Data-driven Decision Making
- 12 Courses | 7h 15m 1s
- 12 Books | 48h 11m
- 2 Audiobooks | 14h 49m 41s
Data-driven Decision Making (DDDM) is a multi-phased process that relies on leveraging verifiable data to guide decision making and develop strategies to influence a successful outcome. Learn how the success of this data-driven approach is reliant upon the quality of the data gathered and the effectiveness of its analysis and interpretation.
GETTING STARTED
Framing Opportunities for Effective Data-driven Decision Making
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55s
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5m 1s
COURSES INCLUDED
Framing Opportunities for Effective Data-driven Decision Making
Framing opportunities for effective data-driven decision making involves documenting a specific opportunity and desired business outcome. This helps to ensure that you focus resources on the right analysis, at the right time, and with the right approach. In this course, you will learn how to frame a problem by asking the right questions. You'll also learn about identifying and testing assumptions. Finally, you'll learn how to create an effective problem statement. This course was developed with subject matter provided by the International Institute for Analytics. (www.iianalytics.com)
6 videos |
23m
Assessment
Badge
PMI PDU
Working with Data for Effective Decision Making
High-performing enterprises employ purpose-based data sourcing to effectively address well-framed business opportunities. In this course you'll learn how to identify, scope, and validate data for effective decision making. This course was developed with subject matter provided by the International Institute for Analytics. (www.iianalytics.com)
6 videos |
22m
Assessment
Badge
PMI PDU
Guiding the Analysis for Effective Data-driven Decision Making
Selecting an appropriate analysis method to best address the business opportunity and solve your identified problem is critical to effective data-driven decision making. In this course, you'll learn about analytics categories, business intelligence, selecting an appropriate analytical method, and evaluating and refining your analysis. This course was developed with subject matter provided by the International Institute for Analytics. (www.iianalytics.com)
6 videos |
25m
Assessment
Badge
PMI PDU
Motivating Action with a Compelling and Data-driven Story
The right story narrative can persuade and enable company leadership to make smart, informed and intentional decisions about their business. In this course, you'll learn how to build a compelling, data-driven story that adequately answers the framed problem, and motivates action among key stakeholders. This course was developed with subject matter provided by the International Institute for Analytics. (www.iianalytics.com)
6 videos |
24m
Assessment
Badge
PMI PDU
Preparing Impactful Presentations that Drive Decision Makers to Action
Just as some people prefer paper to electronic books, different people prefer different presentation approaches. In this course you'll learn how to identify and develop effective and suitable presentation materials to communicate your intended message and drive business action. This course was developed with subject matter provided by the International Institute for Analytics. (www.iianalytics.com)
6 videos |
20m
Assessment
Badge
PMI PDU
Positioning Powerful Messages to Enable Action
Delivering a powerful message requires the message to be succinct, clear, and compelling. Even if a presentation looks great, has all the facts right, and is based on a lot of solid work, it isn't enough. In this course, you will learn about best practices to ensure your message is effectively positioned for your target audience to enable action. This course was developed with subject matter provided by the International Institute for Analytics. (www.iianalytics.com)
6 videos |
20m
Assessment
Badge
Developing an AI/ML Data Strategy: Building an AI-powered Workforce
Building a successful data team is a key part of a data strategy. To build proper data teams, it's important to know how they are structured and the roles of each member. Through this course, learn how to build an AI-powered workforce with a data team. Discover the need for an AI-powered workforce and three main structure types of a data team. Learn how to determine which strategy is preferable for a data team. Next, explore the potential shifts in job roles and responsibilities due to AI integration, the role of managers in driving AI adoption and change management, and strategies for fostering a culture of innovation and AI awareness within the workforce. Finally, explore the roles of data team members, how to evaluate an organization's strategy, and how to move an organization toward a data-driven culture. After course completion, you'll be able to outline the functions and best practices for a data team.
