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Dan Linstedt

Bill Inmon has given me this wonderful opportunity to blog on his behalf. I like to cover everything from DW2.0 to integration to data modeling, including ETL/ELT, SOA, Master Data Management, Unstructured Data, DW and BI. Currently I am working on ways to create dynamic data warehouses, push-button architectures, and automated generation of common data models. You can find me at Denver University where I participate on an academic advisory board for Masters Students in I.T. I can't wait to hear from you in the comments of my blog entries. Thank-you, and all the best; Dan Linstedt http://www.COBICC.com, danL@danLinstedt.com

About the author >

Cofounder of Genesee Academy, RapidACE, and BetterDataModel.com, Daniel Linstedt is an internationally known expert in data warehousing, business intelligence, analytics, very large data warehousing (VLDW), OLTP and performance and tuning. He has been the lead technical architect on enterprise-wide data warehouse projects and refinements for many Fortune 500 companies. Linstedt is an instructor of The Data Warehousing Institute and a featured speaker at industry events. He is a Certified DW2.0 Architect. He has worked with companies including: IBM, Informatica, Ipedo, X-Aware, Netezza, Microsoft, Oracle, Silver Creek Systems, and Teradata.  He is trained in SEI / CMMi Level 5, and is the inventor of The Matrix Methodology, and the Data Vault Data modeling architecture. He has built expert training courses, and trained hundreds of industry professionals, and is the voice of Bill Inmons' Blog on http://www.b-eye-network.com/blogs/linstedt/.

From where I stand (ok - sit).... I was on a plane this morning, and had the opportunity to view the captain’s cockpit for a brief while, while they ran through some of their pre-flight checks. As usual, my mind began to wander and ask the "what-if" questions, what if they didn't have a history of best-practices, how would they know what to check for pre-flight? Are all the gauges real-time or do some gauges offer "historical" data? How many of these gauges "manage data" for a single context? And then it hit me, all the gauges and knobs are really a "visualization" of the information they need to prepare for flight, fly, land, and do all the things a captain and co-captain need to do to move an air-plane through the air safely.

This entry is more about unanswered questions than it is about speculation. I'd love to hear about your experiences as management, executive level, or otherwise - and what you might do in this situation.

Well, that got me to thinking. I know cockpits are complicated, I can see that. It takes hundreds of hours (if not thousands) to learn to fly a commercial jet safely, to understand all the switches and knobs, and "heads-up" displays that constantly stream information at them. I started to reason: if getting a commercial pilots license requires all this training, should CEO's, executives, and board-of-directors also go through rigorous training? Where are the instructors for "running a company?"

I also began to wonder: what would happen if some of these fancy "real-time read-out displays" were not computerized, or visual? Maybe there's a pilot out there who can comment on what it's like to fly through a storm without visual aids, knowing what's up/down, or broken gauges that needed to be repaired.

I began to wonder - why isn't there a "cockpit" approach to running corporations? Would it or could it become that standardized? Is there a way to visualize all the information in a corporation? If you could visualize corporate business management in a cockpit manner, how would you describe the nature of the graphs, charts, landscape / horizon layouts? What kinds of knobs and dials would you have?

I began to think of the cockpit as Master Data Management (all data in the right place at the right time, attuned to the right purpose) for an airplane. Share with us how this might affect your visualization or MDM efforts.

Thanks,
Dan Linstedt


Posted March 13, 2006 8:58 PM
Permalink | 1 Comment |

1 Comment

Hi Hamed,

You can find a number of great resources on Data Mining, here on B-Eye network, or on www.TDAN.com. You can also find classes at TDWI.org.

I hope this helps,
Dan Linstedt

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