Diensten voor gegevensarchitectuur

Most companies don’t need more data. They need a better way to organize it. We help businesses build scalable, secure, and high-performing ecosystems for better data flow and actionable insights.

100+

data architecture projects delivered

40+

data analysts & engineers

80%

Senior en middenkader specialisten

Most companies don’t need more data. They need a better way to organize it. We help businesses build scalable, secure, and high-performing ecosystems for better data flow and actionable insights.

100+

data architecture projects delivered

40+

data analysts & engineers

85%

Senior en middenkader specialisten

Diensten
Gevallen
Oplossingen
Waarom wij
Proces
Technologieën
Modellen inhuren
Beoordelingen
iOS-functies
Projecten
Architecture4

Data architecture setup 
& development

We design sturdy, flexible, modern enterprise data architectures that support your business today and scale cleanly for tomorrow. No spaghetti systems, no rebuilds in year two.

Eigenschap 1=Expertise

Platform health checks

We audit your current stack to identify performance issues, integration gaps, and security risks, then deliver a step-by-step plan to fix, upgrade, and secure it.

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Data warehouse strategy

A bloated warehouse is just an expensive sinkhole. We help you pick the right platform, define schema strategy, and build for speed, governance, and growth.

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Data ecosystem implementation

We unify scattered systems into one clean and trusted environment. Fewer data silos, fewer sync issues, and way less manual cleanup.

AI infrastructure establishment and maintenance

We set up the data pipelines, storage layers, 
and compute environments needed to power machine learning models, ensuring your 
AI projects won’t collapse mid-training.

Analytics process management

We turn raw data into real-time decisions. 
From ingestion to visualization, we streamline your analytics pipeline so teams aren’t stuck waiting for yesterday’s numbers.

Struggling with poor data quality?

We’ll implement solutions to standardize and clean your data for trusted insights.

How data architecture services benefit your business

  • Streamlined data workflow
  • Secure & scalable infrastructure
  • Real-time, reliable insights
  • Smarter data visualization
  • Automated data collection
  • Cost-efficient data storage

Streamlined data workflow

Build structured pipelines that move, clean, and organize your data — so teams stop fighting fires and start making fast decisions.

Streamlined Data Workflow

Secure & scalable infrastructure

Protect sensitive data across all environments and scale your setup as the business evolves, without replatforming or growing pains.

Secure Infrastructure

Real-time, reliable insights

Enable always-fresh data streams so dashboards and reports reflect what’s happening now, not what happened yesterday.

Real-Time Insights

Smarter data visualization

Turn complex datasets into visual stories that reveal trends, gaps, and KPIs at a glance — helping leaders act with clarity and speed.

Datavisualisatie

Automated data collection

Automatically collect and update data by connecting APIs, databases, and services into automated pipelines. No more data delays or missing files.

Automated Data Collection

Cost-efficient data storage

Select the optimal storage architecture — hot, cold, or hybrid — and optimize storage costs while maintaining performance and compliance.

Data Storage
Streamlined data workflow

Build structured pipelines that move, clean, and organize your data — so teams stop fighting fires and start making fast decisions. Streamlined Data Workflow

Secure & scalable infrastructure

Protect sensitive data across all environments and scale your setup as the business evolves, without replatforming or growing pains. Secure Infrastructure

Real-time, reliable insights

Enable always-fresh data streams so dashboards and reports reflect what’s happening now, not what happened yesterday. Real-Time Insights

Smarter data visualization

Turn complex datasets into visual stories that reveal trends, gaps, and KPIs at a glance — helping leaders act with clarity and speed. Datavisualisatie

Automated data collection

Automatically collect and update data by connecting APIs, databases, and services into automated pipelines. No more data delays or missing files. Automated Data Collection

Cost-efficient data storage

Select the optimal storage architecture — hot, cold, or hybrid — and optimize storage costs while maintaining performance and compliance. Data Storage

