Unternehmen für Big-Data-Entwicklung

Hire an expert big data services company to turn massive datasets into fast, confident decisions. Innowise helps you forecast demand, reduce downtime, and uncover hidden revenue opportunities, processing information in real time so you can act when it matters most.

40+

launched big data development projects

125+

dedicated data engineers

18+

Jahre in der Datenwissenschaft

75%

erfahrene Spezialisten

Hire an expert big data services company to turn massive datasets into fast, confident decisions. Innowise helps you forecast demand, reduce downtime, and uncover hidden revenue opportunities, processing information in real time so you can act when it matters most.

40+

launched big data development projects

125+

dedicated data engineers

18+

Jahre in der Datenwissenschaft

75%

erfahrene Spezialisten

  • Make data-driven decisions

Eliminate guesswork with analytics that reveal patterns, predict demand, and deliver accurate, real-time insights, so you can act with speed and confidence.

  • Streamline operations

Remove workflow bottlenecks, connect disjointed processes, and give teams the tools they need to work faster, smarter, and with greater precision.

  • Gain a 360° view of the market

Consolidate internal and external data to monitor competitors, track customer behaviour trends, generate actionable insights, and uncover high-potential market opportunities.

  • Cut costs, not quality

Lower operational costs by automating routine tasks, optimizing resource allocation, and reducing risks that lead to expensive mistakes.

  • Anticipate & prevent risks early

Use predictive analytics to spot threats early, prevent stock or delivery issues, and minimize compliance risks before they impact revenue.

  • Turn insights into innovation

Translate raw data into strategies that inspire new products, services, and business strategies ahead of market competitors.

Unsere Partnerschaften und Auszeichnungen
Alle sehen Weniger sehen

Our big data application development services

  • Beratung zu Big Data
  • Big Data-Analyse
  • Big-Data-Management
  • Big-Data-Visualisierung
  • Datenqualitätsmanagement
  • Big Data-Tests
  • Datenmigration
  • Data Mining
  • Big data software development
  • Datenintegration
  • Automatisierung von Big Data

Evaluate goals, processes, and tech gaps to design a data solution roadmap that aligns with your business objectives and delivers measurable ROI.

Beratung zu Big Data

Big Data-Analyse

Analyze large, scalable, and complex datasets to reveal trends, correlations, and insights that improve the decision-making process and predict future outcomes.

Big Data-Analyse

Big-Data-Management

Design and maintain secure, scalable infrastructures (data lakes, pipelines, ETL/ELT processes) that keep data organized and reliable.

Big-Data-Management

Big-Data-Visualisierung

Turn complex metrics and ambiguous business requirements into clear dashboards, charts, and reports so stakeholders can act quickly without wading through raw data.

Big-Data-Visualisierung

Audit, clean, and monitor data to ensure accuracy, consistency, and completeness, avoiding costly errors in analysis and reporting.

Datenqualitätsmanagement

Big Data-Tests

Run automated and manual checks to verify system performance, data integrity, and processing speed before full-scale deployment.

Big Data-Tests

Transfer on-premise data to modern cloud environments (incl. AWS, Azure, GCP) with minimal downtime, optimizing cost, scalability, and performance in the process.

Datenmigration

Data Mining

Use machine learning and statistical methods to identify valuable patterns and opportunities in vast, unstructured datasets.

Data Mining

Big data software development

Build applications, warehouses, and analytics platforms tailored to your workflows and business goals for maximum efficiency.

Big data software development

Datenintegration

Combine disparate data streams through ETL, replication, or virtualization to create a single source of truth.

Datenintegration

Automatisierung von Big Data

Deploy AI-powered automation to handle repetitive data tasks, speeding up operations and lowering long-term operational costs.

Automatisierung von Big Data
Beratung zu Big Data

Evaluate goals, processes, and tech gaps to design a data solution roadmap that aligns with your business objectives and delivers measurable ROI.

Mehr sehen
Beratung zu Big Data
Big Data-Analyse

Analyze large, scalable, and complex datasets to reveal trends, correlations, and insights that improve the decision-making process and predict future outcomes.

Big Data-Analyse
Big-Data-Management

Design and maintain secure, scalable infrastructures (data lakes, pipelines, ETL/ELT processes) that keep data organized and reliable.