11 videos |
45m
Assessment
Badge
Fundamentals of AI & ML: Introduction to Artificial Intelligence
Artificial intelligence (AI) provides cutting-edge tools to help organizations predict behaviors, identify key patterns, and drive decision-making in a world that is increasingly made up of data. In this course, you will explore the full definition of AI, how it works, and when it can be used, focusing on informative use cases. You will identify the types of data, as well as the tools and technologies AI uses to operate. Next, you will discover a framework for using the AI life cycle and data science process. Then you will examine how data science, machine learning (ML), and AI are relevant in the modern business landscape. Finally, you will investigate the key differences between AI and traditional programming approaches, the benefits and challenges associated with integrating AI and ML into business approaches, and the potential impact of AI on job roles and workforce dynamics. Upon completion of this course, you'll be familiar with common concepts and use cases of artificial intelligence (AI) and be able to outline strategies for each part of the AI life cycle.
15 videos |
1h 4m
Assessment
Badge
PMI PDU
Developing an AI/ML Data Strategy: The Data Analytics Maturity Model
Data analytics is used across various industries to help companies make better-informed business decisions. Data analysts capture, process, and organize data in addition to establishing the best way to present that data. Through this course, learn about the uses and benefits of data analytics and the tools to leverage it. Examine the data analytics maturity model and compare the descriptive, diagnostic, predictive, and AI types of data analytics. Next, discover how data analytics can be used across teams and the benefits it offers. Finally, discover the different types of tools designed for data storage, cleaning, visualization, analysis, and collaboration. Upon completion, you'll be able to outline what data analytics is and list common data science tools.
10 videos |
39m
Assessment
Badge
Developing an AI/ML Data Strategy: Data Management & Governance in AI
The rapidly growing fields of data analytics and artificial intelligence (AI) offer immense advantages to individuals and society. Nevertheless, there are also challenges related to data management and governance within the context of AI. Begin this course by exploring the practical knowledge and skills necessary for effective data management and governance in the context of AI projects. Discover how data quality, integrity, availability, and adherence to governance frameworks are crucial in AI projects. Next, examine data lineage, data privacy regulations, and data accessibility. Then focus on the risks of incomplete or biased data and methods for handling large and complex datasets. Finally, investigate metadata management, managerial responsibilities in data governance, and ethical considerations in data usage. At course completion, you will be able to effectively manage data in AI projects and navigate the complex landscape of AI and data analytics with a strong foundation in data management and governance principles.
14 videos |
1h 1m
Assessment
Badge
Developing an AI/ML Data Strategy: Data Analytics & Data Ethics
Growing fields of data analytics and artificial intelligence (AI) provide many benefits to individuals and society, but also raise ethical concerns regarding privacy, transparency, and bias. How can organizations collect, store, and use data ethically, and what ethical safeguards must be maintained? Through this course, learn about data ethics and its importance in AI. Explore the concept of data ethics and a manager's role and responsibility to maintain ethical standards on their team. Next, discover the key principles and considerations for data ethics in AI. Finally, learn about data ethics frameworks that are used across a variety of industries. After course completion, you'll be able to identify the importance of data ethics and its concerns and best practices.
8 videos |
38m
Assessment
Badge
Developing an AI/ML Data Strategy: Aspects of a Robust AI Strategy
In today's artificial intelligence (AI)-driven landscape, it's vital to recognize the ethical dimensions of AI implementation. This course covers essential aspects of AI strategy, including defining its components, understanding the leadership role, and conducting readiness assessments. You will also explore implementation challenges, use case identification, alignment with existing technology, and setting success metrics. You will discover how to leverage agile methodologies and business model impacts. Finally, you will learn to analyze case studies, clarify managerial responsibilities, and promote cross-functional collaboration in AI initiatives.
14 videos |
48m
Assessment
Badge
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Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.
Digital badges are yours to keep, forever.BOOKS INCLUDED
Book
MIT Sloan Management Review on Data-driven Decision MakingIn this collection of articles from MIT Sloan Management Review, you'll discover how you decide which data is worth paying attention to and which is just noise and that solving that riddle is the key to better decisions.
40m
By MIT Sloan Management Review
Book
MIT Sloan Management Review Article on Leading With Decision-Driven Data AnalyticsThis article from MIT Sloan Management Review data analysts often fail to produce insights for making effective business decisions, but that's not their fault. Leaders need to make sure that data analytics is decision-driven.
6m
By Bart de Langhe, Stefano Puntoni
Book
MIT Sloan Management Review Article on Data, Not Digitalization, Transforms the Post-Pandemic Supply ChainIn this article from MIT Sloan Management Review, learn how digital-first enterprise success demands clarity-first supply chain design.
