Data science as a service (DSaaS)

Drowning in data, short on direction? Innowise brings data science know-how to cut reporting by 60%, slash costs by 40%, and spot ROI-boosting wins. We turn messy data into clear dashboards that move your business forward.

40+

erfolgreich abgeschlossene DSaaS-Projekte

40+

Dateningenieure

5+

years in big data

85%

Spezialisten der mittleren und oberen Ebene

Drowning in data, short on direction? Innowise brings data science know-how to cut reporting by 60%, slash costs by 40%, and spot ROI-boosting wins. We turn messy data into clear dashboards that move your business forward.

40+

erfolgreich abgeschlossene DSaaS-Projekte

40+

Dateningenieure

5+

years in big data

85%

Spezialisten der mittleren und oberen Ebene

Customer behavior is a black box You’ve got data streaming in, but churn, conversions, and loyalty still feel like guesswork. Data science experts reveal the drivers behind behavior so you can lift retention, improve targeting, and reduce churn costs.
Processes are slow and resource-heavy Your teams are stuck in repetitive tasks, manual number-crunching, or outdated systems. It’s draining time and hurts margins. With data science solutions, experts pinpoint what to automate, what to streamline, and where your operations are leaking efficiency.
Data exists, but insights don’t You’ve invested in BI tools and dashboards, but still don’t have clear answers. Reports pile up, but action doesn’t follow. Our data scientists dig deeper than dashboards, surfacing patterns that tools miss and delivering clear actions tied to ROI.
Growth is outpacing your systems As the business scales, data gets messier, teams lose visibility, and decision-making slows down. You know there’s value in the numbers, but it’s buried. Data science professionals clean, organize, and align your data so it scales with you.
Decisions rely on gut, not facts Your leadership team lacks reliable, real-time insights. That means key decisions are delayed or, worse, based on gut feeling. It’s risky, and it’s costing you. Data science solutions bring the right data to the table, on time, in context, and ready to support action.
Costs keep rising without explanation Unexpected maintenance bills, inventory waste, or hidden inefficiencies are quietly eroding profits. You know the answers are in your data, but you lack the tools to find them. Data science uncovers the cost drivers, reveals waste, and helps protect margins.

Our data science as a service offerings

  • Data cleaning & integration
  • Feature-Engineering
  • Data infrastructure pipelines
  • Analytics & BI platforms
  • Predictive model development
  • Model assessment & validation
  • Visualization & reporting
  • Empfehlungsmaschinen
  • Advanced AI & LLM integration
  • Computer vision applications
  • Fraud & risk monitoring
  • AutoML & scalable AI

Data cleaning & integration

Eliminate silos by consolidating all your sources into one clean data flow. Companies that invest in unified data typically reduce decision-making delays by 30-40%.

Data cleaning & integration

Feature-Engineering

We design the right inputs for your models, capturing hidden patterns that improve predictive accuracy. Smart features boost performance by up to 50% vs default setups.

Feature-Engineering

Data infrastructure pipelines

Automated ETL, data lakes, and warehouses that scale with demand. Businesses adopting modern pipelines see 2–3x faster reporting and 25–35% lower infrastructure costs.

Data infrastructure pipelines

Analytics & BI platforms

Real-time dashboards put insights in front of decision-makers instantly. On average, this cuts reporting time by 60% and increases adoption across teams by 40%.

Analytics & BI platforms

Predictive model development

From forecasting demand to reducing downtime, predictive ML cuts costs and prevents disruption. Clients see 15–25% lower ops costs and 20–30% more accurate forecasts.

Predictive model development

Model assessment & validation

Stress-tested models maintain stability and avoid costly failures. This reduces model drift incidents by up to 70%, ensuring reliable long-term ROI.

Model assessment & validation

Visualization & reporting

Interactive dashboards cut complexity and boost team alignment. Clear visuals accelerate decision-making, with executives reporting 30% faster response to market changes.

Visualization & reporting

Empfehlungsmaschinen

Personalized recommendations lift engagement and sales. Businesses usually achieve 10-30% higher conversion rates and 20-40% revenue growth in targeted channels.

