C&I Cloud Solutions

DATA ENGINEERING | EDGE CLOUD

\ Q-ant .

Q-ant is a football data management platform that provides deployment and maintenance of a club's isolated data environment, adding and integration of multiple football data sources into easy-to-use data tables, and creation of analytics reports, all within an intuitive web interface. www.q-ant.com

Q-ant

\ Edge Orchestration .

C&I specializes in edge computing tools development and data engineering services. Our Edge Orchestration tool provides easy and intuitive edge nodes, microservices and devices management.

Edge Orchestration tool

Distripute!

\ Data Services .

C&I's expert teams assist clients in the development, application and cloud integration of the data-driven systems and system components. Our skill set for complete data solutions, backed with years of experience, and a flexible team size enables fast-track to the project goals. We provide a "glue" between all the different data components you want to integrate and utilise.


Data Structuring

C&I's data structuring team works on data extraction, transfers, merging data sources, scraping, parsing, cleansing and data quality management. Our work secures data availability for reporting, testing projects feasibility, and for efficiently feeding the client's existing processes.

Data Infrastructures and Web Apps

Our Infrastructures and Web Apps team builds custom cloud data infrastructures and elements integrable with the client's current data components and systems. Developed databases, processing pipelines, analytics sandboxes, web apps, and integrated BI tools enable the client to collect, access and utilise the data efficiently, regardless of the technologies and suppliers diversity in the client's ecosystem.

Quantitative Metrics and Data Systems R&D

We provide data science R&D support for client's analytics teams. Our Quant team is developing machine learning based metrics for sports, media, production optimisation and computer vision. Our Data Systems R&D team is focused on edge computing and edge orchestration systems.

\ Works .

C& I's data services are widely applicable in the corporate and R&I. In the past ten years, C& I's engagement is especially strong within sports (particularly football), media big data systems, and general corporate operations. In parallel, C&I is developing computer vision products and the edge computing orchestration tool service.

  • Football FRM, Marketing, Sales, and Performance Infrastructure

    Club-customised data IT Environments are efficiently managing the ingestion, structuring and the use of the fan, retail, or the football match performance event, spatial and scouting data. We are utilising all club's previously acquired IT elements, integrating new ones, as well as developing custom web applications. […]

  • Football Performance Quantitative Metrics

    C&I developed quantitative metrics based on the event, scouting and spatial data. Applied methods range from simple regressions to deep learning neural networks. Metrics were built as C & I's off-the-shelf tools, while many are developed for our clients and integrated within their systems. Examples include Fair Transfer Value Estimation, Injury risk, and Team and Player performance rating. […]

  • Azure Based Environment Integration 1

    Azure deployed environment with the use of Azure Data Factory pipelines, Databricks+Spark with the goal to supply clients data-driven analytics of the business performance. The projects included various 3rd party data suppliers, Salesforce, and other marketing and retail tools. It integrated customer, ticketing, sales, sponsorship and media, and financial data sources. Technologies list: C#, Python (PySpark), Azure cloud components, Poser BI. […]

  • Full Metal Cloud Analytics Environment Integration

    BigStep Full Metal Cloud deployed environment with the use of ExaSol in-memory databases, MS SQL databases, web scrapers (C#), custom web applications, and the Tableau BI tool. The system needed to support overnight automated high load transfers (event, spatial, and other data), parsing and data cleaning from multiple data sources. The project included the development of multiple machine learning based metrics used for further reporting. Technologies list: C#, ASP.NET MVC, Mongo, Neo4J, Python (Scikit-learn, Tensorflow), MS-SQL, Exasol SQL, Tableau, R, Stata, Tableau. […]

  • Azure Based Environment Integration 2

    Azure deployed environment with the use of Azure Data Factory pipelines, Databricks+Spark, web scrapers (C#), Azure SQL database, and the Tableau BI tool. The system needed to support overnight high load transfers, parsing, data cleaning and data integration from multiple data sources. Technologies list: C#, Python (PySpark, Scikit-learn, Tensorflow), Azure cloud components, Azure SQL, Tableau, Angular, JS, Tableau. […]

  • Full Metal Survey Analytics Environment

    BigStep Full Metal Cloud deployed environment with the use of Python scripts, R analytics, PostgreSQL databases and the Tableau BI tool. The system needed to support the quarterly transfer of a highly unstructured survey data, its cleaning structuring, parsing and high-end analytics processing. Technologies list: Python, R, PostgreSQL, Tableau, JS. […]

  • AWS Based Environment Integration - Audience Analytics

    AWS deployed environment with the use of R scripts for audience estimation, MS SQL and the custom web application for data import, check and analytics. The project included the development of the model for the estimation of the TV audiences for the unmetered markets. Audience estimates calculation was automated and triggered through the web app interface. Technologies list: C#, ASP.NET MVC, R, MS SQL. […]

