The onsite event registration is at the KTC Registration Desk, in front of the entrance to the conference room, located on the main convention floor of the hotel. Please follow the signs from the lobby to the convention floor.
HR Analytics Translator / 2 days of practical and interactive learning sessions
Seminar Focus:
This 2-day practical & interactive seminar helps HR Analysts, HRBPs and other HR professionals navigate, understand and effectively interpret data into actionable insights for Senior Management.
In particular, this course will help you gain key insight into:
→ What skills and competencies does HR Analytics Translator require
→ How to build a data-driven business with analytics translators
→ Find out whether you fit the profile of an analytics translator
→ Realize how quizzes drive results
→ Build your ready to present to management use-case during the training
The first ever HR Analytics Translator public seminar exclusively developed for Human Resources function
Seminar Overview:
In a 2018 publication in Harvard Business Review, McKinsey introduced the role of Analytics Translator. The Analytics Translator bridges the gap between data expertise on one hand and business expertise on the other hand. According to McKinsey, organizations now recognize that the success of analytics in an organization is not only determined by data scientists, but by cross-functional teams consisting of data engineers, data architects, data visualization experts, and ("perhaps most important"), Analytics Translators. Analytics Translators are not substituting data scientists or business managers, but rather act as liaisons, as connectors. The McKinsey Global Institute estimates that by 2026 the demand for Analytics Translators in the United States alone would have risen to between two and four million jobs.In his Analytics Translator programs, associate professor Sjoerd van den Heuvel PhD addresses questions such as What is an Analytics Translator? What skills and competencies are required? and How to build a data-driven business with analytics translators? Moreover, during the program, you (and your colleagues) build your own data analytics use-case you can present to your management. Sjoerd van den Heuvel is an experienced and inspiring trainer and international keynote-speaker who shares state-of-the-art insights on the Analytics Translator, actively interacts with your audience, and brings a good dose of humor to the stage. Since 2020, over 300 professionals from around the globe successfully participated in the Analytics Translator program. Are you ready to be inspired?
This seminar, while addressing the role of an Analytics Translator in a wider organizational context, is specifically designed and focused on the HR and People Analytics domain
This training course, throughout the 2 practical days filled with hands-on exercises, is different than most of the other AT courses, in a sense that it’s not aimed at a general, broad organizational structure. Instead, it is centered on the HR function and data & insights relevant and important to the HR.
The 2024 updated edition incorporates new case-studies based on the feedback from participants who attended this seminar in 2023 and 2022
Research shows that HR Analysts and HR Business Partners in particular are the population that require these crucial data-literacy skills, in order to convert and interpret the data into actionable intelligence, necessary for decision-making process. They play the critical role in this process and the aim of this course is to help them (and other HR professionals) master the use of data insights by becoming successful HR Analytics Translators.
Who Should Attend this Course?
→ HR Analysts
→ HR Business Partners
→ People Analytics Professionals
→ HR Managers & Team Leads
→ HR Project Managers
→ Business Managers and Analysts
→ Anyone interested in learning how to turn data insights into an actionable intelligence
Benefits of Attending for You as Participant
→ Develop critical thinking skills and mindset
→ Improve the depth and added value of the questions you ask to the business
→ Learning to unravel the true challenges behind a request from a manager; unraveling the essence of a business problem or opportunity
→ Growing your value in job market (must have role according to McKinsey)
→ Develop your multidisciplinary competencies (e.g., storytelling, descriptive analytics, inferential analytics, AI, business problem identification)
Benefits of Attending for your Manager / Department
→ Ready to implement use-case delivered
→ Fundamental skills developed among participants to identify and develop new use-cases
Benefits of attending for your Organization
→ Two-folded benefits: critical competencies developed among employees + delivery of ready to implement use-case
→ If multi-disciplinary team is sent to the training, development of interdisciplinary collaboration: precondition for successful deployment of use-case
Welcome ∙ by your ∙ Seminar Leader
Dear participant,
I am very excited to welcome you to my latest training course, which I have been developing over the last 4 years, encompassing some of the very best practices from dozens of companies and hundreds of people I have been working with, during and after the Covid19 pandemic.
I have developed this course to help HR professionals navigate the complex world of data analytics, with a goal to easily understand, manage and interpret data by turning insights into an actionable intelligence for senior Leaders.
This is the third consecutive HR Analytics Translator public seminar I am facilitating in Brussels, since October 2022, which speaks volumes in terms of how important and in demand this program is.
I am looking forward to meeting you in-person on October 23rd!
