Does your team already work with data, Power BI or AI tools, but not get the value out of them? At LISDATA we deliver in-company, tailored data and AI training, starting from your own technology stack and real data.
We work with both business and IT profiles, adapting the content to each group’s level and needs. We provide hands-on training delivered by the same team that implements the projects—not external trainers—so internal teams can make better use of the technologies they already have.
According to a World Economic Forum study, key skills for teams looking ahead to 2030 include technological literacy, Big Data training, and AI leadership.
To build these capabilities, training must be connected to the tools, data, and processes teams use in their day-to-day work.
Buying a Power BI, Copilot, Claude, or ChatGPT licence does not guarantee that the team knows how to use it well. Generic training can fall short when it does not take into account the company’s real data, processes, and needs.
Tools are used only for basic tasks, without leveraging their full potential.
Teams need help to use some tool features that they could manage more independently.
Knowing how to use a tool does not mean knowing how to structure data or build reports that meet business needs.
ChatGPT, Copilot, or Claude are used for queries and as a conversational assistant, without integrating them into work processes.
AI is not always the solution; some cases are better solved with traditional automation or require a human decision.
Different departments need different levels of depth and learning objectives.
We offer different types of AI training for companies, always with a practical approach, adapting the content and level to each team and its starting point—whether it is an internal use case or a standard technology.
In-company data and AI training is adapted to each company’s starting point. We define the scope, format, and level based on the problem to be solved and the tools the team uses.
AI training for companies starts from a specific need, from improving the use of a tool that is already in place to developing new capabilities.
Some common scenarios include:
Practical training that connects learning to each team’s day-to-day work, from technical profiles to business areas.
A company in the insurance sector needed to improve its teams’ capabilities in data and AI. A training programme was designed combining technical training on a real Power BI environment and an AI awareness session for the finance and actuarial teams.
The programme included:
The result was training connected to the teams’ real work to improve technical capabilities on existing tools and, at the same time, identify concrete opportunities to apply AI in the business.
A professional association in the economic field needed to improve its professionals’ data analysis capabilities, starting from a non-technical profile. A practical 40-hour training programme in KNIME and Power BI was designed, working on real situations.
The programme included:
The result was practical, progressive training that enabled less technical profiles in the organisation to acquire BI knowledge and apply it directly to their day-to-day work.
We train teams on the tools they already use or are about to adopt, adapting the content to their technology stack.
Yes, the training is adapted to the company’s technology stack, data, processes, and real needs. When possible, we work on tools or cases the team already uses. We can also cover standard technologies when there is not yet a specific practical case.
The duration depends on the objective, the team’s level, and the content. At LISDATA, we have delivered training programmes ranging from 4 to 40 hours, spread across one or multiple sessions. We define the number of hours after understanding the group’s needs and starting point.
Yes. Training can be delivered in person, online, or in a blended format, depending on the characteristics of the team and the programme. The format is defined during the training design to facilitate participation.
Training can be adapted to different group sizes, but we recommend working with small groups of around 5 to 8 people with a similar level.
Yes. We can train teams in Copilot, Claude, ChatGPT, and other generative AI tools when the company already has them. The goal is to explore professional application possibilities and help the team integrate them into their usual tasks.
The difference lies in the starting point and practical application. Instead of following a fixed syllabus, training can be based on the company’s real environment, data, reports, and needs. This way, the team learns Power BI in relation to situations that are part of their work.
Training is delivered by LIS’s technical team, made up of professionals who work on data and artificial intelligence projects, which enables them to connect the content to common implementation situations.
We do not usually provide materials or guides by default, but if the project requires it, we can include the preparation and delivery of additional documentation within the scope of the training.
Yes. We adapt the content to each group’s profile and technical level. For business teams, training can focus on possibilities, use cases, and application criteria. For IT and data teams, we can go deeper into tools, architecture, platforms, models, integration, or data governance.
AI application must be defined according to the process, risk level, and each company’s control requirements. In areas such as finance or compliance, training can help identify which tasks can be supported by AI and where human oversight and decision-making must be maintained.
Yes. In certain awareness sessions, we can work to identify and prioritise potential use cases. The team analyses processes and needs to detect where AI can add value and distinguish those opportunities from those better addressed with other technologies.
AI training for companies is focused on developing specific knowledge and capabilities. Discovery and adoption have a broader scope and aim to embed AI into the way of working. Both services can be combined depending on the company’s needs.