Empfehlungsmaschinen

Advanced AI & LLM integration

We embed LLMs for automation and natural-language queries. Clients see 25-40% faster workflows, 30% lower service costs, and a sharp rise in employee productivity.

Advanced AI & LLM integration

Computer vision applications

AI-powered defect detection reduces production errors by up to 90% and enhances accuracy in medical scans by 20–40% compared to manual review alone.

Computer vision applications

Fraud & risk monitoring

Our anomaly-detection models catch threats in real time, reducing fraud losses by 30-50% and minimizing compliance risk.

Fraud & risk monitoring

AutoML & scalable AI

With AutoML, businesses accelerate model deployment by 60-80%, reduce development costs, and still maintain enterprise-level accuracy.

AutoML & scalable AI
Data cleaning & integration

Eliminate silos by consolidating all your sources into one clean data flow. Companies that invest in unified data typically reduce decision-making delays by 30-40%.

Data cleaning & integration
Feature-Engineering

We design the right inputs for your models, capturing hidden patterns that improve predictive accuracy. Smart features boost performance by up to 50% vs default setups.

Feature-Engineering
Data infrastructure pipelines

Automated ETL, data lakes, and warehouses that scale with demand. Businesses adopting modern pipelines see 2–3x faster reporting and 25–35% lower infrastructure costs.

Data infrastructure pipelines
Analytics & BI platforms

Real-time dashboards put insights in front of decision-makers instantly. On average, this cuts reporting time by 60% and increases adoption across teams by 40%.

Analytics & BI platforms
Predictive model development

From forecasting demand to reducing downtime, predictive ML cuts costs and prevents disruption. Clients see 15–25% lower ops costs and 20–30% more accurate forecasts.

Predictive model development
Model assessment & validation

Stress-tested models maintain stability and avoid costly failures. This reduces model drift incidents by up to 70%, ensuring reliable long-term ROI.

Model assessment & validation
Visualization & reporting

Interactive dashboards cut complexity and boost team alignment. Clear visuals accelerate decision-making, with executives reporting 30% faster response to market changes.

Visualization & reporting
Empfehlungsmaschinen

Personalized recommendations lift engagement and sales. Businesses usually achieve 10-30% higher conversion rates and 20-40% revenue growth in targeted channels.

Empfehlungsmaschinen
Advanced AI & LLM integration

We embed LLMs for automation and natural-language queries. Clients see 25-40% faster workflows, 30% lower service costs, and a sharp rise in employee productivity.

Advanced AI & LLM integration
Computer vision applications

AI-powered defect detection reduces production errors by up to 90% and enhances accuracy in medical scans by 20–40% compared to manual review alone.

Computer vision applications
Fraud & risk monitoring

Our anomaly-detection models catch threats in real time, reducing fraud losses by 30-50% and minimizing compliance risk.

Fraud & risk monitoring
AutoML & scalable AI

With AutoML, businesses accelerate model deployment by 60-80%, reduce development costs, and still maintain enterprise-level accuracy.

AutoML & scalable AI

Seeing problems too late to fix them fast?

Our data science experts catch the drop before it costs you.

Data science solutions we provide

Prädiktive Analyse Icon
Anomaly and risk detection Icon
Operational intelligence Icon
Customer insights & segments Icon
Churn & retention modeling Icon
Revenue & pricing optimization Icon
Workforce & resource planning Icon
Supply chain forecasting Icon
Smart search & discovery Icon
Fulfillment optimization Icon
Cause & effect analysis Icon
Energy & efficiency tuning Icon
Leiter der Abteilung Big Data und AI

Having more data doesn’t help if you can’t make sense of it. What businesses really need is clarity. Our job is to find the signal in the noise and turn it into decisions that move the business forward. That’s where data science as a service makes the difference: you get experienced minds, proven methods, and production-ready results, without the delays and risk of building it all in-house.

