• 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.

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  • Case Study: Absa Capital Client Static

    How did AbsaCapital solve its Client Static data quality problems?

    Download the case study

    Read more
  • Webcast Applying Data Quality Best Practices at Big Data Scale

    Global organizations are investing aggressively in data lake infrastructures in the pursuit of new, breakthrough business insights. At the same time, however, 2 out of 3 business executives are not highly confident in the accuracy and reliability of their own Big Data. Regaining that confidence requires utilizing proven data quality tools at Big Data scale.

    In this on-demand webinar, discover how to ensure your data lake is a trusted source for advanced business insights that lead to new revenue, cost savings and competitiveness. You will have the opportunity to:

    • Compare your organization’s data lake “readiness” against initial findings from our upcoming annual Big Data Trends survey
    • Gain insight into where and how to leverage data quality best practices for Big Data use cases
    • Explore how a ‘Develop Once, Deploy Anywhere’ approach, including to native Big Data infrastructures such as Hadoop and Spark, facilitates consistent data quality patterns
    Read more

Data Quality Solutions

data quality icon

Data Quality is a perception that the data supporting operations, decision making and planning are fit for purpose.

Ensuring quality data is an ongoing function that may include a combination of automated data quality checks and validations, automated data cleansing and matching, and manual data scrubbing or remediation.

Ultimately, data quality is a business function that should be supported by IT.

Good quality data is the foundation for successful operations, analytics and planning.

While tactical data quality approaches have a role to play at a project level, we suggest that data quality adds most value when it provides a consistent approach to ensuring fit for purpose data across the enterprise. Tactical approaches should therefore be alligned to the enterprise data quality strategy, which may, in turn, be driven by your data governance policies.

We assist you to ensure that the data that powers your business is fit for purpose, through a combination of data quality implementation, education and the enterprise data quality platform.

Data Quality Education

Data Quality Audit

Data Quality Consulting

Trillium Software System

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:

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.

Specialists in enterprise data quality!

>Our consultants have delivered data quality solutions for a range of data areas - including Product/Materials Data, Financial Systems, Real Estate Management, HR/Employee Data, Supplier Data, Customer Data and Name & Address Data.

We have worked in a number of industries - including banking, insurance, government, telecommunications, hospitality, mining and manufacturing

We understand the complexities of managing African data - including multiple languages, minimal standards and a lack of reference data and our methodologies address these complexities for best results.

Whatever your data quality problem, we provide a practical solution:

  • Once off Data Audit or ongoing Data Quality metrics
  • Once off Data Migration
  • Address Validation and Geocoding
  • Data Governance and Quality for Regulatory Compliance
  • Automated data cleanisng processes and services

Trillium Software customised for Africa

According to Bloor Research, "the fundamental purpose of IT is to provide information to the business in a suitable format and in a timely manner; and data quality is fundamental to realising the value of that information".

They conclude that a data quality platform that can be directly integrated within in a wide variety of contexts - batch and real-time, at the point of data capture and the point of data extraction, in data migrations and in on-going database maintenance operations -  is likely to be quicker to deploy and cheaper to operate than data quality components that are wrapped within a specific environments.

The first step toward success is taken when you refuse to be a captive of the environment in which you first find yourself.

Achieving peak-condition data requires a data quality solution that allows you to define and automate the consistent enforcement of your corporate data standards across business-critical applications, systems, and platforms.  We have enhanced the Trillium Software System to provide rapid South African address data quality implementations

Our "out of the box" business rules for South African data have been deployed against hundreds of million of South African name and address records. Your data quality and data governance team can leverage these rules to ensure a best practise deployment of data cleansing and matching without having to re-invent the wheel - saving thousands of development hours and ensuring rapid time to value for your dat aquality and master data management projects.

video ms crm data quality trillium data quality data sheet video sap data quality data quality porject management guide

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  • Q and A on Data & Analytics

    Data Quality Matters May 22, 2018 | 09:44 am

    Let’s define data and analytics and how specifically they are interpreted within the business context. Within a business context, many people consider data and information to be one and the same. While one can argue the definition of each, when[…]