Agile BI: The Big Picture, Part 1

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Jim Ericson, Philip Russom and Paul Kautza discuss what it means to be agile and the trends and issues around Agile BI at the TDWI World Conference in San Diego

Agile Data Warehousing Requirements Gathering with Ralph Hughes, Chief Systems Architect, Ceregenics

Ralph Hughes, Chief Systems Architect at Ceregenics, discusses agile DW requirements gathering with Information-Management.com Editorial Director Jim Ericson in this video from TDWI’s World Conference in Las Vegas

See also: "Devil in the Details: Best Practices for Requirements Gathering," an on-demand DM Radio broadcast
and "5 Common BI Problems," a slide show of tips from consultancy DecisionPath

Cloud BI with Steve Dine, Datasource Consulting LLC

Datasource Consulting managing partner Steve Dine gives his take on enterprises running business intelligence applications in the cloud in this talk with TDWI Director of Data Management Research Philip Russom

Read also: "Some New Intel on Business Intelligence," by Saugatuck's Bruce Guptill
and "Not All Analytics Fit for Cloud," based on report from MWD Advisors

BI Maturity Models, with Michael Gonzales

Michael Gonzales, Managing Director at DSS 42, delves into business intelligence maturity models with TDWI Director of Education Paul Kautza

Also read: "How to Manage Analytic Resources," by Rick Chambers
and "Executive Buy-In: The Chorus of Championing Voices," by Jane Griffin

Customer Analytics, with David Stodder, director of BI Research, TDWI

Customer analytics is the topic in this talk between Jim Ericson, Editorial Director at Information-Management.com and TDWI Director of BI Research

Read more: "Innovation and Social Business ROI: More Than Just Idea Generation," by Milind Pansare
and "BI Paths Old and New," by Jim Ericson

Taking on Business Analytics, with Dave Wells

Jim Ericson, Editorial Director at Information-Management.com, engages independent consultant Dave Wells on the ongoing shift in analytics thinking

Read also: "The Analytic Marketing MBA,” an interview with educator Girish Punj
and "Analytics: The Widening Divide," by analyst/blogger Steve Miller

Dimensional Models and Big Data Challenges with Chris Adamson

From TDWI World Conference in Las Vegas, Paul Kautza, TDWI Director of Education talks with Chris Adamson, data warehouse specialist and consultant, on the value of dimensional models even with the rise of big data

Read also: "Physical Data Model Versus Implementation Data Model," by Steve Hoberman
and "Virtualization: Now in Print," an interview with Composite EVP Bob Eve

Analytics and Ethics, with Frank Buytendijk, Data Management author and speaker

Frank Buytendijk, Data Management author and speaker, talks the ethics of analytics with Information-Management.com Editorial Director Jim Ericson at the 2012 TDWI World Conference in Las Vegas

Read also: "Big Data Already Suspect" by Jim Ericson
and "Data, Truth and Ethics" by Malcolm Chisolm

Self-Service Business Intelligence, with Claudia Imhoff, Intelligent Solutions

Claudia Imhoff, President of Intelligent Solutions, explores self-service business intelligence options with TDWI Director of Education Paul Kautza from TDWI’s World Conference in Las Vegas

Also: "Bringing BI to the Next Level" by Lyndsay Wise
and "Business Intelligence at the Speed of Thought" Web seminar

BI Innovation/Big Data Analytics, with Shawn Rogers, Enterprise Management Associates

From the TDWI World Conference in Las Vegas, David Stodder, Director of BI Research at TDWI, talks business intelligence and big data analytics with Shawn Rogers of Enterprise Management Associates

Read also: "Data Science Maturity" by Steve Miller
and "Big Data is Scaling BI and Analytics" by Shawn Rogers

Open source BI software for small and mid-sized businesses with Lyndsay Wise, Wise Analytics

Lyndsay Wise, President of Wise Analytics, and Information Management Editorial Director Jim Ericson discuss SMB options for open source BI at 2012 TDWI World Conference in Las Vegas

Also: "Open (Source) and Case Closed" DM Radio broadcast
and "The Year Ahead in Advanced Analytics? Advances on All Fronts!" by James Kobielus

Agile BI: Building a Break in the Clouds (and Helping Sales)

Shawn Spott, VP and manager of corporate intelligence and research, RBC Wealth Management, describes his experience addressing various data needs with cloud-based and on-premise platforms, talks about some of the challenges and gaps with the platforms, and provides advice for jumping into the cloud

Agile BI: Continual Involvement, Delivery and Participation of Stakeholders

Larry Burns, database consultant for PACCAR and author of “Building the Agile Database,” emphasizes that agile is for the business. The key is to deliver value back to the business quickly and continually, with business process management needs in mind.

Where Are We with Agile?

Ralph Hughes talks about agile adoption, the benefits to business from an agile methodology and where he sees the agile headed in the next three years.

Agile BI: Techniques for Collaboration between Business and IT

In this interview, Cindi Howson of BI Scorecard states that agile is about collaborating and discussing what you're trying to achieve; it's not really about technology solutions.

Agile BI: The Big Picture, Part 2

Jim Ericson, Philip Russom and Paul Kautza continue the discussion of the concept, methodology and meaning of Agile BI

From TDWI Las Vegas: The importance of data modelers and architects

Laura Reeves, principal at StarSoft Solutions, talks about the importance of data modelers, data architects and how it fits in a business setting.

From TDWI Las Vegas: Getting serious about basic information challenges

Shawn Rogers, VP of research, Enterprise Management Associates talks about basic challenges and getting serious about governance.

From TDWI Las Vegas: Topics of current interest at TDWI Las Vegas

Instructors at TDWI Las Vegas are asked to name topics attendees are talking about at the conference

From TDWI Las Vegas: The data governance status quo

Several instructors at TDWI Las Vegas comment on how seriously companies are approaching data quality and data governance programs