Big-Data-Management
Big-Data-Visualisierung

Turn complex metrics and ambiguous business requirements into clear dashboards, charts, and reports so stakeholders can act quickly without wading through raw data.

Big-Data-Visualisierung
Datenqualitätsmanagement

Audit, clean, and monitor data to ensure accuracy, consistency, and completeness, avoiding costly errors in analysis and reporting.

Mehr sehen
Datenqualitätsmanagement
Big Data-Tests

Run automated and manual checks to verify system performance, data integrity, and processing speed before full-scale deployment.

Big Data-Tests
Datenmigration

Transfer on-premise data to modern cloud environments (incl. AWS, Azure, GCP) with minimal downtime, optimizing cost, scalability, and performance in the process.

Mehr sehen
Datenmigration
Data Mining

Use machine learning and statistical methods to identify valuable patterns and opportunities in vast, unstructured datasets.

Data Mining
Big data software development

Build applications, warehouses, and analytics platforms tailored to your workflows and business goals for maximum efficiency.

Big data software development
Datenintegration

Combine disparate data streams through ETL, replication, or virtualization to create a single source of truth.

Datenintegration
Automatisierung von Big Data

Deploy AI-powered automation to handle repetitive data tasks, speeding up operations and lowering long-term operational costs.

Automatisierung von Big Data

Our expertise in advanced big data technologies

Manuelle Aufgaben fressen wertvolle Stunden?

Odoo automatisiert Prozesse, damit sich Ihr Team auf das Wachstum konzentrieren kann.

Our holistic approach to big data software development services

Our big data project showcase

Make decisions backed by analytics, not hunches

Choose Innowise for big data software development

We combine 18+ years in IT with transparent collaboration, fast delivery, and strong industry knowledge to deliver solutions that are secure, scalable, and tailored to your industry. From strategy to deployment, we work as an extension of your team to ensure data translates into faster decisions and measurable business results.

Our big data development process

As a big data software development company, we follow a structured, transparent process to turn large, complex datasets into clear, actionable insights. Each stage is tailored to your goals and industry needs.

Business challenge review

We discuss objectives, pain points, and success metrics with stakeholders to align technical decisions with business outcomes from the start.

Datenerfassung und -aufbereitung

Our team gathers information from all relevant sources, cleans it, and formats it for accurate processing and meaningful analysis.

Datenverarbeitung

We transform raw data into a consistent structure, apply necessary calculations, and prepare it for storage or direct analytical use.

Datenspeicherung

We design secure, scalable storage solutions (data lakes, warehouses, or hybrid setups) optimized for performance and compliance.

Datenmanagement

Our engineers implement governance, access controls, and monitoring to ensure your data remains accurate, organized, and protected.

Data analysis & insights

We apply statistical models and machine learning to uncover patterns, correlations, and forecasts, then validate and translate findings into recommendations.

Business implementation

We integrate findings into workflows, tools, and decision-making processes to create measurable operational improvements.

Big data solutions support

Post-launch, we monitor performance, resolve issues quickly, and adapt solutions as your data environment and goals evolve.

Philip Tikhanovich
Leiter der Big Data-Abteilung
Philip Tikhanovich
Leiter der Big Data-Abteilung

Big data services for major industries

  • Einzelhandel
  • Fertigung
  • Gesundheitswesen
  • Finanzwesen
  • Logistik & Lieferkette
  • Media
  • Bildungswesen
  • Sales & marketing
  • Reisen & Gastgewerbe
  • Unternehmen
  • Landwirtschaft

We help retailers and ecommerce brands track customer behavior, forecast demand, and optimize warehouse inventory. Real-time analytics improve conversion rates, promotions, reduce waste, and increase repeat purchases.

  • Demand forecasting models
  • Personalized product offers
  • Bestandsoptimierung
Einzelhandel

Our solutions monitor production lines, predict equipment failures, and streamline supply chains. Manufacturers gain higher uptime, reduced defects, and better resource planning.

  • Predictive maintenance tools
  • Produktionsverfolgung in Echtzeit
  • Quality control analytics
Fertigung

We enable providers to analyze patient data, improve diagnostics, and optimize treatment plans. Secure solutions ensure compliance with HIPAA and other healthcare regulations.

