Data and analytics

Harness the new technologies that match your growth ambition

Data is everywhere – and it’s waiting to be used to drive the development of new business processes and disruptive new business models. Your company’s ability to harness the power of data is the key to future-proof decision-making and the great differentiator of the digital age.

Even more, data is used to power emerging machine-learning platforms that drive truly intelligent business processes with minimal input. However, in this dawning era of digitally made decisions, it’s important to balance the complementary advantages of human and machine.


your company’s ability to harness the power of data is the key to future-proof decision-making and the great differentiator of the digital age

The 4 stages of leveraging data

1. Capturing

Data is all around us. It can be purchased, mined, or captured in real time through a variety of sensors present in cellphones, machines, beacons and other sources. Finding out what data to track is the crucial first step towards real business intelligence.

Learn what data drives your business with controlling and reporting


2. Management and governance 

The data you’re mining has to be as clean and accurate as possible. This requires constant scrutiny and management. Determining who is going to be responsible for which data or data set is another key step in harnessing its power.

Find out how to manage and govern your data


3. Modeling and analytics

Raw data is virtually useless. In order to gain real insights really fast, your business data needs to be structured in a way that suits your requirements. This also means that how different data items relate to each other must be crystal clear.

Discover how to unlock the power of data with visual analytics 

 

4. Consumption

Finally, you’ll want to put that acquired, managed, structured and analyzed data to good use. This can happen in several ways:

  • Descriptive: the facts and nothing but the facts; used in controlling and reporting .
  • Predictive: using data to predict what will likely happen.
  • Prescriptive: enabling ‘smart’ systems make decisions on their own based on the data (machine learning and artificial intelligence).

Take data to the next level with data science, and forge a path to becoming a data-driven organization