Data Mastery Quick Check

Quick start for your data journey

Do you know your data maturity level?

Quick and easy: do the Data Mastery Quick Check

May we invite you into the fast lane? With the adesso Data Mastery Quick Check, you can quickly and easily find out where your company stands on the way to becoming a data-centric organisation. This free service is indispensable for anyone who wants an assessment of their company's data maturity level within a few minutes. The Quick Check also shows you the first steps that will help you make decisive progress from your point of view.

Data is one of the most valuable assets for companies today. Handling data is crucial for their future viability, and the right data strategy is a competitive advantage. But a data-centred company is not created in a meeting. The transformation to a data-driven enterprise is always an individual journey with different starting points. That's why adesso developed the Data Mastery Quick Check. Here we show you where you stand on a four-level scale:

  • 1 | Start
  • 2 | Build
  • 3 | Integrate
  • 4 | Design & Scale

Ready to level up your Data?

Start the Data Mastery Quick Check and find out what level your company is at. You can also expect tips on how your company can grow and scale in a data-driven way.

Book your Data Mastery Quick Check


What are the benefits of the Data Mastery Quick Check?

  • Quick assessment: Get an immediate assessment of your company's maturity level.
  • Clearly defined levels: Maturity levels are defined in ascending order of Start, Build, Integrate and Shape & Scale.
  • Targeted insights: Identify strengths and potential for improvement in your data-driven approach.


How does the Data Mastery Quick Check work?

  • 1. Participation: You fill out our short questionnaire.
  • 2. Analysis: Our tool analyses your answers and determines the current maturity level.
  • 3. Result: You immediately receive a detailed evaluation and recommendations for the next steps.


Your benefits at a glance:

  • Transparency: Understand your current position in the data maturity model.
  • Orientation: Use the results to make informed decisions for the further development of your data strategy.
  • Efficiency: Save time and resources with our quick and uncomplicated analyses.


Use cases of data-centred companies

All segments of a company's value chain can benefit from the correct use of data. This selection of exemplary use cases shows how data can be used to optimise processes, inspire customers and increase competitiveness. Data-based decisions enable companies to make well-founded decisions that promote business success. At the same time, data is the raw material for innovation, from which new products and services are created that better meet the needs of customers.

Supply Chain Management

Supplier evaluation and selection:

Companies can use data analyses to evaluate the performance of their suppliers. This includes criteria such as delivery reliability, quality of the products supplied, adherence to delivery deadlines and pricing. Based on these analyses, companies can make well-founded decisions when selecting new suppliers or optimising existing partnerships.

Produktion & Operations

Quality control and process optimisation:

Data-driven companies can use production data to identify quality patterns and recognise quality fluctuations in real time. By implementing machine learning algorithms, they can optimise processes to detect and correct errors at an early stage. This leads to an increase in product quality and a reduction in rejects and rework.

Logistics

Route optimisation and fleet management:

By analysing traffic data, weather conditions, delivery times and other relevant variables, companies can optimise their delivery routes. Data-driven algorithms can help to identify the most efficient routes for deliveries in order to minimise time and fuel costs. In addition, real-time monitoring of the vehicle fleet enables better coordination and scheduling of vehicles.



Together to success

Our expert

Manuela Schwarze-Myrenne

Senior Business Development Manager for Data & Analytics

My main focus is on supporting our customers on their journey towards data-centric business design and the associated data transformation, always with an awareness of their individual goals and challenges. In doing so, we actively support our customers in integrating GenAI into their data strategy to enable them to make data-driven decisions faster and more efficiently, thus achieving their transformation goals.

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