59 Resources found:

Resources

Product Sheets
Instant 360 View
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White Papers
White Paper:
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.
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Videos
Achieving High-Quality MDM in Weeks, Not Years
Our Cognitive Approach™ enables a production-ready, operational enterprise repository that establishes the highest-quality 360 degree views in just weeks.
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White Papers
How Effective Is Open Source MDM?
Many believe the arrival of open source solutions heralded the beginning of a new era of MDM, where the technology is more accessible and readily usable by even small enterprises.
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Past Webinar Recordings
Webinar:
DQ Expert Series, Part 2: Insider Tips: Using Geospatial Data for Spatial Analysis
Part of the DAMA Industry Expert Webinar Series
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White Papers
White Paper:
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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Past Webinar Recordings
Webinar:
DQ Expert Series, Part 1: How to Become a Data Quality Champion in Your Organization
Part of the DAMA Industry Expert Webinar Series
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White Papers
5 Proven Ways to Customize Data Quality Programs to Meet Business Needs
How to gain a better view of your customer.
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Past Webinar Recordings
Webinar:
MDM Best Practice Methodology Series - Part 1: Accurately Predicting MDM Quality and Resource Requirements Before You Start
Highlighting the advanced capabilities of Innovative Systems' data management and risk management solutions and methodologies.
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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.
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