Warm regards,
Sjoerd van den Heuvel, PhD
Associate Professor & International keynote speaker
HU University of Applied Sciences Utrecht (Hogeschool Utrecht)
HR Analytics Translator / schedule
Morning Session
Welcome
Welcome and practicalities / defining the content
Knowledge
Data-driven business fundamentals
→ Inspirational examples of the application of advanced analytics and AI in various industries
→ Inspirational example from the industries of the participating organizations
→ The importance and urgency of analytics for both profit and non-profit organizations
→ The meaning of analytical buzzwords such as Artificial Intelligence, Machine learning, and predictive analytics
Analytics Translator Fundamentals
→ The role of Analytics Translator defined
→ Why the Analytics Translator is labeled by McKinsey as the new-must have role
→ Why the Analytics Translator is role and not a job title
Use-case development process
→ The 9-step approach in developing high-value use-cases
→ Why the analytics itself plays a minor role compared to business problem identification
→ How use-case development is embedded in the broader context of a data-driven business
→ The specific role and responsibilities of Analytics Translators and executives in use-case development
Knowledge / Use-case development
Step 1: Identifying the business problem in an iterative approach
→ Applying the 5W framework in business problem identification
→ Quantifying the business problem, in both financial and non-financial terms
→ Predictive the value of analytical solutions
→ Developing the business case underlying a use case
Step 2: Analytics goal
→ Distinguishing business goals from analytics goals
→ 7 types of analytics goals
→ Aligning analytics goals with business problems
Step 3: Analytics questions
→ Aligning analytics questions with analytics goals
→ Differentiating between problem-related and solution related analytics questions
→ Assessing the added
Storytelling
Elevator pitch on external-internal fit
Midnight phone call with leadership / management
Short wrap-up
Reflection
>>> Coffee & networking breaks are provided between sessions <<<
Lunch Break
A great opportunity to engage in a casual chat with Sjoerd and your fellow delegates. Lunch will be served at the main hotel restaurant, providing a variety of specialties ranging from traditional local specialities to best international cuisine.
Afternoon Session
Knowledge
Data privacy fundamentals and digital ethics fundamentals
→ The three golden questions in data privacy and digital ethics
→ Three different perspectives to differentiate right from wrong
→ Examples of ethical dilemmas and how to deal with them
→ The Harvard model as the basis for sustainable application for data
Knowledge / Use-case development
Step 4: Conceptualization and conceptual modelling
→ Approaches for identifying factors that (potentially) influence business problems
→ Exploring the logic of how these factors impact the problem, and thus relate to each other
→ The role of independent, dependent, moderating, and mediating variables in conceptual modeling
Step 5: Operationalization of concepts
→ Developing valid and reliable measures for factors within the conceptual model
→ Idealism versus pragmatism: Data-gathering approaches
→ How organizations in practice deal with the problem conceptualization phase. What are best practices?
Storytelling
Explaining conceptual models to others
Short wrap-up
Reflection
Homework
>>> Coffee & networking breaks are provided between sessions <<<
The end of Day 1
Day 1 Re-cap
Your instructor will briefly reflect on the key learning points of Day 1 and outline the goals for the Day 2.
Morning Session
Storytelling
Instructions to data scientists & peer feedback
Knowledge
Data-science fundamentals (quiz)
→ The meaning and practical value of statistics such as statistical significance, R2, and standard deviation
→ The analytics value chain as a self-assessment instrument
Descriptive statistics
→ Producing descriptive statistics of large data sets in Excel within seconds
Inferential statistics
→ The importance of moving beyond ‘the wall’ prof. John Boudreau
AI, machine learning, deep learning
→ The essentials and practical application of AI-driven solutions
Analytics technology fundamentals
→ The usefulness and ease of use of technologies in data gathering, analytics, of visualization
Knowledge / Use-case development
Step 6: Data gathering approach
→ Differences between primary and secondary data gathering approaches
→ Contemporary data approaches and the need for creativity
→ Interorganizational factor contributing to (and hindering) the collection of data
Step 7: Analytics solution
→ Assuring the alignment between analytical goals and analytics solutions
Consultation
→ Individual and subgroup consultation on the use-cases under development
Short wrap-up
Reflection
>>> Coffee & networking breaks are provided between sessions <<<
Lunch Break
A great opportunity to engage in a casual chat with Sjoerd and your fellow delegates. Lunch will be served at the main hotel restaurant, providing a variety of specialties ranging from traditional local specialities to best international cuisine.