9m
By Michael Schrage
BOOK SUMMARY
Behind Every Good Decision: How Anyone Can Use Business Analytics to Turn Data Into Profitable InsightBehind Every Good Decision is for those who want to feel more comfortable using analytics so that they can comfortably lead their employees in a data-empowered organization toward great profit. In this Summary, we discuss the salient points of the book based on our interpretation of its contents.
9m
By Piyanka Jain, Puneet Sharma
Book
Actionable Web Analytics: Using Data to Make Smart Business DecisionsFor marketers and those who want to think like them, this engaging book should help put the emerging discipline of web analytics into the broader context of classic marketing and branding.
5h 7m
By Jason Burby, Shane Atchison
Book
Data-Driven Business DecisionsIncluding case studies that integrate simple ideas into the larger business context, this authoritative book reveals how to use data to understand the drivers of business outcomes, which in turn allows for data-driven business decisions.
10h 8m
By Chris J. Lloyd
Book
Big Data: Using SMART Big Data, Analytics and Metrics To Make Better Decisions and Improve PerformanceIllustrated with numerous real-world examples from a cross section of companies and organizations, this practical book will give you a clear understanding, blueprint, and step-by-step approach to building your own big data strategy.
2h 54m
By Bernard Marr
Book
Data Mining and Statistics for Decision MakingBeginning with basic principles, and progressing to more advanced topics, this book examines both classical and recent techniques of data mining, such as clustering, discriminant analysis, decision trees, Vapnik theory, naive Bayesian classifier, and more.
13h 34m
By Stéphane Tufféry
Book
The Decision Maker's Handbook to Data Science: A Guide for Non-Technical Executives, Managers, and Founders, Second EditionProviding you with the expertise and tools required to develop a solid data strategy that is continuously effective, this book will teach you how to think like a veteran data scientist and approach solutions to business problems in an entirely new way.
2h 40m
By Stylianos Kampakis
Book
Beginning Azure Cognitive Services: Data-Driven Decision Making Through Artificial IntelligenceThis book is for Technical professionals who are interested in implementing artificial intelligence (AI) in pre-existing apps, expanding their value and skill sets, or learning more about AI for personal projects.
3h 35m
By Alicia Moniz, Ginger Grant, Ida Bergum, Matt Gordon, Mia Chang
Book
Computational Leadership: Connecting Behavioral Science and Technology to Optimize Decision-Making and Increase ProfitsIn Computational Leadership, renowned leadership researcher Dr. Brian R. Spisak delivers a paradigm-shifting exploration of the use of simulations, network analysis, AI, and other computational approaches to fundamentally improve all aspects of leadership.
3h 40m
By Brian R. Spisak
Book
Responsible Business Decision Making: Strategic Impact Through Data and Dialogue, Second EditionMake impactful, responsible business decisions to improve financial performance, benefit society and protect the environment with this practical guide.
5h 29m
By Annemieke Roobeek, Jacques de Swart, Myrthe van der Plas
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AUDIOBOOKS INCLUDED
Audiobook
Behind Every Good Decision: How Anyone Can Use Business Analytics to Turn Data into Profitable InsightThis audio edition demystifies the process of business analytics and helps anyone move from data to decisions in just five steps...using only Excel as a tool.
5h 49m 1s
By Piyanka Jain, Puneet Sharma
Audiobook
Data Driven Business Transformation: How Businesses Can Disrupt, Innovate and Stay Ahead of the CompetitionThis audio edition provides the insight, knowledge and focus you require to transform your business - unlocking the power of data and revealing its hidden value.
9h 40s
By Caroline Carruthers, Peter Jackson
SKILL BENCHMARKS INCLUDED
AI/ML for Non-tech Learners
The AI/ML for Non-tech Learners benchmark measures your ability to recognize key terms and concepts related to artificial intelligence (AI) and machine learning (ML). You will be evaluated on your knowledge of the benefits of ML and AI, leveraging AI in projects, and ML methods. Learners who score high on this benchmark demonstrate that they have the skills related to AI and ML terminology and concepts.
10m
| 10 questions