Data is an asset. Like most
assets, its value is greatly diminished if not properly maintained
or understood.
In good form, your information helps you make informed decisions and identify high value relationships and interactions. In poor form, this same information can lose its usefulness as an asset, quickly turning into a liability.
Low customer satisfaction and reduced brand stature are two likely indications that your information asset base has begun to under-perform.
In good form, your information helps you make informed decisions and identify high value relationships and interactions. In poor form, this same information can lose its usefulness as an asset, quickly turning into a liability.
Low customer satisfaction and reduced brand stature are two likely indications that your information asset base has begun to under-perform.
A comprehensive data quality solution
can both address past ills, and prevent future problems by:
| > | conveying how information is structured |
| > | identifying and measuring data quality and its impact on critical activities |
| > | enabling fix teams to identify and focus on the problems with most business impact |
| > | verifying conformance to rules during data use and capture |
Find out how Knowitsoft can customize its solutions to meet your company’s goals.
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Model
Using the MetaSphere suite, organisational data, process and structure are modelled to identify what information is held and how it is handled.
Using the MetaSphere suite, organisational data, process and structure are modelled to identify what information is held and how it is handled.
Monitor
Using the MetaSphere suite, organisational data, process, rules and structure are modelled to record what information is held,
how it is captured, managed and mesured. The model can then be assessed to quantify risk and exposure.
Manage
Using a cost and performance approach, the highest risk (most costly) issues are addressed first.
Performance monitoring capabilities within MetaSphere provide timely and relevant feedback on the current state of report and data usability
and progress of quality improvements to stakeholder audiences, as well as quickly identifying the business impact of data quality.
Appreciating how and where information is
used also helps to identify stakeholder audiences. In working with
these audiences the visibility of the data quality function increases,
boosting organisational awareness and enhancing the effectiveness
of the DQ function overall.
The data quality software and approach offered by Knowitsoft provides a high level of integration between data dictionaries (metadata), data quality
The data quality software and approach offered by Knowitsoft provides a high level of integration between data dictionaries (metadata), data quality
improvement initiatives, data
quality measurements, how and where data is used and captured and
what value it adds to the enterprise.
The level of integration offered provides the means for data quality stakeholders of any level within any role to quickly understand the current state of information quality.
The level of integration offered provides the means for data quality stakeholders of any level within any role to quickly understand the current state of information quality.
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