data

Smart Data

Realize the Potential of Data

Today, data is everywhere; petabytes of data are generated every second. Many companies understand the value of collecting data for their businesses. However, collecting data is not enough. Data only becomes valuable when you are able to see the connections or make predictions. To bring out the true value, data has to be managed during the whole data life cycle, and it has to be transformed from data to wisdom.

To become a data-driven company, you need to move from creating reports to generating new business value through data by making new correlations, predictions, or automations. Therefore, data governance and quality management is very important.

 

Figure 1: Value of Data
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Three principles to get your data going

  1. Start Small, Scale Fast
    Don’t overwhelm yourself. Start small with a data project with boundaries that has a specific business goal. Learn as much as you can and transfer all of those lessons to a bigger project.  Don’t forget to always keep in mind the overall business goals and the bigger picture.
     
  2. Don’t Start from the Bottom to End Up Where You Want to Be
    With reference data architecture, you are freed from spending cycles on architectural design. We use a flexible blueprint to build data architecture that fits your needs.
  3. Focus on the Platform, People, and Processes
    To transform raw data into an optimized decision-making process or as an enabler for new business and services, an organizational change is needed. Therefore, we don't merely focus on developing technology. We also look at the processes and the people needed to truly develop a data-driven culture.

Let's complete your data journey together

Inspiration

Gather inspiration and define a data strategy

How do you make data valuable?
Discover how through inspiration workshops, assessments or the co-creation of a data strategy and data roadmap.
value

Value demonstration

Use data insights or algorithms to create a data product with immediate business value.
Migration

Intelligent migration

We take an intelligent approach to migrating your data to a modern BI system. That way, you won't just migrate reports, but you'll also get the most insight out of your data.
analyseren

Industry-level analytics

End-to-end support, both technological (modern data platform) and organizational (data governance), helps you integrate data into your business processes and put it to work creating value.

What can Inetum-Realdolmen do for you?

We believe in the power of data to enable digitalization and business growth. While solutions such as Microsoft Power BI or technologies such as AI and machine learning are highly useful tools for value creation, they are a means, not an end. We always search for the most suitable solution for your situation, data products that will create business value. In this way, we can help you move from traditional reports and dashboards to self-service BI and intelligent applications that make use of technologies such as AI and machine learning. Data governance, which focuses on the organizational and behavioral aspects, is an integral part of our methodology.

Gain inspiration from these business solutions, made possible through data

Several realistic examples demonstrate how data insights and AI algorithms can create value, from operational excellence to an improved customer experience and the generation of new revenue streams.

  • Automated dispatching, anonymization, entity extraction (automated document handling) 
  • Predictive risk management: Fixing problems proactively before they occur
  • Marketing automation: Target new customers and reach out to current customers in a personal way
  • Performance management: Get all the insights to monitor and continuously improve

Our partners

Our collaboration with technology partners Microsoft, AWS, Snowflake, Profisee and Collibra enables us to implement state-of-the-art data management solutions.

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