Data Cleansing and Standardization:
Clean, consistent data across your entire enterprise
Your business processes and applications depend on clean, consistent data. But consider all the ways your data may not be suited to your business needs:
- Consumers who submit incomplete records, via Web services or eCommerce platforms
- Sales/service representatives who misplace values among various fields
- Poor integration of data from different sources, often with different rubrics for the same fields, such as “address,” “street address” or “local address”; or “postal code” and “zip code”
- Contradictory inputs from CRM, ERP and other systems
With all the opportunities for confusion, muddled data isn't just a possibility, it's a probability. Unless you take action to protect your data.
Prepare your data for business, fast
TS Quality's data cleansing & standardization functions automatically do the hard work for you, without time and labor-consuming pre-formatting or pre-processing. The tool understands, interprets and re-organizes data within any context, from any source, even free text disassociated from relevant fields.
Once the initial cleansing has been done, your data is now standardized to work effectively with all your applications and systems, including CRM, ERP, MDM, CDI, SOA, eCommerce platforms and more. Plus, any rules you have created or modified may be reused within any system in your organization.
For customer and product data
With more than three decades of ground-level experience, nationally and internationally with every type of industry, we've seen nearly every data anomaly possible. Fortunately, we've untangled the data disasters so that you don't have to.
Our experience works to your advantage in both customer databases and business enterprise applications:
- Customer data is optimized for name and address for both businesses and consumers
- Product data is optimized for product codes, brands, makes, models, catalog numbers, etc.
Example of Context Sensitive Data Quality:
St. James Barbeque and Pool Svc
Bob James St. John III
42 Ridge St. NW, #5
St. Louis, MO 63119
In the example above, how many different meanings are there for "St."? Meaning depends on the context. TS Quality recognizes all of its potential meanings, (in this case: part of a business name, part of a person's name, as an abbreviation for "street," and as part of a location, "St. Louis"), and makes sure that information is correct for its context.
See data cleansing in action
Request a demonstration from a Trillium Software Systems data quality expert today.