Data analysis services

Get unstuck from messy data to make faster, smarter decisions with confidence. Our data experts help you uncover revenue opportunities and boost operational efficiency.

60+

data analytics projects delivered

19+

years in data science

60+

data engineers

75%

mid & senior-level specialists

Get unstuck from messy data to make faster, smarter decisions with confidence. Our data experts help you uncover revenue opportunities and boost operational efficiency.

60+

data analytics projects delivered

19+

years in data science

60+

data engineers

75%

mid & senior-level specialists

How data analysis benefits you

Faster, smarter decisions

Proactive risk detection

Predictive insights that guide growth

Consistent, trusted data

Operational efficiency and cost control

Systems that scale with you

Audit confidence and compliance

Empowered analysts and developers

Knowledge transfer, not dependency

Faster, smarter decisions

Too many decisions rely on instinct and delay. Our data analysis consultancy services bring clarity and speed, so leaders can act confidently, backed by real-time insights.

Proactive risk detection

Unforeseen risks stall growth. We build analytical systems that detect anomalies, surface red flags early, and give you time to act before small issues escalate.

Predictive insights that guide growth

Markets shift fast. Predictive models help you spot emerging patterns, shape future strategies, and move early, while competitors are still reacting.

Consistent, trusted data

Disjointed, outdated data slows teams down. We centralize and validate your data so everyone operates from the same reliable source.

Operational efficiency and cost control

We surface budget leaks, inefficient processes, and underused assets — helping you do more with less and scale smarter.

Systems that scale with you

As you grow, your data architecture needs to keep pace. We design pipelines and reporting layers that scale with your people, platforms, and priorities.

Audit confidence and compliance

Lack of traceability creates audit and compliance risks. Our team implements logging, access controls, and governance practices so that audits become a formality, not a fire drill.

Empowered analysts and developers

Analysts waste time building ad-hoc reports and patching data. We equip your team with automated pipelines, structured datasets, and tools that eliminate routine work.

Knowledge transfer, not dependency

You own the system, not just the output. We train your teams, document our work, and provide mentorship so your people stay in control.

Faster, smarter decisions

Too many decisions rely on instinct and delay. Our data analysis consultancy services bring clarity and speed, so leaders can act confidently, backed by real-time insights.

Proactive risk detection

Unforeseen risks stall growth. We build analytical systems that detect anomalies, surface red flags early, and give you time to act before small issues escalate.

Predictive insights that guide growth

Markets shift fast. Predictive models help you spot emerging patterns, shape future strategies, and move early, while competitors are still reacting.

Consistent, trusted data

Disjointed, outdated data slows teams down. We centralize and validate your data so everyone operates from the same reliable source.

Operational efficiency and cost control

We surface budget leaks, inefficient processes, and underused assets — helping you do more with less and scale smarter.

Systems that scale with you

As you grow, your data architecture needs to keep pace. We design pipelines and reporting layers that scale with your people, platforms, and priorities.

Audit confidence and compliance

Lack of traceability creates audit and compliance risks. Our team implements logging, access controls, and governance practices so that audits become a formality, not a fire drill.

Empowered analysts and developers

Analysts waste time building ad-hoc reports and patching data. We equip your team with automated pipelines, structured datasets, and tools that eliminate routine work.

Knowledge transfer, not dependency

You own the system, not just the output. We train your teams, document our work, and provide mentorship so your people stay in control.

Data analysis projects

Explore our data analysis services

Data exploration and curation

Spot the signal in the noise. We help your analysts surface key trends, correlations, and early insights before modeling even begins.

Data cleansing and validation

Make every decision based on clean, accurate data. Our team removes errors, fills gaps, and standardizes inputs before they cause downstream issues.

Custom ETL/ELT pipeline development

Get structured, reliable data from all sources. Our team builds workflows tailored to your business logic for accurate, automated transformations.

Data mapping

Get full context for every decision. We connect fragmented datasets across systems and formats to reveal the bigger picture.

Data warehouse architecture & implementation

Give your team a single, accessible data hub. We design scalable, high-performance warehouses that make trusted insights easy to find and use.

API-first data access layers

Enable seamless analytics across platforms. Our experts develop secure, scalable APIs that connect your data to tools, dashboards, and decision workflows.

Infrastructure & FinOps optimization

Stop wasting cloud budget. Our team monitors workloads, right-sizes infrastructure, and applies smart cost controls without sacrificing performance.

