Back to the roots. Everything on data!

Since our founding in 2014, the MUNICH DIGITAL INSTITUTE, like digital events, has continuously developed. We started as a pure intelligence unit. But we were ahead of the times back then. Many companies found analytics and data important, but were unwilling to launch projects and allocate budget.

So we invested a few years in customer and employee experience. These were primarily communities, FAQ platforms or social media services and chatbots. In order to feed this with content, a central knowledge base was needed. We have designed and implemented all of this nationally and internationally over the years with customers like BMW. Always starting from deep analytics via modeling customer journeys (Customer Journey Mapping).

Competencies and-to-end.

We have now returned to where we started. Today we're analyzing analog and digital communication and try to convert data into valuable information. This is not least because the topic of data-driven marketing and communication has gained enormous momentum. It is currently at the top of the priority list for many companies. We are a one-stop shop:

Data strategy

We work with companies to develop sustainable approaches for implementing data-driven processes in the organization. This ranges from key figure constructs to the connection of data sources, technology selection to benchmarking for success comparison and the necessary imparting of data skills to the workforce.

Data visualization

Anyone who wants to work with data support today needs an attractive and intuitive presentation. There are various software solutions for business intelligence on the market such as Tableau and PowerBI from Microsoft, all of which have dashboards. We build these dashboards according to defined use cases and also operate them if desired.

Data Science

We convert data into intelligence. Merely visualizing performance figures is not enough for us. Many companies are satisfied with this because they essentially want attractive reporting to monitor success. However, they are wasting the actual potential. Namely the use of data for future decisions.

We model data to generate real insights. To do this, we develop and refine our own natural language processing and clustering models, have our own scoring models and are increasingly relying on AI solutions such as ChatGPT.

Technology & Engineering

However, BI dashboards can only be effective on the basis of complete data automation. Substantial analytics are only possible through the resulting amount and timeliness of data. Manual data maintenance is a thing of the past, also because the amount of data is too large. We have the technology expertise for database solutions and corresponding integration in-house. We therefore see ourselves as a partner not only for the specialist departments, but also for IT departments.

What matters: The use case.

For us, the excursions of the past into customer and employee experience are now worth their weight in gold. Because data is not an end in itself. Rather, they should offer objectification and support in order to better achieve communication goals. Ultimately, these communication goals always serve to improve the relationship between brands or companies and their stakeholder groups, both internally and externally. Our analytics always focus on applicability. That's why defining use cases is so important.

Data in transformation context.

Data and the intelligence derived from it now enable a deep understanding of all stakeholder groups. That is why data-driven business is now a strategic transformation topic within digitalization. Marketing, communication, service, sales and product development can benefit enormously if they also use data-supported work in their decisions.

However, this requires change in the company. You need new skills, possibly new staff. Managers must be open to linking decisions no longer just to their personal assessments and experiences but to objective analytics.

The design of processes, working with data, technology decisions – we always look at all of this with business goals in mind. Our intelligence products such as the Customer Experience Score, the Corporate Influencer Score or our NLP and Topic Modeling solutions reflect this thinking analytically. We offer the entire range of end-to-end solutions in the area of digital experiences, from analytics and strategy consulting to conception, implementation and project management.