Business Intelligence and Human Efforts
Often prejudice is that with installation of Business Intelligence there is no more need for manual work. Reality shows something completely different. Manual work is present, but is it smaller this is for discussion.
Without Business Intelligence it is always hard to maintain models and calculations. Any change that
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Throughout recent meetings I’ve witnessed thrill about upcoming Master Data Management solutions. “They will solve all generated problems”.
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Habit of code re-usage in Information Systems affects reporting consistency and makes significant impact on data quality. It is so easy to recycle code, but is it really necessary…
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If company insists on investigating every aspect of business intelligence reporting errors then we are talking about data forensic. It is mandatory to be aware about reporting mistakes that happened but too big focus on every detail of generated error (who made mistake, who signed, who defined process, was everything under procedure, what is the error impact and etc.)
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Here are several common mistakes made by data stewards and that might endanger data flows. Be careful about dates. Dates have to fit tightly to closing dates otherwise calculation of revenues or costs might break down. They cannot reference to historical or future dates, they have to match exactly to closing dates in
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Data Warehouse is not imune to changes on source systems, actually it is very vulnarable to them. If source systems have duplicate figures, Data Warehouse will also report duplicates. Here is an example from practice where guys made patch on CRM system to handle “urgent” marketing product without making any kind of communication toward reporting – DWH and Business Intelligence. Duplicated figures were in official reports for three months and caused significant deviations of core Key Performance Indicators. Unfortunatelly, reporting mistake was presented to the board members as Data Warehouse error.
Continue reading Business Intelligence Example of Reporting Errors – Duplication of Figures [...]
From time to time Data Warehouse might be in the center of user anger despite the fact it does not cause directly problems but it is in the middle. It is visual interface for users and therefore first in the line to suffer users anger. Data Warehouse is on the line of fire… Here are some issues that could be raised by data warehouse users: There is no mapping process of new products and services. There is no clear definition of methodological responsibilities. Who defines performance indicators or products?
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Knowledge integration means to connect information that are not possible to connect through information systems, at least not without huge efforts. Knowledge integration means to connect information sets with new relations, something that is not connectable with information intelligence but is possible with combination of experience, market knowledge, internal information flow and etc. When you simply just know that information are connectable…
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It is always tempting to implement quick win solution especially for master data management solutions. This means to implement whatever technical solutions can be to save time and money. Later it means to transfer content to other more advanced master data management solutions. There is also dark side of quick implementations and they are very similar to Trans Siberian railway project. Railway was planned to be made quickly without solid basis of stones for rails (rails were placed on soil), with poor iron rails that could not survive extremely low temperatures and similar. Speed has its price but also long implementation has its own price.
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Combination of all mentioned exports form information systems to knowledge management base with corporate documentation, processes and innovations is essential Decision Intelligence, basis for decision support system. Only adequately stuffed Decision Intelligence can create Competitive Intelligence.
Continue reading Knowledge Management and Business Intelligence Picture [...]