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Data’s dark secret: Why poor quality cripples AI and growth

CIO Business Intelligence

I aim to outline pragmatic strategies to elevate data quality into an enterprise-wide capability. Key recommendations include investing in AI-powered cleansing tools and adopting federated governance models that empower domains while ensuring enterprise alignment. Inconsistent business definitions are equally problematic.

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Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

In essence, these processes are divided into smaller sections but have the same goal: to help companies, small businesses and large enterprises alike, adapt quickly to business goals and ever-changing market circumstances. It allows you to easily publish reports: the whole point of agile is to get the product out there.

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Announcing the 2020 Data Impact Award Winners

Cloudera

In fact, each of the 29 finalists represented organizations running cutting-edge use cases that showcase a winning enterprise data cloud strategy. We are delighted to officially publish this year’s Data Impact Award winners. Data for Enterprise AI. Enterprise Data Cloud. Data Impact Achievement Award.

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How healthcare organizations can analyze and create insights using price transparency data

AWS Big Data

Under the Transparency in Coverage (TCR) rule , hospitals and payors to publish their pricing data in a machine-readable format. AWS Glue is a serverless data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, ML, and application development.

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Challenges in replacing SSRS with Microsoft Power BI

BizAcuity

There are several reporting tools and platforms available today, and enterprises usually choose the one that is best suited for their business needs. It helps in transforming enterprise data into rich visuals. This causes a fundamental difference in the way data is stored or published. SSRS and Microsoft Power BI.

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How Indian CIOs are staying ahead of changing demand for skills

CIO Business Intelligence

With competition for skilled IT workers getting tighter, it’s more important than ever for enterprises to be sure they’re spending on recruiting and retaining the right talent. This happens through reports like those published by the Reserve Bank of India, industry consulting majors, and technology papers among others,” he told CIO.com.

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Change The Way You Do ML With Applied ML Prototypes

Cloudera

Today’s enterprise data science teams have one of the most challenging, yet most important roles to play in your business’s ML strategy. In our current landscape, businesses that have adopted a successful ML strategy are outperforming their competitors by over 9%. The implications of ML on the future of business are clear.