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A guide to efficient Oracle implementation

IBM Big Data Hub

Migrating to Oracle requires thorough planning whether a business intends to adopt the platform for the management of a single process—such as finance or human resources—or migrate the entire organization’s operations into the cloud. Data quality: Ensure migrated data is clean, correct and current.

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Showcasing the Power of AI in Investment Management: a Real Estate Case Study

DataRobot Blog

In this context, an augmented intelligence approach around the data will be increasingly more critical for asset managers, investors, and real estate developers to ensure a better understanding of the real estate assets and take better decisions aimed at optimizing both the Net Asset Value and the Net Operating Income.

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The Third Pillar of Data Culture: Data Governance

Alation

However it’s defined, data governance is among the hottest topics in data management. Organizations don’t need to spend a lot of money to get data governance. They can improve data quality, security and risk management without the need for an expensive big-bang project.

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

Andrew White

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer?