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Introducing Agile Data Governance – Alation TrustCheck

Alation

One reason is because traditional data governance models conform to an old world of analytics that focus on controlling data access and fail to succeed in the free-flowing world of self-service reporting, BI, and analytics. How Data Catalogs Can Help. Gartner predicts that the global analytics market will grow to $22.8

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The Impact of Healthcare BI Tools on Decision-Making and Patient Care

FineReport

Challenges in Data Management Data Security and Compliance The protection of sensitive patient information and adherence to regulatory standards pose significant challenges in healthcare data management. This proactive stance safeguards against erroneous insights or decisions driven by flawed or incomplete datasets.

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Improve healthcare services through patient 360: A zero-ETL approach to enable near real-time data analytics

AWS Big Data

The solution uses AWS services such as AWS HealthLake , Amazon Redshift , Amazon Kinesis Data Streams , and AWS Lake Formation to build a 360 view of patients. With zero-ETL features for data integration on AWS, it is effortless to build a view of patients securely, cost-effectively, and with minimal effort.

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How to choose the best AI platform

IBM Big Data Hub

AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models. What types of features do AI platforms offer?

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How to Choose the Best Analytics Platform, and Empower Business-Driven Analytics

Grooper

It includes the reports, charts, dashboards, and terminology unique to your organization. ISL helps today's business leaders understand how data answers business questions. Choosing the best analytics and BI platform for solving business problems requires non-technical workers to “speak data.”. Master data management.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

Remember, it’s not about how many records were cleaned up or how many dashboards were generated, it’s about how much of an impact on the outcome the worm of D&A has that counts. What are the new trends around the Data solution architecture (centralized vs de-centralized?). But I am not sure if this is what you mean. Do you agree?