SkillPath Seminars
presents
Data-Driven Analytics for Beginners On-Site Training
This course can help by providing the fundamentals of effective business analytics, where it can be applied, where companies go wrong and what strategies you can use to start achieving greater returns on your organization’s investments.
Course Description/Agenda
Analytics is now the driving force for improved decision making and higher ROI for companies across the globe. Trusting your gut just won’t cut it anymore.
Even if you are using data to make business decisions, are you certain you’re accurately identifying your business needs? Are you mining the proper data and interpreting it correctly? If not, you run the risk of making bad business decisions.
Data-Driven Analytics for Beginners can help by providing the fundamentals of effective business analytics, where it can be applied, where companies go wrong and what strategies you can use to start achieving greater returns on your organization’s investments.
WHAT YOU WILL LEARN
- Understand why data literacy can give your company a competitive edge
- Accurately identify the business needs of your company
- Collect and store the right data for your organizational needs
- Explain how data mining is used to predict outcomes
- Learn ways you can help overcome resistance to using analytics
WORKSHOP AGENDA
Program time: 3 hours
Session 1: Gaining a Competitive Edge With Business Analytics
- List the characteristics of big data
- Understand how organizations benefit from big data
- Define the role of business analytics in improved decision making
- Explain how business analytics can reduce overall level of risk
- Describe the analytics life cycle and how it flexes
Session 2: Collecting and Storing the Right Data for Your Organizational Needs
- Discuss the importance of aligning business analytics with organizational goals
- Describe how to gather real underlying needs from stakeholders
- Explain how silos reduce the effectiveness of business analytics
- Understand why it’s important to differentiate data quality
Session 3: Using Data Mining to Make Informed Decisions Faster
- Describe the basic types of analytics, what they show and when to use them
- Define data mining and how it fits into analytics
- Explain how data mining is used to predict outcomes
- Learn ways you can help overcome resistance to using analytics
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