Masterclasses for leaders

Our masterclasses are for your executives, leaders, and managers and their teams. The webinar delivers tech advice that’s ready to be used straight away in the real world. It’s about getting an edge with data, analytics, and AI.

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Duration

2–3 hour session

Format

Live or remote

Preparation time

2–3 weeks

Customisation

We can research, add, and discuss industry- or client-specific cases and challenges.

Focus Topics

We can offer masterclasses in a variety of topics and also customize them to your needs.

Data Governance

For many companies, data governance is amongst the top items on the strategic agenda. This masterclass is sharing the what, why, how, and who of data governance. The masterclasses shares the theoretical principles on who data needs to be governed. Moreover, our eperts provide best-in-class cases that illustrate that while having standard governance principles, it also depends on the organizational built up.

Data Thinking

Data Thinking combines Design Thinking with Data Science & Engineering. It utalizes the user-centric principles of design thinking to translate and break down the complicated and complex data topics. The tools help to identify and describe new data use cases, formulate valid development hypotheses and help as a set of frameworks for executing the development of data-driven products & services.

Data Strategy

One of the central pieces needed for transforming towards a data-driven organization is a well-articulated data strategy. However, not many organizations have such a cocise strategy for data and AI in place. The masterclass discusses the central elements of a data strategy. During the masterclass, we discuss some of the common pitfalls in the implementation of data and AI strategies and give recommendations for business leaders on how to successfully include data and AI in their business processes.

Data Literacy

Data literacy is the ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied. It is considered one of the most important skills of the 21st century. The Masterclass will provide an overview about the elements of data literacy and share best practices on what organizations but also individuals can do to become data literate. Further, we will show you the stages of the DAIN Studios Data & AI Maturity Framework.

Data Operating Model

You have your data strategy formulated and ask youself "What's next?". This masterclass provides some tangible answers to how an operating model helps to implement the data strategy. We will go through the important elements of an operating model and highlight potential pitfalls when starting the implementation. Moreover, this masterclass accompanies and extended Q&A session with our data strategy experts on the issue.

Data Architecture

The architecture is one of the most important elements in today's data world. Not only do you need to understand which elements are needed to generate insights from a lot of differently structured data sources, you also need to navigate through the ever changing world of vendors and applicaions. The masterclass will cover the basics of data architectures and shares some best practices in deciding which aspects are important for your company.

Data Science

The masterclass is comparing Data Science, Statistics, and Analytics. We illuminate the Analytics levels and basic terminology that everyone should know. We tap into methods used in data science and what use cases can be solved and which can't. Finally, we also explore what is meant wirh MLOps and how it can be establshed in modern organizations.

Business Intelligence

Many organizations wonder about the possibilities that data can bring to their business. With our proven Data Thinking methodology, we will help your team explore existing ideas and generate new ones on what data opportunities lie ahead of your company. This includes prioritizing the discovered opportunities and drafting a tangible execution roadmap to get your team moving towards a more data-driven future.

Data Protection & Privacy

Data Protection and Privacy are crucial topics to cover when developing data use cases that use personal data. After implementation of GDPR in EU and other legislation elsewhere, many companies have already taken massive steps towards meeting these regulatory requirements. In this training the objective is to to refresh the understanding of data privacy and to create a deeper understanding on how the regulatory requirements link to our data development processes. The training gives practical examples on, eg. how to implement Privacy by Design processes as part of your data development process.

Responsible & Ethical AI

Responsible and Ethical AI is becoming more and more important to any organization creating algorithms. The importance has raised from bigger number of AI being implemented and more critical decision being made by algorithms which has lead to growing societal interest that is leading to increased regulatory focus. EU is in the process of implementing AI legislation that will boost up the requirements for algorithms. Even without the legislation in place, it is highly important to ensure the organisation developing or using AI understands the ethical implications.

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References

Finnish Manufacturing Company

We created a practical Data Literacy journey for experts and team leads. The focus was not only to introduce the concepts and processes, but also to let the participants work on ideating real, relevant analytics use cases.

Duration

2 month timeframe from introduction to closing session. 12 hours of online participation, 12 hours of offline team work.

Format

Remote seminars, workshops, discussion sessions, and offline team work.

Target Group

Several cohorts of 100+ participants from different business areas and countries.

Finnish - Performance indicators of digital commerce and the development of them

The course was divided into theoretical part and practical part. The theory section concentrated on general information of business intelligence and analytics, how to develop good (Key) performance indicators for digital business and tie them into organization’s strategy and general principles on data visualization. The practical part consisted of exercises on Tableau, where students learned to use the program and gradually worked their way through a fully functioning dashboard on example data.

Duration

2 full working days (2 x 8 hours).

Format

Remote

Target Group

15 students in various functions, mainly in sales and marketing

Masterclasses for leaders