Data Cleansing and Standardization Solutions
Out-of-the-box and user-defined business rules parse, standardize, and cleanse all types of data from any enterprise source to create trusted, global enterprise views. As Trillium Software technology matches records, it identifies complex, relationships across multiple customer, product, supplier, financial and other data domains. Users can create and deploy reusable data quality rules and processes in high-performance, real-time environments to master enterprise data across multiple sources, applications and systems in batch, in real time, or by utilizing web services.
Complete integration means no data preparation
Because we offer a fully integrated product, you don’t need to worry about time-consuming pre-formatting or pre-processing of data. The Trillium Software System understands, interprets and reorganizes data within any context, from any source, even free text disassociated from relevant fields. And you can reuse any rule you create or modify within any system in your organization.
Context sensitivity improves productivity
Built-in context-sensitivity identifies data based on its placement in the data string and the surrounding context. We literally determine the meaning of data based on its context.
In this example, the abbreviated term “St” has several different meanings. Trillium Software is able to accurately parse, standardize and cleanse every data attribute with context-sensitive business rules, even when the data is poorly structured or misfielded.
Data Type
|
Data Elements
|
Business
|
St. James Barbeque and Pool Svc
|
Name
|
Bob James St. John III
|
Street Address
|
42 Ridge St. NW, #5
|
City, State
|
St. Louis, MO 63119
|
Product
|
ST-3474 Sandcastle CD
|
Cleanse more than just customer data
More than three decades of global experience has exposed us to nearly every data anomaly possible. Our expertise and experience work to your advantage in and across customer databases, operational enterprise applications, and multiple data domains.
Cleanse and Standardize Data
Customer data: name and address for both businesses and consumers
Product data: product codes, brands, makes, models, catalog and part numbers, etc.
Financial data: sales by region, sales by product, worldwide revenues, accounts payable and receivable, and global spend
See data cleansing in action
Request a demonstration from a Trillium Software Systems data quality expert today.
