Data Strategy

TRANSFORM YOUR DATA INTO VALUE

Make value-generating decisions from

in-depth and automated data analysis

LEARN MORE

DATA STRATEGY ESSENTIALS

CORE BUSINESS

TRANSFORMATION

Boost process efficiency and quality
Automate and speed up routines
Re-organize collaboration
Increase data literacy

DATA-DRIVEN

NEW BUSINESS

Identify innovative use cases
Develop new business models
Agile testing and prototyping
Quantify business value

GLOBAL

DATA GUIDELINES

Ensure data governance and security
Foster competence sharing
Distribute learnings and playbooks
Decide on "make, buy or partner"

It is inevitable for successful businesses

to have a data action plan

Adaptive task and process automation
Deep learning and autonomous systems
Use of text, image and video data

Optimized human decision-making
In-depth KPI monitoring and distribution
Machine learning-based predictions and recommendations

Data Analysis

Advanced Analytics

Cognitive Analytics

Insights and forecasts
Data pipelines for basic automation
Cause and effect quantification

LEVEL UP YOUR DECISION-MAKING

What is a data strategy?

Data is the digital image of an organization. It should be the basis on which critical decisions are made. Therefore, a data strategy has to be an integral part of the overall business strategy.

Companies need to care about their data strategy in order to get a clear understanding and oversight of the data availability and quality as well as secure governance.

Data strategy is all about distributing data competence to every employee, providing guidelines and orientation to work efficient and compliant, as well as facilitating the opportunity of innovative new solutions. Whether it is transforming processes to a higher level of automation or incubating new business models.