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    <title>TDWI Research and Publications</title>
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      <title>Ten Mistakes to Avoid In an Agile BI Transformation</title>
      <description>&lt;span class="PremCont"&gt;&amp;nbsp;&lt;/span&gt;
&lt;p&gt;&lt;strong&gt;By Ken Collier, Ph.D.&lt;/strong&gt;&lt;/p&gt; 
&lt;p&gt;In my work with dozens of BI teams attempting to “go agile,” I’ve
seen lots of mistakes. This &lt;em&gt;Ten Mistakes to Avoid&lt;/em&gt; outlines the
most common and recurring errors to help you avoid repeating the
mistakes of others.&lt;/p&gt;&lt;img src="http://feeds.feedburner.com/~r/tdwi-research-and-pubs/~4/SNiXAlI6m90" height="1" width="1"/&gt;</description>
      <link>http://feedproxy.google.com/~r/tdwi-research-and-pubs/~3/SNiXAlI6m90/ten-mistakes-to-avoid-in-an-agile-bi-transformation.aspx</link>
      <pubDate>Mon, 13 May 2013 07:00:00 GMT</pubDate>
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    <item>
      <title>What Works Volume 35</title>
      <description>TDWI's &lt;em&gt;What Works in Data Management&lt;/em&gt; offers a fresh, topically focused collection of customer success stories and expert perspectives designed to enhance your understanding of the tools, technologies, and methods that are central to data management today.&lt;img src="http://feeds.feedburner.com/~r/tdwi-research-and-pubs/~4/x9BOyyx5NIM" height="1" width="1"/&gt;</description>
      <link>http://feedproxy.google.com/~r/tdwi-research-and-pubs/~3/x9BOyyx5NIM/what-works-volume-35-publication.aspx</link>
      <pubDate>Mon, 29 Apr 2013 17:07:00 GMT</pubDate>
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    <item>
      <title>TDWI Hot Topic // Big Data and the Data Warehouse: A Question of Adjustment</title>
      <description>Retooling for the era of big data isn’t a question of starting from scratch. It doesn’t require radically reinventing the data warehouse (DW). Philip Russom, director of data management for TDWI Research, says that what’s needed are “adjustments” to how the DW is structured and managed.&lt;img src="http://feeds.feedburner.com/~r/tdwi-research-and-pubs/~4/Q7FqXc9-uXo" height="1" width="1"/&gt;</description>
      <link>http://feedproxy.google.com/~r/tdwi-research-and-pubs/~3/Q7FqXc9-uXo/tdwi-hot-topic-big-data-and-the-data-warehouse-a-question-of-adjustment.aspx</link>
      <pubDate>Tue, 23 Apr 2013 07:00:00 GMT</pubDate>
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    <item>
      <title>TDWI Best Practices Report | Integrating Hadoop into Business Intelligence and Data Warehousing</title>
      <description>Hadoop promises to assist with the toughest challenges in BI today, including big data, advanced analytics, and multi-structured data. Download this TDWI Best Practices Report to learn how to integrate Hadoop into your business intelligence, analytics, data integration, and data warehousing technology stacks.&lt;img src="http://feeds.feedburner.com/~r/tdwi-research-and-pubs/~4/eTGk8BxNc7g" height="1" width="1"/&gt;</description>
      <link>http://feedproxy.google.com/~r/tdwi-research-and-pubs/~3/eTGk8BxNc7g/tdwi-best-practices-report-integrating-hadoop-into-business-intelligence-and-data-warehousing.aspx</link>
      <pubDate>Mon, 01 Apr 2013 07:00:00 GMT</pubDate>
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    <item>
      <title>TDWI Checklist Report // Seven Steps to Making Big Data Accessible to Executives</title>
      <description>This TDWI Checklist Report describes a BI environment and its attendant best practices that can greatly simplify executives’ access to big data and enhance their consumption of insights and metrics that come out of big data and similar data sets.&lt;img src="http://feeds.feedburner.com/~r/tdwi-research-and-pubs/~4/GTxuQck9bP4" height="1" width="1"/&gt;</description>
      <link>http://feedproxy.google.com/~r/tdwi-research-and-pubs/~3/GTxuQck9bP4/tdwi-checklist-report-seven-steps-to-making-big-data-accessible-to-executives.aspx</link>
      <pubDate>Wed, 27 Mar 2013 07:00:00 GMT</pubDate>
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    <item>
      <title>TDWI Checklist Report // Trusted Information for Analytics</title>
      <description>Trusted information is a critical success factor for any decision-making process that employs data warehousing, business intelligence, or business analytics. In this TDWI Checklist Report, we look at key tasks and activities that bolster the organization’s level of trust in information.&lt;img src="http://feeds.feedburner.com/~r/tdwi-research-and-pubs/~4/7sU3sB0oQdQ" height="1" width="1"/&gt;</description>
