• 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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  • 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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  • TDWI Strategies for Improving Big Data Quality

    Organizations dependent on big data for a wide range of business decisions need data quality management that can improve the data so it is fit for each desired purpose. Without data quality management, the massive quantities of data organizations ingest will not provide the anticipated benefits—and can even do harm if used to drive faulty business decisions.

    This TDWI Checklist Report offers six strategies for improving big data quality. In discussing these strategies, we will look at how managing data quality in big data environments differs from traditional systems.

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  • Gartner Information Stewardship 2018

    Gartner recongises Collibra in market Guide for Information Stewardship aplications for third consecutive year

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  • AML Webinar

Video: Are you focused on your data?

Our Offering

 

Information is the life blood of any modern business.

It underlies every business decision, customer relationship, and business investment. How can you know if the information that you rely on everyday is the most accurate, consistent, and reliable?.

Our focus, over more than ten years, is to reduce the complexity of data management.

We do this through a combination of data management training, consulting and technology to enable your business to unlock the potential of its information assets.

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Sound Enterprise Information Management principles centre on a business driven data management strategy to ensure allignment between data and business.

 

 

 

 

We help you to allign business and IT goals and objectives through the relationships between:

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Delivering new insight, quickly, from any kind of data by providing:

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Delivering consistent master data when and where required by providing:

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Delivering fit for purpose data across the enterprise through combining:

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Ensuring the optimal use of your data assets through combining:

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  • In honour of Mandela Day

    Data Quality Matters Jul 17, 2018 | 08:00 am

    “If you talk Data to business, it goes to their head. If you talk to business about empowering and enabling them to make informed business decisions based on accurate and trustworthy data that will give them the competitive advantage, it[…]

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