  • Patientendatenanalyse
  • Predictive diagnosis models
  • Hospital workflow optimization
Gesundheitswesen

From fraud detection to portfolio optimization, our big data tools help financial institutions act faster and reduce risk while meeting strict compliance requirements.

  • Betrugserkennung in Echtzeit
  • Risk scoring algorithms
  • Customer credit & risk evaluation analysis
Finanzwesen

We provide end-to-end visibility, route optimization, and predictive demand planning. This helps reduce delivery times, cut fuel costs, and improve supply reliability.

  • Route & load optimization
  • Predictive demand planning
  • Transparenz der Lieferkette
Logistik & Lieferkette

Media companies use our solutions to personalize content, track audience engagement, and forecast trends, which maximize reach and ad performance.

  • Audience behavior tracking
  • Content personalization
  • Engagement trend analysis
Media

We support institutions with data-driven insights for student performance tracking, curriculum & schedule optimization, and resource allocation.

  • Student progress analytics
  • Adaptive learning platforms
  • Enrollment forecasting
Bildungswesen

Our analytics platforms uncover high-value leads, manage the effectiveness of online marketing campaigns by utilizing the UTM model, and measure ROI with precision, which drives more effective customer acquisition.

  • Lead scoring models
  • Campaign performance tracking
  • Kundensegmentierung
Sales & marketing

Reisen & hospitality

We help travel companies predict demand, adjust pricing dynamically, and personalize offers for travelers, improving occupancy and customer loyalty.

  • Dynamic pricing engines
  • Travel trend prediction
  • Personalized trip offers
Reisen & Gastgewerbe

For large enterprises, we integrate data across departments, creating a single source of truth to drive faster, more accurate decision-making.

  • Cross-department data integration
  • Enterprise analytics dashboards
  • KPI tracking systems
Unternehmen

Our solutions analyze weather, soil, and crop data to optimize planting, irrigation, and harvesting, which improves yield and reduces costs.

  • Precision agriculture tools
  • Crop yield forecasting
  • Soil health monitoring
Landwirtschaft

Our big data tool stack

  • Lagerung
  • Datenbank Management
  • Datenmanagement
  • Big-Data-Verarbeitung
  • Maschinelles Lernen
  • Programmiersprachen

Lagerung

Symbol Amazon S3
Symbol Azure Data Lake
Symbol Apache Hadoop
Symbol GCP Cloud-Speicher

Datenbank Management

Symbol Cassandra
Symbol Azure Cosmos DB
Symbol Azure Synapse Analytics
Symbol Amazon Redshift
Symbol Amazon DynamoDB
Symbol Apache Hive
Symbol Apache HBASE
Symbol Apache NiFi
Symbol MongoDB

Datenmanagement

Symbol Apache Airflow
Symbol Dagster
Symbol Apache NiFi
Symbol Talend
Symbol Informatica
Symbol Zaloni
Symbol Apache ZooKeeper
Symbol Azkaban
Symbol Dremio

Big-Data-Verarbeitung

Symbol Apache Kafka
Symbol Apache Storm
Symbol Apache Spark
Symbol Apache Flink
Symbol Apache Druid
Symbol Apache Hadoop MapReduce
Symbol Apachengraph

Maschinelles Lernen

Symbol Matlab
Symbol Amazon Maschinelles Lernen
Symbol Apache Spark MLib
Symbol TensorFlow
Symbol Oktave
Symbol R
Symbol Amazon SageMaker
Symbol Azure Machine Learning
Symbol Google Cloud Al Plattform
Symbol Lebenslauf öffnen
Symbol spaCy
Symbol Keras
Symbol Apache Mahout
Symbol Gensim

Lagerung

Symbol Amazon S3
Symbol Azure Data Lake
Symbol Apache Hadoop
Symbol GCP Cloud-Speicher

Datenbank Management

Symbol Cassandra
Symbol Azure Cosmos DB
Symbol Azure Synapse Analytics
Symbol Amazon Redshift
Symbol Amazon DynamoDB
Symbol Apache Hive
Symbol Apache HBASE
Symbol Apache NiFi
Symbol MongoDB

Datenmanagement

Symbol Apache Airflow
Symbol Dagster
Symbol Apache NiFi
Symbol Talend
Symbol Informatica
Symbol Zaloni
Symbol Apache ZooKeeper
Symbol Azkaban
Symbol Dremio