      <link>http://feedproxy.google.com/~r/tdwi-research-and-pubs/~3/7sU3sB0oQdQ/tdwi-checklist-report-trusted-information-for-analytics.aspx</link>
      <pubDate>Wed, 27 Mar 2013 07:00:00 GMT</pubDate>
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    <item>
      <title>Business Intelligence Journal | Vol. 18, No. 1</title>
      <description>&lt;span class="PremCont"&gt;&amp;nbsp;&lt;/span&gt;Download this issue to learn six practical steps for integrating and acting on social media. Our authors also reveal the keys to making self-service BI sustainable, and they take a hard look predictive analytics, in-memory analytics, and analytic platforms. You'll also read about mobile BI, Hadoop for big data, career advice, and the philosophy of postmodern BI.&lt;img src="http://feeds.feedburner.com/~r/tdwi-research-and-pubs/~4/zRI08pbA6nE" height="1" width="1"/&gt;</description>
      <link>http://feedproxy.google.com/~r/tdwi-research-and-pubs/~3/zRI08pbA6nE/business-intelligence-journal-vol-18-no-1.aspx</link>
      <pubDate>Mon, 18 Mar 2013 07:00:00 GMT</pubDate>
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    <item>
      <title>2013 TDWI Salary, Roles, and Responsibilities Report</title>
      <description>&lt;span class="PremCont"&gt;&amp;nbsp;&lt;/span&gt;
The &lt;em&gt;TDWI Salary, Roles, and Responsibilities Report&lt;/em&gt; provides an overview of compensation, roles, responsibilities, skills, experience, training, and job satisfaction of industry professionals, and also takes an in-depth look at the profiles of 10 specific roles.&lt;img src="http://feeds.feedburner.com/~r/tdwi-research-and-pubs/~4/IsV4XcmNaO4" height="1" width="1"/&gt;</description>
      <link>http://feedproxy.google.com/~r/tdwi-research-and-pubs/~3/IsV4XcmNaO4/ss-2013-tdwi-salary-roles-and-responsibilities-report.aspx</link>
      <pubDate>Mon, 18 Mar 2013 07:00:00 GMT</pubDate>
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    <item>
      <title>TDWI Checklist Report // Seven Steps to Deploying Visual Analytics for Improving Actionable Insight</title>
      <description>This TDWI Checklist Report details seven steps for successful visual analytics intended to help organizations develop strategies for improving actionable insight to a growing population of users.&lt;img src="http://feeds.feedburner.com/~r/tdwi-research-and-pubs/~4/sIENaSeV3EU" height="1" width="1"/&gt;</description>
      <link>http://feedproxy.google.com/~r/tdwi-research-and-pubs/~3/sIENaSeV3EU/tdwi-checklist-report-seven-steps-to-deploying-visual-analytics-for-improving-actionable-insight.aspx</link>
      <pubDate>Fri, 15 Mar 2013 07:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://tdwi.org/research/2013/03/tdwi-checklist-report-seven-steps-to-deploying-visual-analytics-for-improving-actionable-insight.aspx?tc=page0</guid>
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    <item>
      <title>TDWI Checklist Report // Taking IT to the Next Level: Next-Generation Data Integration </title>
      <description>The next generation of data integration seamlessly combines streamlined development with fully integrated
data accessibility, quality, and utility. This report presents a series of recommendations for developing a value justification for engaging business sponsors, as well as developing a strategic IT road map promoting the value of data architecture and data integration.&lt;img src="http://feeds.feedburner.com/~r/tdwi-research-and-pubs/~4/HdOsN56xkfk" height="1" width="1"/&gt;</description>
      <link>http://feedproxy.google.com/~r/tdwi-research-and-pubs/~3/HdOsN56xkfk/tdwi-checklist-report-taking-it-to-the-next-level-next-generation-data-integration.aspx</link>
      <pubDate>Fri, 01 Mar 2013 07:00:00 GMT</pubDate>
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    <item>
      <title>Ten Mistakes to Avoid In Your Big Data Implementation</title>
      <description>&lt;span class="PremCont"&gt;&amp;nbsp;&lt;/span&gt;
&lt;p&gt;&lt;strong&gt;By Krish Krishnan&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;In this &lt;em&gt;Ten Mistakes to Avoid&lt;/em&gt;, we will look at the most common mistakes that occur when implementing a big data program to help you enhance your analytical insights and the decision support processes in your enterprise.&lt;/p&gt;&lt;img src="http://feeds.feedburner.com/~r/tdwi-research-and-pubs/~4/xnz8WdAUSug" height="1" width="1"/&gt;</description>
      <link>http://feedproxy.google.com/~r/tdwi-research-and-pubs/~3/xnz8WdAUSug/ten-mistakes-to-avoid-in-your-big-data-implementation.aspx</link>
      <pubDate>Tue, 19 Feb 2013 07:00:00 GMT</pubDate>
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