SOLUTIONS
Overview

Enterprise
Information Strategy
MDM and CDI
Data Warehouse
Data Governance
Reporting, Analytics and Dashboard
Data Security
Data Quality

IT
Managed Resource Augmentation
Data Integration and ETL
DW Optimization
Data Warehouse Operations

Finance
FAR Compliance
Data Security
Data Quality

Sales and Marketing
Customer Analytics
MDM and CDI

As data warehousing has matured, many organizations are focused on improving the quality of their data. Given the broad spectrum of problems and events that can impact data quality, it can be difficult to justify and challenging to implement an effective data quality management solution. Our approach integrates in-stream with existing Extract, Transform and Load (ETL) platforms to provide an easier way to implement a data quality strategy. It allows companies with large-scale, complex data systems to quickly analyze extracted or staged data, find anomalies, and prevent the introduction of the data containing these anomalies into the warehouse until the cause of the anomalies is resolved.

A data quality solution can help:

• Improve compliance with service level agreements
• Detect and resolve anomalies sooner by ensuring data quality prior to data entering system
• Save time by preventing load and subsequent removal of bad data and reload of correct data

The key to any success for any information quality initiative is a consistent, unified approach to data improvement within the enterprise. It is critical to implement a defined process, measure it consistently, and ensure that quality is always a top priority. Kinetic Networks can help you get there.

Project Overview >>

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Case Studies