Introduction To Business Analytics 2023

How to Build a Profitable and Winning Company Using Business Analytics

What you'll learn

Acquire business acumen

Build a strategic plan of how your business (or your employer's business) can leverage data for superior performance

Be able to understand how to measure business performance

Learn from a professional with a proven track record and valuable experience

Become familiar with modern business analytics techniques

Understand stakeholder mapping

Learn about end-to-end process mapping

Develop an understanding of the H2R, R2R, S2P , O2C end-to-end processes in a corporation

Identify key value drivers

Compare metrics vs KPIs

Define metrics

Perform benchmarking

Learn about the imoprtance of the Master Data function

Carry out historical analysis, variance analysis, trend analysis, value-based analysis, correlation, time series, regression, as well as machine and deep learning analysis

Acquire an understanding of how to manage an analytics project

Gain an understanding of what makes for a successful analytics project

Requirements

No prior experience is required. We will start from the very basics

Description

When can we say that a business is successful?Which are the techniques corporations use to monitor their performance?What makes for an effective analytics project?If these questions sound interesting and you want to learn about business analytics, then you’ve come to the right place.This course is an invaluable journey, in which we will layout the foundations of your superior business analytics skills. You will start developing abilities that are highly necessary in any type of business environment, but particularly so when working for a large blue-chip corporation -running a complex business.In this course, you will learn how to:- Define business expectations- Distinguish between a long-range plan and an annual business plan- Perform stakeholder mapping- Understand what business intelligence is and why it is essential for every modern company- Carry out end-to-end process mapping- Become familiar with the main types of end-to-end processes in a corporation: Hire-to-Retire (H2R), Record-to-Report (R2R), Order-to-Cash (O2C), Source-to-Pay (S2P)- Identify key value drivers- What are metrics and what distinguished metrics and KPIs- Perform internal and external benchmarking- Understand the importance of the Master data function- Carry out historical analysis, variance analysis, trend analysis, value-based analysis, correlation, time series, regression, as well as machine and deep learning analysis- Determine which is the most appropriate type of analysis depending on the problem at hand- Acquire an understanding of how to manage an analytics project- Gain an understanding of what makes for a successful analytics projectAll of this will be taught by an instructor with world-class experience. Randy Rosseel has worked in the Coca-Cola ecosystem for a bit more than 16 years. He has been a business controller, а senior manager of planning and consolidation, an associate director of planning and performance management; and, ultimately, a director of finance responsible for hundreds of employees.Each of the topics in the course builds on the previous ones. And you risk getting lost along the way if you do not acquire these skills in the right order. For example, one would struggle to understand how to identify KPIs if they are not introduced to Stakeholder and end-to-end process mapping first.So far, we have not seen other comparable training programs online. We believe that this is a unique opportunity to learn from a proven professional who has 360 degrees view of the analytics processes in one of the most recognizable companies in the world.What you getA well-prepared and structured business analytics trainingActive Q&A supportCourse notesHands-on exercisesQuiz questionsAll the knowledge to apply analytics in a business contextA certificate of completionAccess to all future course updatesAnd we are happy to offer an unconditional 30-day money-back in full guarantee. No risk for you. The content of the course is excellent, and this is a no-brainer for us, as we are certain you will love it.Why wait? Every day is a missed opportunity.Click the “Buy Now” button and become a part of our business analytics program today.

Overview

Section 1: Setting the scene

Lecture 1 What does the course cover?

Lecture 2 Managing expectations of different stakeholder groups

Lecture 3 Preparing an annual business plan and a long-range plan

Lecture 4 Analytics vs analysis

Section 2: Understanding your business

Lecture 5 Section intro

Lecture 6 Stakeholder mapping

Lecture 7 Defining business intelligence

Lecture 8 End-to-end process mapping (part 1)

Lecture 9 End-to-end process mapping (part 2)

Section 3: An in-depth view of end-to-end processes in a corporation

Lecture 10 Hire-to-retire (H2R)

Lecture 11 Source-to-Pay (S2P)

Lecture 12 Record-to-report (R2R)

Lecture 13 Order-to-Cash (O2C)

Lecture 14 Global process owners - Conclusion

Section 4: Target setting

Lecture 15 Identifying a firm's key value drivers

Lecture 16 Metrics vs KPIs

Lecture 17 Define your metrics

Lecture 18 The benchmarking exercise

Lecture 19 The importance of data

Lecture 20 The master data governance function

Section 5: Maturity stages in analytics

Lecture 21 Section intro

Lecture 22 Descriptive analytics

Lecture 23 Diagnostic analytics

Lecture 24 Predictive analytics

Lecture 25 Prescriptive analytics

Section 6: Analytics techniques in practice

Lecture 26 Section intro

Lecture 27 Trend analysis

Lecture 28 Trend analysis in Excel

Lecture 29 Comparative analysis

Lecture 30 Comparative analysis in Excel

Lecture 31 Value-based analysis

Lecture 32 Value-based analysis in Excel

Lecture 33 Correlation analysis

Lecture 34 Correlation analysis in Excel

Lecture 35 Time series analysis

Lecture 36 Time series analysis in Excel

Lecture 37 Regression analysis

Lecture 38 Regression analysis in Excel

Lecture 39 Machine learning analysis

Lecture 40 Natural language processing

Lecture 41 Analytics in practice - Conclusion

Section 7: Analytics life cycle

Lecture 42 Section intro

Lecture 43 Hypothesis development

Lecture 44 Situational analysis

Lecture 45 Building a RACI matrix

Lecture 46 What makes for a successful project?

Lecture 47 Current state analysis

Lecture 48 Blueprint and design

Lecture 49 Build and test

Lecture 50 Build and test: Step-by-step

Lecture 51 Deploy and operationalise

Section 8: Data visualization

Lecture 52 Data visualization

Section 9: Practical case study

Lecture 53 Practical case study (part 1)

Lecture 54 Practical case study (part 2)

Lecture 55 Completing 100%

People who want a successful career in Business,Business executives,Ambitious managers,Individuals who want to start their own company, but have not had the necessary business training,Business intelligence analysts,Financial analysts,Anyone who wants to understand how to measure business performance