  • AWS Based Environment Integration - Performance Analytics

    AWS deployed environment with the use of Spark, and the Postgres database, custom web applications, and the Tableau BI tool. The system needed to support overnight high load transfers, parsing, and data cleaning from multiple data sources, as well as scraping (performance, spatial, geo&demo, sports data). The project included the development of multiple machine learning based metrics used for further reporting. Technologies list: C#, ASP.NET, React, Mongo, Postgres, Python (PySpark, Scikit-learn, Tensorflow, Keras), Spark, Tableau. […]

  • Full Metal Survey Analytics Environment

    BigStep Full Metal Cloud deployed environment with the use of Python scripts, R analytics, PostgreSQL databases and the Tableau BI tool. The system needed to support the quarterly transfer of a highly unstructured survey data, its cleaning structuring, parsing and high-end analytics processing. Technologies list: Python, R, PostgreSQL, Tableau, JS. […]

  • Team's Structural Strengths Detection Tool

    The tool shows where on the field the attacking team's (blue dots) can complete their actions more efficiently and prevails over the defending team's (red dots) cover values. The warmer the colour the attacking team has, the more significant advantage in that area of the field cover-wise the attacking team has. […]

  • Similar Players Scouting Tool

    The tool enables scouts to search for similar players where their similarity is based on their performance, spatial characteristics and response on opposing teams pressure and tactics. […]

  • Player Pressure/Overload Detection Tool

    This tool shows a relative pressure (overload) on players in the attacking (defending) phase by players in the defending (attacking) stage. […]

  • Optimal Passing/Defence Live Analysis

    This tool analyses player's passing options, as well as the quality of positioning of the players without the ball in possession and their influence on the pass success and decisions of the player with the ball in possession. In every moment, the algorithm considers several scenarios. […]

  • TV Audience Estimation Systems

    C&I's team developed, for multiple media customers infrastructures and systems for estimation of TV Ratings targeted on metered and non-metered markets. The system was focused on football and motorsports TV content. […]

  • Q-Ant Web Application

    Web application acting as the decision support tool based on the event data. […]

  • Football Data Management Application

    React-based web application for managing football event data.[…]

  • Football Spatial Tracking

    Our internal project. The idea is to extract spatial data by recognising the football players and their movement form the video feeds of matches and training sessions. The product is in the high working prototype phase. […]

  • Edge Computing Orchestration Tool

    Edge computing is a distributed computing paradigm that brings computation and data storage closer to the location where it is needed, rather than relying on a central location that can be thousands of miles away, to improve response times, increase security and save bandwidth. We're developing Edge orchestration service and the edge node software.[…]

  • PharmacoEconmic Studies

    Our team worked on the calculations supporting Pharmacoeconomic studies. It included budget and health impact simulation of the new drug market introduction.[…]

  • Agrimatica

    EThe Agrimatica is a quantitative decision support system for the winemaking industry. It optimises vineyard processes and vinery grape processing to get more control over logistics problems that arise from the complexity of the logistics in the winemaking industry.[…]

  • Fintech

    Our fintech works included financial indices construction, macro/micro forecasting and now-casting, design of quantitative scorecards and credit rating systems, behavioural market segmentation, stress testing, churn modelling.[…]

  • Google Cloud Based Environment Integration 1

    Google deployed environment with the use of BigQuery database, Python scripts for import and cleaning and the Google Data Studio tool. The system needed to support overnight high load transfers (audiences, customer, geo&demo, and other data), parsing, and data cleaning form the unstructured and structured data sources. Technologies list: BigQuery, Google cloud components (Cloud scheduler, Cloud storage), Python, Google Data Studio.[…]

\ Our Story .

Since 2011, we're providing data R&D and data systems integration services and assists clients in the application of the data-driven approach. Our agile approach to projects delivers fast results, and we're a perfect partner to corporates that benefit from our ability to test, boost and carry the data projects. We're developing a number of off-the-shelf data products, both labelled and white-labelled. We excel in Data Science, Data Integrations and Web-Development, and we're creating dedicated teams for each of the three areas needed for our projects. In the past years, our work was used largely in the sports-related data projects, and we are servicing some of the largest sports groups and organisations. Our team management and work procedures are highly compatible with large corporates standards which makes us a favourite choice in the data system elements integration and data science R&D support.

\ Tools .

  • C#, C++, Java, Python, Go, ASP.NET, Entity Framework, JQuery, HTML, CSS, MS SQL Server, ExaSolution, NoSQL databases, Spark, React, Angular, Vue, Tableau, SpagoBI, PowerBI, Google Data Studio, Neural Networks, Keras, Tensorflow, Regression techniques, Random forests, Panel data analysis, Clustering, PCA, Metaheuristic algorithms, Docker...

    • Contact .

    C&I d.o.o.

    • Ksaver 126, Zagreb 10000, Croatia, EU
    • +(385) 4855310
    • +(385) 4855410