Real-time stream processing

React to data in motion with confidence. Our engineers design real-time pipelines that deliver always-fresh insights for faster decisions and better experiences.

Anomaly detection & alerting

Catch issues before they escalate. We set up automated detection pipelines that flag unusual patterns whether it’s fraud, system failure, or bad data.

Visualizations and reporting development

Turn raw numbers into clear, usable stories. We build dashboards that answer business questions, not just display metrics.

Forecasting & scenario modeling

Plan for what’s next, not just what’s now. Our team builds predictive models and “what-if” simulations to guide strategy and long-term decisions.

Hypothesis provision and validation

Test business-critical assumptions before taking action. Our analysts turn ideas into structured experiments with measurable outcomes.

Feature store & ML DataOps enablement

Accelerate model development and deployment. We build versioned, traceable feature stores that bring structure and speed to machine learning workflows.

Data governance & compliance automation

Set rules once, apply them everywhere. We embed rules, logging, and policy controls into your data workflows from day one.

Feedback collection, dashboard enhancements & support

Keep your analytics useful as your business evolves. We refine dashboards, respond to user feedback, and offer ongoing data analysis support.

Prepare and manage your data

Data exploration and curation

Spot the signal in the noise. We help your analysts surface key trends, correlations, and early insights before modeling even begins.

Data cleansing and validation

Make every decision based on clean, accurate data. Our team removes errors, fills gaps, and standardizes inputs before they cause downstream issues.

Custom ETL/ELT pipeline development

Get structured, reliable data from all sources. Our team builds workflows tailored to your business logic for accurate, automated transformations.

Data mapping

Get full context for every decision. We connect fragmented datasets across systems and formats to reveal the bigger picture.

Build the right infrastructure

Data warehouse architecture & implementation

Give your team a single, accessible data hub. We design scalable, high-performance warehouses that make trusted insights easy to find and use.

API-first data access layers

Enable seamless analytics across platforms. Our experts develop secure, scalable APIs that connect your data to tools, dashboards, and decision workflows.

Infrastructure & FinOps optimization

Stop wasting cloud budget. Our team monitors workloads, right-sizes infrastructure, and applies smart cost controls without sacrificing performance.

Enable real-time intelligence

Real-time stream processing

React to data in motion with confidence. Our engineers design real-time pipelines that deliver always-fresh insights for faster decisions and better experiences.

Anomaly detection & alerting

Catch issues before they escalate. We set up automated detection pipelines that flag unusual patterns whether it’s fraud, system failure, or bad data.

Deliver insights that drive action

Visualizations and reporting development

Turn raw numbers into clear, usable stories. We build dashboards that answer business questions, not just display metrics.

Forecasting & scenario modeling

Plan for what’s next, not just what’s now. Our team builds predictive models and “what-if” simulations to guide strategy and long-term decisions.

Hypothesis provision and validation

Test business-critical assumptions before taking action. Our analysts turn ideas into structured experiments with measurable outcomes.

Accelerate machine learning and governance

Feature store & ML DataOps enablement

Accelerate model development and deployment. We build versioned, traceable feature stores that bring structure and speed to machine learning workflows.

Data governance & compliance automation

Set rules once, apply them everywhere. We embed rules, logging, and policy controls into your data workflows from day one.

Support and evolve with your team

Feedback collection, dashboard enhancements & support

Keep your analytics useful as your business evolves. We refine dashboards, respond to user feedback, and offer ongoing data analysis support.

Work with data experts who are allergic to vague metrics or half-baked models

Data analysis solutions we build

Core data platforms

Serverless clickstream pipeline
Micro-batch CDC framework
Modular ETL starter kit
End-to-end data transformation

Advanced insights

Real-time anomaly detection
Custom analytics models
Real-time decision-making systems
Business intelligence (BI) services

Specialized data capabilities

IoT edge-to-cloud data toolkit
GDPR auto-purge service
Industry-specific analytics
Observability-in-a-box

Why choose Innowise as a data analysis company

Our work starts with your business goals, not the data stack. We look at the real hurdles you face, then bring in the right tools, models, and expertise to uncover insights that support smart decisions.

Data means nothing until it speaks to a real business question. Our job is to identify those questions, trace them to the right metrics, and build systems that give clear, reliable answers so decisions aren’t based on guesswork.

Dmitry Nazarevich

CTO

Our engineering-led approach to data analysis

Business problem-driven solutions Our experts start with your goals, not tech wishlists. They translate real business challenges into focused data use cases that drive clear decisions.

