Resource Center

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

Agile BI: The Big Picture, Part 1

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

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 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: Skills for the modern workplace

Instructors at TDWI Las Vegas are asked to describe workplace skills that will be important to U.S. workers going forward

 

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

 

From TDWI Las Vegas: New topics in information management

Instructors at TDWI Las Vegas are asked to name emerging subject areas in data and information management that will have future importance

From TDWI Las Vegas: Trends in SMB adoption of BI

Lyndsay Wise, president of Wise Analytics discusses trends among smaller businesses adopting business intelligence applications.

From TDWI Las Vegas: Emerging technologies and internal business conflict

Mark Madsen, president of Third Nature consulting talks about emerging technologies and internal business conflict related to technology

From TDWI Las Vegas: Immaturity of BI delivery

Cindy Howson, president, BI Scorecard talks about lingering BI immaturity and misunderstanding around licensing and delivery models

From TDWI Las Vegas: New BI delivery models

Robin Bloor, president, Bloor Group says owners of BI systems are looking at a new model for business intelligence architecture

From TDWI Las Vegas: Agile methodology and the corporate information factory

Claudia Imhoff, president, Intelligent Solutions talks about agile methodology, the corporate information factory and how business needs to grow up with IT. 

 

From TDWI Las Vegas: The power of intangibles, the fate of IT

Dave Wells, independent industry consultant, on the value of intangibles and the coming extinction of IT shops as we know them.

 

Tech Update: The Pipeline and Is It Really Different? , "A Tipping Point for Infrastructure?"

The panel discusses the future mix of enterprise and other software infrastructure 

 

Tech Update: The Pipeline and Is It Really Different? , "Service platforms and IT Budgets"

The panel discusses whether annual IT budgets are still relevant in a dynamic IT setting

 

  • 5 Levels of Data Infrastructure Management
  • How to Select Relevant KPIs
  • 9 Enterprise Mobile Security Essentials
  • 4 Best Practices for Process-Centric CRM
  • 6 Tips for Governing Analytics
  • 5 Steps to Data Quality
  • 7 Data Management Ah-Ha Moments
  • Analytics in 2012
  • Mobile BI in 2012
  • Cloud Computing in 2012
  • Big Data in 2012
5 Levels of Data Infrastructure Management

What can psychology and Maslow’s hierarchy of needs teach us about data infrastructure management? For starters, some of the basic principals of information management problem solving.

Level 1: Tribal

At this level, an organization may function, but without any formal processes or systematic management. Data infrastructure management is left to the whims of individuals, who carry relevant knowledge and know-how in their heads. Documentation of individual duties does not exist, and professionals simply go about duties such as backing up data, monitoring networks and administering patches to servers. Informal networks seen at this level lead to inconsistent performances across various systems.

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