• Collibra named Leader in 2017 Metadata Management magic quadrant

    Gartner rates our partner, Collibra, a leader in teh 2017 Metadata Management Magic Quadrant.

    Learn more

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  • Certifiy in Advanced Analytics with new ElearningCurve Business Analytics Curriculum

    Our partner, eLearningCurve has launched a business analytics track for data science and advanced analytics.

     

    Learn more

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  • Register for our upcoming webinars and conferences

    Keep track of our partners sessions on data governance, data qual;ity, big data and more...

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  • Webinar: The power behind Collibra's 2018 data predictions?

    Strugling to stay ahead of the data curve?

    Download Collibra's new eBook to learn about their predictions for data in 2018

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  • ebook: 6 GDPR compliance pitfalls and how to avoid them

    The GDPR deadline is May 2018.

    If you deal with European customers or partners then you are affected

    get this eBook to learn more about managing common GDPR implementation problems

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  • TDWI Checklist Report | From Self-Service to Data-Driven

    6 ways a data catalog can help

    This TDWI checklist report considers how a data catalog helps to enable the data driven enterprise and provides 6 tactics for driving value from this important investment.

    As the importance of self-service solutions for BI, analytics, and data preparation continues to grow, the emphasis is no longer only on centralized, full-time data professionals and their institutional knowledge. We also must find a way to support the business’ needs with better-documented data assets. For many organizations, this is a data catalog.

    Organizations today need not only full-time architects, analysts, and developers to collect and maintain the wide variety of information that needs to exist in the catalog—they need business data stewards to be the primary driving force in creating and maintaining it. That’s why ensuring the data catalog is user-friendly is key to driving broad adoption. Clearly, developing BI and analytics is no longer a one-way street from IT to the business; it goes both ways and everyone must manage the information about data.

    These six tactics will demonstrate why it is critical that every organization implement a data catalog and how your enterprise can create value with this important investment.

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  • Webinar: AI Success: Data science vs. data governance

    AI and machine learning are revolutionizing the way we engage with customers, streamline operations, and mitigate business risk. Learn more about how the trusted data is critical to AI success in this Information Management webinar

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Global Data Excellence

Global Data Excellence (GDE) provides a radically different approach to maximising business process efficiency and reducing enterprise risk using enterprise data.

GDE's Data Excellence Management System (DEMS) measures and presents the business impact (cost and risks) of non-compliant data in monetary terms. This "show me the money" approach bridges the gap between business and IT data management professionals by alligning and linkiing business objectives to data management processes.

The DEMS enables sustainable data governance by linking data quality to business impact and value. Key features include:

  • The ability to measure and visualise the business impact of non-compliant data on business processes and transactions.
  • Full issue management of non compliant data based on accountability within the business at the business rule level, and within the data management team at the data attribute level.
  • The ability to do root cause analysis based on configurable data hierarchies

Once business owners can measure the impact of poor data quality in terms of cost and risk they become motiavted to actively participate and address these issues. This is the core value of the DEMS

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