DataOps Dienstleistungen

Transform your data into a powerful asset that drives informed decisions and adapts to your evolving requirements with our DataOps services.

20+

DataOps projects

Transform your data into a powerful asset that drives informed decisions and adapts to your evolving requirements with our DataOps services.

20+

DataOps projects

Why businesses might need DataOps consulting services

Inefficient data engineering processes

Excessive manual work in data operations

Inconsistent data quality

Challenges in data security and compliance

Slow adaptability to changing business needs

Data engineering bottlenecks

Inefficient data engineering processes

Innowise’s team implements automated data pipelines with orchestration tools like Apache Airflow and Apache NiFi to enable consistent loading of data into target systems coming from different sources.

Excessive manual work in data operations

Through automation of repetitive tasks and the use of scripts and workflow management systems, we reduce manual effort, allowing teams to concentrate on more strategic activities.

Inconsistent data quality

We design frameworks that automate validation checks in the data quality process, which maintain accuracy, consistency, and completeness at all layers of the data pipeline.

Challenges in data security and compliance

Our experts protect sensitive data with encryption, enforce strict access controls, and conduct regular audits — all to prevent unauthorized access and provide adherence to regulations.

Slow adaptability to changing business needs

To address slow responses to changes in business needs, we design flexible data architectures using cloud-based solutions like AWS or Azure — enabling rapid scalability and easy modifications.

Data engineering bottlenecks

Our approach includes establishing solid monitoring systems to track performance, holding training, and implementing continuous improvement practices through regular assessments.

Inefficient data engineering processes

Excessive manual work in data operations

Through automation of repetitive tasks and the use of scripts and workflow management systems, we reduce manual effort, allowing teams to concentrate on more strategic activities.

Inconsistent data quality

We design frameworks that automate validation checks in the data quality process, which maintain accuracy, consistency, and completeness at all layers of the data pipeline.

Challenges in data security and compliance

Our experts protect sensitive data with encryption, enforce strict access controls, and conduct regular audits — all to prevent unauthorized access and provide adherence to regulations.

Slow adaptability to changing business needs

To address slow responses to changes in business needs, we design flexible data architectures using cloud-based solutions like AWS or Azure — enabling rapid scalability and easy modifications.

Data engineering bottlenecks

Our approach includes establishing solid monitoring systems to track performance, holding training, and implementing continuous improvement practices through regular assessments.

Get comprehensive DataOps services

Our DataOps services focus on building efficient, scalable, and secure data environments — allowing businesses to make real-time decisions

Data pipeline automation

We automate data workflows to minimize manual intervention and accelerate the delivery of valuable insights.

Datenintegration

Our DataOps engineers apply cleaning, transformation, and synchronization techniques to guarantee data consistency throughout multiple sources.

Datenqualitätsmanagement

While providing DataOps services, our team strategically implements checks and validations to maintain data accuracy and reliability.

Datenverwaltung

We handle data governance by setting clear policies, managing metadata, providing access control, and maintaining data quality.

Datensicherheit und Compliance

Innowise guarantees adherence to industry standards like GDPR, HIPAA, and others — managing data handling to prevent breaches and guarantee legal conformity.

DataOps strategy and consulting

Our consulting experts create aligned custom strategies to help improve data accuracy, simplify processes, and speed up time-to-insight.

Make the most of your data with Innowise! We’re ready to make your data more reliable and accessible for analysis.

Industrien in denen wir arbeiten

Finanzen & Bankwesen
Gesundheitswesen
Einzelhandel und eCommerce
Telekommunikation
Manufacturing & supply chain
Energie & Versorgung
Automobile
Finanzdienstleistungen
Transportation & logistics

Finanzen & Bankwesen

DataOps supports banks and financial institutions in maintaining compliance with regulatory requirements by providing automated, auditable data trails.

Improved financial reporting and decision-making processes
Boosted fraud detection
Simplified compliance with financial regulations

Gesundheitswesen

Managing sensitive patient data across various systems, complying with regulations, and using real-time analytics for improved patient care highlight the need for reliable DataOps strategies.

Real-time patient monitoring
Automated compliance and data security
A holistic, up-to-date view of each patient’s health

Einzelhandel und eCommerce

DataOps plays a key role in automating data integration across multiple channels, including online stores, POS systems, and customer touchpoints.

Personalized customer engagement
More targeted marketing strategies
Optimized inventory forecasting

Telekommunikation

With automated collecting and processing of data from different network elements, telecom companies can detect and resolve performance issues early.

Real-time monitoring and optimization of network performance
More tailored and responsive service offerings
Faster deployment of new services and network updates

Manufacturing & supply chain

By automating data workflows, well-crafted DataOps allow manufacturing & supply chain businesses to analyze production and inventory data effectively.

Improved production schedules and minimized downtime
Higher supply chain visibility and responsiveness
Optimized distribution and reduced consumption waste

Energie & Versorgung

Automated data pipelines allow energy and utility organizations to optimize resource allocation and predictive maintenance.

