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Ten Reasons Why You Should Not Buy Microsoft Dynamics 365 Microsoft makes billions of dollars every year from this family of products. Implementations of Dynamics 365 often fail, with no compensation from Microsoft. When when they do succeed they become a vehicle for Microsoft to extract further large sums of money from their customers. |
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12 Questions To Ask Your Microsoft Dynamics 365 Supplier If you are thinking of buying Microsoft Dynamics 365, at least ask them some hard questions before you part with millions. |
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Blockchain: The Winners and the Losers This presentation is a few years old, and the problems raised here have become much worse. The main application of blockchain technology is "cryptocurrency" which drives the flow of money from poor people to rich people. It is designed to avoid the legal protections which exist for real currencies. It is enabling corruption at a high level in our societies, and with vast sums of money. It is a major, and completely unnecessary, contributor to the waste of precious energy and to the escalating damage that is being done to the earth's precious climate. |
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Database Design Should Be Agile I challenge the traditional approach in which database design is completed before any application development takes place. Incremental, agile database design produces far better results, with simpler databases that meet their users needs far more accurately. |
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Data Needs Testing Too Testing is often lacking, and what is done is almost always focused of program-testing. Data should be tested, not only before the system is released, but every day as new data arrives. It is not so difficult; this talk provides ideas to make it feasible. |
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How "Big" Ruins "Tech" The richest people in the world run Big Tech. They got so rich by focussing on "shareholder value". This is not in the customers' interest. Customers are deliberately misled, exploited and trapped. Competitors are demolished. Then the super-rich promote tyrants. We are in big trouble. |
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An Agile Data Warehouse Data Warehouses are normally seen as big, expensive, lengthy, waterfall projects, using complex and costly tools. This talk explains how to build successful data warehouses, with better results and lower costs, using an Agile approach. |
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Solving the Right Problems in Data Management. The amount of typing we have to do is not the issue; our biggest challenge is to understand the problem we are tasked to solve. Then, free and low-cost tools can provide a much more productive enviroment. |