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Featured Content
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Yours, Mine and Ours
Explore Kalido Conversations (May 16 2013)
As I was straightening up my home office this weekend, I removed a stack of notes from on top of a stack of “go to” books on my desk. Three of those books belonged to “The Data Model Resource Book” series from Len Silverston (a great source of reference for data warehouse modeling patterns across [...]
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Commoditizing Data Science: The stampede toward Shadow IT 2.0
Explore Kalido Conversations (May 13 2013)
Recently I attended the Gartner BI Summit in Dallas. If there was any one thing that jumped out at me it was how many of the analytics vendors I spoke with are lowering the barrier to entry for just about anyone to acquire and apply these at their desk, from their hotel rooms, in the [...]
(Read Full Article)Comment Mentions: Big Data Gartner Harvard Business Review
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Bridge The Communication Chasm
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The Agile Data Warehouse View
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The Agile Data Value Chain Series
Explore Agile Data Warehousing Blog (Jan 18 2013)
Part 4
Copyright © 2012, Ralph Hughes, Ceregenics, Inc.
In the previous portion of this blog series, Ralph described the first four of nine steps that make up the new, agile data warehousing process depicted in Figure 1. In this installment of the series, he describes the hub of the cycle—automated testing—outlining why it allows teams to move ahead even faster.
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Mentions: ETL Data Warehousing Data Warehousing, Business Intelligence & Analytics
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Founding Sponsor
Kalido is the leading provider of agile information management software. Kalido enables companies to manage data as a shared enterprise asset by supporting the business process of data management. Kalido software has been deployed at more than 300 locations in over 100 countries, including 20 percent of the world's most profitable companies as determined by Fortune Magazine. Visit kalido.com for details.
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Master Data and Managing its “state”over time and evironments
Explore Gartner Blog Network (3 hours, 42 min ago)
An end-user posed a question recently as follows: How does one manage the integrity of master data changes across different environments – e.g. development, testing and production? This user has a home-grown master data mapping (as opposed to full MDM) service, and as its footprint has driven their home-grown maintenance framework (based on database synchronization scripts [...]
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Mentions: MDM
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Big Data. Evolution? Game Changer? Definitely.
Explore CIO.com (4 hours, 17 min ago)
In a recent survey of CIOs conducted for EMC by CIO Magazine, almost half the respondents said they agreed with this statement: "Big Data analytics is an evolution but not a revolution in the area of data warehousing, databases, and big file systems.
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Big Data Meets Walt Disney's Magical Approach
Explore smartdatacollective.com (6 hours, 38 min ago)
Recently, Walt Disney announced the introduction of the wireless-tracking wristband ‘MagicBand’ to Walt Disney World. They aim to make the visit to the Walt Disney World in Orlando a more magical experience while in return record the complete data trail of the visitors.
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Mentions: Big Data Data Management Hadoop
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Let Them Eat KPI: An Integrated Approach to KPI and MDM in Healthcare
Explore smartdatacollective.com (13 hours, 11 min ago)
The healthcare industry has a very large number of complex KPI. From research to patient care to operations and finance, KPIs and their management (metadata management, master data management) are critical to overall organizational success.
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Mentions: MDM ROI Data Management
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Beyond Big: Integration Possibilities for Big Data
Explore dataversity.net (15 hours, 31 min ago)
The increasing prevalence of Big Data in today’s business climate is indisputable, yet there are still several issues related to its integration with the enterprise that are preventing organizations from adopting it on a wider scale. The speed, size, and variety of Big Data present challenges to a number of conventional processes including governance, analytics, metadata, and storage. All too often, organizations that do incorporate Big Data do so in a silo format, which ...
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Mentions: IBM Data Governance Big Data
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10 Data Governance Red Flags
Explore dataversity.net (15 hours, 39 min ago)
Rick Vanover of TechRepublic recently shared ten signs that your company might have a data governance problem. He writes, “One thing we all can agree on is that hindsight is always very clear. When we’re discussing and reviewing issues in technology systems and failed projects, we can usually make a data path to the problem. Data governance issues can exist in organizations of any size, but if you don’t know much about data ...
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Mentions: Data Governance
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Data scientists don't scale
Explore zdnet.com (May 22 2013)
The blocker to broad adoption of Big Data analytics isn't a shortage of data scientists; it's our current dependency on them. Big Data and analytics are powerful, and the technologies around them are exciting. But if they can only be harnessed by highly-paid
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The Misunderstanding of Master Data Management
Explore smartdatacollective.com (May 21 2013)
Frequently, folks confuse the function and purpose of Master Data Management with Data Warehousing. I suspect the core of the problem is that when folks hear about the idea of “reference data” or a “golden record”, they have this mental picture of a single platform containing all of the data.
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Mentions: Big Data MDM Business Intelligence
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Data Virtualization and Real-time Data
Explore dataversity.net (May 21 2013)
In today’s fast-paced Data Management landscape, latency is not an option. Data must be captured and processed in real time. In other words, Business Intelligence (BI) is virtually useless if captured and analyzed too late. The enterprise is in a situation where all BI must be captured, understood, and put to use right away to gain any value from it. Arguably, Data Virtualization is one of the best paths to capturing and understanding complex ...
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Mentions: Business Intelligence Forrester ROI
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Indicators of Sound Data Governance
Explore dataversity.net (May 21 2013)
Kimberly Nevala of KM World reports, “Creating a sustainable governance practice means transcending the pilot phase to become ‘business as usual’. Does your program have what it takes? Here are some indicators.” She begins: “Your Program Has a Plan. And it’s Business-Driven. Keeping governance on the corporate agenda means keeping it warm with executives and stakeholders alike. Identifying information initiatives and requirements as part of—rather than separate from—established business planning processes ensures ...
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Mentions: Data Governance
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Is Big Data Tipping toward Pragmatism?
Explore TDWI -The Data Warehousing Institute (May 21 2013)
The theme of this month's TDWI World Conference in Chicago was "The Big Data Tipping Point." That tipping point may be occurring in some not-so-obvious ways.
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Data Visualization: Making Big Data Dance
Explore smartdatacollective.com (May 21 2013)
Fifteen years ago, the presentation of data typically fell under the purview of analysts and IT professionals. Quarterly or annual meetings entailed rolling data up into now quaint diagrams, graphs, and charts. Today, data is everywhere. We have entered the era of Big Data and many things are changing.
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Mentions: Big Data Data Visualization
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Big Data Management: What to Expect
Explore TDWI -The Data Warehousing Institute (May 20 2013)
Think about everything you know about data management, including its constituent disciplines for integration, quality, master data, metadata, data modeling, event processing, data warehousing, governance, administration, capacity planning, hand coding, and so on. Now, write down everything you know on a series of index cards that are about the same size as playing cards. Next, do some reading and studying to determine the new things you need to learn about managing so-called “big data,” and ...
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Mentions: Philip Russom TDWI Analytics
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Big Data Strategy in 3 Smart Steps
Explore Dataquest (May 20 2013)
Big data and analytics are complementary to each other. As big data is increasing, the need for data analytics is also increasing.
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Big Data Investigations: Opportunity and Risk
Big Data analytics were also at play in the recent conviction of two Steubenville, Ohio high-school football players for raping a 16-year-old girl. Richard A. Oppel Jr., writing in the New York Times, noted that, "The verdict came after four days of testimony that
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