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We build possibilities grounded in data

We build possibilities grounded in data

Precisely is today’s leading data integrity company with a remarkable heritage.

With more than 50 years of unmatched data expertise, we empower businesses to make more confident decisions based on data that’s trusted to have maximum accuracy, consistency, and context.

We accomplish that through our unique combination of software, data enrichment, and strategic services – a portfolio that’s earned high recognition from leading industry analysts and customers alike.

Today, Precisely powers better decisions for more than 12,000 global organizations, including 99 of the Fortune 100 – and the possibilities continue to grow.

We help to achieve data integrity by ensuring the accuracy, consistency and context of your data. This means you can make better, faster, more confident decisions based on a deeper understanding of data you can trust.

With unmatched data expertise, we support you through a unique combination of software, data enrichment and strategic services.

And our Data Integrity Suite, with its flexible, modular approach, can meet your needs no matter where you are on your journey to data integrity.

This leaves you to focus on what matters most – building new possibilities.

Our web pagehttps://www.precisely.com/

 

Da Vinci Studio

Da Vinci Studio

The da Vinci Studio join iBigWorld Hub.

Da Vinci Studio is a team of  enthusiastic and broad programming developers who love what they do. Web applications and Machine Learning have been our superpowers for over 13 years. We have implemented over 850 projects for over 200 satisfied clients around the world, including large enterprises and start-ups.

 

 

Contact on our webpage

A website design for athletes based on Big Data

A website design for athletes based on Big Data

The University of Bielsko-Biala realizes the project as part of BSc thesis.

The work involves using data on various forms of training to find solutions that are currently leading in the fitness market. The solution is based on data obtained from many sources and allows for taking into account the sentiment. The solution is based on a pipeline of data obtained from social networks and the expert experience of personal trainers. Information about the project will follow soon.

work supervisor: Marcin Bernaś (mbernas@ath.bielsko.pl)

Project of building a data “pipeline” taking into account Big Data aspects

Project of building a data “pipeline” taking into account Big Data aspects

The University of Bielsko-Biala realizes the project as part of BSc thesis. The subject of the thesis is to get acquainted with the available technologies that enable working on large data sets referred to as Big Data and to design a data pipeline based on specific assumptions. The process of creating a data stream covered the processes of obtaining, processing, analysing, applying and storing data. When designing the data pipeline, the author of the work used Google Cloud Platform tools. The Google Storage component made it possible to access the data storage container. The Google Dataproc service made it possible to create and configure the Hadoop and Spark cluster. In the created example, the author showed the transformation process of data obtained from the Twitter social network, extracting from its data on the customer’s opinion about the surveyed company. The next stage of work concerned the analysis of the obtained data, for this purpose the Google Data Studio platform was used, with the help of which charts, reports and statistics were created, enabling an in-depth analysis of the studied example. The obtained data was compared with the information available on the market.

 

work supervisor: Marcin Bernaś (mbernas@ath.bielsko.pl)

Start!

Start!

Welcome to Erasmus+ Innovations for Big Data in a Real World
(iBIG World) project website!

The Department of Computer Science and Automatics launched a new Erasmus+ Project entitled Innovations for Big Data in a Real World (iBIG World). The project aims to join together HEIs, business in order to address the competencies and compatible job profile. This collaboration will provide innovative solutions to develop BigData experts. The project’s learning framework is based on IEEE guidelines for big data in Machine Learning.

The project is carried out by a consortium of four universities: the University of Bielsko-Biała, University of Library Studies and Information Technology (Bulgaria), University of Nis (Serbia), and Taras Shevchenko National University of Kyiv. The consortium is coordinated by professor Vasyl Martsenyuk.  

 Find out more about the project: http://ibigworld.ni.ac.rs/

Contact the project team: erasmusibigdata@ath.edu.pl