Concept explainers
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Business intelligence and Business analytics:
Business intelligence refers to technologies, applications, infrastructures and tools that performance a main role in the planning process of the corporation.
- The set-up for analyzing data, reporting, warehousing and combining data from the business atmosphere.
- It gathers, stores, clean and makes appropriate data offered to managers. It consist of databases, data warehouses, and data markets...
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Elements of a Business intelligence environment:
- 1) Data from the business environment:
Different sources of organized and unorganized data, Internet and mobile devices are combined and used by the people decision makers.
- 2) Business intelligence infrastructure:
Strong
- 3) Business analytics tools:
Software tools used to examine data and send respond, reports to manager queries and use key pointers of presentation to follow a business growth...
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Analytic functionalities provided by Business intelligence systems:
- 1) Production reports
The predefined reports are constructed on business agree requirements.
- 2) Parameterized reports
An Operators enter numerous constraints in a pivot table to screen data and separate effects of the constraints.
- 3) Dashboards and scorecards
Visual tools is used to presenting records as created by users...
Explanation of Solution
Predictive analytics and location analytics with examples:
Predictive analytics is defined as an extracting data from existing data sets which is used for analysis of statistics, mining and for upcoming expectations to forecast future developments and performance designs. It comprises the skill to develop the future actions and performance for past events.
Two examples of Predictive analytics:
- 1) Predict age, gender, location and driving records in insurance policy companies to begin appropriate cost of plans.
- 2) Predict the customer response to the product depends on offers in the product by the retailers...
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Types of Business intelligence users:
- 1) Power users
Nearly 20 percent of employees in the groups of business analysts, IT developers, analytical modelers and super users who producing new analyses, models, reports and forecasts.
- 2) Casual users
Other 80 percent...
Explanation of Solution
Balanced scorecard method and business performance management:
Balanced scorecard method:
A senior manager can create the outline for operating a secure plan by concentrating on computable results on four views of the performance of organizations. They are business process, customer, financial, growth and learning. This method helps to increase the customer satisfaction, business process efficiency and improvement in the employee activities...
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Essentials of MIS (12th Edition)
- Explain how any business analytics classes you took had an impact on the group projects and/or tasks that you worked on in order to prepare you to contribute to the employer of your internship. What specific learning opportunities in the workplace did we have that assisted us in better comprehending the material that you presented in your coursework? During your time with us, can you think of any subjects or areas of expertise that, had they been included in the business analytics program, would have been of use to both you and us?arrow_forwardExplain the concept of predictive analytics in CRM. How can businesses leverage predictive analytics to enhance customer engagement and retention?arrow_forwardExplain the concept of CRM analytics and how it helps organizations derive actionable insights from customer data for strategic decision-making.arrow_forward
- Computer Science Question: Explain how any business analytics classes affect our group projects, and/or assignments helped to prepare you to contribute to your internship employer? What specific learning experiences did we have at the workplace that helped us to better understand your coursework? Identify subjects and/or knowledge areas that, if included in the business analytics Program, would have helped us during your internship?arrow_forwardExplain the concept of predictive analytics in CRM and how it can enhance customer engagement and retention.arrow_forwardWHAT WOULD A TYPICAL USAGE OF ANALYTICS DASHBOARD BE? a. Provide an "executive" but still interactive view of business data b. Communicate insights to shareholders c. Display fine-grained detail data for advanced analysis d. Run predictive analysisarrow_forward
- Analyze the challenges of handling unstructured data in big data analytics. Provide strategies for processing and extracting insights from unstructured data sources.arrow_forwardPlease explain the answers and explain why other options are not correct. Thank you!!arrow_forwardWhen comparing business intelligence with analytics, what do you find to be the most important difference?arrow_forward
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