Data analysis

As an organization, you have access to large amounts of data. However, often only part of its value is utilized. When you analyze this data, it reveals what is going on, why things happen, and what actions are needed to achieve goals. Decisions are thus based on facts rather than assumptions. 

 

Valid helps organizations convert data into insights that directly contribute to results. We ensure that information is reliable and accessible, using the right data analysis tools, and translate analyses into concrete tools that help you move forward. 

 

Data analysis gives you more control over performance, makes processes more efficient, and improves the quality of decision-making, even when data comes from different sources within the organization. 

710
Laptop

What does data analysis involve?

Data analysis is the process of converting raw data into understandable and relevant information. By analyzing data and recognizing patterns, trends, and deviations in different datasets, your organization gains insight into performance, target group behavior, risks, and opportunities. We help you not only understand what is happening and why, but also which follow-up steps are logical and effective for immediate adjustment and answering specific questions. 

Types of data analysis

Within data analysis, we distinguish between different types of analysis, depending on the purpose and the question you want to answer: 

  • Descriptive analysis– What happened? Insight into historical data, such as reports and dashboards.
  • Diagnostic analysis– Why did it happen? By establishing connections between data and revealing relationships between variables, it becomes clear which factors influence performance.
  • Predictive analytics– What will happen? Trends and algorithms help predict future outcomes and results.
  • Prescriptive analysis– What should we do? Advanced models advise on the best next steps or decisions.    

Data analysis therefore goes beyond technology alone. It is a way to better manage, learn, and improve. Technology and the right methods play a supporting role in this. Because the real value comes when insights are applied in practice. We have the right expertise to guide organizations in this process. 

Valid data value visual

Our approach to becoming a data-driven organization

First, we engage in dialogue to form a clear picture of the organization's ambitions and objectives at all levels: strategic, tactical, and operational. A data-driven way of working requires not only technology, but also the right skills and willingness to change. The transition from intuitive working to data-driven working means that people, from the boardroom to the shop floor, will look at their work and results differently. 

We guide organizations step by step through this process. Our approach combines: 

  • Substantive expertise –we ensure that data is reliable, available, and easy to analyze. 
  • Business insight– we translate analyses into understandable, relevant information for every level of the organization; 
  • People-centered change –we help everyone to truly embrace data in their daily work. 

In doing so, we take into account the existing maturity of the organization: are data management, competencies, and systems sufficiently aligned with the ambitions? The actions and interventions we propose always match the current and desired level. 

We then work together to identify what data is available and what insights are needed to measure and report on progress toward the objectives. With the right analysis methods and tools, from dashboards to predictive models, and a data lake to store raw data centrally and scalably, we create a culture in which insights actually lead to action.  

We work iteratively and transparently, with a constant focus on usable results. We do this using proven technologies such as Power BI, Microsoft Fabric, Azure Synapse, and Azure Data Factory. 

High five

The benefits ofdata analysis

With a solid and future-proof foundation for data analysis, you benefit from: 

  • Faster and better decisions, based on facts rather than assumptions.
  • Greater control over processes and performance, thanks to insight into what is happening, why it is happening, and where optimization is possible.
  • Predictive ability to identify trends, opportunities, and risks at an early stage and act proactively, thanks to data mining that reveals hidden patterns and connections.
  • Continuous learning and improvement,using feedback from data.
  • Greater engagement and ownership, as teams better understand the impact of their work and how they contribute to organizational goals.    

By working together on your data analysis, you will achieve your goals faster. Your organization's data literacy will increase and you will lay the foundation for a bright, data-driven future, enabling people to work based on facts rather than gut feelings. 

Our solutions 

We support organizations with solutions that match their maturity level and ambitions. Examples include: 

  • Assessments to determine where you stand and which data is most valuable. 
  • Design and setup of analytical reporting environments (e.g., in Power BI). 
  • Design and implementation of data platforms (e.g., in Azure). 
  • Training and adoption programs to support teams in data-driven working. 
  • Integration with existing data platforms and data management processes, ensuring optimal use of data. 

We ensure that data analysis not only provides insight, but also results. 

In practice

Want to know more? Read our blogs related to this topic: 

Excel or excel?

In this blog, you will discover why Excel reports ultimately limit data-driven working and how a modern data structure provides greater clarity, reliability, and control over data.

Fragmented data sources: an obstacle in data-driven work

Fragmented data sources hinder data-driven working because data is scattered and inconsistent. By centralizing data, organizing ownership, and investing in culture and leadership, a single reliable basis for better decision-making is created.

Ready to grow and prosper as an organization?
Valid - CTA 1