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Case study on business intelligence tool

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The South African retail group is transforming a complex business with faster access to disparate data sets and more accurate reporting. People don't need three days training like you need with other BI products. If you work in Excel, you can use Pyramid, that's the bottom line. From its London headquarters, a leading commodity market analyst uses data across its global business to increase efficiencies and grow revenue. Pyramid allows all the data sitting in databases to be much more accessible. It gives us visibility very quickly and data in a usable form that is actionable.
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Business Intelligence

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White Paper - The Business Case For Business Intelligence

In my last post, I gave you a brief explanation of Business Intelligence if you missed the post you can read it here. But what has this got to do with the small business or the employee? I can tell you that Business Intelligence is not just for multinationals and large organizations. This Business intelligence case study shows it can help any size company. Joe worked for a small family-run organization.
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13 Analytics & Business Intelligence Examples Illustrating The Value of BI

While the core definition of business intelligence BI has remained relatively the same over the past years — using data to make good business decisions — how businesses use BI has changed quite a bit. Examples of business intelligence in use vary widely because, over the past two decades, BI technology transitioned from highly technical tools that expert teams use to more user-friendly , cloud-based software. This has made it more agile and accessible than ever before, leading to a proliferation of different BI use cases.
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When businesses make investments in new technologies, they usually do so with the intention of creating value for customers and stakeholders and making smart long-term investments. This is not always an easy thing to do when implementing cutting-edge technologies like artificial intelligence AI and machine learning. Artificial intelligence and machine learning have certainly increased in capability over the past few years. Predictive analytics can help glean meaningful business insights using both sensor-based and structured data, as well as unstructured data, like unlabeled text and video, for mining customer sentiment. This recent shift has made an array of advanced analytics and AI-powered business intelligence services more accessible to mid-sized and small companies.
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