Why CIOs Use Master Data Management
Data drives everything in the enterprise. But not all data is equal, and not all data is valid.Read More
How CIOs Find Value in Data
The fact that there’s plenty of data easily within the CIO’s reach doesn’t necessarily translate into definable value for the company.Read More
5 Signs you Need Master Data Management
Your nose is runny. You have a sore throat and a headache. You can’t stop coughing, and the thermometer shows that you have a low-grade fever. All signs point to your having a cold. You know that you need more rest, hot broth and ibuprofen.Read More
How Good Data Quality Helps CIOs Control Costs
Data is constantly accumulating as the result of your company’s applications and user interactions.Read More
Why MDM Matters to Business Intelligence Strategy
From Gartner’s CIO Agenda for 2019: When asked about which technology area organizations will be increasing their investments, 45% of respondents replied that the money would go to business intelligence or data analytics solutions. No other technology – with the exception of cybersecurity (40%) – even came close to that.Read More
5 Ways CIOs Can Enhance the Value of Data
The concept of placing value on data has been around since data was being collected electronically. But in 1990 Gartner’s Doug Laney explored the concept of infonomics that proposed a method to determining the value of a company’s data.Read More
A Customer Data Management Strategy Helps to Answer Difficult Business Questions
Companies rely on their data to answer difficult questions about any and all of their essential business entities for analytics purposes.Read More
Why CIOs Need to Lead the Charge on Providing a Consolidated View of Enterprise Data
Managing enterprise data is a key responsibility for today’s CIO because there is so much of it in so many formats.Read More
3 Ways Master Data Management Can Enable Data Monetization
Data monetization is about achieving direct financial results from having access to data that is stored, maintained, classified and made accessible in an optimal manner.Read More
Are You Juggling Too Many Big Data Projects?
Past experience has taught most data managers that the number of big data projects on their lists will only continue to grow.Read More
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