Business summary
One-page
business summary that describes the key components of and the application
of DQM in your business. (250KB)
Case study
This
white paper presents two examples of a Data Quality project, which
delivered substantial value to the business. (720KB)
Five-steps for better data
quality management
This
paper is a summary of best practice in data quality management –
key learning in the industry, distilled into five easy steps.
(193KB)
DQM technical data sheet
This
is a technical summary on the architecture, performance, throughput,
and hardware requirements of DQM. This is particularly useful for
technical managers planning an implementation of DQM. (1MB)
Business case for DQM
This paper
describes how you can build a business case for a data quality project
using DQM. It provides a check-list of benefits and a process of
assembling the details for a compelling business base. (750KB)
Functional description
This
technical paper lists the key functional components of DQM, and
is particularly useful for project team who would be planning to
use DQM to deliver a data quality project. (880KB)
Technical paper - Scoring process
DQM provides
a deterministic and probabilitistic model of data matching. This
paper describes the design behind the scoring process used in probabilitistic
matching process. (440KB)
Proof of Concept
This
paper helps you to quantify the benefits of our data quality tool
in the context of the business environment of your organisation.
(824KB)
Successful Data Migration
Data
profiling, Communicate, Data governance, Business processes &
Tools. (2.44MB)
Data
Quality Management Methodology Diagram (677KB)
Data
Quality Project Methodology Diagram (728KB)
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