metadata management, but they need a solid data infrastructure on which to build their applications and initiatives. Data Governance Attitudes Are Shifting. The Benefits of Automating Data Governance and Metadata Management Processes.

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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 Data Won’t Speak Unless You Ask It The Right Data Analysis Questions

datapine

By asking the right questions, utilizing sales analytics software that will enable you to mine, manipulate and manage voluminous sets of data, generating insights will become much easier. Before starting any business venture, you need to make the most crucial step: prepare your data for any type of serious analysis.

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