Big data development company

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+

years in data science

75%

mid & senior-level specialists

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+

years in data science

75%

mid & senior-level specialists

  • 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.

Our partnerships and awards
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Our big data application development services

  • Big data consulting
  • Big data analytics
  • Big data management
  • Big data visualization
  • Data quality management
  • Big data testing
  • Data migration
  • Big data mining
  • Big data software development
  • Data integration
  • Big data automation

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

Big data consulting

Big data analytics

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

Big data analytics

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 visualization

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 visualization

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

Data quality management

Big data testing

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

Big data testing

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

Data migration

Big data mining

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

Big 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

Data integration

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

Data integration

Big data automation

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

Big data automation
Big data consulting

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

See more
Big data consulting
Big data analytics

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

Big data analytics
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 visualization

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 visualization
Data quality management

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

See more
Data quality management
Big data testing

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

Big data testing
Data migration

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

See more
Data migration
Big data mining

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

Big 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
Data integration

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

Data integration
Big data automation

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

Big data automation

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.

Data collection & preparation

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

Data processing

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

Data storage

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

Data management

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
Head of Big Data and AI
Philip Tikhanovich
Head of Big Data and AI

Big data services for major industries

  • Retail
  • Manufacturing
  • Healthcare
  • Finance
  • Logistics & supply chain
  • Media
  • Education
  • Sales & marketing
  • Travel & hospitality
  • Enterprise
  • Agriculture

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
  • Inventory optimization
Retail

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
  • Real-time production tracking
  • Quality control analytics
Manufacturing

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

  • Patient data analytics
  • Predictive diagnosis models
  • Hospital workflow optimization
Healthcare

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

  • Real-time fraud detection
  • Risk scoring algorithms
  • Customer credit & risk evaluation analysis
Finance

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
  • Supply chain visibility
Logistics & supply chain

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
Education

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
  • Customer segmentation
Sales & marketing

Travel & 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
Travel & hospitality

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
Agriculture

Our big data tool stack

  • Storage
  • Database management
  • Data management
  • Big data processing
  • Machine learning
  • Programming languages

Storage

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

Database management

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

Data management

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

Big data processing

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

Machine learning

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

Storage

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

Database management

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

Data management

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

Big data processing

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

Machine learning

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

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

What our customers think

Joanna Wolynska HR & Project Manager Netdevops Luxembourg S.a.r.l
company's logo

“Innowise’s help allowed us to complete the project on time. Their flexible and adaptable approach resulted in a smooth partnership. Ultimately, they were communicative, responsive, and easy to work with, on top of being technically proficient.”

  • Industry IT services
  • Team size 1 specialist
  • Duration 6+ months
  • Services Custom software development
Dominik Märkl Director OneStop Pro
company's logo

“When it comes to handling pressure situations, Innowise has always proven its deftness in managing these situations. They do this by having a clear understanding of our expected results to take our business towards growth and customer satisfaction.”

  • Industry Construction
  • Team size 7 specialists
  • Duration 36+ months
  • Services Custom software development
Pierre Sipidin CEO PS Consult
company's logo

“I was honestly very satisfied with their work. The client can now complete a task that used to take 10–15 minutes in seconds. The project has resulted in financial and time savings, and Innowise provided a range of technology expertise throughout the engagement.”

  • Industry IT services
  • Team size 1 specialist
  • Duration 7 days
  • Services Custom software development, consulting, staff augmentation

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.

How is the world using big data for predictive analysis?

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.

Will big data grow in the future?

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.

Feel free to book a call and get all the answers you need.

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    What happens next?

    1

    Once we’ve received and processed your request, we’ll get back to you to detail your project needs and sign an NDA to ensure confidentiality.

    2

    After examining your wants, needs, and expectations, our team will devise a project proposal with the scope of work, team size, time, and cost estimates.

    3

    We’ll arrange a meeting with you to discuss the offer and nail down the details.

    4

    Finally, we’ll sign a contract and start working on your project right away.

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