Turn data into knowledge

Transform your company's information into a unique competitive advantage. By connecting, organizing, and deploying your data, you'll empower both your teams and AI assistants to operate with unprecedented effectiveness.

Organize your data

Keep your finger on the pulse with organized data

You're gathering a wealth of information from various sources within your organization, but is your data a goldmine or a landfill?

Dispersed data that doesn't communicate with itself is tough to leverage, especially with the growing number of AI solutions that literally feed on data.

Your data is your company's unique asset—use it to drive business growth.

Gain a single source of truth

Make accurate decisions

Increase AI readiness

Ensure security and performance

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Common data challenges faced by companies

66%

struggle with dark data

Identified by Gartner, "dark data" refers to the vast amounts of information that accumulate in various systems but remain unused and forgotten. This data acts as digital ballast when it could be a hidden treasure.

70%

face data issues when
implementing AI

AI is a powerful technology, but its effectiveness hinges on the quality and accessibility of the data it's fed. According to McKinsey & Company, the vast majority of companies fail to harness its full potential due to disorganized data.

62%

encounter security difficulties

Problems related to data security, as identified by Google, often stem from a lack of knowledge about exactly where and what information is stored within the company, and how it can be protected.

Discover the process of effective Data Management

A clear picture of your situation is fundamental. Learn the path your data takes to become your solid foundation for decision-making.

Data Collection and Storage

It all begins with obtaining data from diverse sources—these can include internal systems (e.g., CRM, ERP), websites, mobile applications, or external databases. Once collected, the data is stored in appropriately chosen locations, such as cloud-based data warehouses or data lakes, ensuring both security and accessibility.

Data Quality and Governance

Data quality is key to reliability. This stage involves ensuring data is accurate, complete, consistent, unique, and up-to-date. Processes like data cleansing (eliminating errors, duplicates), validation (checking compliance with defined rules), and normalization (standardizing formats) are put in place. Establishing data governance policies and procedures is also part of this stage.

Data Integration and Organization

Given the widespread diversity of tools used within companies, data integration is essential. This involves combining information from various sources into a single, cohesive dataset. The goal is to create a unified view of all relevant data. Subsequently, the data is organized and structured so it's easy for users and analytical systems to search, analyze, and understand.

Data Security

Data protection is a business imperative. This stage focuses on implementing security measures that safeguard data from unauthorized access, disclosure, modification, or destruction. This includes access management, encryption, data backup, and monitoring to detect and respond to potential threats.

Data Analystics and Visualization

This is the point where organized data transforms into practical knowledge. Data is analyzed using various techniques and tools to identify trends, patterns, and valuable insights that support decision-making. The results of these analyses are then visualized through interactive dashboards, charts, and reports. This makes complex information understandable and allows it to be effectively used to support business goals.

They trusted us:

Unlock AI capabilities in the world of data

Automation

Machine Learning and Artificial Intelligence (ML & AI) enable the automation of many routine tasks, such as data cleansing, categorization, and transformation into a unified format. These automations significantly speed up data preparation for analysis and reduce manual errors.

AI Analytics

Artificial Intelligence can detect complex patterns and anomalies in vast datasets that are difficult for humans to spot. It also allows for predicting future trends and generating advanced reports and clear data visualizations based on natural language queries (prompts).

Company AI Agents

Advanced programs capable of autonomously performing specific business tasks can support employees in their daily work, respond to inquiries, automate processes, or analyze large datasets. Their effectiveness depends on the quality and accessibility of the data they rely on.

The critical importance of data in your industry

Retail

In retail, data is the foundation for personalization and sales optimization. Disorganized customer data, inventory levels, or transaction records lead to an inability to forecast demand, inefficient inventory management, and lost opportunities for targeted marketing campaigns. Consistent data allows for understanding the customer journey, optimizing the supply chain, and increasing loyalty.

E-commerce

For e-commerce, data is vital. Information chaos results in inaccurate product recommendations, customer service issues, and ineffective advertising campaigns. When data is organized, sales platforms can dynamically personalize offers, optimize conversion rates, and build long-term customer relationships, increasing their lifetime value.

Manufacturing

In the manufacturing sector, data determines efficiency and quality. Fragmented information from production lines, sensors, or warehouse management systems leads to equipment failures, material waste, and suboptimal production planning. An organized data system enables predictive maintenance, optimization of technological processes, and an increase in the operational efficiency of the entire factory.

IT Software Providers

For software providers, data quality is crucial for product development and customer support. Disorganized data about users, bugs, or application functionalities means lower product quality, longer response times for issues, and a loss of customer trust. Consistent and accessible data enables rapid development iterations, effective technical support, and the creation of innovative solutions based on real market needs.

Regulated Industries

In heavily regulated industries, data disarray is not just a business problem, but a legal and reputational risk. A lack of consistent and documented data hinders compliance with regulatory requirements, audits, and reporting to supervisory bodies. Organized data management is key here for minimizing the risk of penalties, maintaining information integrity, and building trust.

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Hand over data organization to experienced specialists

As one of the few companies in Poland, we hold the prestigious Google Cloud Data Analytics specialization. This signifies our proven and verified proficiency in leveraging the full Google Cloud ecosystem for data management and analysis. For over a decade, we have been designing and implementing comprehensive strategies and innovative solutions for our clients, transforming raw data into strategic assets and a key source of their competitive advantage.

Monetize your data with FOTC

Data Care

Implement a data organization plan to create a single, reliable source of company information. This will allow you to optimize key business processes and unlock new growth opportunities.

Google Data Cloud

Leverage the power of the Google ecosystem with a comprehensive solution that helps organize the entire lifecycle of your data within a scalable and secure Google Cloud environment.

AI Care

Implement AI solutions, effectively utilizing artificial intelligence for increasingly advanced applications. Approach transformation comprehensively, focusing on technology, data, processes, and people.

Your questions
answered.

Data management is the process of organizing, storing, securing, maintaining the quality of, and visualizing data across an entire company. It's crucial because it transforms dispersed information into a single, reliable source of truth, enabling strategic decisions, process optimization, and the full utilization of new technologies like AI.

Simply collecting data is just the beginning. Without a consistent architecture and effective management, data often becomes a burden rather than an asset. By partnering with FOTC, you can transform these vast, scattered pieces of information into structured knowledge that's easily accessible, understandable, and ready for action—not just for storage.

Investing in data management yields tangible benefits, such as reduced operational costs (thanks to automation and error elimination), increased team efficiency, identification of new revenue streams (through deeper market analytics), and minimization of risks related to regulatory non-compliance and cybersecurity. It's also an essential step for effective AI utilization. This is a strategic investment in your company's future.

The duration of the process depends on many factors, such as the scale and complexity of your current data architecture, the number of data sources, and industry specifics. Our approach is based on phased implementation and close collaboration, which allows for achieving measurable results even in the early stages of the project.

AI revolutionizes data management through the automation of routine tasks (e.g., data cleansing), advanced analytics (detecting patterns, predicting trends), and the creation of intelligent agents that support employees. High-quality, organized data is the absolute foundation for the effectiveness and reliability of any AI-driven solution.

A Single Source of Truth (SSOT) is a concept where all key organizational data is stored and managed in one consistent, unified, and reliable location. Your company needs it because it eliminates discrepancies in reports, conflicting information from different departments, and the constant need for data reconciliation. By having a single source of data, every decision is made based on the latest and most precise information, which significantly increases operational and strategic efficiency.