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08 Feb 2012 Airport retailer leaves Excel behind with BI tools makeover
The Paradies Shops’ search for BI tools to access data quickly and break away from Excel spreadsheets started with data discovery vendors but didn’t end with them.
Oracle Advanced Analytics bundles R with Oracle Database (SearchOracle.com)
Oracle Advanced Analytics is the company’s newest announcement around data analytics, a market that Oracle seeks to blanket with products.
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07 Feb 2012 Hadoop is hot, but not most popular ‘big data’ technology
New research reveals businesses’ relative lack of “big data” maturity and the hurdles in both technology and analytics techniques they need to overcome.
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01 Feb 2012 AAA picks Dell Boomi cloud integration tools over IBM, Jitterbit (SearchDataManagement.com)
A popular auto club is using Dell Boomi cloud integration tools to drive an aggressive cloud computing strategy.
SaaS dominates the cloud (A Business Application Summation)
Private clouds and infrastructure as a service get plenty of the attention, but when it comes to deployments, research shows most users are focused on software as a service.
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31 Jan 2012 From the Editors: Getting started on a 'big data' analytics program
Does your organization have a firm grasp on what "big data" is? That's a good place to begin on a big data analytics project, but don’t forget about basic IT blocking and tackling.
Let the revolution begin: Big data liberation theology (BeyeNetwork)
When people define big data they miss what's new about the technology. At its heart, big data is about liberation and balance. Wayne Eckerson explains.
Mobile BI brings more than security concerns to the table, TDWI says
Interest in mobile BI is growing, but democratizing data also presents hurdles for building a business case, according to new research from TDWI.
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27 Jan 2012 BI pros: From data experts to decision experts (BeyeNetwork)
TechTarget's Wayne Eckerson says there's more to being a BI professional than providing data to business users: You should shepherd them through the entire analysis and decision-making process.
When shopping for a 'big data' analytics platform, talk the talk
Enterprise Strategy Group provides a few tips on how to narrow down the product and deployment options before investing in a “big data” analytics platform.
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26 Jan 2012 Forrester Wave: Informatica, IBM lead data virtualization tools market (SearchDataManagement.com)
Informatica and IBM are the top dogs in the data virtualization software market, thanks to a strong combination of “enterprise-class” features, according to Forrester Research Inc.
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25 Jan 2012 Business applications cloud computing mega-guide (TechTarget Business Applications Sites)
Learn about cloud computing with business applications, including SaaS, IaaS and PaaS, plus cloud storage, grid computing, cloud hosting, and private cloud.
Gartner: Business, analytics fail to connect, mobile BI gets real (SearchDataManagementUK.com)
Gartner’s BI London summit will show a landscape beset by strategic misalignment, intra-organisational struggle and weak cloud adoption. Yet mobile BI is becoming a reality.
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24 Jan 2012 Data virtualization tools: Are they right for you? (SearchDataManagement.com)
Data virtualization software has moved beyond emerging-technology growing pains, say IT pros and analysts. Now the issue is finding uses that it fits.
SAS CEO Goodnight on revenue, talent, collaboration and the year ahead
SAS Institute CEO Jim Goodnight celebrates another profitable year for the privately held software vendor and considers the data and analytics road ahead for 2012.
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23 Jan 2012 Deloitte spots analytics trends, ethics and open data (SearchDataManagementUK.com)
Deloitte identifies four analytics trends: an increased focus on ethics, the rise of open data, new business models and a refusal to do analytics for its own sake.
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19 Jan 2012 Collaborative BI key to bringing order to chaotic business environments
Collaborative BI may not carry the same kind of prestige that “big data” or the cloud does, but devotees like Barry Devlin believe it to be a critical game changer.
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18 Jan 2012 Sustainable practices for updating SMB business intelligence processes
In small and midsize businesses as well as larger organizations, BI systems need to be flexible and adaptable in order to able to meet changing business needs, analysts say.
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16 Jan 2012 Telecoms lead pack in use of BI tools, analytics
While telecommunications may be maturing in its use of analytics and BI tools, new research finds that more than half of its analytical process time is applied to data-related tasks.
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13 Jan 2012 The top five data management mishaps of 2011 (SearchDataManagement.com)
Some of last year's biggest information management mess-ups could have been avoided through closer adherence to best practices, according to experts.
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12 Jan 2012 Q&A: Effective predictive modeling techniques more than a math problem
In an interview, analytics and data mining consultant John Elder offers advice on managing successful predictive modeling initiatives and a head’s up on common mistakes to avoid.
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11 Jan 2012 Coping with midmarket BI project management challenges: Tips for SMBs
Many small and midsize businesses don’t have a lot of money or staff resources to devote to business intelligence programs -- making sound project management processes essential, BI analysts say.
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10 Jan 2012 Building predictive models requires business engagement, mix of skills
To generate useful predictive analytics results, predictive modeling teams need a combination of analytical and business know-how plus close ties to business users, say analytics pros and consultants.
Gartner Magic Quadrant: Oracle, IBM lead product MDM software market (SearchDataManagement.com)
Oracle and IBM are the sole product MDM “leaders,” says Gartner, which also sees some vendors starting to focus on social media data and “big data.”
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Top Business Analytics Story
Telecoms lead pack in use of BI tools, analytics SearchBusinessAnalytics.com | 16 Jan 2012
While telecommunications may be maturing in its use of analytics and BI tools, new research finds that more than half of its analytical process time is applied to data-related tasks.