Share with your friends

Data analytics for effecive decision making

Unlock the insights on business data

27 March 2019 - 28 March 2019, 8:30AM - 4:00PM, GST Dubai, United Arab Emirates


Course overview

This two day course helps you use predictive and prescriptive data analytics for effective decision making for managing risks and identifying cost saving opportunties. During the practical parts of the course, you will work on case studies from various industries and practically apply the skills learned. 

Who should attend

This course is designed for business professional dealing with large volumes of data, and intending to benefit from data driven decision making. It is also useful for professions consisting of but not limited to:

-Financial analysts

-Business analysts

-Planning analysts

-Financial controllers,

-Contracts and procurement managers

-Planning managers

-Cost controllers


-Risk officers and data analysts, especially in banking, energy, logistics, media, construction, hospitality and manufacturing industries


Participants who attend all sessions will be awarded a KPMG certificate of attendance.

Course fees*

Early bird offer (before 27 February 2019) - US$1,695

Participant fee - US$1,895

*Please note that the fee quoted is exclusive of VAT and the fee for the course shall be increased by the quantum of VAT, as applicable under the law.


To register online, please click here.



Connect with us


Want to do business with KPMG?


loading image Request for proposal

Day one Day two

Introduction of data analytics, its uses in the real business world

—Types of analytics and its business uses

—Three essential components for an effective analytics
—Analyzing latest trends
Success stories of companies and unleashing the potential from data insights
—Data is the next oil
—Research publications on success stories from Ivy League Business Schools
—Video illustrations on analytics sophistications

Introduction to predictive analytics
—Types of predictive analytics
—Rule books, guidelines and assumptions
—Use cases in the business world

Practical case studies: (require MS Excel with some Add-ins)

Recap of the concepts learnt and short assessment of predictive analytics
—Test your understanding

Using analytics to detect reporting manipulations in KPI, financial statements and balanced score cards

Case study: Detect manipulations using M score: Probit Regression Models

Introduction to prescriptive analytics
—Types of prescriptive analytics
—Success stories and cost savings enabled

Practical case studies
—Cost savings – product mix
—Optimal collection centers (banking)
—Minimizing logistics cost
—Optimal financial allocation


Short assessment on the topics learnt on prescriptive analytics
—Test your understanding