Improve Data Quality and Make Better Business Decisions

Trillium DQ for Big Data helps you maximize the business value of big data and cloud with the power of highly scalable data profiling and data quality.

Trillium DQ for Big Data helps you maximize the business value of big data and cloud with the power of highly scalable data profiling and data quality.

Organizations are gathering larger volumes, and greater variety, of data to achieve more insights and make better data-driven business decisions. Yet surveys consistently show executives lack trust in their data. To have confidence in decision-making, regulatory compliance and more, enterprises require data quality tools that can handle these growing and complex data sets.

Trillium DQ for Big Data provides industry-leading data profiling and data quality at scale, designed specifically to meet the challenges presented by today’s data environments, so you can drive successful data governance, advanced analytics, AI, machine learning, and focused business insights.

Trillium DQ for Big Data empowers your users to focus on understanding and addressing critical data quality issues and requirements. Quickly and natively connect to Big Data sources to execute data profiling tasks, and visually create and test data quality processes which can be deployed and run directly within Big Data execution frameworks on premises or in leading cloud platforms.

Unlike other enterprise data quality tools, Trillium DQ for Big Data automatically manages the technical aspects of executing data profiling and data quality jobs at run time, including dynamic performance optimization based on available system resources and your chosen computer framework. You can design once and deploy anywhere, with no tuning or re-coding, even if you change frameworks.

With native high-performance data profiling, you can:

Visually assess the quality of the data sources in your data lake and assess their completeness, consistency, validity, and accuracy. Trillium DQ for Big Data includes:

• Time-tested, robust data profiling capabilities built from decades of industry-leading data quality expertise. Users select, connect, and run data profiling against Big Data sources in a few easy steps, with no user coding skills or Big Data expertise required.

• A business user interface to broadly explore your data with rich out-of-the-box functionality to uncover data defects or outliers, and evaluate data relationships across sources, drill down to any detail, and annotate your findings.

• Powerful yet straightforward business rules to focus in on key validation criteria, whether simple, complex, or compound conditions for measuring data quality, and evaluate data sources according to thresholds you set.

• Native connectivity to Big Data sources, Intelligent Execution for highly scalable processing, and extensible storage so you can scale to the data volumes you need to address.

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Rapidly discover hidden insights in your data

Data Profiling: What you don’t know can hurt you

All business decisions rest on foundations of customer, product, sales and financial data. Companies spend millions on initiatives intended to manage data assets more effectively, such as CRM, MDM, and ERP. For these projects to be “successful”, the data within these systems must be of high quality. Data profiling, therefore, is not only a critical first step in evaluating the data that populates these applications, but also a requirement to manage, maintain, and monitor their lifetime value.

Understanding the structure, format, and accuracy of data and its relationship to other data elements helps businesses specify, control, and manage enterprise data assets.  Identifying, analyzing, and understanding the state of enterprise data upfront—what is present, absent, corrupted, and misfielded—before you begin any data migration or integration process from legacy systems, can predispose success or failure.  Upfront profiling mitigates data challenges that increase risk, undermine Key Performance Indicators (KPIs), and impede sound decision-making.

See what lurks beneath

Data profiling presents insights into the condition of the data that resides in data sources throughout the enterprise. Automated data profiling applies pre-crafted, out-of-the-box business rules to multiple data elements across disparate databases and applications to expose what would likely be unforeseen correlations. It reveals relationships between data elements (attributes) within a data source or across multiple data sources. It then applies statistical analysis to attributes to identify data issues including:

  • Incorrect data
  • Missing data
  • Data anomalies
  • Misfielded data
  • Nulls

and points you to the places where those issues, inconsistencies and anomalies exist.

Capture a true profile of your data

By revealing complex relationships among scattered data sources within the enterprise and providing insight into the structure of data, data profiling and discovery imbue companies with the confidence to move forward with ambitious data architecture projects.

A thorough understanding of data structure and its overall condition improves results gleaned from any initiative.

  • Data modeling: analyze schema relationships within data and metadata
  • Data migration and integration: identify relationships for transformations
  • Data quality: establish the validity and accuracy of data
  • Data governance: understand data relationships for compliance and regulatory reporting
  • Business Intelligence: validate data dependencies, such as valid product ids matching product items, for accurate enterprise reporting

The process of data discovery can be complex and resource intensive. Comprehensive data discovery capabilities from Trillium Software make the process easy. Trillium Software technology accomplishes in-depth data discovery and profiling to uncover the “unknowns” that might otherwise be overlooked and automatically captures a complete and true profile of enterprise data, its metadata, and related data quality assessment. We then deliver the power to cleanse and correct all the problems that emerge.

Get Real-Time Access to Trusted Data

Recognised by Gartner as a leader in data quality tools,

Precisely Trillium will quickly resolve your immediate data quality needs and also scale and adapt to your evolving business, technology and data challenges.

  • Trillium Discovery – access, modify and manage data quality standards collaboratively with a web-based business rules centre
  • Trillium Quality – cleanse, standardise, match and enrich customer, product and financial data, as well as any type of critical business information

Deploy Trillium into your ETL processes, natively in your big-data environment, or as real-time REST services to ensure data integrity across your entire data landscape


Local and International support

A solution that deals adequately with American data may fail to deal with South African data.

Knowledge of local culture, language and standards can have a significant impact on data quality efforts - particularly when dealing with Party's (Name and Address) data.

As the South African partner, MDM works with Preciselyly to maintain and enhance the South African country rules.

Our off the shelf rules seamlessly handle English and Afrikaans address and business variations, spelling errors, renaming of towns and cities, and similar complexities - saving hundreds of hours of development effort in comparison to solutions that do not offer this head start.

We also have experience in the delivery of Country projects elsewhere in Africa.

Talk to us to find out how we can help you with all your international data needs!

south african and international data quality rules

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