Data Quality Management (EDQM)
Leveraging clean, useful and accurate data is an integral to of success for an enterprise.
Information supports the formation of strategies, creation of growth and realization
of efficiencies for enterprises who accurately model and track important relationships
and market trends. The importance of data quality is magnified when internal and
external information are blended in data warehouses and more advanced OLAP (on-line
analytical processing) applications, new technology processes to ensure the accuracy
of information are required.
Amitech Enterprise Data Quality Management (EDQM) framework coupled with industry
"best of breed" tools integrate with existing applications and business processes,
and provide for monitoring and tuning of the system to ensure that knowledge and
rules are easily maintained. We are accustomed to working across multiple platforms
and information architectures to enhance, monitor, govern and ensure the accuracy,
timeliness, relevance and consistency of information throughout an enterprise, or
multiple business units within an organization. Amitech increases the power of our
clients’ business intelligence solutions by cleansing, correcting and enhancing
data to ensure foundational information is in compliance with internal business
rules and with regulatory obligations.
Amitech Enterprise Data Quality Management helps our clients:
- Create an accurate view of your enterprise, your customers and your business environment
- Improve the value to data through appending information from trusted sources onto
your customer records
- Uncover the structure, completeness and suitability of data within the enterprises
data resources
- Verify enterprise data against established criteria or watch lists in real time