Google-logo. Hays-logo. PayPal-logo. Siemens-logo. Nike-logo. Volkswagen-logo. LVMH-logo. Nestlelogo. Novartis-logo. Spotify-logo.
Google-logo. Hays-logo. PayPal-logo. Siemens-logo. Nike-logo. Volkswagen-logo. LVMH-logo. Nestlelogo. Novartis-logo. Spotify-logo.
Aramco-logo Mercedes-logo. Costco Wholesale-logo. Shell-logo. Accenture logo. NVIDIA-logo. SPAR-logo. Mastercard-logo. CVS Health-logo. Het logo van Walt Disney.
Aramco-logo Mercedes-logo. Costco Wholesale-logo. Shell-logo. Accenture logo. NVIDIA-logo. SPAR-logo. Mastercard-logo. CVS Health-logo. Het logo van Walt Disney.
Google-logo. Hays-logo. PayPal-logo. Siemens-logo. Nike-logo. Volkswagen-logo. LVMH-logo.
Google-logo. Hays-logo. PayPal-logo. Siemens-logo. Nike-logo. Volkswagen-logo. LVMH-logo.
Nestlelogo. Novartis-logo. Spotify-logo. Aramco-logo. Mercedes-logo. Costco Wholesale-logo.
Nestlelogo. Novartis-logo. Spotify-logo. Aramco-logo. Mercedes-logo. Costco Wholesale-logo.
Shell-logo. Accenture logo. NVIDIA-logo. SPAR-logo. Mastercard-logo. CVS Health-logo. Het logo van Walt Disney.
Shell-logo. Accenture logo. NVIDIA-logo. SPAR-logo. Mastercard-logo. CVS Health-logo. Het logo van Walt Disney.

Industries we transform

  • Detailhandel
  • Onroerend goed
  • Financien
  • Verzekering
  • Logistiek

By architecting unified, real-time data ecosystems, we connect sales, inventory, and behavioral insights into one actionable platform. This enables precision forecasting, dynamic pricing, and personalized engagement. Retailers gain the clarity to optimize every shelf, every offer, every transaction.

  • Increased sales from optimized stock levels
  • Higher revenue through personalized offers
  • Betere klantenbinding
Detailhandel

In real estate, decisions hinge on fast access to fragmented data — leases, listings, tenant info, and financials. We build centralized data platforms that bring all of it together, automating manual work like lease extraction and enabling dynamic dashboards for asset performance and regional trends.

  • Faster deal cycles and approvals
  • Significant reduction in manual data handling
  • Lower operational overhead
Onroerend goed

Financial institutions can’t afford data delays. We architect secure data environments that give teams real-time visibility into risks. From API integration to regulatory reporting automation, we help finance clients reduce overhead, stay compliant, and act fast when the market shifts.

  • Stronger fraud prevention and detection
  • Reduced compliance costs
  • Increased trust in data-driven decisions
Financien

We help insurers streamline claims and customer management by unifying siloed systems into an efficient data environment. Whether it's accelerating underwriting, predicting fraud, or tailoring coverage with real-time insights, we give insurance teams the tools to make smarter decisions faster.

  • Shorter claim processing times
  • Improved pricing accuracy
  • Reduced exposure to fraudulent claims
Verzekering

Efficiency in logistics depends on how fast you can react, and that depends on how your data flows. We build architectures that integrate live fleet tracking, WMS, and TMS systems into a cohesive control layer to anticipate disruptions, optimize delivery routes, and align operations in real time.

  • Fewer delivery delays and disruptions
  • Better planning from real-time insights
  • Higher fleet and warehouse productivity
Logistiek
Philip Tikhanovich
Hoofd afdeling Big Data

In 2025, data architecture is shifting from rigid pipelines to dynamic ecosystems. The real innovation lies in combining data mesh’s decentralized ownership with data fabric’s automation — enabling governed self-service, real-time observability, and AI-powered lineage across the entire data lifecycle. 
For clients, this means faster access to trustworthy data, fewer bottlenecks between teams, and the ability to make data-driven decisions at scale.

Philip Tikhanovich
Hoofd afdeling Big Data

Advanced data architecture solutions

ETL/ELT Workflows architecture
Gegevensmodellering
Data lake architecture
Gegevensbeheer
Data lakehouse architecture
Databaseontwerp
Data orchestration 
& automation
Data pipelines healthcheck monitoring
Beheer van stamgegevens
Migration between 
BI systems

Ons proces

Initial assessment

We dig into your current setup, uncover 
blind spots, and align your data goals 
with real business impact.

Implementation strategy

We map out the smartest path forward — choosing the right tools, platforms, and architecture for your unique needs.

Structure design

We bring your architecture to life, building clean data models, robust pipelines, and storage 
that scales.

Inzet

Zero chaos, full functionality. Your new data ecosystem goes live without disruption.

Datavisualisatie en -rapportage

We don’t stop at structure; we connect your data 
to BI tools and dashboards that tell stories, 
not just stats.

Take control of your data

We build the data infrastructure you need to thrive, 
not just survive.

