OUR SERVICES

Irrespective of an organization’s big data maturity level, we help to translate business goals into the design, implementation and utilization of innovative big data solutions. Whether it is about increasing sales, decreasing costs, reducing risks or optimizing processes – BigData Republic is the expert partner during the full transition to a data-driven organization. We offer four key services to deliver business value for our clients:

Big data maturity levels: Where do you stand?

USE-CASE DISCOVERY

Creating awareness and identifying big data potential together.

DATA SCIENCE AS-A-SERVICE

Delivering actionable insights without the need of a big data infrastructure.

INTEGRATED DATA SOLUTIONS

Implementing embedded analytics: real-time, adaptable and scalable solutions.

TRAINING & CONSULTANCY

Providing skills and knowledge, enabling you to create big data solutions.

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OUR REFERENCES

We have worked with a broad variety of clients, ranging from small business enterprise to multinationals. Sectors include retail, finance, energy, automotive and more. A selection of our clients:

OUR SOLUTIONS

We believe in open-source technology. BigData Republic contributes all code that is not confidential to a specific customer back to the open-source community. This practice promotes code reuse, which allows us to kick-start projects, reduce project costs, and help customers keeping up-to-date with the state-of-the-art. We do not offer standardized products as we believe one size does not fit all. However, our solutions are the perfect starting point for your custom-tailored solution without starting from scratch. These solutions include:

The data science box

The data science box allows data scientists to analyze company data using their favorite tools such as R and Python. This virtual environment can be run on a laptop. Recommended as starting point for single-user projects.

The data science hub

If you prefer more control over who is accessing the data, and want to promote collaboration between data scientists, the data science hub is an ideal solution. The hub is similar to the box, but it allows multiple users in the same virtual environment. The hub can be deployed in the cloud or in an on-premise data center. Recommended as starting point for most multi-user projects.

The data science cluster

Both the data science box and hub can be connected to the data science cluster. This allows data scientists to perform analyses on very large data sets, as well as apply more complex machine learning algorithms in parallel. The cluster can be deployed on any of the major clouds (AWS/Azure/Google) as well as in an on-premise data center. Together with the box or hub, the data science cluster provides all you need for a full-fledged data science lab.

These kick-start solutions enable you and BigData Republic to execute all of your data science use-cases.

Training and education

We help to improve the skill sets of your internal employees to get better results on your big data and data science related projects. We offer a blend of standardized and tailor-made education and training programs.

Training & education
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OUR SPECIALISTS

We are a multidisciplinary team of experienced Big Data Scientists, Big Data Engineers and Big Data Architects. These combined skill sets and competencies allows us to not only build predictive and prescriptive models, but also to engineer software in a tailor-made big data infrastructure that efficiently processes data, applies algorithms and exposes data-driven insights.

BIG DATA ARCHITECT

Designs, tunes and optimizes big data infrastructures.

BIG DATA ENGINEER

Full-stack software developers, facilitating the connection between big data sources and users.

BIG DATA SCIENTIST

Builds predictive models that transform the way companies make business decisions.

BIG DATA STRATEGIST

Designs and implements strategic plans to build a big data competence within small and big companies.

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OUR TOOLS

We do not restrict ourselves to one product or technique. This enables us to choose the best solution for each organization.