BigHub, s.r.o. – from data to aha! | Official website of BigHub, s.r.o. – Information Management and Advanced Data Analytics

about

About BigHub

BigHub s.r.o. is a company focusing on providing services and comprehensive solutions in the field of Business Intelligence particularly in Advanced Data Analytics and Data Management. The core team consists of experts with many years of experience from leading consulting companies and institutions working with the largest Czech and international clients, mostly in banking, insurance, telco, retail and energetics sectors. Our basic principles are an agile approach, a clearly defined business case and the use of innovative open-source technologies. We can provide supplier and technology independent consultations and services based on know-how that has proven itself in modern IT solutions.

Information Management

We love data! That’s why we are familiar with the field of Data Management. We perceive all layers of functioning BI solution, i.e. processes, tools, models, essential knowledge and capacities – not just the technology itself. We can provide you with our extensive experience in the fields of Big Data, Data Warehousing, Data Quality & Master Data Management, Data Security and Governance.

Advanced Data Analytics

Our core team consists of consultants who can apply their know-how from both the business and the academic world. We fully understand benefits of both classical and state-of-the-art (Deep Learning) approaches to Advanced Data Analytics in application to various business scenarios. We can also scale – very powerful synergy with Big Data is in place.

our-philosophy-is

We have gone through the creation of many solutions, we know what works only in theory and what delivers the real results.

expertise

Our expertise

We provide you with technology independent consultations and end-to-end tailor-made solutions, a modern approach to Advanced Data Analytics and extensive experience in the field of Data Management and knowledge of all aspects of reasonable BI solution.

Big Data

We were at the forefront of deploying Big Data Solutions in complex corporate environment. We are capable of implementing an architecture that exceeds the limits of monolithic EDWs and is open to dynamic data processing developments.

Data Warehousing

We perceive Data Warehousing as a core BI solution for analysis and reporting. We can provide you with the know-how that has proven itself in modern warehouses, either built on top of RDBMs or Apache Hadoop related technologies.

Data Quality & Master Data Management

Cleansing, standardization and consolidation of data is a very important prerequisite for building every BI solution. The most valuable benefit is the ability to track all company information about parties and products from a variety of primary systems.

Data Governance & Security

Without proper data governance, every new initiative can unleash a big heap of trouble. We have experience with the definition of data operation and security standards ensuring that important data assets are formally managed throughout the enterprise.

Data Exploration and Visualization

It is usually an enlightening moment when we introduce clients to their own data. It often brings many new ideas for further investigation!

Predictive modelling

Product recommendation, churn detection, life-time value evaluation, socio-demographic or act-alike modelling.

Text-analytics

Text processing techniques allow identification of important information (e.g. language, people, relations, keywords), sentiment and subjectivity detection, topic identification or text summarization. These techniques are applicable in multiple languages.

Graph analysis

Analysis of data of the nature of relations (family, CDRs, social sites connections, geographical presence, transactions, ownerships, etc.), identification of influencers, detection of strongly or weekly connected communities, typical behavioral patterns, frauds, etc.

Pattern Detection

Detection of significant repetitive patterns in behavior of individuals and companies, enabling enhanced targeting with an appropriate business response in advance.

Image and signal processing

Deep learning techniques have shown great performance in application in this field. Typical cases are e.g. Image Recognition, Object Detection, OCR.

Operation research

Improving operational efficiency while respecting real-world constraints.

Market Segmentation

Segmentation based on Demographic, Behavioral or Geographic characteristics.

some-fun-facts

We require neither special preconditions for project realization, nor highly specific and expensive technologies.

team

Core team

We believe in a diverse range of personel to bring creative skills, thoughts, and ideas to the table.

Josef Stejskal

Co-founder & Managing Director

Josef is a computer science and machine learning enthusiast. After graduating from the law faculty he works as a paralegal and leads the company, being responsible for contracts and all operational aspects. But not just that! Since 2013 the world of cryptocurrencies has captured his attention and now he wants to implement this knowledge into smart solutions based on them.

Tomáš Hubínek

Co-founder & Data Scientist

During his software engineering studies, Tomas worked at CERN, where he was creating and implementing complex mathematical and statistical models for data processing. After that, he worked as a Big Data consultant in a leading Czech consulting company and as a Data Scientist in the banking sector. He believes that technology makes the world a better place to live and wants to be part of the transformation.

Karel Šimánek

Co-founder & Data Scientist

Karel is the main generator of ideas in the team and an extremely innovative person. His deep expertise in all the technical aspects allows him to easily transform his ideas into a complete solution. During his studies of software engineering he worked as a software developer and analyst. Later he worked as a Data Scientist and became the leader of the Data Science team. He believes in the power of deep neural networks!

Pavel Zvolánek

Data Analyst

During his studies at Czech technical university Pavel started working as a Big Data consultant for leading consulting company. He was a part of the team that built Hadoop platform for the biggest Czech bank. He participated in several projects as a data analyst and implemented integration of Hadoop platform with various data sources. His dream is quite simple – he hopes that one day he would be able to replace himself with a software that he develops.

Zuzana Krbcová

Head of Research and Development

Zuzana is a PhD. candidate who focuses in her thesis on Image and Signal processing. A combination of deep mathematical knowledge and great developer skills makes her well suited for any advanced analytical task. She wants to push algorithmic and technological advances forward.

