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Business analytics uses modern technologies to collect, organise, and analyse historical business data and leverages it to make informed strategic decisions. Structured and unstructured data are gathered from various sources and may include website traffic details, sales figures, market trends, customer behaviour, and survey results. This data is then examined to identify trends and patterns in past business performance metrics and other areas.
By identifying the root causes and triggers behind these observed trends and patterns, and using statistical techniques to spot the correlations between seemingly unrelated factors, business analytics provide detailed insights into what, how, and why of an organisation’s past performance. These insights help organisations in better understanding the causes and effects of various factors that affect the bottom line and make accurate predictions of a business’ cash flow, market trends, sales projections, growth prospects, and more. By extracting this information from an organisation’s historical data, business analytics allows decision makers to craft sound, well-reasoned strategies that guide the business towards achieving its goals.
Business analytics processes can be divided into the following four categories or techniques:
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