Afternoon Session
Knowledge
Storytelling fundamentals
→ Influencing decision making; the role of sublime messaging and nudging
→ Data visualization; infographics versus infocrapics
→ Features in MS PowerPoint you did not know about
→ Online storytelling: small improvement that make all the difference for effectively influencing decision making
→ Offline storytelling: the Narrative Arc and the Pyramid Principle as the structural components of your story
→ Common storytelling mistakes and best practices
Use-case
Step 9: Designing and developing the storytelling to leadership / management
→ Aligning your storytelling approach with the composition and needs of your audience
→ Selecting the appropriate medium, physical and/or virtual setting, and supporting materials
→ Determining and integrating the spot-on call to action
Storytelling
Final presentations: Dragon Dens with investors & peer feedback, including call to action
Knowledge
Identification of preconditions (and barriers) for the success of deploying proposed use-cases and developing new use-cases
The 9-dimenstion model of analytical transformation success
Transformation mapping as must-know approach in digital transformation
Agreement on next steps to start decision making process or deployment of the solution
Short wrap-up
Reflection
Closing remarks
>>> Coffee & networking breaks are provided between sessions <<<
The end of Day 2
Seminar Leader / meet the great
Dr. Sjoerd van den Heuvel, PhD
Associate Professor & International keynote speaker · University of Applied Sciences Utrecht
Sjoerd van den Heuvel, PhD is associate professor Data-Driven Business & People Analytics at the University of Applied Sciences Utrecht in the Netherlands. He is an international authority and a frequently asked speaker at business conferences and in-company trainings across the globe.
Recent international engagements included keynotes and masterclasses in Singapore, Dubai, Budapest, Sydney, Barcelona, Mannheim, London, Brussels, Istanbul, Kuala Lumpur, Geneva, Anaheim, Warsaw and lately Paramaribo
Sjoerd co-founded the very first Master of Science program ‘Data-Driven Business’ in the Netherlands; a formally accredited, and by the Dutch Government funded, multi-disciplinary 1-year university program in which students master the role of Analytics Translator: the must have role for data-driven organizations (source: McKinsey, 2018). Sjoerd teaches Data-Driven Decision Making and People Analytics to professionals, undergraduate- and graduate students. He furthermore helps leadership teams to develop data-driven business strategies, and trains professionals into their role of analytics translator. His research focuses primarily on individual competencies and organizational capabilities required for successfully transforming towards a Data-Driven Business and for effectively applying People Analytics.
Sjoerd holds a Ph.D. degree in Human Resource Management from Tilburg University in the Netherlands, and prior to his current position, he worked as a senior management consultant (Capgemini Consulting), senior Engagement & Retention advisor (Dutch Postal Service) and assistant professor in HRM (University of Amsterdam and Twente University). In both his teaching and research activities, his core focus is on how to bridge the gap between science and practice, because that’s where the analytics magic happens!
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About the Organizer / Who we are & what we do
KTC International is a multinational events company, focused on bringing leading international Speakers, Thought Leaders and Influencers to cities across the World. Our events aim to help delegates and their organizations in achieving strategic business goals, by acquiring insights and practical knowledge in the ever-changing world of Human Resources, through the proper implementation of project management, people analytics, smooth business change and the use of technology.
KTC International was established in 2003 with headquarters in Budapest, Hungary. With a track-record spanning over 17 years, we have been instrumental in organizing over 500 different congresses, conferences, forums, round-tables, seminars, Masterclasss and specialized in-house events, that gathered more than 10,000 people in total.
Since 2017, our flagship event has been the DATA-DRIVEN HR & PEOPLE ANALYTICS FORUM, a global conference series.
For more information visit: www.ktc-international.hu
Participation Fees / reserve your place now
Event FAQS / find your answers
NO, this is an in-person training course, with people seated around big round tables, with 5 participants at each. Flipcharts, whiteboard and post-it-notes and other tools will be provided.
This seminar is interactive and highly pragmatic, designed as combination of
Short presentations grouped in 4 half-day sessions over the course of 2 days
Practical, hands-on exercises and discussions with the audience, after each session
All registration fees are gross and no additional taxes or hidden charges shall be applied. The registration fee covers the following items:
Participation in all sessions
Lunch
Snacks & refreshments
All course materials
PDF copy of all presentation slides and other media, sent immediatelly after the event
Certificate of Attendance
Yes, 20% for 5 participants. Click on DOWNLOAD PDF REGISTRATION FORM button above for details.
Event Location
Hilton Brussels Grand Place
Carr de l'Europe 3,
1000 Bruxelles, Belgium
+32 2 548 42 11