COURSE HIGHLIGHTS

Business Analytics 101—What is it, and why is it important?

How business trends impact the way business analytics are practiced and applied

Understand the difference between business analytics and business intelligence

Where does big data fit in business analytics?

Organizational capabilities of the intelligent business

Understand how business analytics is a part of business intelligence and completes the sequence known as the BI value chain

Identify the ongoing analytics needs of your organization

The criteria business analytics must meet

Understand the business analytics life cycle

The process: Collecting and warehousing data

Identify where to begin

How to gather requirements from stakeholders using a variety of techniques and strategies

Information gathering: How to more effectively conduct individual and group interviews and develop questionnaires

The importance of accounting for the human element in business analytics

Business Analytics and Data-driven Decision Making

It’s all about the data

The relationship between information quality and data quality

Characteristics of quality data

Causes of poor data quality

The cost of poor data quality

The warehouse that data built

Data: Time, types and purpose—mining for information

Basic types of analytics

Use data mining to sift through and understand what data is relevant

Use the information from data mining to project outcomes and make informed decisions faster

Make more effective business decisions

Building a business case: A step-by-step process

Common reasons projects and proposals do not get approved

TRAINING DELIVERY

Pre-training: Tailoring and customization of content

Delivery of training using presentation, small group exercises, case studies, role-plays, games, etc.

Post-training: Follow-up within 30 days to review information, provide coaching, set goals, etc. (optional)

BUSAN Vol. I SP

OVERVIEW

The old business model of trusting your gut won’t cut it in today’s world. Business analytics (BA) is now the driving force for improved decision making and higher ROI for companies across the globe. Unfortunately, many companies slip up by not identifying their business needs properly at the start … or mining the wrong data … or interpreting the data incorrectly, leading to bad business decisions. The question is, could your company be doing the same thing? You will leave this course understanding the fundamentals of effective business analytics, where it can be applied, where companies go wrong and strategies you can start applying today to achieve greater returns on your organization’s investment in business analytics.

LEARNING OBJECTIVES

Discover how to be faster, more flexible and more proactive by using effective data mining to discover new patterns and relationships in your business

Gain cooperation and buy-in by clearly explaining why certain business results occur through statistical and quantitative analysis

Eliminate costly mistakes because you’ll know exactly why previous business decisions worked (or not)

Identify how to accurately forecast future results through predictive modeling and analytics so you’re not guessing and hoping for the best