Leiter der Abteilung Big Data und AI

Choose Innowise as your data science service provider

Good data science belongs in the real world, not buried in Jupyter notebooks. At Innowise, we make it clear, functional, and built to deliver. From cleanup to deployment, we move fast, integrate seamlessly, and bring outcomes tied to revenue and scale.

Analytics areas covered by our DSaaS solutions

  • Supply chain analytics

Forecast demand with accuracy, balance inventory, and cut logistics costs by 10-20%. We turn fragmented data into strategies that reduce disruption and maximize margins.

  • Operations analytics

Uncover bottlenecks, improve throughput, and monitor KPIs in real time. Clients often see 15-30% faster workflows and measurable efficiency gains across operations.

  • Risk & compliance analytics

Spot risks before they escalate — from financial exposure to regulatory drift. Our models reduce compliance incidents by up to 40%, keeping you audit-ready at all times.

  • Produktionsanalyse

For manufacturers, we use sensor and machine data to improve yield and reduce downtime, typically cutting production losses by 15-25%.

  • Prädiktive Wartung

AI-driven monitoring predicts failures before they occur, reducing unplanned downtime by 30-50% and lowering repair costs significantly.

  • Customer & product analytics

Reveal buying patterns, segment audiences, and optimize product strategies. Businesses report 10-20% higher retention and faster product adoption.

  • Finanzanalyse

Move from static reporting to dynamic forecasting and scenario modeling. This approach improves budgeting accuracy by 20-30% and strengthens cost control.

  • Umsatzprognose

Our models account for seasonality and uncertainty, making pipelines more reliable. On average, sales teams see 15-25% greater forecast accuracy.

  • Marketing analytics

Identify which campaigns drive conversions, not just clicks. Optimized spend leads to 20-40% better ROI on marketing budgets.

  • Workforce & HR analytics

Predict churn, optimize hiring, and align workforce planning. Companies typically reduce turnover by 10-15% while improving recruitment outcomes.

  • Quality & defect analytics

Detect issues earlier using images, logs, and inspections. This helps reduce rework by up to 30% and boosts customer satisfaction.

  • Fraud & anomaly detection

Catch suspicious activity in real time, lowering fraud losses by 30-50% and safeguarding revenue streams without disrupting the user experience.

Google-Logo. Hays-Logo. PayPal-Logo. Siemens-Logo. Nike-Logo. Volkswagen-Logo. LVMH-Logo. Nestle-Logo. Novartis-Logo. Spotify-Logo.
Google-Logo. Hays-Logo. PayPal-Logo. Siemens-Logo. Nike-Logo. Volkswagen-Logo. LVMH-Logo. Nestle-Logo. Novartis-Logo. Spotify-Logo.
Aramco-Logo Mercedes-Logo. Costco Wholesale-Logo. Shell-Logo. Accenture-Logo. NVIDIA-Logo. SPAR-Logo. Mastercard-Logo. CVS Health-Logo. Das Walt Disney-Logo.
Aramco-Logo Mercedes-Logo. Costco Wholesale-Logo. Shell-Logo. Accenture-Logo. NVIDIA-Logo. SPAR-Logo. Mastercard-Logo. CVS Health-Logo. Das Walt Disney-Logo.
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.
Nestle-Logo.Novartis-Logo.Spotify-Logo.Aramco-Logo.Mercedes-Logo.Costco Wholesale-Logo.
Nestle-Logo.Novartis-Logo.Spotify-Logo.Aramco-Logo.Mercedes-Logo.Costco Wholesale-Logo.
Shell-Logo.Accenture-Logo.NVIDIA-Logo. SPAR-Logo.Mastercard-Logo.CVS Health-Logo.Das Walt Disney-Logo.
Shell-Logo.Accenture-Logo.NVIDIA-Logo. SPAR-Logo.Mastercard-Logo.CVS Health-Logo.Das Walt Disney-Logo.

