Datenstrategie Designer

Big Data served bite-sized

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What does the DataLab Data Strategy Designer do?

The DataLab Data Strategy Designer collaborates with you to create your own customized Big Data strategy.
With the help of use case-based questions we work out the necessary data requirements and the relevant IT & analysis infrastructure. We then prioritize these use cases to draw up your personal roadmap for achieving your Big Data goals.

From Big Data to Smart Data

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What functions does the DataLab Data Strategy Designer offer?

The concept of the Data Strategy Designer enables you to answer essential questions.
Do I really need it? And if so, what for? Together we look beyond the horizon and put both existing and untapped data sources to the test. It allows us to always keep our sights on the goal – to improve data use in your company.

Use the DataLab Data Strategy Designer…

  • to develop result-orientated data requirements.
  • to create and resolve practical use-cases.
  • to develop your company´s own specif analysis roadmap.
  • to formulate concise requirements for your IT infrastructure.

No matter where you want to go, we prepare the way

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You should use the DataLab Data Strategy Designer, if…

  • you are thinking about implementing new anlysis or Big Data technology.
  • your Big Data efforts haven´t yet yielded the desired results.
  • you are wondering whether Big Data is really relevant for your business at all.

 

 

 

 

It’s not the quantity of data that matters, it´s how you use it. We use the Design Thinking method to make Big Data accessible for everyone involved. The interactive and cross-functional workshop format ensures the input of all relevant stakeholders into the data strategy, or even into each individual use case. Jointly prioritizing e.g. according to effort and business impact, ensures a company-specific data strategy.

Sarah Stengel

CRM Manager, DataLab. GmbH

Examples

What data do we have and where does it come from?

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Data Landscape

The first step is to collaborate on getting an overview of your existing data sources. In doing so, we will also look for new, relevant data sources.
By evaluating the value and importance of your data, we can then work out where it needs to be applied.
The graphical preparation helps to quickly identify gaps in the data, missing links and legal restrictions.

3 Core Elements of a Data Strategy

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You can´t see the customers anymore for all the data

The data strategy´s three core elements also represent three core questions for each use case: 

  1. What do I need the data for? Formulating a use case based on coporate strategy that is as concrete as possible will always allow you to keep the end-goal in view.
  2. This question tells you which analytical methods (and systems or tools) you should use to achieve the previously defined goal or to solve the use case.
  3. What data do I need for the solution? By defining the data landscape beforehand, you can see at a glance whether you have already tapped the necessary data.

Analytics Maturity Level

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See where your journey is going

In addition to the current status of use cases (=applications) and the tools used for them, the previously developed use cases are also plotted.
More advanced use cases and their tools require mastery of the previous stage. This automatically results in a prioritization for implementing the new use cases.
At the same time, the necessary investments (in tools or people) become clear at each level. The end result is defined in your own data strategy roadmap.

 

 

What data is there and where does it come from?

_____________

Data Landscape

First of all, we will collaborate to get an overview of your existing data sources. In doing so, we will also look for new, relevant data sources.
By evaluating the value and importance of the data, we can then work out the right fields of application.
The graphical preparation helps to quickly identify gaps in the data, missing links and legal restrictions.

3 Core Elements of a Data Strategy

____________

You can´t see the customers anymore for all the data

The data strategy´s three core elements also represent three core questions for each use case: 

  1. What do I need the data for? Formulating a use case based on coporate strategy that is as concrete as possible will always allow you to keep the end-goal in view.
  2. This question tells you which analytical methods (and systems or tools) you should use to achieve the previously defined goal or to solve the use case.
  3. What data do I need for the solution? By defining the data landscape beforehand, you can see at a glance whether you have already tapped the necessary data.

Analytics Maturity Level

_________

See where your journey is going

In addition to the current status of use cases (=applications) and the tools used for them, the previously developed use cases are also plotted.
More advanced use cases and their tools require mastery of the previous stage. This automatically results in a prioritization for implementing the new use cases.
At the same time, the necessary investments (in tools or people) become clear at each level. The end result is defined in your own data strategy roadmap.