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Timeliness : Is the data fresh? Validity : Does the data conform to a common syntax? vs. “avenue”) Accuracy : Is the information correct? Consistency : Is the data presented in a way that is the same as similar records? Bad data is a slippery slope to multiple points of failure: ROI numbers become skewed.
Accounting, financial tasks, Tally handles it all, including ad-hoc datamining and visualization. Your reporting needs are never-ending, and the need for ad hoc datamining and visualization is enormous. Explore visual datamining (deep dive); drill down, drill through, slice and dice data in tabular and graphs format.
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This comprehensive view requires more than the Tally ERP solution can offer in the way of datamining or user personalization. In Part II of the series, we discussed the benefits of integrating data from Tally ERP and other enterprise solutions into a single view within a BI system.
It is great to leverage the power of ad-hoc datamining and visualization and your users are probably dependent on this solution. But, if your organization is like every other business, your reporting and data analytical needs are never-ending, and data-driven, fact-driven analysis and decision-making is an imperative.
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Each business had multiple systems, databases and information sources. We had oceans of data we couldn’t compile OR measure. Could we find a BI solution to enable each business with meaningful metrics and allow management to compile and analyze all data? Some businesses were doing well; some were failing – no one knew why!
Effective decision-making processes in business are dependent upon high-quality information. That’s a fact in today’s competitive business environment that requires agile access to a data storage warehouse , organized in a manner that will improve business performance, deliver fast, accurate, and relevant data insights.
Business reporting needs are ever-changing and never-ending, and the need for ad hoc datamining and visualization is crucial. Executives need to monitor summary results and key performance indicators (KPIs), while sales managers may need information on weekly sales, targets, and receivables.
Data visualization turns raw data into accessible charts, graphs, and maps to help you share it, learn from it, and make data-driven decisions. But game-changing campaigns are only possible if visuals present information in the right way. It’s much easier to see the information on a smaller screen this way.
Business intelligence and analytics are data management solutions implemented in companies and enterprises to collect historical and present data, while using statistics and software to analyze raw information, and deliver insights for making better future decisions. Imagine you own an online shoe store.
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Does the idea of discovering patterns in large volumes of information make you want to roll up your sleeves and get to work? Moreover, companies that use BI analytics are five times more likely to make swifter, more informed decisions. Do you find computer science and its applications within the business world more than interesting?
A survey conducted by the Business Application Research Center stated the data quality management as the most important trend in 2020. It is not only important to gather as much information possible, but the quality and the context in which data is being used and interpreted serves as the main focus for the future of business intelligence.
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