Take a first Step
The world of data and analytics offers seemingly endless possibilities. Identifying the most promising options is a major challenge, given the broad set of technologies and services offered in business intelligence, planning, forecasting and artificial intelligence. As sources of ideas and implementation partners, we guide you towards making the right choices.
Solving the puzzle
Defining a data analytics project is a bit like solving a jigsaw puzzle – only without the packaging that shows you what the final image should look like. The topic of digitalisation has been ubiquitous for a long time. Most organisations are fully aware that digital technologies offer a vast array of benefits.
However, in many cases, organisations struggle to answer questions like:
- What is my data worth?
- What can I do with my data?
- How do I approach it?
- Which technologies are for me?
The organisations we now consider to be pioneers of digitalisation are those that found answers to these questions at an early stage. Today, they have established a data culture that sees data as an asset in everything they do. They have devised ways to encourage data and knowledge sharing across their company, helping every employee to leverage the full potential of data.
This has unleashed new levels of productivity in manufacturing, highly precise predictions of the demands of tomorrow and a maximum utilisation of assets. These pioneering companies understand the needs of customers and markets better than ever. They know exactly which screws to turn in order to improve the bottom line.
If we expand this thought even further, digital technology will lead us into a new era of yet unimaginable possibilities. Those who have the confidence to take a leap of faith onto the the right train will have the brightest future.
“We help to picture how this data-puzzle might look once it’s solved. This will allow us to work backwards and find the pieces that need to be put together.”
To us, consulting means listening. It means understanding. It means defining your goals in close cooperation with you, and translating them into a holistic digital agenda.
You can be sure that we’ll only make recommendations once we’ve understood where you are today and where you want to go.
We help you understand where your challenges lie and how to fully utilise the potential of your data. We also keep your co-workers and employees in mind, allowing them to embrace the change you’re about to initiate.
It’s time for you to become the pioneer of digital transformation. Are you ready?
Benefits of our Consulting Solutions
Value assessment of data
Full utilisation of data potential
Insights into the impact of data and analytics
Ideas on fitting solutions
Definition of key pillars of a digital agenda
Is it safe to have my data in the cloud?
Many people are still asking this question today. In most cases, the cloud is safer than on the premises. In fact, most companies that were hacked, never found out, often due to a lack of expertise and internal resources. However, there are some additional considerations you may need to clarify from the outset, such as potential legal requirements as regards where this cloud is based.
How do I know if I'm ready for an analytics project?
If you’re asking yourself this question right now, then you have been ready for some time.
What are these cloud technologies?
The term “cloud” in the context of data analytics usually describes an architecture or platform that a host provides as a service. For example, Microsoft offers its cloud platform Azure. This platform runs on servers that are secured and maintained by Microsoft, so their customers don’t need to employ a large security or infrastructure team to look after it. The alternative to the cloud is called “on-premises”, a landscape in which your own organisation owns the servers/computers on which applications are run.
What does "data-driven organisation" mean?
Data-driven organisations are companies that fully exploit the power of their data, in almost any aspect of what they do. They use it to make decisions, automate their processes, as well as predict and avoid machine breakdowns using sensors data. In a nutshell: almost anything they do is driven or supported by the relevant data.