follow usData Framework & Data Warehouse
A central structure for structured and scalable data analysis, enabling continuous data-driven decision-making.
Data Analytics and Big Data
More value from your data
Leverage the full potential of your data! With our data science solutions, we transform complex data into valuable insights. Supported by cutting-edge technologies such as Hadoop, Spark, and Machine Learning, we help you make data-driven decisions, respond flexibly to market changes, and optimize your business.
Our Services in Data Analytics and Big Data
Tailored solutions for your needs
Process and Efficiency Optimization
Automation and efficiency improvement through the use of machine learning and modern optimization methods.
Market Monitoring
Real-time analysis to quickly and accurately respond to market changes, securing competitive advantages.
Big Data & Data Mining
Scalable tools for analyzing large data sets and pattern recognition, uncovering new business opportunities.
Data Visualization
Intuitive and interactive visualizations using Tableau and Power BI for a clear representation of your data.
Technologies & Tools
We use in data science and big data
- Hadoop: Processes large datasets distributed across many low-cost servers.
- Spark: Enables fast data analytics through in-memory, high-performance processing technologies.
- Machine Learning: Learns from data, identifies patterns, and generates predictions.
Why choose Digacon
as Your Partner in Data Analytics and Big Data?
Tailored and Customized Business Solutions
We don't offer off-the-shelf services. Instead, we develop bespoke solutions precisely aligned with your business requirements. Our scalable and flexible concepts are designed to drive sustainable business growth and long-term success.
Deep Industry Expertise and Proven Experience
Our team brings extensive knowledge in ITIL, ERP systems, and cutting-edge technologies. With years of cross-industry experience — including automotive, manufacturing, and construction — we understand your sector’s challenges. As a certified UiPath partner, we also deliver high-quality automation solutions.
Holistic and Cross-Functional Approach
From initial requirements analysis through to implementation and employee training, we combine IT expertise with business domain knowledge. Our close collaboration with key stakeholders ensures all perspectives are considered, resulting in optimized and future-proof processes.
Efficient Project Management and Risk Mitigation
We manage projects using structured PMI-compliant methodologies. Through proactive risk management and transparent communication, we reduce uncertainties and ensure smooth, on-time project delivery.
Advanced Technology and Data Expertise
Leveraging tools such as Hadoop, Spark, Tableau, Python, and R, we integrate data and technologies seamlessly into your existing systems. More than just delivering data, we provide actionable insights and strategic solutions that deliver measurable business impact.
How We Work
Our Process – Step by Step to Successful Integration
Needs Analysis
We analyze your existing data sources and identify optimization opportunities.
Development of a Data Framework
Implementation of a central data warehouse and provision of necessary interfaces.
Machine Learning and Data Mining
Building and training models for pattern recognition and decision automation.
Visualization and Interpretation
Creating dashboards with Tableau or Power BI to present complex data in an understandable way.
Training and Support
Supporting your teams in using new tools and methods.
Development of an online portal & digital touchpoints
Success Story
Interested in our
services?
Get in touch with us!
Have questions, feedback, or need assistance? Contact us on
info@digacon.com or +49 151 1556 1852
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FAQ
Answers to the most frequently asked questions
- Our experts use proven tools like Hadoop and Spark for efficient processing of large data sets. Depending on the requirements, we also combine these with technologies like Python and Tableau.
- Machine learning enables the automation of repetitive tasks, uncovers efficiency potential, and generates data-driven forecasts that sustainably improve your business processes.
- A data warehouse allows for structured and scalable storage of your data. This facilitates analysis, improves data quality, and leads to better decision-making.
- We develop real-time analysis solutions that detect market trends early and help you make quick, informed decisions.
- The first step is a detailed needs analysis to define your goals. We then develop a tailored data framework and guide you through the entire implementation process.
- A data warehouse enables centralized storage and organization of your data, making analyses more efficient and facilitating data-driven decisions. It serves as the foundation for reporting and complex analyses.
- Data mining identifies patterns and trends in large data sets, which can be used to improve business processes, uncover market opportunities, and enhance customer retention.
- We rely on powerful technologies like Hadoop, Spark, Python, and R to efficiently process large data sets and perform in-depth analyses.
- Machine learning can automate processes, make predictions, and optimize decision-making by learning from historical data and applying insights to future scenarios.
- Tableau and Power BI provide intuitive, interactive visualizations that make complex data easier to understand. They help quickly identify trends and support informed decision-making.