Data Quality Management Services

Utility organizations manage and maintain substantial datasets that support mission-critical operations and applications.  These datasets represent significant investment, serve as the most permanent memory of the organization’s business processes, and increasingly support the integration of previously independent systems.   The current and long-term value of a utility’s data is directly proportional to its inherent quality.  WLS’ Data Quality Management Services include:

Examination of Data Quality Perceptions
WLS’ experience suggests that utility personnel in various organizational roles often have dramatically different perspectives relative to the integrity of specific data and its importance to the organization.  WLS offers services that are designed to qualify, assess, quantify, and analyze data integrity from the customer’s current perspective, and to identify the perceived causes and ramifications of data integrity problems. The components of this service include: 

• Interviews with Utility Personnel

• Data Quality Workshops

Data Architecture & Quality Assessment
WLS activities within this service grouping are aimed at compiling a consistent quality profile of the relevant data systems by developing an appropriate method to measure and score the quality of each company data set. This service consists of:

• Develop Data Profile

• Examine Measurable Data Integrity

• Design & Develop Additional Verification Mechanisms

Process Analysis & Design

Perhaps the most important prescription for improving and sustaining data quality is the enhancement of business procedures that currently contribute to the creation of incorrect data and/or the incremental degradation of data quality.  WLS provides process analysis services aimed at identifying and addressing process and procedural components that contribute to data integrity problems. Our services include:

• Process & Technology Analysis

• Future State Process Design

Quality Enhancing Technologies

Ultimately, the sustained improvement of company data quality may merit the development of new applications or interfaces, or the modification of existing data models, applications, or interfaces.  Examples of the technologies that can be developed or supported by WLS’ technical resources include:

• Data Correction Tools & Routines

• Modifications to Applications & Interfaces

• Design & Development of Data Models & Applications

• Periodic Data Verification Routines