• 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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Information Services

Now, more than ever, your data quality strategy must encompass far more than the simple correction and standardisation of data within applications and systems.  The advent of big data and social media places an ever increasing reliance on 3rd party reference data to improve and enrich existing data.  The information that social media provides about customers is unstructured in comments, reviews, and statuses. 

Many industries including health care, pharmaceutical, banking, and automotive are moving towards increased electronic record keeping of notes, patient records, loan applications, and contracts to cut cost, reduce risk, and adhere to government regulations.

Your data management strategy must reconcile external data sources, that  may not meet your organizations requirements for data quality, before data can be accepted and allowed to augment existing information.  Unstructured data must be analyzed and categorized, within context, to make sense of its content and make use of the information. 

Trillium Software is uniquely positioned to support these challenges and has extensive experience managing the reconciliation of reference data and standardizing unstructured data. 

  • Analyze and identify inconsistencies in reference data before they are incorporated into your business
  • Analyze unstructured data to identify patterns and key phrases that provide context of the content
  • Develop repeatable business rules to continuously identify and structure data to meet business needs

Contact us to learn how the Trillium Software System extends traditional data quality to make managing reference data and unstructured data easier, delivering improved insight and value to the business faster

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