Empresa de desarrollo de big data

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+

años en ciencia de datos

75%

especialistas de nivel medio y superior

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+

años en ciencia de datos

75%

especialistas de nivel medio y superior

  • 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.

Nuestras asociaciones y premios
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Our big data application development services

  • Consultoría de big data
  • Análisis de big data
  • Gestión de big data
  • Visualización de big data
  • Gestión de la calidad de los datos
  • Pruebas de big data
  • Migración de datos
  • Minería de grandes datos
  • Big data software development
  • Integración de datos
  • Automatización de big data

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

Consultoría de big data

Análisis de big data

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

Análisis de big data

Gestión de big data

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

Gestión de big data

Visualización de big data

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

Visualización de big data

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

Gestión de la calidad de los datos

Pruebas de big data

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

Pruebas de big data

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

Migración de datos

Minería de grandes datos

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

Minería de grandes datos

Big data software development

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

Big data software development

Integración de datos

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

Integración de datos

Automatización de big data

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

Automatización de big data
Consultoría de big data

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

Más información
Consultoría de big data
Análisis de big data

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

Análisis de big data
Gestión de big data

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

Gestión de big data
Visualización de big data

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

Visualización de big data
Gestión de la calidad de los datos

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

Más información
Gestión de la calidad de los datos
Pruebas de big data

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

Pruebas de big data
Migración de datos

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

Más información
Migración de datos
Minería de grandes datos

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

Minería de grandes datos
Big data software development

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

Big data software development
Integración de datos

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

Integración de datos
Automatización de big data

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

Automatización de big data

Our expertise in advanced big data technologies

Manual tasks eat up valuable hours?

Odoo automates processes so your team focuses on growth.

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.

Recogida y preparación de datos

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

Tratamiento de datos

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

Almacenamiento de datos

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

Gestión de datos

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
Responsable de Big Data y AI
Philip Tikhanovich
Responsable de Big Data y AI

Big data services for major industries

  • Venta al por menor
  • Fabricación
  • Sanidad
  • Finanzas
  • Logística y cadena de suministro
  • Medios de comunicación
  • Educación
  • Sales & marketing
  • Viajes y hostelería
  • Empresa
  • Agricultura

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
  • Optimización de inventarios
Venta al por menor

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
  • Seguimiento de la producción en tiempo real
  • Quality control analytics
Fabricación

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

  • Análisis de datos de pacientes
  • Predictive diagnosis models
  • Hospital workflow optimization
Sanidad

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

  • Detección del fraude en tiempo real
  • Risk scoring algorithms
  • Customer credit & risk evaluation analysis
Finanzas

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
  • Visibilidad de la cadena de suministro
Logística y cadena de suministro

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
Medios de comunicación

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
Educación

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
  • Segmentación de clientes
Sales & marketing

Viajar & 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
Viajes y hostelería

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
Empresa

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
Agricultura

Our big data tool stack

  • Almacenamiento
  • Gestión de bases de datos
  • Gestión de datos
  • Procesamiento de big data
  • Machine learning
  • Lenguajes de programación

Almacenamiento

icono Amazon S3
icono Azure Data Lake
icono Apache Hadoop
icono GCP Cloud Storage

Gestión de bases de datos

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

Gestión de datos

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

Procesamiento de big data

icono Apache Kafka
icono Apache Storm
icono Apache Spark
icono Apache Flink
icono Apache Druid
icono Apache Hadoop MapReduce
icono Apache Giraph

Machine learning

icono Matlab
icono Amazon Machine Learning
icono Apache Spark MLib
icono TensorFlow
icono Octave
icono R
icono Amazon SageMaker
icono Azure Machine Learning
icono Google Cloud Al Platform
icono Open CV
icono spaCy
icono Keras
icono Apache Mahout
icono Gensim

Almacenamiento

icono Amazon S3
icono Azure Data Lake
icono Apache Hadoop
icono GCP Cloud Storage

Gestión de bases de datos

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

Gestión de datos

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

Procesamiento de big data

icono Apache Kafka
icono Apache Storm
icono Apache Spark
icono Apache Flink
icono Apache Druid
icono Apache Hadoop MapReduce
icono Apache Giraph

Machine learning

icono Matlab
icono Amazon Machine Learning
icono Apache Spark MLib
icono TensorFlow
icono Octave
icono R
icono Amazon SageMaker
icono Azure Machine Learning
icono Google Cloud Al Platform
icono Open CV
icono spaCy
icono Keras
icono Apache Mahout
icono Gensim
Time to act on your data

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

La opinión de nuestros clientes

Joanna Wolynska RRHH y Gestor de proyectos Netdevops Luxembourg S.a.r.l
logotipo de la empresa

"La ayuda de Innowise nos permitió completar el proyecto a tiempo. Su enfoque flexible y adaptable dio lugar a una colaboración fluida. En última instancia, fueron comunicativos, receptivos y fue fácil trabajar con ellos, además de ser técnicamente competentes."

  • Industria Servicios informáticos
  • Tamaño del equipo 1 especialista
  • Duración Más de 6 meses
  • Servicios Desarrollo de custom software
Dominik Märkl Director OneStop Pro
logotipo de la empresa

"Cuando se trata de manejar situaciones de presión, Innowise siempre ha demostrado su destreza en la gestión de estas situaciones. Lo hacen comprendiendo claramente nuestros resultados esperados para llevar nuestro negocio hacia el crecimiento y la satisfacción del cliente."

  • Industria Construcción
  • Tamaño del equipo 7 especialistas
  • Duración Más de 36 meses
  • Servicios Desarrollo de custom software
Pierre Sipidin CEO Consulta PS
logotipo de la empresa

"Sinceramente, estoy muy satisfecho con su trabajo. Ahora el cliente puede completar en segundos una tarea que antes le llevaba entre 10 y 15 minutos. El proyecto ha supuesto un ahorro financiero y de tiempo, e Innowise proporcionó una serie de conocimientos tecnológicos durante todo el compromiso."

  • Industria Servicios informáticos
  • Tamaño del equipo 1 especialista
  • Duración 7 días
  • Servicios Desarrollo de software a medida, consultoría, aumento de personal

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.

¿Cómo utiliza el mundo big data para el análisis predictivo?

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.

¿Crecerá el big data en el futuro?

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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    2

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