• Get your CIMP in Data Quality

    Data quality is a key business challenge of the 21st century. Quality has been an issue since the dawn of the IT profession and becomes increasingly challenging as the volumes of data increase and the uses for data expand. Regardless of your roles and responsibilities in IT - manager, developer, or technologist - you will at some time be challenged by data quality issues. And quality is an equal opportunity issue, imposing itself in every aspect from transaction systems to Web content and business intelligence.

    Our Data Quality curriculum includes 12 online courses and can lead  to a Certified Information Management Professional (CIMP) accreditation

    Read more
  • Syncsort Trillium Software named DQ leader in 2017 Gartner Magic Quadrant

    For the 12th consecutive year, Syncsort’s leading Trillium Software data quality solutions have been named a Leader in the Gartner Magic Quadrant for Data Quality Tools1.

    According to the report, “Leaders demonstrate strength in depth across the full range of data quality functions, including core functions (parsing, standardization and cleansing), profiling, interactive visualization, matching, multidomain support and business-driven workflow.”

    Syncsort’s Trillium Software data quality solutions have notable strengths that include solid, stable core data quality functionality, both on-premises and in the cloud; enhanced capabilities to support big data; and address validation and geocoding capabilities.

    Download the 2017 Gartner Magic Quadrant for Data Quality Tools report to learn how a leading data quality solution can help you achieve your long-term strategic objectives.

    Read more
  • Case Study: Absa Capital Client Static

    How did AbsaCapital solve its Client Static data quality problems?

    Download the case study

    Read more
  • 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.

    Read more

Data Quality

Article Index

Our goal is simple: to deliver “peak condition” information fit-for-your-business, however, wherever and whenever you need it. We call this “Enterprise Data Quality.”  

Enterprise Data Quality demands a solution that can scale to the needs of your enterprise, yet can  ensure correct and consistent data at every touchpoint. Our data quality solutions range from the delivery of a quick data audit in support of any data intensive project, to a data quality strategy alligned to your data governance goals, to the implementation of full scale data cleansing and data matching capcbilities in support of SAP, Oracle / Siebel, Microsoft Dynamics CRM or a host of other master data management, ETL or SOA solutions.

Enterprise Data Quality means moving beyond a limited, application-centric view of data quality to ensuring consistent application of data governance policaies and standards across all applications in your architecture.

No events

Follow Us on Facebook Google+ Follow Follow Us on Twitter Follow Us On LinkedInyoutube

MDM is committed to the protection of personal information.

For our Privacy Policy, click here

Subscribe to our monthly newsletter for data management tips, updates and news
Country *
We will not share you details
Unsubscribe at any time
Please wait
  • 4 benefits of a business glossary

    Data Quality Matters Jan 15, 2019 | 08:05 am

    In its most basic form a business glossary is a set of definitions for commonly used business terms, aggregations, etc Many organisations may start with a spreadsheet of terms. However, over time, the need to provide context to the business[…]