Data Analysis

Data preparation, visualization and analysis for informed business decisions. We help you gain valuable insights from your data.

Overview

Our data analysis services enable you to structure, visualize and derive informed business decisions from complex data sets. Whether for reporting, forecasting or operational optimization — we use modern tools to bring your data to life and deliver real value.

Benefits

Informed decisions — Data is prepared so you can derive concrete and measurable business decisions.

Visual clarity — Modern visualization tools present complex data in an understandable, interactive form.

Prediction models — Machine learning models predict revenue, demand, capacity and failures.

Automated reports — Dashboards and reporting systems regularly deliver current insights without manual effort.

Data integration — All data sources are consolidated: ERP, CRM, IoT, web analytics and external APIs.

ROI proof — Measurable improvements through data-driven optimizations are transparently documented.

Our Process

Data Collection & Preparation

We analyze your data sources and clean, transform and standardize the data for further processing.

Analysis and Evaluation

Data is evaluated with statistical methods, algorithms and models to reveal patterns and insights.

Visualization

We present results visually — in dashboards, charts and interactive tools — tailored to your target audiences.

Forecast & Recommendations

Based on the analyses we provide forecasts and concrete recommendations for optimizing your business processes.

Monitoring & Development

We monitor ongoing analyses, adjust dashboards and integrate new data sources as needed.

Frequently Asked Questions

What data sources can you analyze?

We process almost all data sources: SQL databases, NoSQL databases, cloud warehouses (BigQuery, Snowflake), ERP systems (SAP), CRM systems (Salesforce), IoT sensor data, web analytics (Google Analytics 4), Excel/CSV files and REST APIs.

How do you handle incomplete or incorrect data?

Incomplete data is the norm, not the exception. Our approach: data quality audit first, then missing value treatment (imputation, deletion or flagging depending on context), outlier detection and treatment, deduplication and normalization.

Can I also analyze real-time data?

Yes, real-time analytics is an important use case. We use Apache Kafka for streaming data, InfluxDB for time-series IoT sensor data, Grafana for real-time dashboards and Spark Streaming for complex real-time transformations.

Are the analyses GDPR-compliant?

Yes, GDPR compliance is a central part of our work. Measures include: pseudonymization and anonymization of personal data, access control following the least privilege principle, documentation of data processing, encryption at-rest and in-transit, EU-server data residency and deletion concepts.

Interested?

Interested in our Data Analysis service? Contact us for a free initial consultation.

Get in touch

Technologies Used

SQL

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