Analytics & Applied Data Science

What it is

Organizations collect loads of data, sometimes without even realizing it. But how to create value from this data? Our business analysts, data analysts and data scientists have all the know-how and tools to extract the maximum value from your data. 

We guide you in the process of collecting data and analyzing it using the newest techniques that have proven business value. Together we transform the insights into actionable recommendations to reach your goals, such as increase in revenue, decrease in costs, increase your competitive advantage or increase your competencies to do it yourself. 

How we do it

We extract insights & recommendations, embed the story and educate your organisation. We do this for both Small and Big Data solutions. Mainly in Operational (Production, Logistics, Supply chain, Purchasing), Financial & Marketing and Sales functions. We guide you through the complete data journey - from vision to implementation.

Extract

We extract valuable insights and actionable recommendations from your data and create an implementation roadmap for further progress.

Embed

Embed the data story in your organization & help communicate with internal and external stakeholders. Together we will make sure that your data story is optimized and utilized in the best way possible.

Educate

We educate your organization and increase competency levels. We will teach you how to do it yourself.

Why you need it

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Increase revenue
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Decrease costs
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Increase process efficiency ( 2x higher growth rate)
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Stay competitive. >60% of companies use or plan to use

What we can do for you

First, let’s get the basics right. The first step is collecting, transforming and leaning your data to prepare for data analysis by answering the following questions:
- What is the quality of this data? 
- Can you trust it? 
- Do we need to improve the quality before unleashing our analytics powers? 

Now that your data has a sufficiently high quality level, it is time for descriptive analytics: analyze historical data to determine what happened. This is often visualized via dashboards, mappings and other visualization tools to present the findings to all stakeholders. 

But descriptive analytics only tells you what happened and not why, so it’s time we take things to the next level… 
Now that we know what happened, it is time to create a deeper understanding of why it happened. During a quantitative and qualitative analysis we are going on a treasure hunt in different data sources to find reasons behind observed events. Why are my product margins lower than I envisioned? Why do some of my selling points perform better than others? Why are my processes not followed? These are examples of diagnostic questions that can be answered by our business analysts after taking a deep dive into your organization to search for answers. 
This is where the real magic happens – with buzzwords such as Artificial Intelligence and Deep Learning. Our data scientists have a broad skillset including mathematics, econometrics, computer science and a good business sense. Using these skills, we can do predictive and prescriptive analytics. What will happen next? What should I do to optimize? We’d love to answer those questions together with you. 

Data maturity