Resources

20 Resources found:

Resources

White Papers
White Papers
12 Guidelines for Success in Data Quality Projects
This white paper discusses key characteristics of data quality initiatives and provides actionable guidelines to help make your project a success.
White Papers
White Papers
3 Ways Geocodes Can Help You Understand Your Customers
Adding geocodes unlocks a whole new world of analytics that allows organizations to take advantage of geospatial big data.
White Papers
White Papers
5 Proven Ways to Customize Data Quality Programs to Meet Business Needs
How to gain a better view of your customer.
White Papers
White Papers
6 Common Business Benefits to Help Justify MDM
This white paper will show you how to convince senior leaders to get fully on board.
White Papers
White Papers
7 Business Benefits of Postal Coding – And What to Look for in Choosing the Right Solution
Learn seven important ways postal coding can strengthen your business – and the critical capabilities to look for in a full-function postal coding solution.
White Papers
White Papers
A New Approach to Data Profiling: How Full Data Set Profiling Reduces the Time and Cost of Data Integration
Learn the four critical phases at which poor quality customer data can seriously impact the success of the merger or acquisition – and how an Enterprise Customer Data Quality Management Regime can minimize the risks.
White Papers
White Papers
A Ten Step Plan for an Effective Data Governance Structure
By following the steps in this white paper, business and IT leaders will improve data quality, reach business goals, and ultimately, avoid the costs associated with bad data.
White Papers
White Papers
Data Governance Councils and Data Stewards: You Can't Have One without the Other
This white paper provides an overview of data governance councils and data stewards, two entities that must be in place in order for any data governance program to succeed.
White Papers
White Papers
De-Risking Master Data Management and Ensuring Project Success
As consistent, accurate data becomes more important to companies' core business objectives, many organizations are implementing master data management (MDM) strategies to improve the quality and usability of their data.
White Papers
White Papers
Enterprise Customer Data at Risk: The 5 Danger Signs of Data Integration Disaster
Learn which widespread factors can put your next merger, integration or consolidation project at risk – and about an easy-to-implement solution that can protect your project from integration failure.
White Papers
White Papers
How Effective Is Open Source MDM?
White Papers
White Papers
Is an MDM "Mega" Vendor Really Right for Your Company?
As usage of smaller MDM vendors is increasing, many enterprises are realizing that these vendors are often more cost-effective, deliver faster, and can offer a more tailored solution than the mega vendors.
White Papers
White Papers
Is MDM in the Cloud Right for You?
Understanding the risks and rewards
White Papers
White Papers
Master Data Management (MDM): An Overview
This White Paper provides an overview of Master Data Management (MDM) concepts.
White Papers
White Papers
Preparing for a Master Data Management Implementation
Effective preparation is key to ensuring the success of master data management (MDM) initiatives.
White Papers
White Papers
Preparing for Master Data Management Implementation
Effective preparation is key to ensuring the success of master data management (MDM) initiatives.
White Papers
White Papers
The Top Ten Ways to Use Data Profiling Tools
In this paper, the top ten ways to use data profiling tools are presented.
White Papers
White Papers
Top Ten Tips for Implementing Master Data Management
White Papers
White Papers
Why a Better Customer Experience Starts with Master Data Management
One of the most effective ways to achieve a more cohesive customer understanding is through an effective master data management (MDM) approach.
White Papers
White Papers
Why Data Profiling is Critical for Data Migration Projects
The information in your company's various databases represents everything you know about your customers, vendors, employees, and other business relationships. To get the most out of your data, you must understand what the data is and it's condition.

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