Improved resource allocation and consumption tracking
Faster response to outages and maintenance needs
Accurate and timely reporting through automated compliance reporting

Automobile

In the automotive industry, DataOps automates the flow of vehicle data to enable real-time diagnostics, helping manufacturers quickly identify and address performance issues.

Real-time diagnostics and performance monitoring
Reduced breakdowns and increased reliability
Improved customer insights

Finanzdienstleistungen

Our DataOps services can automate data workflows, allowing insurers to process claims more efficiently and assess risk with greater accuracy.

Up-to-date risk models for faster underwriting decisions
Faster claims data processing
Personalized customer services

Transportation & logistics

DataOps helps integrate data from shipping companies, warehouses, and fleet management systems, providing real-time visibility into the movement of goods.

Higher delivery accuracy and reduced transit times
Reduced delays and mismanagement
Higher supply chain transparency

Fallstudien

Our approach to DataOps services

In providing DataOps as a service, we adopt a collaborative approach — meaning we’re always open to discussions and ready to craft solutions for each demand that best fits the client’s current and strategic objectives.

Detailed project outline

We start with a clear project definition to make sure all stakeholders are aligned, preventing scope creep.

Precise cost estimation

Through strict risk assessments and realistic cost analyses, Innowise guarantees to maintain financial transparency from the start.

Kollaborativer Ansatz

Our experts build an environment where effective partnership and mutual respect for each participant are the cornerstones.

Qualitätssicherung

Quality control is paramount at every process stage — allowing us to identify and resolve issues early.

Solid data security

We employ encryption, controls for access, and continuous monitoring, enabling the safeguarding of sensitive information.

Hohe Skalierbarkeit

Our approach guarantees that as your data needs evolve, our systems can expand and adjust accordingly.

Choose Innowise as a DataOps consulting company

Innowise brings in only the top 3% of software engineers so that you can work with people who excel in their field. We continuously improve on what we know, and with more than 17 years of experience, our proficiency grows through each project we undertake. Let’s grow and thrive together!

Philip Tsikhanovich Leiter der Big Data-Abteilung bei Innowise

“Our DataOps services are all-encompassing. We automate, monitor, and optimize the scaling of your data pipelines to guarantee that no matter how complex your infrastructure is, there will always be speed and consistency in the data output. With modern tools and best practices, see how our team clears bottlenecks for smooth data integration, management, and delivery.”

Our DataOps process

Planung

Business, product, and engineering teams come together to define metrics and standards for data quality and availability.

Build-Management

Data engineers and data scientists create data products and machine learning models in this stage that will later power applications.

Die Integration

This is the process stage when code and the data product are integrated into an organization's overall tech stack.

Testen

Testing may include data integrity tests, completeness tests, and checking data compliance with business rules.

Releasing and deploying

This stage implies planning the release, conducting thorough testing, and employing CI/CD practices to automate the process.

Operating and monitoring

Data pipelines run continuously, so we use statistical process controls to monitor for anomalies and address them early.

Planung

Business, product, and engineering teams come together to define metrics and standards for data quality and availability.

Build-Management

Data engineers and data scientists create data products and machine learning models in this stage that will later power applications.

Die Integration

This is the process stage when code and the data product are integrated into an organization's overall tech stack.

Testen

Testing may include data integrity tests, completeness tests, and checking data compliance with business rules.

Releasing and deploying

This stage implies planning the release, conducting thorough testing, and employing CI/CD practices to automate the process.

Operating and monitoring

Data pipelines run continuously, so we use statistical process controls to monitor for anomalies and address them early.

Planung

Business, product, and engineering teams come together to define metrics and standards for data quality and availability.

Build-Management

Data engineers and data scientists create data products and machine learning models in this stage that will later power applications.

Die Integration

This is the process stage when code and the data product are integrated into an organization's overall tech stack.

Testen

Testing may include data integrity tests, completeness tests, and checking data compliance with business rules.

Releasing and deploying

This stage implies planning the release, conducting thorough testing, and employing CI/CD practices to automate the process.

Operating and monitoring

Data pipelines run continuously, so we use statistical process controls to monitor for anomalies and address them early.

Want to transform your data processes? Our DataOps team can help you achieve improved data quality, faster data delivery, better collaboration between teams, and other measurable benefits.

17+

Jahre Expertenerfahrung

Standorte weltweit

1800+

zertifizierte Experten

17+

Jahre Expertenerfahrung

Standorte weltweit

1800+

zertifizierte Experten

Standorte weltweit

93%

wiederkehrende Kunden

17+

Jahre Expertenerfahrung

Standorte weltweit

93%

wiederkehrende Kunden

17+

Jahre Expertenerfahrung

17+

Jahre Expertenerfahrung

1800+

zertifizierte Experten

93%

wiederkehrende Kunden

17+

Jahre Expertenerfahrung

1800+

zertifizierte Experten

93%

wiederkehrende Kunden

Want to transform your data processes? Our DataOps team can help you achieve improved data quality, faster data delivery, better collaboration between teams, and other measurable benefits.

