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Tag: data lineage

Business Intelligence Meets Metadata Challenges

Many BI managers, CEOs, and CIOs cannot afford to add more staff, so they are seeking technologies that can help their existing teams operate more accurately and efficiently. They “need to change the physics, as we call it. They can’t just add more people to the team,” said Amnon Drori in a recent DATAVERSITY® interview. […]

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Data Strategy Trends in 2022

What is Data Strategy? “Well, the short answer is, it’s the data chapter of your business strategy,” said John Ladley, consultant and author of the book Data Governance: How to Design, Deploy and Sustain an Effective Data Governance Program. Contrary to popular belief, the one thing it isn’t, he said, is a technology procurement plan. […]

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Overcoming the Data Decision Gap in 2022

As organizations enter a new year, leaders across industries are increasingly collecting more data to drive innovative growth strategies. Yet to move forward effectively, these organizations need greater context around their data to make accurate and streamlined decisions. A recent Data in Context research study found that more than 95% of organizations suffer from a data decision […]

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Webinar: You Can’t Have Best in Class Governance Without Best in Class Data Lineage

  To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Without a complete and accurate understanding of how data flows throughout the organization, it is extremely difficult to establish the processes and metrics necessary for a successful data governance program.  Best-in-class data lineage that provides multi-layered views […]

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Slides: You Can’t Have Best in Class Governance Without Best in Class Data Lineage

You Can’t Have Best in Class Governance Without Best in Class Data Lineage from DATAVERSITY To view the on-demand recording from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Without a complete and accurate understanding of how data flows throughout the organization, it is extremely difficult to establish the processes and metrics […]

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Stabila: A New Project For Securely Managing Information About Data Sources

The world has many different kinds of data: spatial, temporal, and spatiotemporal.The people working with this data are spread across many…

Using a Data Lake Engine to Provide Self-Service Insights

Understanding and fulfilling customer needs is the key to business success, and customer data is the foundation upon which that success is built. Accessing and analyzing data is almost always dependent on data engineers and other IT staff, while decision-makers wait to receive insights. One way to skip the wait, and deliver data directly to […]

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Data Governance Tools Support Data Management

Data Governance, and the tools supporting it, reflect the growing importance of “automated services” when dealing with the laws and regulations that have been developed to protect privacy and societal norms. Data Governance has become a necessity for organizations using the internet. It is a collection of rules, policies, and standards designed to improve Data […]

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Data Science Trends in 2022

The year 2021 was out of the ordinary as global businesses struggled to keep afloat amid the pandemic. This unusual situation accelerated digitization in businesses, which led to a surge in “digital data.” This year witnessed a record number of hires of data scientist and data analyst positions as businesses realized that data-driven market intelligence […]

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The Value of Metadata Governance

Data, by itself, is just data. But put data in context—that’s when it becomes useful information. Robert Seiner, while speaking at the DATAVERSITY® Enterprise Data Governance Online Conference, said that what provides that context is metadata: “Data plus metadata equals the information that our organizations need to use to be successful.” Seiner is President and […]

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Artificial Intelligence Augments Data Management

Artificial intelligence (AI) is now everywhere in Data Management, BI, and Data Science software, according to Mike Ferguson, Managing Director of Intelligent Business Strategies. The AI field is still young and will continue to get better as increased adoption of AI enables data and analytics software to predict, automate, and optimize, thus shortening time to […]

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Data Management Trends in 2022

Data Management is about collecting, storing, and using data efficiently, securely, and in a cost-effective way. More and more, organizations are shifting to scalable Data Management platforms (in the cloud) to govern, secure, and analyze data. This allows them to process their business functions with a single unified platform. Data Management platforms provide increased control, […]

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