Data-driven Decision Making
November 2, 2021 2022-01-08 6:55Data-driven Decision Making
Data Driven Decision Making
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Course Duration
15 Days
15 Days
Course Duration
N150,000
Start Date
Oct 25 2021
Oct 25 2021
End Date
Oct 25 2021
Oct 25 2021
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Course Overview
We introduce frameworks and ideas that provide insights into a real world of business challenges, understanding your business better and create strategies for growth. We introduce frameworks and ideas that provide insights into a real world of business challenges, understanding your business better and create strategies for growth.
What You'll Learn
We introduce frameworks and ideas that provide insights into a real world of business challenges,
We introduce frameworks and ideas that provide insights into a real world of business challenges,
We introduce frameworks and ideas that provide insights into a real world of business challenges,
We introduce frameworks and ideas that provide insights into a real world of business challenges,
Course Outline
- Introduction to data-driven decision making
- Why data, why now?
- Origin of data-driven decision making and the technologies behind it
- Data context and digital transformation
- Benefits of data driven decision making
- Case Study
- Data Concepts and Key terms
- Data concepts
- Understanding targets
- Population and sample
- 4 Vs of big data
- Dealing with missing data
- Data types
- Describing data
- Identifying current data
- Relationship between variables
- Prediction types
- From Data to Patterns to Decisions
- How machine learning algorithms learn
- OFL explained
- Types of Learning
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Data driven organizations
- Five stages towards a data driven culture
- Attributes of data driven organizations
- Data-driven decision-making applications in business
- Descriptive
- Predictive
- Prescriptive
- Cognitive
- Snapshot of data-driven decision making in Business
- Examples of data-driven decision making in Banking
- Guide to start Data-driven decision making in your organizations
- 7 steps of data-driven decision making
- Define Objective
- Establish hypothesis
- Identify data need
- Build data process
- Collect data
- Analyze data
- Make decision
- Data-driven decision-making checklist
- Managing team members who are data averse
- Common pitfalls in data-driven decision making and how to address them
- Building a data-driven business culture
- 7 steps of data-driven decision making
- Data Visualization and Story Telling
- Importance of visualization to communicate insights from data
- The art of data story telling
- Data Visualization tools
- Drawing insights from Data Visualization dashboards
- Lab exercise: Extract key insights from Analytics dashboards
- Application of Types of Data Driven Decision Making in Banking
- Use case 1: Decide the best product or alternate channel to Cross-sell and up-sell to a customer
- Use case 2: Use Scenario’s for cost benefit analysis to determine the best course of action
- Capstone Project
