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5 Data Governance Mistakes to Avoid

Alation

That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it. 5 common data governance mistakes 1.

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The top 15 big data and data analytics certifications

CIO Business Intelligence

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

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5 Data Governance Mistakes to Avoid

Alation

That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it. 5 common data governance mistakes 1.

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Optimizing the Energy Sector with Data Analytics

Cloudera

Going into more technological aspects, the data platforms that must support this decision-making must be able to operate in a hybrid environment in which there is integration with the applications that reside in the company’s own data centers, as well as the possibility of working in public cloud environments. .

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Gartner Data & Analytics Summit 2022 in London: 3 Key Takeaways

Alation

Luckily, data fabric and data mesh work in perfect harmony, and together go a long way toward automating data governance in the enterprise. Data Governance. On the topic of data governance, Gartner did not mince words: Traditional data governance has failed the average business.

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

CIO Business Intelligence

Payers and providers will need to create a data foundation that addresses elements such as bringing in the right data, how to classify it, and how to create a data lineage so data sources can be tracked to address potential AI hallucinations. This is the overarching guidance that drives digital transformation.

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The Madness of Data (and analytics) Governance

Andrew White

The outline of the call went as follows: I was taking to a central state agency who was organizing a data governance initiative (in their words) across three other state agencies. All four agencies had reported an independent but identical experience with data governance in the past. Information (processed data).