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

erwin

When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice. Data Governance Attitudes Are Shifting. Data Governance Attitudes Are Shifting.

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erwin’s Predictions for 2021: Data Relevance Shines at the End of the Tunnel

erwin

As businesses migrate from legacy systems to the cloud, data governance and data intelligence will become increasingly relevant to the C-suite and tools to automate and expedite the process will take center stage. However, that definition is too narrow in terms of AI’s relation to data governance.

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Customizing Personal Lines Insurance with Location Data

Cloudera

Insurers are increasingly adopting data from smart devices and related technologies to support and service their customers better. According to Statista , the projected installed base of IOT devices is expected to increase to 30.9 I recently attended one of Majesco’s excellent webinars hosted by Denise Garth, Chief Strategy Officer.

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The Foundations of a Modern Data-Driven Organisation: Change from Within (part 2 of 2)

Cloudera

By using Cloudera’s big data platform to harness IoT data in real-time to drive predictive maintenance and improve operational efficiency, the company has realized about US$25 million annually in new profit resulting from better efficiency of working sites. . Risk Management.

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Optimizing the Energy Sector with Data Analytics

Cloudera

This is possible thanks to the implementation of IoT solutions boosted by the introduction of communication improvements such as 5G or the future 6G technology, which will have a transmission speed of 1,000Gbp/s, compared to the 600Mbp/s of 5G. To learn more: Read how utilities lever Cloudera to manage smart meters data.

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Are Data Governance Bottlenecks Holding You Back?

erwin

Better decision-making has now topped compliance as the primary driver of data governance. However, organizations still encounter a number of bottlenecks that may hold them back from fully realizing the value of their data in producing timely and relevant business insights. Sources, like IoT. Data Governance Bottlenecks.