Building a data team

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How do I plan and build an interdisciplinary data team?

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What skillset do individual employees need?

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What do optimal ownership and a successful transition look like?

The company
nexible, an innovative InsurTech company revolutionizing digital car insurance with smart technologies and transparent services, operating in Germany and Austria.
Technologies
Tableau, Python, PostgreSQL
The challenge
Needs-oriented and structured mapping of data-driven requirements.
Result
Building an internal data team with an agile mindset and sound expertise.
Read the case study now

Building a data team

Arrow to the right

How do I plan and build an interdisciplinary data team?

Arrow to the right

What skillset do individual employees need?

Arrow to the right

What do optimal ownership and a successful transition look like?

The company
nexible, an innovative InsurTech company revolutionizing digital car insurance with smart technologies and transparent services, operating in Germany and Austria.
Technologies
Tableau, Python, PostgreSQL
The challenge
Needs-oriented and structured mapping of data-driven requirements.
Result
Building an internal data team with an agile mindset and sound expertise.

Case study on building a data team along a Tableau reporting process

Many companies already work with their own data and independently create analyses on the performance of various specialist areas. However, only a few of them have their own data team. But to really pick up speed on the subject, data management and data analytics need qualified personnel with specific responsibilities right from the start.

taod supports and advises nexible in setting up an internal data team. The customer-oriented consolidation and use of data as well as data-driven entrepreneurial value creation within a modern and agile working atmosphere between nexible and taod ensures a healthy and growing data management project. The exploration and visualization of customer needs takes place within a growing data team led by taod, which is dedicated to the success of the project with constantly evolving skills and a lot of passion and grows with its challenges.

Framework for agile collaboration between taod and nexible
Industry / Sector
  • Insurance Technology / Motor vehicle insurer
Technologies used
The challenge
  • Identification of data value and establishment of processes 
  • Development of dynamic documentation to reduce dependencies and risks 
  • Customer segmentation and user analysis with associated dashboards in Tableau
Solutions through taod
Result
With iterative and demand-driven enablement and continuously deepening collaboration, the Data Team is expanding and refining new projects.

Internal competence development along a project

One of nexible's declared goals is to enable all employees to work in a data-driven way. Among other things, the data analysis tool Tableau is to be established as a self-service tool for everyone. Standard evaluations can be solved independently in this way in future. taod will be brought on board in order to bring about specific technical solutions quickly. The external service provider will cover any peak workloads and implement requirements, particularly for projects with tight deadlines. The overarching strategic goal is to become a data-driven company with fully automated processes based on all acquired data.

Backlog and agile framework for the first requirements analyses

nexible and taod work closely together right from the start. The identification of requirements and the subsequent solution development are carried out together as a team through agile and open collaboration. The skills of all those involved complement and dovetail with each other so that both business-driven and technical topics can be developed in a focused manner. 

Internal competence development along the joint Tableau project

The primary tool is initially the BI and analysis software Tableau, for which taod provides both technical support and advice on content design, implements features and develops individual requirements technically. A new backlog is built up with the increasing requirements typical of the project. Existing structures and processes, such as ETL processes, are jointly optimized or expanded as required.

Optimization of ETL processes and workflow management

As the project progresses, new and more extensive analysis requirements arise. In addition to the development of Tableau functions, business-specific integrations and adaptations become more urgent and, above all, more detailed. Thanks to taod, nexible was able to bring the necessary expertise into the existing team at very short notice. Another new requirement is the optimization of ETL processes. In future, the existing process is to be organized via the Apache Airflow workflow management platform. New ETL processes will be created and existing ones adapted. All data sources must be explored, consolidated and prepared in a business-oriented manner. 

Data Driven as a team result

The customer-oriented consolidation and use of data as well as data-driven entrepreneurial value creation within a modern and agile working atmosphere ensures a healthy and growing data management project. The exploration and visualization of customer needs takes place within a data team that is dedicated to the success of the project with constantly evolving skills and a great deal of passion.

"The collaboration between taod and nexible is continuous and deepening through agile methods such as dailies, reviews and retros." 

Florian Fuchs

Chief Commercial Officer / nexbile

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Sabrina Tonnicchi
Sales Consultant
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