Governance and Data Quality Services

LumenData provides strategy, consulting and integration services for a variety of Data Quality systems. This includes technologies provided by Oracle, as well as leading independent vendors. LumenData's team has trained professionals who are adept at implementing and integrating Oracle DQ, Informatica IIR, Informatica addressDoctor, Trillium and SilverCreek systems. Leveraging our first-hand knowledge of these products, ability to incorporate data feeds such as D&B and Informatica/AddressDoctor, best practice methodology and multi-year experience, we can help you maximize your MDM software investments and deliver tangible results.

LumenData is the first and only SI that resells Informatica addressDoctor APIs and address libraries. These libraries are required in order to implement address cleansing using Oracle's Data Quality engine. As a company, Oracle does not sell address libraries. LumenData offers significant convenience to our customers by including in the libraries in the existing customer contract, as opposed to signing separate contracts with addressDoctor GmbH.

Our solution professionals have comprehensive expertise in all aspects of Data Quality implementations, including:

Data Governance Strategy

Drive a common understanding of the data governance model for a given organization, roles and responsibilities of data stewards and owners. Develop clear plans to resolve quality issues, define associated processes for root cause and impact analysis and measurements for continuous improvement.

Data Quality Assessment

Build a common understanding of the data quality issues, associated processes, root cases and required actions. This assessment broadly provides the following:

Business Issues caused by inaccurate data
Data Quality root cause analysis, business case and performance metrics
Business Rules for Data cleansing
Service delivery model for a data quality program

As part of this service, we inspect your data for errors, inconsistencies, redundancies and omissions, and answer the most frequently asked question: "Just how good or bad is my data?"

Data Quality Implementation

Analysis, design and implementation of the chosen data quality solution. The implementation addresses the following areas:

Identify & Quantify Data Quality issues
Define & Design Data Quality rules
Implement Data Quality software
Monitor Data Quality improvement

As part of this service, we can correct, standardize and verify your enterprise data, working on or off premise. We have successfully brought the power of Dun & Bradstreet, Informatica Data Quality as well as Trillium to our client's projects.

Ongoing Data Quality Production Support

Once a data quality implementation is completed, there is a need for continuous monitoring and troubleshooting of data quality related issues. Continuous Data Quality production support is designed to provide these services and address the following areas:

Assess, clean, consolidate and migrate/integrate data
Set up ongoing data quality management roles, processes & data workflows
Decision making for data issues reported by the data quality systems
Annual Data Quality Check
Data Quality Metrics Reporting