Jiří Kafka

Big Data Architect

During his studies at FNSPE CTU, Jiří participated in several projects which involved pattern recognition, C++ programming and 3D visualizations. He developed a picture recognition system for IKEM and worked as a mobile apps developer. Later he moved his focus toward Big Data and is the main expert in BigHub regarding Hadoop cluster technologies. However, he is also passionate data scientist! He loves to apply artificial intelligence and machine learning algorithms into everyday’s life.

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clients

Clients

Customer satisfaction is always in the first place!

BigHub created a comprehensive solution for strategic, data-driven business opportunities, based on new Big Data Platform for innogy Česká Republika. Linking and analysing the data, which has been until now locked and isolated in different proprietary systems, can help us to gain new business potential and bring cost savings.

BigHub has designed, implemented and integrated the entire platform in accordance with all of the top level technical demands required by enterprise standards. The environment was ready to be used within less than two months from the start of the project, including even the visualization platform for self-service BI and training for internal users. Since November 2017 we can, together with BigHub, fully focus on business solutions, including monitoring and improvement of gas grid maintenance, processing and deeper analyses of near real-time data from the telemetry, text analyses etc.

Milan Štěpánek, Head of Grid IT at innogy Česká republika a.s.
Maintenance of the gas network is one of the main activities for innogy in the Czech Republic – our technicians don’t need to do the previously needed loads of paperwork as they are getting work orders on their tablets for 5 years already. At the same time, we stand before the question, how to make better and more accurate customer service and how to redistribute tasks in accordance with sudden events. We believe the right path goes through better usage of our current data which we were unable to use sufficiently enough because of the technical and performance limitations. Big Data technology provided by BigHub that was used in innogy for analysing low-level maintenance operational data of the gas network made possible seeing our data way more illustratively and in a context in a very short time. Also, we got many new initiatives for improvement.

Outcomes were that much conclusive, we were able to present them to major shareholder representatives and it was decided to productionalize the BigHub solution as a whole. Concurrently we invited BigHub to be part of our strategy, making team in data domain, with the goal to overcome unavailability of critical data in source systems and to be able to gradually get a better knowledge of the business important parts. We selected BigHub to be our partner for the implementation of Big Data platform and application for the gas network maintenance.

Martin Götz, CEO at innogy Business Services CZ
GoodData Global Services cooperates with BigHub to boost our Machine Learning competence. BigHub contributes to real solutions for our key customers on many levels, ranging from idea-making to final delivery of advanced analytics models.
Martin Hapl, VP Services, EMEA at GoodData
T-Mobile aimed to boost its AI capabilities to strenghten its competitive edge. We appreciate expertise of BigHub who led us through entire decision making process and implementation in terms of selection, acquisition, configuration and utilization of the GPU-powered analytics platform. Moreover, we highly value fusion of both deep learning and platform engineering skills when delivering real business solutions.
Martin Holuša, Head of Big Data at T-Mobile Czech Republic a.s. & Slovak Telekom

BigHub created a comprehensive solution for strategic, data-driven business opportunities, based on new Big Data Platform for innogy Česká Republika. Linking and analysing the data, which has been until now locked and isolated in different proprietary systems, can help us to gain new business potential and bring cost savings.

BigHub has designed, implemented and integrated the entire platform in accordance with all of the top level technical demands required by enterprise standards. The environment was ready to be used within less than two months from the start of the project, including even the visualization platform for self-service BI and training for internal users. Since November 2017 we can, together with BigHub, fully focus on business solutions, including monitoring and improvement of gas grid maintenance, processing and deeper analyses of near real-time data from the telemetry, text analyses etc.

Milan Štěpánek, Head of Grid IT at innogy Česká republika a.s.
Maintenance of the gas network is one of the main activities for innogy in the Czech Republic – our technicians don’t need to do the previously needed loads of paperwork as they are getting work orders on their tablets for 5 years already. At the same time, we stand before the question, how to make better and more accurate customer service and how to redistribute tasks in accordance with sudden events. We believe the right path goes through better usage of our current data which we were unable to use sufficiently enough because of the technical and performance limitations. Big Data technology provided by BigHub that was used in innogy for analysing low-level maintenance operational data of the gas network made possible seeing our data way more illustratively and in a context in a very short time. Also, we got many new initiatives for improvement.

Outcomes were that much conclusive, we were able to present them to major shareholder representatives and it was decided to productionalize the BigHub solution as a whole. Concurrently we invited BigHub to be part of our strategy, making team in data domain, with the goal to overcome unavailability of critical data in source systems and to be able to gradually get a better knowledge of the business important parts. We selected BigHub to be our partner for the implementation of Big Data platform and application for the gas network maintenance.

Martin Götz, CEO at innogy Business Services CZ
GoodData Global Services cooperates with BigHub to boost our Machine Learning competence. BigHub contributes to real solutions for our key customers on many levels, ranging from idea-making to final delivery of advanced analytics models.
Martin Hapl, VP Services, EMEA at GoodData
T-Mobile aimed to boost its AI capabilities to strenghten its competitive edge. We appreciate expertise of BigHub who led us through entire decision making process and implementation in terms of selection, acquisition, configuration and utilization of the GPU-powered analytics platform. Moreover, we highly value fusion of both deep learning and platform engineering skills when delivering real business solutions.
Martin Holuša, Head of Big Data at T-Mobile Czech Republic a.s. & Slovak Telekom

Advanced Analytics and Information Management from Prague

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