Our data architecture tools

ETL Tools
  • Apache NiFi
  • Talend
  • Informatica PowerCenter
  • IBM InfoSphere DataStage
  • SSIS
  • Apache Kafka
  • Dremio
  • RabbitMQ
  • Amazon Kinesis
  • Google Cloud Pub/Sub
  • Apache Pulsar
  • Denodo
Data Warehouse Tools
  • MySQL
  • PostgreSQL
  • SQL Server
  • Oracle
  • MongoDB
  • Cassandra
  • Couchbase
  • DynamoDB
  • Google Firestore
  • Parquet
  • InfluxDB
  • OpenTSDB
  • TimescaleDB
  • Snowflake
  • Amazon Redshift
  • Clickhouse
  • Vertica
  • Google BigQuery
  • Azure Synapse Analytics
  • Teradata
Cloud platforms
BI and Data Visualization
  • Domo
  • Sisense
  • ThoughtSpot
  • Google Data Studio

Waarom Innowise?

We don’t just design data architecture, we make it work in 
the real world. From predictive analytics in healthcare to live insurance dashboards, our team builds systems that deliver clarity, not complexity. We’ve done it across 120+ projects, helped companies cut operational costs by 20–40%, and delivered insights 30% faster with clean, scalable architecture.

Kies uw prijsmodel

Vaste prijs

If you have a clear scope, we’ll help you define the technical specs, estimate the timeline, and deliver within a set budget.

Tijd & materialen met een cap

You see exactly where the time and money go, and you only pay for what’s actually done. The spending cap sets a clear limit, so you stay in control with no runaway costs.

Turn your data chaos into clarity

Whether you’re drowning in spreadsheets or scaling fast — we’ll build the architecture to power smarter decisions.

Wat onze klanten vinden

Joanna Wolynska HR & Project Manager Netdevops Luxemburg S.a.r.l
Netdevops' logo

"Dankzij de hulp van Innowise konden we het project op tijd afronden. Hun flexibele en flexibele aanpak resulteerde in een soepele samenwerking. Uiteindelijk waren ze communicatief, responsief en makkelijk om mee samen te werken, bovenop het feit dat ze technisch vaardig waren."

  • IndustrieIT-diensten
  • Grootte van het team1 specialist
  • Duur6+ maanden
  • DienstenSoftware ontwikkeling op maat
Johannes Schweifer CEO CoreLedger AG
CoreLedger AG's logo

"Innowise heeft een geweldige applicatie gebouwd vanuit het niets in een verbazingwekkend korte tijd van slechts ongeveer 3 weken. Hun senioriteit en diepgaande ervaring op dit gebied maken hen tot waardevolle partners."

  • IndustrieIT-diensten
  • Grootte van het team6 specialisten
  • Duur17+ maanden
  • DienstenMobiele app ontwikkelen
Tim Benedict CTO Vitreus
Vitreus's logo

"Innowise heeft met succes de MVP van de klant opgeleverd en markeert daarmee het succes van het project. Het team biedt uitstekend projectmanagement, ze zijn zeer efficiënt en leveren altijd op tijd. Over het geheel genomen zijn hun passie en diepgaande expertise uitstekend."

  • IndustrieZakelijke diensten
  • Grootte van het team30 specialisten
  • Duur15 maanden
  • DienstenArchitectonisch ontwerp, blockchain, ontwikkeling op maat

FAQ

What is data architecture in a company?

Data architecture is the structural design that governs how data flows through your organization, from ingestion to storage, transformation, access, and analytics. It defines the standards, tools, and models that ensure data is accurate, secure, and usable across departments. Without a solid architecture, data becomes fragmented and unreliable, leading to poor decision-making and missed opportunities.

The most important part of data architecture is designing a system that can scale efficiently, maintain data integrity, and support business goals through reliable analytics. That includes choosing the right storage models (e.g. data lakes vs. warehouses), ensuring clean data pipelines, and setting up governance for security, lineage, and access control. When done right, it helps everyone in the company make faster, smarter decisions and sets the stage for things like analytics, AI, and compliance.

Data architecture services typically include assessment of your current data environment, design of logical and physical data models, development of ETL/ELT pipelines, setup of data warehouses or lakehouses, implementation of governance and security policies, and integration with BI tools. The goal is to create a scalable, secure, and analytics-ready data ecosystem tailored to your business needs.

Some common examples of data architecture include a centralized data warehouse that consolidates data from multiple departments for unified reporting, an ELT pipeline that processes retail transactions in near real time, or a data lakehouse that merges raw IoT sensor data with curated datasets for advanced analytics. These architectures are designed to support specific business needs like forecasting, personalization, or regulatory compliance.

Data architecture is about organizing and managing data in traditional systems, making it easy to access and store. Big data architecture, on the other hand, is built to handle large amounts of fast-moving data. The main difference is that data architecture is for regular data management, while big data architecture is designed to scale and process massive datasets in real time.

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    Waarom Innowise?

    2000+

    IT-professionals

    93%

    terugkerende klanten

    18+

    jarenlange expertise

    1300+

    succesvolle projecten

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