Learn to create value by turning data and digital technologies into action.
Our Digital Transformation Center of Excellence offers three ways to engage: Evaluation, Education and Events. For more information, please contact Joey Lewandowski at +1 212-532-3880.
Learn how our AI subject matter experts can help you achieve your business goals.
EVALUATION
Benchmarking Studies and Evaluations
- A review of data, digital assets, processes, and operations to assess your organization’s current status in each area and a review of existing plans for growth. We’ll offer strategic-level recommendations for improvement and adjustments.
Data Governance Audits
- A review of corporate policies and activities surrounding data — including the treatment and valuation of data as a corporate asset, privacy management, security, overall data hygiene, etc. — with strategic-level recommendations for direction and improvement.
Digital Readiness Assessments
- An internal review conducted through interviews with key executives and managers alongside an examination of critical processes and operations to evaluate your organization’s readiness for agile responses to the rapidly-changing technologies that will impact business.
GDPR Compliance Audits for Companies Doing Business in the EU
- Europe’s General Data Protection Regulation (GDPR) has required U.S. companies to meet stringent data privacy rules since 2018. Our audit will verify compliance as well as identify gaps in corporate privacy policies.
Contact us for more information.
EVENTS
Inventing The Future Workshop and Roadmap
- The best way to predict the future is to invent it. After defining a set of ideation parameters that identify the areas of focus that need to be explored, this workshop is designed to help your organization apply domain expertise and business knowledge, then deliver a roadmap to get to the future your organization envisions.
Curated Lecture/Labs/Workshops
- A high-level executive session that introduces the fundamental principles of data science and leads executives through the data-driven thinking necessary for creating competitive advantage with data. The session gives an overview of big data, questions, and tools that data analysts and data scientists work with, and it offers a short exercise to help executives grasp the fundamentals of data-driven business.
Data Transformation Forums
- Sessions designed to help senior executives and their organization align around the strategic value of data, define sources and uses of data, and demonstrate value creation using the tools of data science. These forums are a closed-door, one- or two-day event (either on-site or off-site) where executives can have open and frank discussions with suppliers, vendors, partners, subject matter experts, and corporate peers.
Trade Show Experiences
- Maximize your time at trade shows (such as CES, Cannes, SXSW, MWC, and NAB) by taking a tech briefing floor tour or by participating in one of the breakfasts, cocktail parties, or dinners curated by The Palmer Group. These events provide executives with deep insights into consumer behavior and industry trends. Subject matter experts help identify and understand key technologies and services, differentiate offerings, and create action items and strategic takeaways from the show.
Contact us for more information.
EDUCATION
Digital Literacy Training
- A basic level course that introduces the fundamental principles of data science and machine learning that features an introduction to the data-driven thinking skills necessary for effective management in today’s fast-moving business environment. Learn More.
Data-Driven Media Sales Training
- A customized version of the Data Literacy course that highlights the impact of data on omnichannel media sales and conveys the insights and knowledge necessary for competitive consultative media sales. Learn More.
Data-Driven Decision-Making for Executives
- An executive-level course introducing the fundamental principles of data and machine learning, focusing on their application to strengthen corporate strategic and operational decisions. Learn More.
Data Solutions Certificate Program
- An introductory-to-intermediate level course that goes deeper into the principles and practices of data science, machine learning, data-driven thinking, and effective data management. This course leads to a completion test that awards the student a certificate in Data Solutions for Management. Learn More.
Management in the Age of Exponential Change
- A course and workshop designed to introduce managers to the tools and behaviors needed to identify and anticipate trends in rapidly evolving technology, as well as how to harness the change to create value and competitive growth. Learn More.
Introduction to Artificial Intelligence and Machine Learning
- A mid-level course that focuses on the fundamental principles of data science, AI, machine learning, and the rapidly-evolving tools and applications for enhancing today’s business and building future-thinking organizations. Learn More.
Managing Tech Teams For Non-Technical Managers
- Designed to give managers the insights and tools to hire and communicate with product designers, project managers, coders, and software engineers, this introductory course outlines the powerful new tools available to organizations through advanced data applications, open source software, API-driven product development, and more. Learn More.
Contact us for more information.
Digital Literacy Training
A basic level course that introduces the fundamental principles of data science and machine learning that features an introduction to the data-driven thinking skills necessary for effective management in today’s fast-moving business environment.
This course is appropriate for mid-to-senior managers and executives.
Objectives
- Provide familiarity of the fundamentals of data and digital technology
- Define the role of digital technology in the transformation of business and work
- Define data as a core asset and articulate the need for data governance
- Understand the role of data science and data scientific research in management
- Provide a defined common language and terminology to facilitate communications and the application of data to strategy and planning
Content
- Major data and digital technology trends impacting businesses and customers
- Examples and case studies of how businesses are applying digital and data to transform businesses and marketplaces
- Overview of data types, extract/transform/learn, data science, machine learning, and AI
- “Asking the right questions” exercise and how to apply that to management
- Data as a core asset
- Data governance
- How data is applied to business decisions and planning
- Identifying upcoming trends and issues that will change businesses
Contact us for more information.
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Data-Driven Media Sales Training
A customized version of the Data Literacy course highlighting the impact of data on omnichannel media sales and offering the insights and knowledge necessary for competitive consultative media sales.
This course is appropriate for middle-to-senior sales managers, account executives, sales operations managers, and sales executives.
