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Business Performance Metrics

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AppropriateRubellite
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Questions and Answers

What is the primary purpose of Key Performance Indicators (KPIs)?

To signify a strategic business goal or objective

What type of analytics identifies the reason an event occurred?

Diagnostic analytics

What is the primary function of predictive analytics?

To make predictions about future outcomes

What type of analytics uses data optimization, simulation, and decision analysis methods?

<p>Prescriptive analytics</p> Signup and view all the answers

What is the primary difference between metrics and KPIs?

<p>Metrics focus on specific business processes, while KPIs focus on strategic business goals</p> Signup and view all the answers

What type of analytics helps to understand what happened?

<p>Descriptive analytics</p> Signup and view all the answers

What is the main purpose of data analytics?

<p>To understand and improve business performance</p> Signup and view all the answers

What is the primary goal of setting realistic targets for KPIs?

<p>To monitor and adjust business strategy</p> Signup and view all the answers

What type of analytics uses historical data and statistical modeling techniques?

<p>Predictive analytics</p> Signup and view all the answers

What is the relationship between prescriptive analytics and other types of analytics?

<p>Prescriptive analytics draws from inputs from descriptive, diagnostic, and predictive analytics</p> Signup and view all the answers

Study Notes

Key Performance Indicators (KPIs)

  • KPIs signify a strategic business goal or objective and measure success in achieving that goal

Business Metrics

  • Metrics track the performance of specific business processes

Defining and Measuring KPIs

  • Identify critical aspects of the business
  • Set realistic targets
  • Monitor KPIs effectively

Types of Data Analytics

Descriptive Analytics

  • Analyzes historical and current data to spot trends and relationships
  • Helps understand "What happened?"

Diagnostic Analytics

  • Identifies the reason an event occurred
  • Helps discover hidden correlations and connections between variables
  • Determines causal relationships, detects anomalies, and isolates patterns
  • Answers "Why did this happen?"

Predictive Analytics

  • Makes predictions about future outcomes
  • Relies on historical data and employs statistical modeling and data mining techniques
  • Answers "What might happen in the future?"

Prescriptive Analytics

  • Employs data optimization, simulation, and decision analysis to recommend the optimal course of action
  • Draws inputs from descriptive, diagnostic, and predictive analytics
  • Guides on "What you should do next"

Challenges in Implementing Business Intelligence (BI)

  • Data inconsistencies
  • Security breaches
  • Compliance issues
  • Finding the right software
  • Resistance to change
  • Identifying relevant KPIs

Overcoming Challenges

  • Align BI strategy with clear goals and objectives
  • Invest in data governance and quality management
  • Foster a culture of data-driven decision-making

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