Videos
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Data-driven innovation needed in businesses -- and dog shelters
Innovation driven by data analytics is important, not only to companies, but also to dogs waiting to be adopted in shelters. SAS best practices consultant Jill Dyché explains why.
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Self-service push drives new data analytics project processes
SAS consultant and author Jill Dyché discusses how self-service BI and business control of systems affect IT teams and details a novel approach to IT buying that may ease push-pull issues.
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Advanced analytics techniques fuel data-driven organization
Consultant Claudia Imhoff says descriptive and diagnostic analytics aren't enough to build a data-driven culture -- companies need to step up to predictive and prescriptive analytics, too.
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McKnight: Good data visualization techniques tell a story about data
In a webcast, consultant William McKnight highlights tips on creating data visualizations that convey the meaning of data correctly and coherently.
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IT exec sets course for smooth sailing on BI, data warehouse projects
In a video Q&A, Sam Strum of Inttra details how the ocean shipping logistics company managed a business intelligence and data warehouse initiative.
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Eckerson: BI team needs mix of IT and business skills to succeed
In a video Q&A, analyst Wayne Eckerson details key skills for business intelligence teams and shares his thoughts on future BI software developments.
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Predictive Analytics World founder explains how uplift modeling works
Predictive analytics consultant and author Eric Siegel discusses uplift modeling, an emerging technique aimed at pinpointing marketing efforts.
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How uplift modeling helped Obama's campaign -- and can aid marketers
Data analyst Daniel Porter details how uplift modeling techniques were proven in a very high-stakes marketing war -- the 2012 presidential election.
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Rogers: Lack of big data skills poses biggest impediment to adoption
In a video Q&A, consultant Shawn Rogers discusses where companies stand on using big data tools and says a skills shortage is a common roadblock.
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McKnight: Business intelligence ROI or TCO data a must in most cases
In a video interview, BI consultant William McKnight outlines the differences between ROI and TCO and how to apply them in advocating for BI projects.
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Loshin: Defining the potential business benefits of BI programs
Business goals must be paramount in designing business intelligence programs to fully gain BI's benefits, consultant David Loshin says in a video Q&A.
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Wixom: BI applications need visual appeal
Business intelligence teams should upgrade their visual design skills to create winning applications for BI users, says IT professor Barbara Wixom.
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Eckerson: Using Hadoop in 'big data' systems can pay off fast
In a video interview, TechTarget's Wayne Eckerson discusses the benefits and challenges of deploying Hadoop-based systems in 'big data' environments.
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Wayne Eckerson: Color effective analytics program managers purple
Successful analytics managers mix business blue and IT red skills, TechTarget's Wayne Eckerson says in discussing his new book on analytical leaders.
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White: Time to move from 'big data' management to 'big data' analytics
Industry analyst Colin White is tired of all the talk about the three V's of "big data." He instead wants to focus on the use cases -- the analytics -- of big data.
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Rogers: Data scientists can add business value, but not for everyone
Data scientists are sweeping the IT industry, at least as far as hot terms go. But some businesses will have to keep them at arm's length.
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'Big data' analytics 101: Practical advice on getting started
In a video interview, consultant William McKnight provides an explanation of "big data" basics: what big data is and the issues that are involved in managing and analyzing it.
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Q&A: Composite Software on 'big data' integration, analytics
Composite Software exec Robert Eve talks about the challenges of "big data" analytics, offers advice on managing big data projects and discusses Composite's approach to integrating big data.
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'Big data' analytics: Hype or the real thing?
Is there real value to be gained by analyzing "big data"? And what challenges does big data present to organizations? Consultant Jill Dyche answers those questions and more in a video interview.
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Tyagi: 'Big data' technology a solution in search of right problems
Not every data problem requires "big data" technology, says consultant Vineet Tyagi. In a video Q&A, he discusses good uses for big data tools and offers tips on managing a big data project.
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'Big data' analytics, mobile BI apps help U.S. Xpress truck more data
In a video Q&A, Timothy Leonard of U.S. Xpress explains how the trucking company uses big data analytics, real-time BI software and mobile BI apps in unison to make important business decisions.
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Eckerson: 'Big data' analytics weighs a mix of the old and new
In a video interview, business intelligence analyst Wayne Eckerson offers tips on using big data analytics software and related big data technology. He also gives his view of what big data really is.
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In the trenches: Benefits and pitfalls of deploying a BI system
Learn about a business intelligence system rollout at American Access Casualty Co., including the expected benefits and challenges that can be faced when deploying BI technology.
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Building a business intelligence (BI) strategy
Learn about building a business intelligence (BI) strategy and find out if creating a business intelligence competency center (BICC) is the first step to a successful BI plan.
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Understanding the business intelligence (BI) portfolio approach
Learn about the business intelligence (BI) portfolio approach to managing BI software, and find out how to get started on setting up a BI portfolio in this BI strategy video Q&A.
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How to create effective dashboards and scorecards
Learn how to create an effective dashboard and executive scorecard design. Find out who uses dashboards, how to meet design challenges and users' business and technology needs.
Photo Stories
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Talking Data: AI advances and the MIT Startup Exchange
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Newest AI technology set to disrupt tech sector, job markets
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Talking Data: Is there a difference between AI and analytics?
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Tableau targets data preparation software with Project Maestro
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Talking Data: How to make data science and analytics pay
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Inside consumer tech companies' push for enterprise business analytics