Laptop, couch, process graphic
#Data Value Exploration

Achieve new data products and use cases faster with data design sprints

The transformation to become a data performing enterprise is an iterative process, consistently focused on achieving maximum value creation with the lowest possible investment risk using agile principles. With the data design sprints method, INFOMOTION's experts support your company in creating ideas and added value from data, validating use cases, and developing new data products using agile principles, on an iterative basis, fail fast, and while protecting your investments.

INFOMOTION's experts support you with their many years of experience and proven methods, so you can achieve usable results quickly and affordably.

Peter Baumann INFOMOTION
Peter Baumann – Principal Consultant at INFOMOTION

The Best of Design Thinking, Lean Startup, and Agile Methods 

The data design sprint method has proven its effectiveness in product development for many years. It combines the best of different worlds – design thinking, lean startup, and agile methods – to develop new products and use cases quickly and with a low investment risk. A specific problem or opportunity is identified quickly and a potential solution is sketched out, in order to develop a prototype and test it in practice on this basis. A data design sprint may result in a prototype for a new product, or cause an idea to be rejected or modified if it does not offer added value. All relevant roles are involved in each data sprint – product managers, stakeholders, and area experts – in a multi-day, agile process.
INFOMOTION uses the data design sprint method to develop and validate applications and products to create value from data. Data design sprint is an agile approach based on the fail fast principle which companies can use to evaluate new data use cases more quickly and reliably. Companies can develop expertise and test applications in the data area for feasibility and potential value creation, without a high investment risk. As a result, data design sprints by INFOMOTION deliver comprehensive analytic documentation and concrete recommendations for the next steps our customers can take independently or with the support of our experts, depending on their needs and abilities.

Building Blocks of Data Design Sprints

  1. Orientation: fostering understanding for the relevance of data, identifying specific data & analytics issues within the company.
  2. Ideation: instructing and enabling individuals to identify and define problems in the data & analytics area.
  3. Lab: evaluating the relevance and/or feasibility of ideas and use cases through experiments within the company.
  4. Industrialization: developing data-driven applications in production quality based on modular prototypes.
  5. Operation: support in introducing and operating data products and applications within the company.
Data Design Sprints_eng

Advantages of the Data Design Sprints Method

Magnifying glass, thumbs up

Simple approach

From orientation to get started quickly on data & analytics issues, to an initial lighthouse project.

Investment, rising

Low investment risk

Projects are tailored to the company's needs, to gather initial experience with data affordably.

Lighthouse

Lighthouses create trust

Achieve usable results to support the topic of data in internal marketing with small investments.

INFOMOTION Lucas Mariano
#Contact person

With INFOMOTION's data design sprints method, companies can develop new data products and applications quickly and affordably.

Lucas Mariano – Manager at INFOMOTION