Get the skills to turn data into revenue.

Develop essential skills to monetize data effectively. Understand the pivotal role of data in shaping business strategies, enabling you to adjust and evolve with current and emerging trends. Immerse yourself in the dynamic landscape of data-driven management. Be more than a manager, become a leader who harnesses data insights, translates trends into tangible action, and propels business growth. Master the power of data and transition into a future-ready, data-savvy professional.

Learn how data is driving strategy and how you can change and adapt to evolving and emerging trends. Get into the mindset and apply the characteristics of data-driven management.

Overview

Whether you want to attract new customers, improve products, forecast sales or streamline operations, your decisions are much more effective when you put data to work for you.

What will you get when you use data to drive strategy? Higher revenue, and reliable and consistently predictable business results. Insights that become new ways of doing business. Quick and effective strategies to proactively navigate change.

This AMA-2177: Using Data to Drive Strategy course is your ticket to shift to higher gear and elevate you and your team to rise to a new level of success.

Skills Covered

  • Understanding how data is driving strategy
  • Changing and adapting to evolving and emerging trends
  • Getting into the mindset and applying the characteristics of data-driven management
  • Building a team that’s highly curious, pragmatic and open to new ideas
  • Taking a systematic approach to data: framing the question, finding and shaping the data, and selecting the right variables
  • Comprehending data, big data, artificial intelligence and machine learning
  • Choosing the right data to track your key performance metrics and support your decisions
  • Using basic data analysis tools to interpret data sets
  • Extracting business insights using descriptive statistics, predictive analytics and descriptive analytics
  • Building business models and communicating results: decision and forecasting models, performance dashboards
  • Communicating complex analysis and ideas using tools and techniques
  • Framing results that drive decisions
  • Understanding decision-making traps and biases
  • Practicing making data-driven decisions
  • Setting data-driven objectives: prioritizing data, translating data into measurable metrics, selecting KPIs, setting objectives, forecasting, and assessing risks
  • Building a data-driven team: recognizing and overcoming barriers to adopting a data-driven management culture
  • Applying strategies to facilitate personal and organizational change

Prerequisites

Course Requirements: MS Windows-based laptop with working browser to connect to the Internet via WiFi network; as well as a minimum of Excel 2019 or 365 for PC installed.

Target Audience

Non-technical managers who want to take advantage of data as a tool to make evidence-based decisions.

Course Curriculum

Module 1: Learning Objectives

  • Explain How Data-Driven Technologies Are Changing How Organizations Interact with Customers and Employees
  • Describe How Data-Driven Technologies Are Changing Roles
  • Use Desktop Tools Like Excel to Analyze Data Obtained from a Variety of Sources to Answer Business and Performance Questions
  • Build Robust Business Decision Models
  • Communicate Analytic Information More Effectively
  • Use Data to Set Direction for Your Own Business Units and Teams

Module 2: How Data Is Driving Strategy

  • Explain Key Trends in Data and Technology and How They Are Changing Organizations—the 4th Industrial Revolution
  • Describe How Exponential Change Is Impacting Organizations
  • Identify Ways That Technology and Data Access Are Driving Business Strategy and Competitive Tasks

Module 3: Why Data-Driven Decision Making?

  • Why Data-Driven Decision Making?
  • Understand Decision-Making Traps and Bias
  • Recognize Personal and Organizational Barriers to Change
  • Develop Leadership Strategies to Facilitate Change

Module 4: Taking a Systematic Approach to Data

  • Utilize How to Use the DASA Model to Think Systematically About Data
  • Set Priorities for Data Analysis for Data Analysis
  • Recognize the Types of Data You Use
  • Locate Where to Find the Data You Need
  • Prepare Data for Analysis

Module 5: Data, Big Data, and AI

  • Identify the Data You Will Use to Track KPIs
  • Use Basic Data Analysis Tools Available in Desktop Applications to Analyze Data Sets of Up to One Million Records
  • Select the Right Tools for the Questions You Need to Answer
  • Define Big Data and Explain the Various Types
  • Compare AI and Machine Learning and Describe How Each Is Applied

Module 6: Building Models and Communicating Results

  • Use Data to Make Predictions
  • Build Decision Models
  • Create Performance Dashboards
  • Use Best Practices to Help Communicate Complex Analysis and Ideas

Module 7: Making Data-Driven Decisions

  • Use Data to Support Decisions
  • Use Tools and Techniques to Communicate Data and Analysis More Effectively

Module 8: Setting Data-Driven Objectives

  • Prioritize Data Needed to Support Objectives
  • Utilize Techniques to Translate Customer and Business “Wants” into Metrics You Can Measure and Analyze
  • Select Data for KPIs
  • Utilize Best Practices to Set Data-Driven Objectives
  • Utilize Data-Driven Objectives to Forecast and Assess Risk

Module 9: Building a Data-Driven Team

  • Identify the Kinds of Challenges You Will Face When You Begin to Change Your Behavior and Your Team
  • Identify Tools and Techniques You Can Use to Help Facilitate Personal and Organizational Change
  • Recognize and Overcome Organizational and Business Barriers to DataDriven Decision Making

Dates & Locations

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Exam & Certification

This course is not associated with any Certification.

Training & Certification Guide

AMA-2006: Advanced Tools and Techniques for Data Analysis

In this hands-on AMA-2006: Advanced Tools and Techniques for Data Analysis course, you will cover a variety of analytics tools, such as histograms, ANOVA analysis, A/B testing, Pareto analysis, clustering, box plots, scatter diagrams, partitioning, unstructured text analysis, and multivariate regression analysis. Best of all, no background in statistics or programming is required.

AMA-2162: Developing Your Analytical Skills: How to Research and Present Information

Quickly synthesize qualitative data, determine implications, and make informed decisions.

In this course, you’ll learn the basics to implement a process for data analysis that ensures you’re focusing on the most critical information, involving the right people, and conveying your message in terms your audiences will understand.

AMA-2209: AMA: Strategy Execution: Getting It Done

Whether it’s entering new markets, repositioning, outsourcing, or undertaking new initiatives or technology, execution of strategic goals is often a graveyard of good intentions. A recent strategy execution study of a broad group of leaders found that 65% of them do not consider their own organization successful at executing their strategies.

AMA-2546: Agile Leadership and Strategy

In a shifting business environment, it’s the agile and resilient organizations that have a much better chance to survive—and even to thrive. With future orientation and entrepreneurial focus, this course gives you the roadmap to seize new opportunities and bounce back even stronger from unforeseen changes.

AMA-2558: Analytical Thinking, Problem Solving and Decision Making

Get powerful problem-solving skills to more successfully reason through business problems.

This seminar introduces you to fundamental thinking processes so that you can successfully analyze and solve a wide variety of business problems. Get these essential analytical thinking and problem-solving skills now to give yourself a powerful competitive and career advantage.

Developing Soft Skills for IT Success in Malaysia

Navigating the IT sector in Malaysia requires more than technical skills; it demands strong soft skills it Malaysia. This article outlines the key soft skills necessary for IT professionals in Malaysia to excel and provides insights into how to cultivate them effectively.

The Power of Effective Communication in Malaysia’s IT Projects

The article emphasizes the significance of effective communication in ensuring the success of IT projects in Malaysia. It highlights essential communication skills such as using clear and concise language, practicing active listening, and maintaining cultural awareness. The article also explores overcoming communication barriers through project management tools and messaging applications.

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