Big-Data-Verarbeitung

Symbol Apache Kafka
Symbol Apache Storm
Symbol Apache Spark
Symbol Apache Flink
Symbol Apache Druid
Symbol Apache Hadoop MapReduce
Symbol Apachengraph

Maschinelles Lernen

Symbol Matlab
Symbol Amazon Maschinelles Lernen
Symbol Apache Spark MLib
Symbol TensorFlow
Symbol Oktave
Symbol R
Symbol Amazon SageMaker
Symbol Azure Machine Learning
Symbol Google Cloud Al Plattform
Symbol Lebenslauf öffnen
Symbol spaCy
Symbol Keras
Symbol Apache Mahout
Symbol Gensim
Time to act on your data

Use your data to cut costs, improve speed, and stay ahead of the market

Was unsere Kunden denken

Joanna Wolynska HR & Projektmanager Netdevops Luxembourg S.a.r.l
Firmenlogo

“Dank der Hilfe von Innowise konnten wir das Projekt pünktlich abschließen. Ihr flexibler und anpassungsfähiger Ansatz führte zu einer reibungslosen Partnerschaft. Letztendlich waren sie nicht nur technisch kompetent, sondern auch kommunikativ, reaktionsschnell und einfach in der Zusammenarbeit.”

  • Branche IT-Services
  • Teamgröße 1 Spezialist
  • Dauer 6+ Monate
  • Leistungen Individuelle Softwareentwicklung
Dominik Märkl Leiter OneStop Pro
Firmenlogo

"Wenn es darum geht, mit Drucksituationen umzugehen, hat Innowise immer wieder bewiesen, dass es diese Situationen geschickt meistern kann. Sie tun dies, indem sie ein klares Verständnis der von uns erwarteten Ergebnisse haben, um unser Unternehmen zu Wachstum und Kundenzufriedenheit zu führen."

  • Branche Bauwesen
  • Teamgröße 7 Spezialisten
  • Dauer 36+ Monate
  • Leistungen Individuelle Softwareentwicklung
Pierre Sipidin CEO PS Consult
Firmenlogo

"Ich war ehrlich gesagt sehr zufrieden mit ihrer Arbeit. Der Kunde kann jetzt eine Aufgabe, die früher 10–15 Minuten dauerte, in Sekunden erledigen. Das Projekt hat zu finanziellen und zeitlichen Einsparungen geführt, und Innowise hat während des gesamten Vorgangs eine Reihe von technologischen Fachkenntnissen bereitgestellt."

  • Branche IT-Services
  • Teamgröße 1 Spezialist
  • Dauer 7 Tage
  • Leistungen Individuelle Softwareentwicklung, Beratung, Personalaufstockung

FAQ

Would Big Data be useful to scale up my business?

Absolutely. Big Data lets you spot growth opportunities early, optimize operations, and respond to market shifts faster than competitors. By translating raw information into actionable insights, you can reduce inefficiencies, improve customer targeting, and scale with confidence. You’ll use the right data to guide your decisions.

How much data can be considered big data?

Big data refers to datasets that are exceptionally large, structured and unstructured, complex, varied, and generated at high speed, often in terabytes or petabytes. These volumes require advanced tools to process, analyze, and extract insights. Even smaller datasets can qualify when they demand sophisticated methods to reveal patterns, run analytics, or deliver real-time results.

Wie wird Big Data für prädiktive Analysen genutzt?

Predictive analysis with big data is used to forecast demand, detect fraud, predict equipment failures, and model customer behavior. Industries like finance, healthcare, and retail combine historical data with real-time inputs to anticipate outcomes and make proactive decisions. The advantage lies in acting before problems occur or opportunities are missed.

Wird Big Data in Zukunft weiter wachsen?

Yes, both in scale and strategic importance. As IoT devices, AI tools, and digital platforms generate more information, demand for systems that can process, secure, and analyze data will increase. Businesses that invest in robust big data capabilities now will have a competitive edge as data becomes even more central to decision-making.

What are the 5 v's of big data?

The 5 V’s are volume (amount of data), velocity (speed of generation), variety (types of data), veracity (accuracy and trustworthiness), and value (business benefit). These dimensions help define big data challenges and opportunities, guiding how companies collect, store, and analyze information for meaningful, actionable results.

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