Big data-utviklingsselskap

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+

år innen datavitenskap

75%

spesialister på mellom- og seniornivå

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+

år innen datavitenskap

75%

spesialister på mellom- og seniornivå

  • 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.

Våre partnerskap og utmerkelser
Se alle Se mindre

Our big data application development services

  • Rådgivning om stordata
  • Stordataanalyse
  • Forvaltning av stordata
  • Visualisering av stordata
  • Forvaltning av datakvalitet
  • Testing av stordata
  • Migrering av data
  • Stordatautvinning
  • Big data software development
  • Integrering av data
  • Automatisering av stordata

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

Rådgivning om stordata

Stordataanalyse

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

Stordataanalyse

Forvaltning av stordata

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

Forvaltning av stordata

Visualisering av stordata

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

Visualisering av stordata

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

Forvaltning av datakvalitet

Testing av stordata

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

Testing av stordata

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

Migrering av data

Stordatautvinning

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

Stordatautvinning

Big data software development

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

Big data software development

Integrering av data

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

Integrering av data

Automatisering av stordata

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

Automatisering av stordata
Rådgivning om stordata

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

Se mer
Rådgivning om stordata
Stordataanalyse

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

Stordataanalyse
Forvaltning av stordata

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

Forvaltning av stordata
Visualisering av stordata

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

Visualisering av stordata
Forvaltning av datakvalitet

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

Se mer
Forvaltning av datakvalitet
Testing av stordata

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

Testing av stordata
Migrering av data

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

Se mer
Migrering av data
Stordatautvinning

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

Stordatautvinning
Big data software development

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

Big data software development
Integrering av data

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

Integrering av data
Automatisering av stordata

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

Automatisering av stordata

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.

Datainnsamling og forberedelse

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

Databehandling

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

Lagring av data

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

Datahåndtering

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
Leder for Big Data og AI
Philip Tikhanovich
Leder for Big Data og AI

Big data services for major industries

  • Detaljhandel
  • Produksjon
  • Helsevesen
  • Finans
  • Logistikk og forsyningskjede
  • Medier
  • Utdanning
  • Sales & marketing
  • Reiseliv og gjestfrihet
  • Enterprise
  • Landbruk

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
  • Optimalisering av lagerbeholdningen
Detaljhandel

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
  • Produksjonssporing i sanntid
  • Quality control analytics
Produksjon

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

  • Analyse av pasientdata
  • Predictive diagnosis models
  • Hospital workflow optimization
Helsevesen

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

  • Oppdagelse av svindel i sanntid
  • Risk scoring algorithms
  • Customer credit & risk evaluation analysis
Finans

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
  • Synlighet i forsyningskjeden
Logistikk og forsyningskjede

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
Medier

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
Utdanning

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
  • Kundesegmentering
Sales & marketing

Reise & 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
Reiseliv og gjestfrihet

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
Enterprise

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
Landbruk

Our big data tool stack

  • Lagring
  • Forvaltning av databaser
  • Datahåndtering
  • Behandling av stordata
  • Machine learning
  • Programmeringsspråk

Lagring

ikon Amazon S3
ikon Azure Data Lake
ikon Apache Hadoop
ikon GCP skylagring

Forvaltning av databaser

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

Datahåndtering

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

Behandling av stordata

ikon Apache Kafka
ikon Apache Storm
ikon Apache Spark
ikon Apache Flink
ikon Apache Druid
ikon Apache Hadoop MapReduce
ikon Apache Giraf

Machine learning

ikon Matlab
ikon Amazon Machine Learning
ikon Apache Spark MLib
ikon TensorFlow
ikon Oktav
ikon R
ikon Amazon SageMaker
ikon Azure maskinlæring
ikon Google Cloud Al-plattformen
ikon Åpne CV
ikon spaCy
ikon Keras
ikon Apache Mahout
ikon Gensim

Lagring

ikon Amazon S3
ikon Azure Data Lake
ikon Apache Hadoop
ikon GCP skylagring

Forvaltning av databaser

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

Datahåndtering

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

Behandling av stordata

ikon Apache Kafka
ikon Apache Storm
ikon Apache Spark
ikon Apache Flink
ikon Apache Druid
ikon Apache Hadoop MapReduce
ikon Apache Giraf

Machine learning

ikon Matlab
ikon Amazon Machine Learning
ikon Apache Spark MLib
ikon TensorFlow
ikon Oktav
ikon R
ikon Amazon SageMaker
ikon Azure maskinlæring
ikon Google Cloud Al-plattformen
ikon Åpne CV
ikon spaCy
ikon Keras
ikon Apache Mahout
ikon Gensim
Time to act on your data

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

Hva kundene våre mener

Joanna Wolynska HR og prosjektleder Netdevops Luxembourg S.a.r.l.
selskapets logo

"Innowises hjelp gjorde det mulig for oss å fullføre prosjektet i tide. Deres fleksible og tilpasningsdyktige tilnærming resulterte i et smidig partnerskap. De var kommunikative, lydhøre og enkle å samarbeide med, i tillegg til at de var teknisk dyktige."

  • Industri IT-tjenester
  • Lagets størrelse 1 spesialist
  • Varighet 6+ måneder
  • Tjenester Utvikling av tilpasset programvare
Dominik Märkl Direktør OneStop Pro
selskapets logo

"Når det gjelder håndtering av pressede situasjoner, har Innowise alltid bevist at de er dyktige til å håndtere slike situasjoner. Det gjør de ved å ha en klar forståelse av hvilke resultater vi forventer, slik at vi kan utvikle virksomheten vår i retning av vekst og kundetilfredshet."

  • Industri Bygg og anlegg
  • Lagets størrelse 7 spesialister
  • Varighet 36+ måneder
  • Tjenester Utvikling av tilpasset programvare
Pierre Sipidin CEO PS Consult
selskapets logo

"Jeg var ærlig talt veldig fornøyd med arbeidet deres. Kunden kan nå fullføre en oppgave som tidligere tok 10-15 minutter, på sekunder. Prosjektet har resultert i økonomiske besparelser og tidsbesparelser, og Innowise har bidratt med en rekke teknologiske ekspertiser gjennom hele oppdraget."

  • Industri IT-tjenester
  • Lagets størrelse 1 spesialist
  • Varighet 7 dager
  • Tjenester Utvikling av skreddersydd programvare, rådgivning, personalforsterkning

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.

Hvordan bruker verden stordata til prediktiv analyse?

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.

Vil stordata vokse i fremtiden?

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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