Precisely Trillium Data Quality is a leading, scalable, enterprise data quality platform with off-the-shelf rules for complex South African name and address data, and the ability to manage and cleanse any kind of data. This ensures quick delivery of value.
Trillium - Enterprise Data Quality for Africa
Improve Data Quality and Make Better Business Decisions
Your business success depends on accurate data, and accurate data depends on a reliable, scalable solution and experienced implementors.
Get Real-Time Access to Trusted Data with Trillium
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. Fix existing data quality issues and embed data quality services to stop bad data from entering your systems
Deploy Trillium into your ETL processes, natively in your big-data environment, or as real-time web or REST services to ensure data integrity across your entire data landscape.
A Smarter Approach to Data Quality
Often, critical business information is trapped in separate silos, recorded in inconsistent formats, and inaccessible to those who need it most. This diminishes the quality of your customer experience, hinders operational efficiency and threatens regulatory compliance.
The Precisely Trillium data quality suite rapidly transforms your data into trusted business information to support strategic initiatives across your organisation such as:
- Data governance
- Customer 360
- Data validation
- Data enrichment
- Data migrations
- Master Data Management
- and more...
Rapidly discover hidden insights in your data with Trillium Data Profiling
Data Profiling: What you don’t know can hurt you
All business operations depend on a foundation of quality customer, product, sales and financial data. But what you don't know can hurt you.
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 modelling: 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
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.
Automatically Improve Data Quality
Standardise, Enrich and Match Any Data
Precisely Trillium tackles the challenge of data quality improvement with a powerful combination of automation and versatility.
Through a no/low-code environment, even users with limited coding experience can implement data standardization, enrichment, and matching processes. This streamlines data management and frees up IT resources for more complex tasks.
Trillium's strength lies in its ability to handle massive datasets. No matter the volume of your data, Trillium can cleanse, standardize, and enrich it efficiently. This ensures that even the largest organizations can benefit from improved data quality.
Integration is often a hurdle when implementing new data management solutions. Thankfully, Trillium seamlessly integrates into complex enterprise data landscapes. Whether deployed in batch or real-time, Trillium works alongside your existing systems to ensure consistent, high-quality data across your entire operation.
An extra layer of power comes from Trillium's explainable AI matching. This innovative feature allows you to understand the reasoning behind data matches, giving you confidence in the accuracy of the process. With Trillium, you get automation, scalability, and explainability – a winning combination for conquering your data quality challenges.
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 (Name and Address) data.
As the South African partner, Masterdata works with Precisely to maintain and enhance the South African data quality 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.
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