Data Mining Discovery

Data Mining Discovery is a 4-step solution to extract new knowledge from data. Know where and how your business can improve.

Knowledge Discovery and Data Mining for extracting valuable insight from data.

Projects are adjusted to your company size and individual business objectives.

The first results of newly found insights are usually delivered within 4 - 6 weeks.

Data mining discovery

Data Mining Discovery

Data Mining Discovery is a 4-step solution to extract new knowledge from data. Know where and how your business can improve.​

Data mining discovery

Knowledge Discovery and Data Mining for extracting valuable insight from data.

Projects are adjusted to your company size and individual business objectives.

The first results of newly found insights are usually delivered within 4 - 6 weeks.

About this service

Many organisations do not make efficient use of their available data by simply not applying modern analysis techniques, such as Data Mining. Therefor they miss out on the value of their data.

With the Data Mining Discovery actions, we take a deep dive into your available data and, thanks to analyses with cutting-edge technologies, find trends and patterns that will discover new business opportunities.

Data mining is a process used to turn raw data into useful information. We use software to look for trends and patterns in data, so your businesses can for example learn more about customers to develop more effective marketing strategies, increase sales and decrease costs.

Each step has its direct results that your organization can use immediately.

Data Mining Discovery
Process steps

We investigate your business objectives to determine exactly what your business requires and how data mining should ideally support your goals.

You will immediately gain a sharp insight into your current situation and desired goals.

Data mining is a process of extracting and discovering patterns in data sets by using special softwares. All available data is used to discover business opportunities that were previously not visible. This provides valuable new insights, for example, about how your customers buy your products and where you can optimize to increase sales and reduce costs.

These newly found insights will be visualized in a dash-board so your teams can start using it straight away.

With Advanced Analytics techniques, we can for example predict with high accuracy what will happen in the future and prescribe the best actions. In this research phase, we determine which types of advanced analytics methods are most useful for your
business opportunities spotted in step 2.

Together with you, we select the most important use case that will move on to the next phase. A roadmap for all your opportunities will be delivered.

For the selected use cases from step 3, we will develop a proof of concept. We use real-time data and will demonstrate with a prototype that the predictive model works. The proof of concept delivery includes a cost indication and development time per model.

After approval you can decide if you want the prototype to be developed by us for production.

Who benefits most from data mining

Data collectors

Businesses that have collected (stored) a lot of transactional data over the years and never deeply analysed all available data across business units, departments or on its own.

Analysers lacking techniques

Teams that carry out analytics but are looking to discover new knowledge using the latest techniques and seamlessly implement predictive analytics into their business.

Your gains
1

A cutting-edge new technology to do analyses on your data and find new trends, patterns and knowledge.

2

Gain new business insights from hidden opportunities in your data that have not been discovered before.

3

Cross-departmental learning that will help each of them perform better and meet their targets more easily.

Want to know more?

Get in touch and we’ll get back to you in a tick.