Key decisions are normally based on data coming in from numerous sources. Analysts and decision makers must be confident in the accuracy of the information driving their recommendations and decisions. Information quality is much more than data cleansing. It is the product of a defined, repeatable set of processes used to measure the quality of the data and defining threshold that can alert users when certain data breaches those thresholds. Noah Consulting has a flexible Information Quality methodology designed to establish a sustainable, measurable solution for our clients.
It includes:
Accuracy:
A tested methodology designed to improve the overall quality of data.
Unique Quality Stanards:
Each originator and consumer of data can establish unique thresholds of quality.
Role Based Accountability:
Supply chain process to ensure data quality is managed effectively and reporting functionality to alert and monitor effectiveness of data stewards.
Tested Methodology:
Rapid, effective accelerators available which can easily be consumed and integrated into any IM program.
Metadata Driven:
Easy access to further analyze quality of data across the enterprise and allow for proactive measures.
Metadata Management:
Management of the data about data that allows for traceability and quality assurance.
