What is Product Data Quality?
High-quality product data is more than just key identifiers, such as product number,
manufacturer or supplier. Rich master product data includes detailed
technical attributes such as size, material, color, and more. But
technical attributes are not enough. To be usable, product data
must also be accurate, up-to-date, consistent, and complete.
High-quality, classified data is free from duplications, structured to enable efficient searching and matching,
and fully complies with data governance criteria.
Why do you need Product Data Quality?
Product data quality is the cornerstone of any supply chain, lean
manufacturing, and spending management initiatives. Low quality product
data inevitably has a negative effect on overall business performance,
while high-quality product data dramatically accelerates performance
within a short period of time.
How do I achieve Product Data Quality?
Achieving product data quality requires an expert team,
multi-disciplinary approach and know-how, a comprehensive suite of
tools, and ongoing data governance and protection. Product Data Quality
is comprised of two major elements:
Data Quality Firewall
A data quality firewall enforces industry and business standards, rules, and
regulations across the enterprise. Typically, data governance focuses on structured data (databases),
while the main challenge is to govern the unstructured data — the "hidden information" within the description.
Read more.
Legacy Data Refinement
Data refining is the process of consolidating all data sources from
various systems, formats, languages and quality into a
"single version of the truth." The process consists of classifying
data, assigning product attributes, normalizing values, and
identifying duplicates.
Read more.
If your product data is incomplete, unclear, or inconsistent, it could be costing your company a fortune.
Contact an InQuera representative for a product data quality check-up.