Our data science as a service methodology

Business goal mapping

  • Translating goals into data science objectives
  • Aligning scope with business priorities and KPIs
  • Identifying success metrics and risk factors

Data audit & access

  • Auditing all available data sources and formats
  • Resolving quality issues, gaps, and duplicates
  • Structuring and unifying data for analysis

Exploratory analysis

  • Visualizing trends, distributions, and patterns
  • Identifying correlations and early hypotheses
  • Flagging anomalies, noise, or missing signals

Model design

  • Choosing algorithms aligned with project goals
  • Building baseline models for benchmarking
  • Reiterating based on early performance results

Model validation

  • Testing models on real, unseen business data
  • Optimizing for accuracy, recall, and precision
  • Stress-testing for edge cases and variability

Systemintegration

  • Packaging model for production environments
  • Integrating with existing tech infrastructure
  • Enabling real-time or batch predictions

Laufender Support

  • Tracking drift, performance, and accuracy drops
  • Scheduling periodic model updates
  • Providing ongoing tech and business support

Our industry-focused data science solutions

  • Herstellung
  • Gesundheitswesen und Biowissenschaften
  • Einzelhandel & E-Commerce
  • Logistik und Lieferkette
  • Finance & insurance
  • Energie & Versorgungsunternehmen
  • Telecom & media
  • SaaS & technology

Increase uptime, reduce waste, and boost throughput by embedding intelligence across your production lines and operations. Our data science solutions are designed to improve decision-making on the factory floor and beyond.

  • Predictive maintenance for machines and assets
  • Computer vision for defect and anomaly detection
  • Process analytics for yield and energy efficiency
Herstellung

Gesundheitswesen & life sciences

Accelerate diagnostics, personalize treatment, and unlock insights from complex datasets, while staying compliant with regulations. We support data-driven decisions that improve outcomes at scale.

  • Patient risk scoring and triage modeling
  • Medical imaging analysis with AI
  • Clinical trial optimization and analytics
Gesundheitswesen und Biowissenschaften

Drive personalized experiences, optimize inventory, and boost profitability with a 360° view of your customers and products. We help retailers turn window shopping into real purchases — both online and offline.

  • Dynamic pricing and promotion engines
  • AI-powered recommendation systems
  • Customer segmentation and behavior modeling
Einzelhandel & E-Commerce

Logistik & supply chain

Cut delays, lower costs, and boost on-time delivery by bringing predictability and automation to every node of your supply chain. Our solutions help you anticipate disruptions, optimize routes, and make faster, data-backed decisions.

  • Route optimization and delivery forecasting
  • Inventory planning and stockout prevention
  • Real-time disruption modeling
Logistik und Lieferkette

Make smarter, faster, and safer decisions. From underwriting and risk assessment to fraud detection, our data science experts help strengthen resilience, reduce losses, and protect margins across operations.

  • Credit scoring and portfolio risk modeling
  • Real-time fraud and anomaly detection
  • Claims automation and compliance analytics
Finance & insurance

Balance demand, reduce outages, and optimize resource use through predictive modeling and real-time data integration. Whether you're managing grids, utilities, or renewables, we help improve reliability and support smarter energy distribution at scale.

  • Energy demand and load forecasting
  • Grid monitoring and fault prediction
  • Consumption analytics for efficiency
Energie & Versorgungsunternehmen

Reduce churn, personalize content, and manage bandwidth proactively. We help telecom and media companies understand user behavior, forecast demand, and optimize infrastructure for performance and retention.

  • Subscriber churn prediction
  • Content recommendation and targeting
  • Network traffic and capacity forecasting
Telecom & media

SaaS & technology

Improve features with product-level analytics that align directly with your roadmap and tech stack. Our solutions uncover behavioral patterns, highlight friction points, and support faster, product decision-making at every stage of growth.

  • Feature adoption and usage analysis
  • Churn modeling and retention forecasting
  • LLM and AI integration into product workflows
SaaS & technology

Drowning in dashboards but starving for answers?

Our data science experts turn noise into next steps, with impact you can track.

