Data Analysis for Smarter Business Decisions
Introduction
In today’s fast-changing business environment, leaders can no longer rely on instinct alone. Data has become the most powerful tool for making smarter, faster, and more effective business decisions. This highly interactive and applications-driven 5-day program empowers leaders, managers, and professionals to leverage **data analytics as a decision-support system**.
Through hands-on exercises, case discussions, and real-world applications, participants will learn how to turn raw data into meaningful insights, apply statistical thinking in daily operations, and confidently use evidence-based information to shape strategic initiatives, policies, and operational improvements.
By mastering the tools of data analytics, participants will be able to interpret findings accurately, recognise patterns, and apply data-driven insights for sustainable business success.
Objectives
By the end of this course, participants will be able to:
* Recognise the **strategic value of data analytics** in decision-making.
* Understand the **scope, structure, and applications** of data analytics in business.
* Apply a range of **analytical and statistical techniques** using Excel.
* Accurately **interpret and evaluate statistical evidence** for smarter choices.
* Identify practical opportunities to apply **evidence-based decision-making** in their organisations.
Course Contents
Day One – Setting the Statistical Scene in Management
* The quantitative landscape in modern management
* Thinking statistically: identifying meaningful KPIs
* The role of data: types, quality, and preparation
* Introduction to exploratory data analysis (Excel pivot tables)
* Using summary tables and visual displays to profile data
Day Two – Evidence-Based Observational Decision-Making
* Profiling numeric data with descriptors
* Central vs. non-central location measures
* Quantifying data dispersion and variability
* Examining distributions: skewness and bimodal patterns
* Exploring relationships between numeric descriptors
* Breakdown analysis of numeric measures
Day Three – Statistical Decision-Making: Drawing Inferences from Data
* The foundations of statistical inference
* Quantifying uncertainty with the normal distribution
* The importance of sampling and sampling methods
* Random-based sampling techniques explained
* The concept of sampling distributions
* Confidence interval estimation for managerial decision-making
Day Four – Hypothesis Testing for Better Decisions
* The logic and process of hypothesis testing
* Understanding Type I & Type II errors
* Single population mean tests
* Two independent population mean tests
* Matched pairs test scenarios
* A NOVA: comparing means across multiple groups
Day Five – Predictive Decision-Making & Data Mining
* Building predictive models using regression analysis
* The process of model development and evaluation
* Leveraging statistical relationships for better forecasts
* Introduction to data mining and its evolution
* Descriptive data mining applications in management
* Predictive (goal-driven) data mining for business leadership
Who Should Attend
This program is ideal for:
* Business leaders, managers, and executives who want to make **smarter data-driven decisions**.
* Professionals in operations, finance, HR, marketing, and strategy seeking to **integrate analytics** into daily work.
* Team leaders and supervisors responsible for **performance measurement and reporting**.
* Anyone who wishes to **transform raw data into actionable insights** for better business outcomes.
Enquiries and Registration
Enquiry at : admin@keleaders.com
Whatsapp: 0044 790 125 9494
For more details visit our website : www.keleaders.com