Objectives
- Provide a fundamental understanding of data, its rapidly growing importance in the sales cycle, and the impact of data in customer identification and marketing
- Define and explore data types, data science, and AI in business
- Identify data sources in the sales chain and how they are used to impact buying decisions
- Define data as a competitive market tool
- Provide sales executives with the ability to compete in a data-driven sales engagement
Content
- Major data and digital technology trends impacting businesses and customers
- Examples and case studies of how businesses are applying data to transform the sales process and compete more effectively
- Overview of data types, extract/transform/learn, data science, machine learning, and AI
- “Asking the right questions” exercise
- Data as a core asset and privacy concerns in using data in and around products
- How data is being applied to customer definition, marketing, and sales cycles
- How different media compete with data, data-rich vs data-poor sales, and how to win
- Where data can be found and used in each media distribution system: a close look at the digital programmatic evolution and how it applies to other media
- Current and upcoming trends and issues in data-driven media sales
Contact us for more information.
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Data-Driven Decision-Making for Executives
An executive-level course introducing the fundamental principles of data and machine learning, focusing on their application to strengthen corporate strategic and operational decisions.
This course is appropriate for senior managers and executives.
Objectives
- Provide senior-level familiarity of the fundamentals of data and digital technology
- Define the role of data in the transformation of business and competitive market positioning
- Define data as a core asset and outline the need for data governance
- Understand the role of data science and data scientific research in decision making
- Provide executive-level insights into strategic data directions that must be considered in planning and operations
- Provide a common language and terminology for the executive team to facilitate the creation of competitive data-centric strategies
Content
- Major trends in digital and data technologies that are impacting businesses and executives must embrace
- Examples and case studies of how businesses are applying digital technology and data to transform businesses and marketplaces
- Data types, extract/transform/learn, and data science overview
- “Asking the right questions” exercise
- Machine learning and AI as management decision tools
- Data as a core asset and corporate data governance policies and strategies
- How data is applied to business decisions and planning: tools and techniques to activate data in all aspects of the business
- Current and upcoming trends in data that impact executive-level decision making and strategies
Contact us for more information.
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Data Solutions Certificate Program
An introductory-to-intermediate level course that goes deeper into the principles and practices of data science and machine learning, data-driven thinking, and effective data management. This course leads to a completion test that awards the student a certificate in Data Solutions for Management.
This course is appropriate for mid-to-senior level managers and executives.
Objectives
- Provide a deeper working knowledge of data, data systems, machine learning, and digital technology
- Define the role and impact of data and data science in the transformation of business and work
- Prepare the student to become an internal leader for activating data through definition and implementation of data science as a strategic asset and a competitive market tool
- Prepare for completion of the Data Solutions for Management Certification Exam
Content
- Major data and digital technology trends impacting businesses and customers
- Examples and case studies of how businesses are applying digital technology and data to transform businesses and marketplaces
- Data types, extract/transform/learn, and data science in action
- “Asking the right questions” exercise and how to apply it in planning and operations
- Machine learning and AI applied to business activities as a management decision tool
- Data as a core asset and implementation of corporate data governance policies and strategies
- How to track and communicate data trends and their potential impact as a resource for corporate growth
- How to apply data to activate business decisions and planning
Contact us for more information.
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Management in the Age of Exponential Change
A course and workshop to introduce managers to the tools and behaviors needed to identify trends in rapidly evolving technology, as well as how to harness that evolving technology for competitive growth.
This course is appropriate for mid-to-senior level managers and executives.
Objectives
- Provide a deeper working knowledge of data, data systems, machine learning, digital technology, and software engineering
- Provide a framework for understanding technological change and its impact on business and markets
- Equip managers to incorporate technological forecasting in planning and strategies and communicate them effectively
Content
Contact us for more information.
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Introduction to Artificial Intelligence and Machine Learning
A mid-level course that focuses on the fundamental principles of data science, artificial intelligence (AI), machine learning, and the rapidly-evolving tools and applications for enhancing today’s business and building future-thinking organizations. This course is appropriate for mid-to-senior level managers and executives.
Prior to taking this course, the student should have completed one Data Literacy course (or equivalent).
Objectives
- Provide working knowledge of the fundamentals of data and digital technology with special focus on AI and machine learning
- Define the role and impact of machine learning, natural language understanding, cognitive computing, and general artificial/augmented intelligence in the transformation of business and work
- Define appropriate applications of AI and machine learning in specific company business areas
- Understand human/machine partnerships and the evolution of business and workforces
Content
- Major trends impacting technology and business
- Review of data types, extract/transform/learn, and data science
- Machine learning and AI applied to business activities as a management decision tool
- Examples and case studies of how businesses are applying AI and machine learning to transform businesses and marketplaces
- Types of AI and machine learning and where they apply in businesses
- Defining human/machine partnerships and how to optimize them
- How to apply AI and machine learning to activate business decisions and planning
- Provide an overview of the fundamentals of modern software engineering and how it impacts fast-moving businesses
- Define modern software techniques, tools, and the benefits they deliver to rapid growth companies
- Understand the application of modern software engineering and the build-vs-buy decision-making process
- Define the strategic benefits to companies that embrace modern software engineering
- Definition and examples of modern software engineering
- Offer examples of how the application of modern software engineering impacts and accelerates businesses
- Examine the software engineering tools and platforms, as well as how and where they apply
- Define “open source” and explain why it changes software development, staffing, and the future of code
- How to decide to use, apply, or specify modern software engineering in business projects
Contact us for more information.
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Managing Tech Teams For Non-Technical Managers
An introductory course for managers that highlights the powerful new tools available to organizations through advanced data applications, open source software, API-driven product development, and more, giving the student the insights and tools to use modern software as a competitive advantage. This course is appropriate for mid-to-senior level managers and executives.
Prior to taking this course, the student should have completed one Data Literacy course (or equivalent).
Objectives
Content
Contact us for more information.
Return to Course Catalog
For more information about our Digital Transformation Center of Excellence, please fill in the form below or contact Joey Lewandowski at +1 212-532-3880.
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