Cognitive analytics and exploratory analysis

Define cognitive analytics. Determine 3 different business scenarios where an exploratory data analysis using cognitive analytics might be helpful. Using the different scenarios, determine internal and external data that might be useful in better understanding the relationship between the company and customers.

ANSWER

Cognitive Analytics

Cognitive analytics describes some diverse analytics mechanisms used to learn about different business-associated functions, including consumer outreach. Specific categories of cognitive analytics also are called predictive analytics, where data mining and other cognitive uses of information can result in predictions for business intelligence. Consequently, business professionals use cognitive analytics when discussing different uses of bid data for business intelligence. The general strategy here is that businesses gather or significant aggregate amounts of data from various sources. Specific software programs and other technologies are used to evaluate these in depth to present particular outcomes that help the business get a clear view of its internal procedures.

Different Business Scenarios and Internal Data

Information scientists utilize descriptive data analysis to evaluate and examine data sets and summarize their primary characteristics, typically using information visualization strategies. Some of the different business scenarios where this kind of evaluation with the help of cognitive analytics can help engage the healthcare industry. In such an institution, patients and other stakeholders can be informed of any changes happening within the organization through cognitive powered equipment. This tool can as well share personalized recommendations and other questions submitted by patients. The second scenario is in the finance department, where the cognitive powered equipment can share fact centered information to appropriate individuals.

The entertainment industry can use this tool in providing insightful data with coaches and personal trainers in reducing injuries that might occur during training sessions. On the other hand, some of the internal data that might help better acknowledge the relationship between the company and clients engage the customer’s necessary data, including education, income details, age, and gender. Psychographic data of customers, such as opinions and beliefs, can also be significant.