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Turn Data Into Business Intelligence With a Modern Data Platform

CDW Research Hub

Building a modern data platform begins with having a solid data governance and data security foundation, and a strategic roadmap to modernize successfully. Another critical step is to create a framework to integrate your data. It is also important to consider how you get data into the hands of your citizen users.

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Top 10 Metadata Management Influencers, Sites, and Blogs You Must Follow in 2021

Octopai

Without organized metadata management, the validity of a company’s data is compromised and they won’t achieve adequate compliance, data governance, or generate correct insights. Strong metadata management enhances business intelligence which leads to more informed strategy and better performance. Donna Burbank.

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What is BCBS 239 Compliance?

Octopai

Metadata Management is the Key to Successful Data Governance Learn more in the webinar, "Metadata Management Automation for the Governance Minded" Watch the Webinar! – Guarantees completeness when it can be discovered and cataloged across the entire data landscape. BCBS 239 and Automated Metadata Management Tools.

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Breaking State and Local Data Silos with Modern Data Architectures

Cloudera

For state and local agencies, data silos create compounding problems: Inaccessible or hard-to-access data creates barriers to data-driven decision making. Legacy data sharing involves proliferating copies of data, creating data management, and security challenges. Forrester ).

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Healthcare organizations must create a strong data foundation to fully benefit from generative AI

CIO Business Intelligence

A healthcare payer or provider must establish a data strategy to define its vision, goals, and roadmap for the organization to manage its data. Next is governance; the rules, policies, and processes to ensure data quality and integrity. Learn more about how EXL can put generative AI to work for your business here.

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Ignoring data lifecycle management is putting your business at risk

CIO Business Intelligence

Modern data platforms can stop enterprises from drowning in a sea of data by integrating AI and ML to enable more efficient, accessible data. It is imperative to keep up with continually changing data management requirements, security policies, and compliance.

Risk 74
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A Day in the Life of a DataOps Engineer

DataKitchen

Based on business rules, additional data quality tests check the dimensional model after the ETL job completes. While implementing a DataOps solution, we make sure that the pipeline has enough automated tests to ensure data quality and reduce the fear of failure. Adding Tests to Reduce Stress. About the Author.

Testing 152