Data Science

Harvest real business value with the power of

Data science

Data Science has grown from being a hype to a strategic business asset

Data Science is currently at the core of strategic of business decisions being made in companies around the world. Confirming or debunking your gut feeling based on actual data, has placed its roots in higher management offices and critical decision environments.

Data Science is the art of combining statistics, data analysis and engineering to extract knowledge or meaningful insights from structured and unstructured data.

How can data science benefit you?

recommendation engines

Offer more precise products or services to your customers based on their online and offline behavior and buying paterns

predictive analytics

Offer more precise products or services to your customers based on their online and offline behavior and buying paterns

Planning optimization

Offer more precise products or services to your customers based on their online and offline behavior and buying paterns

customer analytics

Offer more precise products or services to your customers based on their online and offline behavior and buying paterns

image recognition

Offer more precise products or services to your customers based on their online and offline behavior and buying paterns

predictive maintenance

Offer more precise products or services to your customers based on their online and offline behavior and buying paterns

supply chain optimization

Offer more precise products or services to your customers based on their online and offline behavior and buying paterns

prescriptive analytics

Offer more precise products or services to your customers based on their online and offline behavior and buying paterns

fraud detection

Offer more precise products or services to your customers based on their online and offline behavior and buying paterns

This is just a grasp out of many possible fields where Data Science can offer tremendous value.

Curious what possibilities lie in your organization?

how do you start using data science?

Define your hypothesis

Gather your data

build your analytics platform

Objectives

Define what you want to achieve by using your data and analytics.

use case

Define how you are going to get the results you want to achieve.

collect

Gather or scrape all the data you need in a centralized environment.

clean

Fix the inconsistencies in your data and handle the missing values.

Build

Build the right AI model that matches your use case and desirable results.

train

Train your model and evaluate the performance and results.

deploy

Deploy your model to make it available for other applications or stakeholders.

visualize

Visualize the results to get a clear and uniform view on the value of the model.

Building a future-proof Data Strategy helps you in defining the right use cases for your business objectives.

Having a performant data platform in place significantly helps in storing, cleaning and monitoring your data.

Data analytics platform components

Development

Notebook environments for prototyping and developing models

Training

Train your models and see the results of different training experiments

Hosting

An easy way to deploy and access your models through API's

Versioning

Keeps different versions of your models and allow for A/B testing

Scaling

Allow for dynamic scaling of development, hosting and training

Monitoring

Monitor the performance and usage of your models

Testing

Performance and integration testing of your models

GDPR

Adhere to regulatory privacy requirements

Governance

Get a good overview of the data used in your models

Security

Ensure your models and usage is secured

Automation

Orchestrate all your processes in an automated way

Collaboration

Allow Data Scientists and Engineers to collaborate closely on the same code

Hardware

Scalable hardware and GPU acceleration for training models

How can we help you?

Do you want to start leveraging value from your data by using Data Science techniques? We can support you in every step of the data-driven value chain.

AI Workshops

Brainstorm sessions to come up with valuable use cases and a step-by-step implementation roadmap.

Consultancy

On-site support and knowledge sharing for your teams during your Data Science projects.

Custom development

Agile development of prototypes, full-scale applications and analytics platforms.

Training

Training courses to educate your teams on the main principles and concepts of Data Science.