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Data Strategy

Technologies

“I have gathered all this data, but what can I do with it?

“I want to start using my data but I don't know how?”

“Which business problems can I solve with my data?”

“We're becoming data-driven, but what impact will this have on my organization?

These questions are being raised regularly by different people within the organizations we talk to. However, way too often, we see organizations looking immediately into technological solutions and diving directly into specific use-cases. We think it is important to take a step back and start from the business problems you try to solve. 

The end goal of our data strategist is to solve your business problems with the help of data. He helps to define a data-driven strategy and a roadmap to get there. The key to success is to keep this end goal in mind throughout the process. Together, we define key initiatives that can be tackled one-by-one. It is only in this phase, we start looking into technological solutions after the key requirements have been defined. 

Data Strategy

"Our Data Strategist act as a catalyst to co-develop your strategy, to define key initiatives and to deliver change."

Bart Van Der Vurst, Competence Lead Data Science & Strategy

 

What's a Data Strategy?

A Data Strategy is a vision and an action plan, describing how you want to achieve your business goals through data. 
  • It's a Strategy and as such, shared and embraced across your entire organization. The strategy defines the 'how to' and the difficult choices an organization has made to (not) do something. 
  • It's Visionary. It looks beyond what is possible today and it defines the ultimate goal how your organization wants to work with data in the future.  
  • It's Actionable because it defines what you'll do, how you'll do it and when you'll do it.

What's a Data Strategist?

A Data Strategist acts as a catalyst to co-develop key initiatives and deliver change.

  • He/she has experience and has accumulated business maturity to guide you through your strategic reflections. 
  • He/she has knowledge of Data & Analytics. Although he/she isn't a hardcore data scientist, a data strategist knows what is possible and how it should be delivered.
  • He/she is hands-on in delivering change. The data strategist goes beyond the analysis in order to support you in explaining and implementing change within your organization. 
  • He/she helps to build awareness and educate teams within your organization. A data strategist helps to communicate the strategy and motivates everyone to achieve the goals. 

How can we help and what is our approach?

Our data strategists help organizations build and grow a data-driven business. We align your business goals with a data strategy and data-driven solutions. 
Following five elements are tackled in every data strategy project we engage in:  

  1. We deep-dive on your business problems
  2. We define a clear roadmap before diving into technical solutions
  3. We prioritize use-cases and initiatives based on multiple dimensions like complexity, speed-to-market, expected return and change
  4. We co-develop these initiatives and help you in tackling them one-by-one
  5. We act as a translator between your business problems and a data-driven solution

Why our customers are doing it?

We see four main reasons why our customers invest in becoming a data-driven organization.

Data Strategy

  1. Gain insight and agility

One of the biggest reasons to apply data analytics in your organization is to gain insights into your customer base, supplier base, advertising spend, ... It helps you discover patterns, insights and knowledge that without analyzing the data, would be impossible to discover. With these insights, you can act more agile and take better decisions. It thus helps you to be more efficient in what you are already doing. 

  1. Build a competitive edge

Building on top of the insights, you can turn your data into a competitive asset. A great example of this is the true use of a loyalty card. Instead of only capturing the data, you start analyzing it, gathering insights out of it and start using it for personalized communication, product offerings and advice. Through the use of your data, you gain a competitive edge over your competitors.

  1. Open new business opportunities

Data analytics can also result into opening up new business opportunities. Building a service around your data analytics practice requires a solid foundation but once the foundation is there, the opportunities are endless. A classic example here is the servitization of hardware. Rather than selling hardware equipment, a service is sold with an SLA on the uptime. In order to maintain this SLA, the vendor now needs to understand what his equipment is doing in order to proactively react to defective machines.

  1. Redefine customer service

Nowadays, customers expect a better and personalized service. By applying data analytics, you can understand what your customer wants, at what time and how he likes to be supported. Furthermore, you can include the use of chatbots into your service organization to have an always on customer service.

Do you have difficulties in defining your next steps to get value out of your data? Do you want to gain new insights and build out a competitive advantage? 

Do not hesitate to contact us for more information. 

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