Client INSIGHT - May, 2008

 

Get into Gaming:
A "post-game" DAMA conference wrap-up with Bob Newell
 
Jill Dyche

Baseline Consultant Bob Newell recently spoke at the DAMA conference in San Diego, California on the subject of "A Day in the Life of a Casino Data Warehouse." We talked to Bob about his session to see how it went and find out more about where the gaming industry finds itself along the Data Warehouse/BI Adoption life cycle curve.

 

INSIGHT: First, how was this DAMA conference different than other conferences?

Bob Newell: This conference focuses directly on Data Management. The three key tracks were Enterprise Information Management (EIM), Zachman Framework, and Service Oriented Architectures (SOA).

INSIGHT: How was your session?

BN: My session rated pretty well. The average rating was 7.60; the highest was 9.64; my average score was 8.57.

Here are a few of the comments that people made regarding my session:

“Practical review of data important to gaming - provides best practices for other industries”

“This presentation made me cringe to think about how well data is tracked.”

“Very interesting. Good understanding of the industry. Great stories and use of data in the industry. Good connection/link with the audience.”

INSIGHT: Where is the gaming industry vis a vis other industries in the data warehouse/BI Adoption lifecycle?

BN: It’s really in the early adoption stage. Only Harrah’s has really invested in the Data Warehouse and Business Intelligence technology. However, it’s all owned and operated by the IT organization. If the business has a question, they have to submit it to the data analysts and data mining group in IT. Even Marketing doesn’t have access to the Data Warehouse.

The industry in general seems to be lost in the 1970’s. They use AS/400’s as their primary Online Transaction Processing (OLTP) platforms. The IT organizations are very much about central control. Where they use a Systems Development Life Cycle (SDLC), it’s something from the 1980’s.

INSIGHT: Within your audience: how many attendees were in the gaming industry? How many were actually applying the concepts?

BN: There was only one attendee who I recognized, an Enterprise Data Manager from a small gaming firm.

INSIGHT: What are some lessons other industries can learn from the gaming industry?

BN: Gaming is way behind the curve in BI practices. However, they have a lot of continuous data acquisition coming from many geographical locations and sources: Slots, Tables, Hotel, Restaurants, Spas, etc.. There is a common Customer Valuation measure: Theoretical Earning Potential. It’s the velocity of the patron losing money to the house. There’s even a School of Gaming at UNLV.

INSIGHT: Why is BI such a big deal in gaming?

BN: It’s biggest at Harrah’s, the industry leader in number of properties. In the Marketing groups, they are looking at reducing marketing costs (in the form of gaming, restaurant, entertainment and activity coupons). Because the Gaming operators don’t understand their customer segments well, they over compensate low-value customers. Wall Street now has experience in the Gaming space, and they are lowering their valuations of companies that don’t have these costs under control.

 

 


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November 2, 2008. TDWI Conference, New Orleans. BI from Both Sides: Aligning Business & IT with Jill Dyche

November 3, 2008. TDWI Conference, New Orleans. Keynote: Five Levels of MDM (and Data Governance!) Maturity with Evan Levy

November 3, 2008. TDWI Conference, New Orleans. Introduction to MDM for BI Professionals with Jill Dyche

November 3, 2008. TDWI Conference, New Orleans. Implementing MDM for BI and Data Integration with Evan Levy

November 4, 2008. TDWI Conference, New Orleans. Ten Mistakes to Avoid when Launching a Data Governance Program with Jill Dyché and Kim Nevala.

November 4, 2008. TDWI Conference, New Orleans. Change Management for MDM with Frank Dravis and Evan Levy

November 5, 2008. TDWI Conference, New Orleans. Understanding MDM Technical Deployment: Architecture and the Vendor Landscape with James Masuoka

» See our full schedule
 

Ten Mistakes to Avoid The Baseline on MDM: Five Levels of Maturity for Master Data Management.
Jill Dyché and Evan Levy offer an MDM taxonomy that separates and describes discrete capabilities, helping you understand your company’s “as is” environment to help you accelerate toward your “to be” objectives for master data.
» Read the White Paper

A Data Governance Manifesto: Designing and Deploying Sustainable Data Governance.
Jill Dyché details the importance of establishing and maintaining a corporate-wide agenda for data and shares practical steps for getting started.
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Eight Steps to Align Business and IT.
Learn the Baseline approach and understand how alignment can be formalized into planning business intelligence initiatives, application development projects and data integration programs by allowing companies to align responsibility and accountability along the hemispheres of Business and IT.
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