• 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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Data Migrations

Data migrations are frequently seen as an unexciting step in building the right environment for a new enterprise application. 

Clean Data Saves Systems

For this reason, they are frequently poorly planned and poorly understood. Industry researchers, like Gartner and META Group, agree that data migration challenges can drive significant unbudgeted expenses for these projects - and are a frequent cause of project failures.

in most cases, these costs can be attributed to a design for a new application that does not take existing data complexities into account. This means that issues are discovered only during data take on - a very late stage in the implementation life cycle - and significant, costly rework is required to amend the application design to cater for these anomalies.

Manage your data migration

Master Data Management uses our proven data management methodology and market leading technology to accurately assess the fit of existing data to the business need. 

This allows us to accurately scope and implement requirements for data cleansing during the data migration ,as well as to assist with planning data structures to best accommodate existing data.

Maintain Data Standards

The last thing you need is to invest millions in new systems only to find that the data quality issues that plagued you previously have resurfaced within months of your go-live date.

Our approach allows new systems to reuse business processes and validations built to migrate data, ensuring you get the business returns you expect from your system.

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