Scalable, reproducible data assets The Innowise team builds durable data models with clean logic and version control to give your analysts reusable assets that grow with the business.

Automated, secure data pipelines Our engineers embed security, audit logs, and compliance logic into every pipeline, so governance is built in, not patched on later.

Cost-optimized, flexible infrastructure Data architects select the right cloud services, compute layers, and storage options to meet your current needs without overcommitting long term.

Test-driven data development Our analytics team validates assumptions, stress-tests logic, and catches edge cases early to ensure only trustworthy data reaches production.

Proactive performance & health monitoring All systems include built-in checks for latency, freshness, and anomalies to keep your operations stable and your teams in control.

Security & compliance by design Security and data governance are embedded from the start. Our engineers follow strict controls to meet GDPR, CCPA, and industry-specific standards.

Knowledge transfer Our specialists document pipelines, logic, and decisions to hand over full system knowledge. This way, your team can maintain and grow it independently.

Tool-agnostic methodology We don’t play favorites with tools. Our team evaluates your data landscape and business goals to choose the stack that delivers the best results — no bias.

Integrated documentation & observability You get more than working pipelines. We build in visual dataflows, logs, and clear documentation for easier monitoring and handover.

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Our 6-step delivery model

Architecture & requirements sprint

Clarifying your goals, constraints, and data sources. Our team maps out the architecture and chooses the right tools for your needs and budget

Rapid POC

Developing a focused prototype using real data. This lets us test logic early, uncover risks, and refine direction before going all in.

Agile iterative builds

Delivering in short sprints with regular check-ins. You see progress fast and can adjust scope or priorities without slowing momentum.

Automated QA & data validation

Testing pipelines and outputs through automated checks. Every result is verified for accuracy, completeness, and compliance before going live.

Staging to production promotion

Moving from staging to live environments with control and transparency. Versioning, rollback, and team approval keep the launch smooth and safe.

Handover & run support

Transferring ownership with clear documentation and training. Your team stays confident with full knowledge and our support whenever needed.

Your data has more to say — let’s decode it

Jump on a call with our experts and get practical answers fast.

Industries we serve

E-commerce
Healthcare
Finance
Education
Automotive
Logistics
Telecommunications

E-commerce

Every click, cart, and return tells a story. We help e-commerce teams uncover what drives sales, what stalls them, and where the next big opportunity lies.

Customer segmentation
Real-time product analytics
Inventory forecasting

Healthcare

Data in healthcare isn’t just numbers, it’s people’s lives. We help providers make sense of complex, fragmented records to improve outcomes and run leaner operations.

Clinical data modeling
Patient journey analysis
Compliance & audit readiness

Finance

Markets move fast, and bad data costs money. We work with financial teams to detect risks early, fine-tune portfolios, and stay compliant under pressure.

Real-time risk scoring
Regulatory reporting
Transaction analytics

Education

Learning data is often underused or misunderstood. We help schools and edtech platforms track progress, spot dropouts early, and build smarter, more effective courses.

Learner progress tracking
Dropout risk prediction
Content effectiveness insights

Automotive

From the assembly line to the open road, data drives the modern auto industry. We help manufacturers predict failures, improve quality, and build connected experiences.

Sensor data analysis
Quality control automation
Fleet analytics

Logistics

Delays. Missed handoffs. We help logistics teams get real-time visibility across the supply chain so nothing gets lost in the shuffle.

Route and fuel optimization
Delay pattern analysis
Demand forecasting

Telecommunications

Retention isn’t about discounts, it’s about timing and relevance. We help telecom companies predict churn, fine-tune plans, and prevent outages before they happen.

Churn prediction
Network usage insights
Plan personalization

Our data analysis technology stack

Apache Hadoop

Apache Spark

Cloudera
Snowflake Data Cloud

Java
Python

Scala
R

Power BI
Tableau
Looker
AWS QuickSight
Cognos
Apache Superset
Metabase
Redash
Qlik

Microsoft Excel
Grafana
Chartist.js
Oracle Business Intelligencev
MicroStrategy
Kyubit
Chartblocks
Infogram
Data Wrapper

SQL Server
PostgreSQL
Google BigQuery
Teradata

Amazon Redshift
Amazon RDS
Amazon Aurora
Azure Synapse Analytics

Matillion
Azkaban
Informatika
Panoply

IBM Infosphere DataStage
Apache Airflow
Talend

Choose your pricing model

Fixed price

Best for well-defined projects with clear goals. You’ll know the exact cost and timeline up front, which is ideal when the scope and specs are locked in.

