OK good theory, now to the nitty gritty. How much did it cost ot "target" the correct customers for the bank. Where did this data come form, and even more important did the data actually apply correctly to the 2 million mailouts.
For the Oil changing business. Who maintained the data in an afterhours setting, haw many overtime or second/third shift people now need to be added. When the server crashed at 7:43 pm and the HD physically burned out the data who was fired.
In other words I have been to many conferences and seen too many pep talks.
My grandfather taught me hard core.
Who, What, When, Where, Why? Now ask three others the same questions and you have scratched the surface of the costs and possibilities of problems and benefits.
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I agree with the article. The questions asked are used to achieve the results stated. Backup, backup and backup are the rules I learned well in the Navy and management. If the hd crashes and burns, you put in another hd, reload the data and carryon. If you are doing other than that.....you need to look at your procedures.
This article captures the essence of business intelligence. Any company unable to address the question posted in the article should begin to take a serious look at their data as an asset and looking for ways to extract that data in a timely and meaningful way.
Not a bad article. It raises good questions, but doesn't provide any resources for further study. I would like to see a list of vendors that I could check out on my own. It would also be beneficial to see a "Part 2" report on those companies thathave implemented a BI initiative. Specifically, some ROM cost figures; time to implement; support costs; infrastructure and operational changes; actual time to ROI, etc...
Given the competitive nature of business, you might not get much response from successful implementers, so how about a vendor comparison? Show us the vendors, products, product focus, plusses and minuses, costs, etc... and point us in the right direction.
Finally, where do BI and CRM overlap? What are their key differences and similarities? It seems that at times these terms can be used interchangeably. That could be a major obstacle when building a business case for upper management.
Given the competitive nature of business, you might not get much response from successful implementers, so how about a vendor comparison? Show us the vendors, products, product focus, plusses and minuses, costs, etc... and point us in the right direction.
Finally, where do BI and CRM overlap? What are their key differences and similarities? It seems that at times these terms can be used interchangeably. That could be a major obstacle when building a business case for upper management.
Hi there....
You suggested providing a list of resources
for further study... one vendor that you should check out is MicroStrategy, Inc.
You can read case studies on their website:
http://199.173.152.196/CustomerSuccesses/
Or just get a foundation layer understanding of Business Intelligence at
www.microstrategy.com/bisoftware.com
Good luck...
You suggested providing a list of resources
for further study... one vendor that you should check out is MicroStrategy, Inc.
You can read case studies on their website:
http://199.173.152.196/CustomerSuccesses/
Or just get a foundation layer understanding of Business Intelligence at
www.microstrategy.com/bisoftware.com
Good luck...
Mail shots never where that effective as they are too dependent on the accuracy of the list, hence the low response rate.
What is now called data mining was something I knew as "getting to know your customers."
The main problem was keeping tabs on all the information, It certainly taught you to use a card index.
With a computer network every department can share the information to their mutual advantage. The effective use of data is not something new, but something every sucessful firm took trouble over. What is new is the ability to sort and recover data much quicker than with a card index.
A computer is a tool to enable the work to be done quicker, like all tools it has to be used correctly in order to be fully effective.
What is now called data mining was something I knew as "getting to know your customers."
The main problem was keeping tabs on all the information, It certainly taught you to use a card index.
With a computer network every department can share the information to their mutual advantage. The effective use of data is not something new, but something every sucessful firm took trouble over. What is new is the ability to sort and recover data much quicker than with a card index.
A computer is a tool to enable the work to be done quicker, like all tools it has to be used correctly in order to be fully effective.
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