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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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How a cloud-first enterprise application strategy boosts speed and scale for your business

CIO Business Intelligence

Against a backdrop of disruptive global events and fast-moving technology change, a cloud-first approach to enterprise applications is increasingly critical. A cloud-first approach provides benefits to all organizations, whether their employees are spread disparately or working in one location,” Iyengar says.

Strategy 137
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CIOs rethink all-in cloud strategies

CIO Business Intelligence

The resulting infrastructure of choice — a combination of on-premises and hybrid-cloud platforms — will aim to reduce cost overruns, contain cloud chaos, and ensure adequate funding for generative AI projects. Such decisions are largely driven by the need to maximize performance and business benefits while not losing track of costs.”

Strategy 144
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Microsoft’s latest OpenAI investment opens way to new enterprise services

CIO Business Intelligence

A move that is likely to unlock similar investments from competitors — Google in particular — and open the way for new or improved software tools for enterprises large and small. Microsoft stands to benefit from its investment in three ways. The deal, announced by OpenAI and Microsoft on Jan.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications. Did you know?

Big Data 275
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Advantages of Using Microsoft Azure for Data Preservation and Security

Smart Data Collective

Data security and data collection are both much more important than ever. Every organization needs to invest in the right big data tools to make sure that they collect the right data and protect it from cybercriminals. One tool that many data-driven organizations have started using is Microsoft Azure.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 2: Cloud Adoption

BizAcuity

Benefits of Cloud Adoption. Quick recap from the previous blog- The cloud is better than on-premises solutions for the following reasons: Cost cutting: Renting and sharing resources instead of building on your own. IaaS provides a platform for compute, data storage and networking capabilities. Starting with cloud adoption.