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Process & Cultural Development

Processes that make data better

We can only achieve something together — that could be the motto of the data culture. Because this describes the joint handling of data, the processes used and the motivation to be data-driven.

Data culture also includes the company's ability to innovate and formulate and establish a common vision and strategy for using data.

Our process

01

Analysis

  • Analysis of existing processes, e.g. for collaboration and knowledge transfer
  • Identification of any process and organizational gaps
  • Analysis of existing data quality measures & processes

02

Recommendation and action plan

  • Development of new or improvement of existing processes. For example, for prioritizing projects/initiatives, requirements management, etc.
  • Definition and/or improvement meeting routines such as sprints, stand-ups, or executive boards
  • Recommendation of process and cultural initiatives such as preparation of clear mission & vision statements
  • Design of measures to increase data awareness and much more

03

Transformation

  • Continuous support in establishing and developing relevant processes
  • Continuous support to improve existing or introduce new meeting routines
  • Continuous funding and support from e.g. data awareness measures (e.g. through newsletters, office hours, etc.)

Why do companies need data culture?

Align processes

Which data is collected where, when and by whom? The processes with which data is structured, processed and read out are the basis for every data strategy and the secure and long-term development of data in the company.

KPI alignment and data transparency

Only when all employees understand the same things under the KPIs are data-driven decisions really possible across departments. This promotes data transparency between the various data stakeholders, which in turn leads to understanding — and thus a culture of self-service and the desire to integrate data even more into one's own work.

Vision and strategy for data

The data culture follows the vision and strategy that is intended for data. That is why it is so important to have not only a data department that adheres to the corporate strategy but also a data strategy to deduce which opens up a vision with which all employees feel welcomed and both supported and challenged.

Identify and implement innovations

Data culture not only includes setting up the data processes in the company cleanly, but also promoting and enabling innovations. By using data, trends and risks can be identified - in the right culture, ideas can grow and develop - this helps the company move forward in the long term.

This is how we go about establishing data culture

From data audit to strategy to establishing a common data culture — we support our customers in these important steps.

Phase 1

Status check — the data audit

As the first step of establishing a data culture, we first take a close look at the existing processes in a data audit , as well as the existing strategy, vision, and the option for self-service. It is important not only to involve management, but above all to talk to specialist departments and data users.

Phase 2

Strategy development

Based on the results of the audit, we develop a strategic plan to improve and implement an effective data culture. This strategy contains specific goals and measures that are tailored to the company's specific needs and challenges. This includes the creation of new processes, the implementation of new technologies, but also challenging the existing data vision as well as coaching and training for employees.

Phase 3

Implementation of processes

The newly identified and revised processes must now be put into practice. This part of the collaboration often includes data organization, which defines roles, structures, and responsibilities. In this way, data will have a clear path to follow in the future.

Phase 4

Training and skills development

A healthy data culture also includes building competencies about data in the company. After all, we want everyone to be involved when using data in the company — regardless of which department or position the employees are in. Everyone in a sustainable company works with data.

Phase 5

Enablement and use of tools

We want the companies we advise to be able to develop themselves in the long term, which is why we enable employees to continue to drive the culture independently. At this point, it is also worth taking a look at the data architecture to bring the right tools to the right places in the company.

Grafik des Frameworks mit dem Data Institute arbeitet.

Process & cultural development in our framework

We always work with the organization, culture and architecture framework.

Because in our opinion, these three areas are the most important factors for successfully anchoring data in the company in the long term.

Data culture is therefore one of the three pillars that are inextricably linked and interdependent. As a company, you can opt for a focus that best supports the company's goals in the short term. But it is important to always keep an eye on all areas and not to neglect any of the three pillars in order to generate long-term impact.

The Data Institute — the strong partner in process & cultural development

We want companies to quickly get an impact and see what they can do with data. At the same time, we have an overall view of the company and want to implement long-term strategies that enable employees to work with data independently.

Abstrakte Form eines Pfades des Data Institute

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