Our data science tech stack

Datenverarbeitung und -verwaltung
  • Apache Hadoop
  • Apache Spark
  • ETL Tools
Datenanalyse und ML
  • SciPy
  • Pandas
Big-Data-Technologien
  • Apache Kafka
  • MongoDB
  • Cassandra
  • HBase
Cloud-Plattformen
Datenvisualisierung
  • Matplotlib
  • seaborn
KI und Deep Learning
  • Keras
  • PyTorch
  • TensorFlow
  • MXNet
  • Chainer
  • Theano
  • Transformers
  • bitsandbytes
  • OpenNN
Datenbankverwaltungssysteme
  • MySQL
  • PostgreSQL
  • Microsoft SQL
  • Snowflake
  • Amazon Redshift
DevOps und DataOps
  • Jenkins
  • GitLab CI/CD

Was unsere Kunden denken

Dr. Felix Berthelmann Geschäftsführer Digital Science
Firmenlogo

"Innowise hat sich im Laufe der Jahre stets als langfristiger, zuverlässiger Partner erwiesen. Das kontinuierliche und qualitative Level der erbrachten Dienstleistungen hat maßgeblich zum Erfolg unserer gemeinsamen Projekte beigetragen."

  • Branche Gesundheitswesen, Pharma, Lebenswissenschaften
  • Teamgröße 2 Spezialisten
  • Dauer 44 Monate
  • Leistungen Personalaufstockung, Datenwissenschaft
Pierre Sipidin CEO PS Consult
Firmenlogo

"Ich war ehrlich gesagt sehr zufrieden mit ihrer Arbeit. Der Kunde kann jetzt eine Aufgabe, die früher 10–15 Minuten dauerte, in Sekunden erledigen. Das Projekt hat zu finanziellen und zeitlichen Einsparungen geführt, und Innowise hat während des gesamten Vorgangs eine Reihe von technologischen Fachkenntnissen bereitgestellt."

  • Branche IT-Services
  • Teamgröße 1 Spezialist
  • Dauer 7 Tage
  • Leistungen Individuelle Softwareentwicklung, Beratung, Personalaufstockung
Dominik Märkl Leiter OneStop Pro
Firmenlogo

"Wenn es um den Umgang mit Drucksituationen geht, hat Innowise immer sein Geschick unter Beweis gestellt. Sie tun dies, indem sie ein klares Verständnis unserer erwarteten Ergebnisse aufweisen, dass unser Unternehmen zu Wachstum und Kundenzufriedenheit führt."

  • Branche Bauwesen
  • Teamgröße 7 Spezialisten
  • Dauer 36+ Monate
  • Leistungen Individuelle Softwareentwicklung

FAQ

What is data science as a service?

Data science as a service (DSaaS) is a model where expert data teams, tools, and infrastructure are provided on demand to help businesses analyze data, build predictive models, and generate actionable insights, without needing an in-house data science team. It’s ideal for businesses that need fast, scalable insights, want to avoid the cost of full-time hires.

How do data science service providers secure data?

Data science service providers secure data using multi-layered measures: encryption during storage and transmission, strict user access controls, anonymization or pseudonymization of sensitive data, and secure cloud environments. They also adhere to key compliance frameworks such as GDPR, HIPAA, and SOC 2 to ensure industry-specific data protection, regulatory alignment, and long-term trust from clients.

How does data science as a service benefit businesses?

DSaaS helps companies unlock value from their data without building costly internal teams. It enables faster decision-making, risk reduction, process automation, and more precise forecasting. For example, Airbnb increased booking conversion rates by over 3% after using machine learning models to personalize search results, built by their external data science partners.

How do you ensure the quality of data analytics insights?

High-quality data analytics starts with clean, consistent data and robust validation processes. We apply proven methodologies like cross-validation, A/B testing, and error analysis to evaluate model accuracy and reliability. Our team continuously monitors performance, updates assumptions, and aligns insights with business goals, so outputs are not just accurate but also relevant in real-world scenarios.

What are the key differences between Data Science und Datenanalyse?

Data analytics focuses on interpreting existing data to uncover trends, answer specific questions, and support decisions — often using dashboards, reports, and descriptive statistics. Data science goes further by building predictive models, applying machine learning, and uncovering patterns in complex or unstructured data. It’s forward-looking, and it enables businesses to forecast outcomes and automate intelligent decision-making.

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