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They promise to revolutionize how we interact with data, generating human-quality text, understanding natural language and transforming data in ways we never thought possible. Tableau, Qlik and Power BI can handle interactive dashboards and visualizations. This article reflects some of what Ive learned. And guess what?
Here are a few business examples of this type of prescriptive analytics: Which marketing campaign is most efficient and effective (has best ROI) in optimizing sales? Which environmental factors during manufacturing, packaging, or shipping lead to reduced product returns? Which pricing strategies lead to the best business revenue?
For example, a computer manufacturing company could develop new models or add features to products that are in high demand. The Big Data ecosystem is rapidly evolving, offering various analytical approaches to support different functions within a business. DescriptiveAnalytics is used to determine “what happened and why.”
Descriptiveanalytics supplies the foundation of this approach, providing insight into past business performance by analyzing historical records. These conversational systems of interaction with data provide the context to answer questions based not only on what is being asked but by whom.
The industries that are users of embedded analytics are interesting. The Business Services group leads in the usage of analytics at 19.5 And Manufacturing and Technology, both 11.6 When visualizations alone aren’t enough to set an application apart, is there still a way for product teams to monetize embedded analytics?
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