Why does it matter?
Until recently, Big Data was discussed mainly in the context of the largest corporations. Today, virtually every organization that wants to make sound business decisions needs the ability to analyze continuously growing volumes of diverse data from multiple sources quickly. High-quality data delivered on time can also be monetized, creating an additional source of revenue for the company.
At Astrafox, we build easily scalable, cost-effective Big Data environments that enable clients to:
- Store unlimited volumes of data.
- Use cloud computing power to integrate data from multiple sources quickly.
- Build solutions that monitor data quality.
- Analyze data in real time through data streaming.
- Use secure, proven solutions for sharing data with other organizations.
How do we work?
We deliver comprehensive Big Data solutions based on proven cloud technologies such as Snowflake, Azure, AWS, Google Cloud Platform, and Databricks. Using our software engineering expertise as well as low-code and no-code tools such as Alteryx, Power BI, and Tableau, we prepare high-quality data sources for daily reporting.
We work with clients at every stage of building, maintaining, and using a Big Data environment—from data collection and storage, through processing and analysis, to visualization and reporting.
Data collection and storage
Storing and organizing data is the first—and critical—step toward unlocking its potential. We efficiently collect and store data from different sources, building robust, flexible management systems. We use the latest technologies from established providers to ensure that all data is collected, organized, and secured correctly. We handle the technical aspects of the process so the company can focus on what matters most: using data to grow the business.
Data processing and analysis
Once data has been collected, processing and analysis become the central tasks. Data needs to be stored securely and processed efficiently so users with different needs can access it quickly. We ensure that data is secure, accessible, and useful. We use powerful cloud computing resources for fast data processing, which is critical to effective analysis. Our solutions provide both performance and flexibility, enabling the system to scale with the company's current requirements.
Visualization and reporting
Data analysis is only half the task. The next stage is presenting information effectively, which is critical to informed business decisions. Information needs to be shown in a simple, understandable way. We use advanced data visualization and reporting tools such as Tableau, Power BI, Qlik, and Data Studio. We turn complex datasets into clear reports and charts that make data easier to understand and apply in decision-making.
Forecasting
Data analysis does not end with understanding the past. We forecast trends and events that can affect the business. Using advanced data analysis techniques, we predict possible scenarios to support informed, data-driven decisions. Our predictive models not only show what could happen, but also optimize business processes and increase operational efficiency. Learn more in Data Science.
Maintenance and optimization
Building and implementing a Big Data system is one step; maintaining and optimizing it is equally important. The systems need to remain efficient and comply with company policies and industry regulations. We monitor systems, analyze resource use, and manage data environment or cloud costs. We also adapt them to changing business needs and new regulatory requirements.