Time & materials with a cap

Need flexibility without losing control? This model lets you pay for actual work hours within a set limit, which is perfect for evolving data needs or complex builds.

Ready to unlock real insights?

Let’s talk about how data analysis can solve your business challenges.

What our customers think

Dr. Felix Berthelmann Managing Director Digital Science

Over the years, Innowise has consistently proven to be a long-term reliable partner. The consistency and quality of the services provided have significantly contributed to the success of our joint initiatives.

Industry Healthcare, Pharma, Life Sciences
Team size 2 specialists
Duration 44 months
Services Staff augmentation, Data science

Aaron Cesaro CTO Ampligo S.r.l.

Innowise’s collaborative ethos, technical prowess, and unwavering commitment to our success have left a lasting impression on us. Their ability to seamlessly integrate with our internal teams and adapt to the ever-evolving demands of our projects exemplifies a true partnership.

Industry Arts, entertainment & music
Team size 2 specialists
Duration 30 months
Services Software modernization, custom development

Nonzaliseko Phamane Senior Technology Leader Metropolitan

Prior to starting our engagement, we had reviewed several IT companies on the market, and none compared to Innowise in terms of cost of service and the calibre of software developers that worked with us on the project.

Industry Financial services
Team size 5 specialists
Duration 18+ months
Services System architecture review, chatbot & payment processing system development

FAQ

The timeline of deploying a production‑ready data pipeline in your cloud environment depends on the data sources, integration complexity, and existing infrastructure. In typical cases, our team can deploy a production-grade pipeline in 2–4 weeks. This includes architecture design, development, validation, and staged rollout. For highly regulated or fragmented environments, we offer phased delivery to ensure stability and traceability.

As part of our outsourced data analysis services, we offer tailored SLAs to match your operational needs. Standard options include guaranteed pipeline uptime (typically 99.5%+), strict data freshness thresholds (e.g., 5–15 minutes), and incident response within 1–4 business hours. Our monitoring stack supports real-time alerts, and we log all exceptions and reprocessing steps for auditability.

Yes. Our engineers work with hybrid environments — including AWS, GCP, Azure, Snowflake, Kafka, and on-prem databases — and can connect to cloud-native services, legacy on-prem systems, and third-party APIs without forcing structural changes. We design non-invasive data pipelines that respect your existing architecture and ensure compatibility and security across platforms.

We provide data analysis as a service following security-first principles at every stage. This includes encryption in transit and at rest, access control, audit trails, and automated compliance checks. We also implement role-based permissions and data minimization strategies aligned with GDPR, CCPA, HIPAA, or industry-specific requirements. All activities are documented and review-ready.

We offer both fixed-scope, build-only engagements and long-term managed services. Fixed-price projects suit clients with clear specs, while time-and-materials (with cap) models provide flexibility. For managed pipelines, we handle monitoring, maintenance, and enhancements. You choose the level of involvement: advisory, co-delivery, or fully outsourced operations.

Yes. We use dual-run and shadowing techniques to ensure seamless migration from batch to streaming architectures. Real-time observability, rollback planning, and phased cutovers help us avoid disruption. Your business keeps running while we modernize the backend, and you get improved latency, responsiveness, and pipeline resilience.

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

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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.

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.

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

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

Data analysis services

How data analysis benefits you

Faster, smarter decisions

Proactive risk detection

Predictive insights that guide growth

Consistent, trusted data

Operational efficiency and cost control

Systems that scale with you

Audit confidence and compliance

Empowered analysts and developers

Knowledge transfer, not dependency

Data analysis projects

Explore our data analysis services

Work with data experts who are allergic to vague metrics or half-baked models

Data analysis solutions we build

Core data platforms

Advanced insights

Specialized data capabilities

Why choose Innowise as a data analysis company

Our engineering-led approach to data analysis

Our 6-step delivery model

Your data has more to say — let’s decode it

Industries we serve

E-commerce

Healthcare

Finance

Education

Automotive

Logistics

Telecommunications

Our data analysis technology stack

Choose your pricing model

Fixed price

Time & materials with a cap

Ready to unlock real insights?

What our customers think

FAQ

Contact us

What happens next?

Need other services?

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