Jonathan G. Geiger is executive vice president at Intelligent Solutions, Inc. Geiger has been involved in many corporate information factory and customer relationship management projects within the utility, telecommunications, manufacturing, education, chemical, financial and retail industries. In his more than three decades as a practitioner and consultant, Geiger has managed or performed work in virtually every aspect of information management. He has authored or co-authored numerous articles and three books, presents frequently at national and international conferences, and teaches several public seminars. Geiger may be reached at JGeiger@IntelSols.com.

BI Requirements Gathering – Facilitation Tips
January 13, 2012 As with other facilitated sessions, business intelligence information is collected using a combination of collaborative...

Interview Tips for BI Requirements Gathering
November 1, 2011 The interview needs to gather known requirements, but also help the interviewee discover items unaccounted for

Preparing for Requirements Gathering
September 13, 2011 Before the sessions, understand the needs of the business you are trying to support

Why Does Data Modeling Take So Long?
July 1, 2011 Too much of the time spent developing data models is consumed by requirements and business rules

More on Validating the Data Model
May 1, 2011 How to properly delegate validation responsibilities for the technology model

How to Validate the Data Model
March 1, 2011 Representatives from data management and businesspeople should be responsible and accountable for this critical task

Why We Need System and Technology Models
January 1, 2011 System and technology models help apply business rules and coordinate data structures

Why Do We Model?
November 1, 2010 The data model is the basis for the physical structure that understands and supports the business

More Data Modeler Qualifications
September 1, 2010 With analytical skills and a business focus, the modeler can create a better model and help the business stakeholder discover...

The Qualified Data Modeler
July 1, 2010 Building a data model that is correct from a business perspective takes more than structural modeling skills

How to Get Executive Involvement
May 1, 2010 Ensure that sponsors and leaders understand the importance of business intelligence

More Data Quality for Confident Operational Business Intelligence
March 1, 2010 A continuous improvement approach to operational BI dictates that the root causes - not just the symptoms - of the problem are...

Data Quality for Operational BI
January 2, 2010 Operational BI can only be successful if data meets quality expectations and is understood by the business community

The Talents of a True Data Steward
November 1, 2009 Technical, interpersonal and positional skills are required to manage data as an asset

Are We There Yet?
September 14, 2009 A data model is never complete, but that should not deter using it to support development projects

How to Start a Business Intelligence Program
July 16, 2009 Companies must understand the ways a BI program changes how information will be provided and used and express this in a formal...

Why Build a Data Model?
May 19, 2009 A business data model provides many benefits to a BI project

Application Management
August 1, 2007

Intelligent Solutions
June 1, 2007

Metadata's Role in Managing the Data Asset, Part 2
May 1, 2007

Metadata's Role in Managing the Data Asset, Part 1
April 1, 2007

The Role of the Data Model in Quality Management
March 1, 2007

Improving Data Quality
February 1, 2007

Ensuring Quality Data
January 2, 2007

Business Responsibilities for Managing Data
December 1, 2006

Business Responsibilities for Managing Data
November 1, 2006

Data Delivery Center of Excellence
October 1, 2006

Data Integration Center of Excellence
September 1, 2006

Establishing a Center of Excellence
August 18, 2006 Success of centers of excellence depends on well-defined authority, roles and organizational placement

Establishing a Center of Excellence
August 1, 2006

Managing the Business Intelligence Infrastructure
July 1, 2006

Managing the Total Cost of Ownership
June 1, 2006

Governance and Direction Setting
May 9, 2006 Guiding principles are specific statements that drive practices within business intelligence

Setting the Business Intelligence Direction
May 1, 2006

BI Executive Involvement
April 25, 2006 A solid governance structure promotes resourceful thinking, aligns BI with business priorities

Business Intelligence Executive Involvement
April 1, 2006

CIF^e: Evolving with the Times
December 1, 2005 As the business intelligence environment changes, the Corporate Information Factory (CIF), which provides a resilient...

You Can be Sure if It's ... Been Certified, Part 3
November 1, 2005

You Can be Sure if It's ... Been Certified, Part 2
October 1, 2005

You Can be Sure If It's ... Been Certified, Part 1
September 1, 2005

Who You Know, Or Who Knows You!
February 1, 2005

It Takes Two to Tango...
September 1, 2003

Success Factors for Data Warehousing Projects: Ensuring Active Business Sponsorship
July 1, 2001 Discussions of data warehousing often focus on the importance of building a sustainable architecture. While recognizing the...

Success Factors for Data Warehousing Projects: Ensuring Active Business Sponsorship
June 15, 2001 In the first installment of a three-part series, Geiger details what it takes to get the business side of the enterprise...

Howdy, Pardner!
March 1, 2001

My, How Times Change! 10 Years of Data Warehousing
February 1, 2001 For this special anniversary issue, several of our columnists reflect on the past 10 years. Their insightful commentaries...

Building the Customer-Centric Enterprise, Part 2
December 1, 2000

Building the Customer-Centric Enterprise, Part 1
November 1, 2000 Part 1 of a three-part series on building a customer-centric enterprise focuses on understanding the customer life cycle,...

Postcards from the Corporate Information Factory
July 1, 1999 This is one in a series of five articles in this issue focusing on the different categories of the corporate information...

Recognizing a Good DW Data Model, Part 3
January 1, 1999

Recognizing a Good DW Data Model, Part 2
December 1, 1998

Recognizing a Good DW Data Model, Part 1
November 1, 1998

Trimming the Data Warehouse
October 1, 1998

The Data Wherehouse
September 1, 1998

Call It Sam
July 1, 1998 As a subject-oriented, integrated, current, volatile collection of data used used to support tectical decisions, an...

Source System Analysis
June 1, 1998

Don't Believe the Label
May 1, 1998

An Innocent (?) Business Change
January 1, 1998

Data Stewardship Using the Zachman Framework
December 1, 1997