Data & AI

Reliable data, intelligent analytical solutions, better decisions.

Data Analytics Platforms

We support companies in building modern data analytics platforms aligned with their digitalization strategies. We specialize in designing and developing architectures that support batch, streaming, and hybrid processing, including enterprise-grade Big Data solutions. The platforms we create encompass both classical approaches – centralized data warehouses, ODS databases, and Data Marts – as well as modern Data Lakes and Data Lakehouses.

We design and implement ETL and ELT data pipelines, integrating diverse sources, transforming, and loading data in line with business models and analytical logic. We ensure a Single Source of Truth – consistent, high-quality, and integrated data that serves as a reliable foundation for reporting and analytics.

The graphic shows various data connected by the data analytics platforms.

Our data management approach is tailored to the specifics of each organization – from centralized models to distributed data mesh concepts. We also support building a Data as a Product concept, where data is organized into domains, has clearly defined ownership, and is treated as a full-fledged product.

The solutions we design address a wide spectrum of analytical aspirations – from traditional reporting and ad-hoc analysis, through applications in machine learning and Data Science, to modern artificial intelligence technologies, including cognitive and generative AI – delivered as part of our advanced analytics solutions. Regardless of the chosen approach, the final solutions always include an analytical and reporting layer.

Data analytics platforms can take the following forms:

Data Warehouse

We provide our clients with classic data warehouses or their parts in the form of:

Operational Data Store (ODS).
Data Mart.
Central data warehouse.

Data Lake

In a situation where traditional data warehouses are unable to cope with the implementation of new use cases or they reach their limits due to the variety, volume or costs of storing data, the Data Lake may be the solution.

Features:

A data repository based on any file formats.
It can store a large volume of unstructured, semi-structured and fully structured data.
ELT-type feeding processes.

Data Lakehouse

If your organization is looking for a unified data platform that combines the benefits of data warehouses and data lakes, Data Lakehouse may be the perfect solution.

Features:

Computing resources separated from the file repository of unstructured, semi-structured and fully-structured data stored.
Open data formats, such as Delta Lake, Apache Iceberg, supporting transactionality, ensuring data schema compliance and “time travel”.
Access to data via API.
Central management of metadata and data access.

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Data visualisation in the Nexo application

If you have been following our publications on the Nexo app, you already know some of its capabilities. It is an IoT tool that allows you to manage multiple devices from different manufacturers in a unified way and create smart networks at the scale of a flat, a building, or even a city. Manual data […]

Written by:

Grzegorz Michalski

Published on: 20 Apr 2023

Data Integration & Optimization Solutions

We implement database solutions tailored to the client’s needs, including synchronization mechanisms and data extraction tools from various sources. We help solve performance problems in databases, even those initially well-designed. Our experts analyze the causes of problems and provide technical recommendations to improve the system. At the request of your organization, we will implement these solutions and train employees in good practices for using databases to enable AI & Data analytics use cases.

Displaying the data analytics dashboard needed for integration and optimization. Business and financial investments. Informative reports on business strategy in the area of investments.

Reporting & Data Visualisation

We design and deliver reporting solutions (bi solutions) that support the strategic, tactical, and operational activities of organizations. Our reports enable tracking progress and performance of ongoing initiatives, enhance decision-making, and streamline information sharing both internally and externally. Well-designed reports provide a foundation for identifying trends, weaknesses, and errors, while remaining fully adaptable to specific business, technical, and regulatory requirements.

We specialize in the design and implementation of reports built on optimized data sources, including relational databases and OLAP cubes. We implement Tableau, Grafana, and Power BI solutions, carefully selecting the right platform based on technical (visualization, sharing), licensing, and security requirements.

Our approach includes:

A system for creating reports and data visualizations.

Integration of diverse data sources (databases, files, cloud services).

Design of tailored data models (e.g., star, snowflake) and their optimization for query and visualization performance.

Scheduled and periodic reporting (daily, monthly, annual) with access to historical data.

KPI reporting aligned with business schedules, as well as ad-hoc reports and analyses.

Reporting for different stakeholder groups – from executives to operational teams.

Real-time dashboards, delivering concise, accurate insights with drill-down capabilities.

Data quality reports, supporting effective governance through analysis of completeness, accuracy, consistency, and timeliness, as well as detection of potential issues.

AI Services

Artificial intelligence in industry and energy enables the transformation of process and equipment data into intelligent tools that support daily work. We offer data preparation for AI applications as well as the implementation of solutions based on machine learning models, LLMs, and both cognitive and generative artificial intelligence. This makes it possible to predict failures and plan maintenance (Predictive Maintenance), forecast energy production from wind and solar farms, optimize manufacturing processes and supply chains, and automate real-time quality control by using Computer Vision to detect defects and non-conformities.

We possess unique expertise in integrating AVEVA Connect with Databricks, which enables new use cases for AI and advanced analytics solutions.

Businessman using artificial intelligence technology for data analytics

Our AI services also include the use of LLMs to work with technical documentation and procedures, as well as the creation of digital twins that allow for the simulation and optimization of processes. Complementing these are intelligent AI assistants that support operational decision-making by providing reliable real-time recommendations.

We will support your organization in adopting and building data & AI-driven solutions – from machine learning to cognitive and generative AI – tailored to your industry specifics and business objectives.

Our solutions are built on technologies from leading providers such as Microsoft, Google Cloud, and Databricks.

Data Science Services

The primary goal of work in the area of Data Science is to extract valuable insights from data sets. Through advanced analytical methods, companies can increase competitiveness and operational efficiency, while also making more accurate business decisions. Data Science services support data analysis, trend forecasting, process automation, and the delivery of personalized solutions for customers.

We offer comprehensive Data Science services that help fully unlock the potential of data. Our team of experts, with experience in global projects, supports organizations in analytics, predictive modeling, machine learning, and data management. We transform data into valuable insights that drive growth, innovation, and accelerate AI & Data analytics across the enterprise.

A female IT engineer working in data science services. She works in a room with two monitors.

Our scope of services includes:

• Data cleaning – detecting and correcting inaccurate information in data sets.
• Data analysis – turning data into useful insights that support the decision-making process.
• Data modeling – building models, training, and inference using machine learning methods.

• Classification and clustering – dividing data into classes and segments.
• Anomaly detection – identifying deviations from typical patterns.
• Forecasting – predicting future events based on historical data (e.g., energy consumption in the following month).

• Filling in missing values – increasing data consistency by completing gaps with values estimated from data relationships.
• Presentation of results and communication – creating reports, dashboards, and visualizations that make outcomes easier to understand for stakeholders.

Thanks to our Data Science services, organizations gain not only data-driven knowledge but also real support in decision-making, developing innovative products, and increasing operational efficiency.

Contact us

Ready for digital transformation in utilities or manufacturing?

Want to integrate SCADA or other enterprise systems and get your data in shape?
Struggling with gaps in production or grid analytics, or slow deployments?
With ConnectPoint you get a clear path: we integrate systems, build and operate Data & AI platforms, design cloud and on-prem architectures, connect IT with OT/IIoT, and deliver industrial software. Tell us your goal — we’ll come back with a specific recommendation and next steps.