Well, visualization is one of the most powerful decision instrument beside raw figures. Data Visualization is vital part of Dashboard or Decision Support System. How is information visualized and presented definitely counts. Visualization simplifies and speeds decision making process. But visualization in dashboards also misleads. Misleads because it creates picture of integrated data and business logic. This is wrong perception…
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Business Intelligence solutions were invented to ease data gathering and publishing, to help with information interpretation. With implementation of business intelligence solution this process really happens. Users get much easier reports, information flow is much faster. After a while, users generate more and more different reports and data. BI users are creating information avalanche. At the end BI solutions are cluttered with information overload. At the end in mass of beneficial, main benefit of Business Intelligence is lost which was to reduce information clutter.
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Asking for new functionality always means two things: first is to implement functionality and second is to take care about the new content. Content maintenance is always hardest part to negotiate between departments in organizations. Who will have the monkey on the back to take care about. Sounds easy but maintenance is always hard nut. Especially if
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Data and Information are very often mixed like it is same synonim. It is not. Data are set of facts describing objects and their relations in space and time. Data can have usage value or not. This is the basic difference between data and information. Data becomes information when it brings news to user and grows his knowledge. Data with usage value is information and data becomes information happens with data processing by organizing and analyzing data. Information is received and understood message. Information is data placed in context while data is out of context.
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Whenever data or information flow disturbance appears in company inadequate reporting appears and as final result wrong knowledge on strategic level can be created. Information and data flow starts with entering data in transaction systems, production systems. Next step of flow is data export form production systems and data combining from one or more systems and shaping data for reporting purposes. Data in context in report create information. Final stage is making decisions upon properly prepared set of information and making conclusions and actions. It is crucial to recognize where are weak links in data and information flow and to diminish influence from inadequate company data and information flow.
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With introduction of DWH and BI lot of dirt below carpet is found, meaning many process errors in production systems are found. Not only dirt is found but also dead mice are found below carpet. When reporting errors are being communicated to production systems owners first reaction is treating the bad messenger as enemy. We do not have errors, why are you attacking us, you have made mistake and similar can be heard from respective owners and this is logical human reaction. After first negative shock they will start to cooperate on cleaning process errors, data quality and data flow improvement but first expect emotional fight.
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