Data platforms

Expand your analytics capabilities. Take control of your data with an advanced data platform.

  • Solutions area
  • Data Platform

Take control over your data

Organizations are creating more data than ever and are looking to leverage as much of that data as possible to accelerate digital transformation, increase brand recognition or achieve other tangible and intangible business benefits.


Implementing a data platform is one step in extracting value from that data. It is the foundation that supports all data-related activities, from data acquisition to analysis and visualization.

bi Master Data Management

bi Data Quality Management

bi Data Catalog & Business Glosary

bi Data Discovery

We demonstrate the value of your data

We deploy data platforms in the cloud, locally or hybrid
We help modernize technology and transformation to enable data-driven decision-making across the company.

Data platform

IS AN INTEGRATED SET OF TECHNOLOGIES THAT TOGETHER ADDRESS AN ORGANIZATION'S COMPLEX DATA NEEDS ACROSS THE ENTIRE SPECTRUM OF SYSTEMS.
COMPREHENSIVE DATA ANALYTICS SOLUTIONS WITH A SET OF FINELY TUNED LIBRARIES AND APPLICATIONS, INTEGRATED IN A WAY THAT ALLOWS FOR EFFICIENT WORK AND HARMONIOUS EXPERIENCES FOR ENGINEERS AND DATA ANALYSTS USING THEM.
SUPPORTS ALL DATA TYPES, INCLUDING STRUCTURED, UNSTRUCTURED AND SEMI-STRUCTURED DATA. IT IS SCALABLE AND INTEGRATES WITH ALL OTHER SYSTEMS IN THE ENTERPRISE.
Data storage

Storing and processing data, creating new data pipelines to deliver use cases and large-scale data products.

Full data view

Provide users with a complete view of the data and allow them to easily access and analyze the data.

Self-service

Self-service data access that puts innovation and opportunity at your fingertips.

Data management

It enables the acquisition, management, storage, preparation, delivery and management of data and provides a layer of security for users and applications.

Source integration

Rapid deployment of new employees-integration of various sources of information and data. Immediate understanding of data in the organization.

Real time

Real-time access to key information enables faster understanding and engagement in new tasks.

PROBLEMY, Z KTÓRYMI MOGLI SPOTKAĆ SIĘ KLIENCI I PD BĘDZIE DOBRYM ROZWIĄZANIEM

Problem z przewidywalnością kosztów wykorzystywania chmury publicznej
Problem z volume: klasyczna baza relacyjna, wolumen danych – kolumnowe bazy danych

3V lub5V

  • cloud native

Some use cases data platforms:

  • Tworzenie aplikacji kontekstowych opartych na danych
  • Przechowywanie i zarządzanie danymi we wszystkich ich odmianach
  • Analizowanie danych w całym spektrum typów danych przy użyciu jednego interfejsu zapytań
  • Wyświetlanie danych za pomocą aplikacji opartych na świadomym wyszukiwaniu
  • Wizualizacja danych jako całości
  • Raportowanie ponad silosami danych i granicami organizacyjnymi
  • Monitorowanie i zarządzanie danymi, w tym ich ładem, bezpieczeństwem, pochodzeniem i wartością zasilanie, rozszerzanie i pozyskiwanie danych z innych repozytoriów danych, takich jak hurtownie danych, jeziora danych
  • Czyszczenie i wzbogacanie danych do wykorzystania w analityce opartej na sztucznej inteligencji.
  • Przeprowadzanie analizy opartej na obiektach i działaniach z wykorzystaniem wiedzy o danych, a nie samych danych.

Business and Analytics:

Data platforms support organizations in analyzing business data, monitoring performance, identifying market and consumer trends, forecasting demand, optimizing operational processes, analyzing marketing effectiveness and making strategic decisions.

Finance and Banking:

In the financial sector, data platforms are used for risk management, value estimation, portfolio analysis, fraud detection, offer personalization, investment recommendations, financial market analysis and compliance monitoring.

Healthcare:

Data platforms in the healthcare sector help analyze medical data, diagnose, predict diseases, personalize treatment, optimize hospital processes, manage patient data, analyze genetic data and support clinical trials.

Industry and Manufacturing:

In industry, data platforms are used to monitor and analyze IoT sensor data, optimize manufacturing processes, plan inventory, predict machine failures, analyze quality, optimize the supply chain, and improve energy efficiency.

Trade and e-commerce:

In the retail sector, data platforms support data analysis of customer behavior, customer segmentation, personalization of offers, product recommendations, shopping cart analysis, demand forecasting and inventory management.

Scientific research:

In the field of scientific research, data platforms are used to analyze experimental data, numerical modeling, process measurement data, analyze genomes, simulate, discover new compounds and patterns, and support interdisciplinary research.

Zobacz nasze wdrożenia

Platforma danych może być lokalna, w chmurze lub hybrydowa. W idealnym przypadku jest to rozwiązanie jednego dostawcy lub może to być połączenie zintegrowanych najlepszych w swojej klasie technologii (chociaż podejście skoncentrowane na integracji zwiększa złożoność). Ponadto platforma danych musi być w stanie skalować się, aby zaspokoić potrzeby organizacji jako całości.

Core values
and functionalities that are expected from a coherent and flexible analytics platform:

Complementarity of individual tools while excluding unnecessary overlap of their area of responsibility when covering all stages of a data science project,

Seamless upgrade and guarantee of platform security by ensuring compatibility of libraries and versions of software modules,

Low barrier to entry thanks to well-known component parts from community-trusted repositories.

TECHNOLOGIA / INŻYNIERIA DANYCH

Podział na elementy składowe PD ?? – do omówienia

  • Unified Analytics
  • Data Fabric?

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LET US DISCOVER THE VALUE OF YOUR DATA,
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