You can’t have that data! It’s not perfect yet
Should you have complete confidence in the quality of your data before handing it over for use in processes or analytics? Not necessarily. Find out why it’s okay for your data to be “good enough.”
View ArticleCharlie Brown's teacher speaks Hadoop. Do you?
Ever felt like you and your big data specialist were speaking different languages? Learn how a non-geek can speak big data.
View Article7 analytics habits of highly effective CIOs
Analytics achievers are organizations that place a high value on analytics and use it as a strategic asset. Find out if you have what it takes to make it in the big-data league.
View Article4 myths about big data CIOs must understand
Can CIOs use big data and analytics as a ticket to relevance in their organizations? Yes, but first they have to bust these four big data myths.
View ArticleComponents of an information management strategy
Before starting a data management strategy for your business, you need to understand each component. Data expert David Loshin breaks them down.
View ArticleTaking MDM to the next level
What are people talking about when it comes to the future of master data management? Evan Levy predicts the next big trends of MDM.
View ArticlePutting 'I' back in CIO
Research firm IDC debunks four common myths about the role of IT in analytics.
View ArticleModernize Your Approach to Big Data
Modernization is not just about systems and technology. In fact, technology changes can seem easy when compared with cultural change. Learn how to evolve your mind sets and leverage your data sets to...
View ArticleSoccer versus baseball: which is the best analogy for data governance?
Is data governance more like baseball, featuring individual effort, or like soccer, where a team approach wins? Carol Newcomb evaluates the best sports analogy for data governance.
View ArticleThe drive to modernize policing
Many police forces still work with outdated technology and manual processes, which time-consuming and error-prone. This is fueling investments in modernization that will push data exploitation to the...
View ArticleBuilding a proactive intelligence management capability from scratch
Implementing the right intelligence management system can have far-reaching benefits. The right system will help you pinpoint the sources of crime, catch more perpetrators and possibly even prevent...
View ArticleUnifying master data management with existing data practices
Philip Russom, TDWI Research, offers tips for unifying master data management with data quality and data governance.
View ArticleDriving business change in public security agencies
This is tough challenge. But if you can deliver a quick win in one area - that shows tangible results - you've gone a long way toward a much broader implementation that can kick-start real business...
View ArticleToyota Financial Services’ CIO is a model for change: part innovator, part...
CIO Ron Guerrier walks a fine line, gently snuffing out rogue IT activities activities without impinging on the innovation and real-time needs that drove business users to adopt them in the first place.
View ArticleData governance framework: What is it and do I already have one?
A data governance framework encompasses a holistic approach to how you collect, manage and archive data.
View ArticleBig data privacy: Four ways your data governance strategy affects security,...
With IT and business strategies converging, something that’s a little late to the party is the concept of big data privacy.
View Article6 Big Data Dos and Don’ts
Social data. Streaming data. Unstructured data. What are the dos and don’ts for dealing with all these new big data sources? Find out from SAS experts and recent IDG research.
View ArticleThe “problem-solver” approach to data preparation
Noted technology author David Loshin explains why it's important to know what the problems are before getting data ready for analytics.
View ArticleThe intersection of modern IT and advanced analytics
Thornton May explains how IT groups are helping the business use analytics to adapt to the C-suite's need for a modern, agile and results-focused IT function.
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