17+

Jahre Expertenerfahrung

Standorte weltweit

93%

wiederkehrende Kunden

1800+

zertifizierte Experten

17+

Jahre Expertenerfahrung

Standorte weltweit

93%

wiederkehrende Kunden

1800+

zertifizierte Experten

17+

Jahre Expertenerfahrung

Standorte weltweit

93%

wiederkehrende Kunden

1800+

zertifizierte Experten

17+

Jahre Expertenerfahrung

Standorte weltweit

93%

wiederkehrende Kunden

1800+

zertifizierte Experten

Core DataOps technologies we work with

Apache Airflow
Luigi
Prefect

Kubeflow Pipelines
Dagster

Apache Nifi
Talend
Fivetran

Stitch
Informatica PowerCenter
Apache Kafka

Great Expectations
Deequ
Talend Data Quality

Ataccama
Datafold

Collibra
Alation
Informatica Axon

Apache Atlas
Microsoft Purview

Apache Kafka
Debezium
Google Cloud Dataflow

Apache Flink
Confluent

AWS KMS
Apache Ranger
Snowflake Security Features
Databricks Data Governance

Okta
OneTrust
BigID
HashiCorp Vault

DataKitchen
Unravel
StreamSets

Cognizant
Wipro
Tata Consultancy Services
(TCS)

Anerkannt von den Besten
unter den Besten

Alles anzeigen

Weniger anzeigen

Wählen Sie Ihr Preismodell

Fixed-price

This option means the price is agreed upon and calculated based on the anticipated time and effort required. You pay a set amount for a defined scope of work, getting predictability. However, it provides limited flexibility for changes throughout the project.

Zeit und Material

This option means you pay for our team’s actual hours worked. The cost varies based on the time spent and the specialists involved. This approach enables adjustments during the project, with additional hours charged as needed.

Was unsere Kunden sagen

Egzon Gajtani Koordinator strategischer Projekte Tangoo Professional Network

"Wir waren mit dem Ergebnis des Projekts und den Leistungen von Innowise sehr zufrieden. Sie waren sehr reaktionsschnell und haben rechtzeitig kommuniziert, was eine reibungslose und effiziente Zusammenarbeit ermöglichte."

Industrie IT-Services
Teamgröße 2 Spezialisten
Projektdauer 6 Monate
Dienste Personalaufstockung

Joakim Rosen Hauptentwickler YouWish AS

“Innowise hat viele Projekte abgeschlossen und erfüllt seine Aufgaben durchweg gut. Ihr ergebnisorientierter Ansatz ermöglicht es ihnen, ihre Bemühungen je nach den erforderlichen Ergebnissen schnell zu skalieren.”

Industrie Verbraucherprodukte
Teamgröße 4 Spezialisten
Projektdauer 28+ Monate
Dienste Personalaufstockung

Gian Luca De Bonis CEO & CTO Enable Development OÜ

Wir sind beeindruckt von ihrer Flexibilität und ihrer Bereitschaft, Lösungen für herausfordernde Situationen zu finden. Sie haben in jeder Situation aktiv geholfen. Die Bereitschaft des Teams, optimale Ergebnisse zu liefern, sichert den Erfolg der Partnerschaft.

Industrie IT consulting
Teamgröße 8
Projektdauer 36 Monate
Dienste Personalaufstockung

FAQ

They differ in the areas they target: DataOps targets data processes, while DevOps targets software delivery. DataOps is all about automating data pipelines and continuous integration to increase efficiency and quality in data management and analytics. DevOps, on the other hand, amplifies the collaboration between software development and operation to deliver software reliably.

Both methodologies are designed to improve collaboration, efficiency, and quality, but they target different aspects of data and machine learning workflows. While DataOps focuses on the data lifecycle and analytics processes, MLOps covers the model deployment and operation aspects of machine learning.

Certainly! You just have to get in touch with us, and we will work with you to closely evaluate your existing systems and identify the ways and means to optimize them. We guarantee a frictionless integration effort to maximize your data workflows and improve collaboration across your teams. Let’s get started!

Buchen Sie einfach einen Anruf und erhalten Sie alle Antworten, die Sie benötigen.

Buchen Sie einen Anruf

Kontaktieren Sie uns

Buchen Sie einen Anruf oder füllen Sie das Formular unten aus und wir melden uns bei Ihnen, sobald wir Ihre Anfrage bearbeitet haben.

Name

Unternehmen

E-Mail

Telefon

Nachricht Bitte fügen Sie Projektdetails, Dauer, Technologie-Stack, benötigte IT-Experten und andere Infos bei.

Bitte fügen Sie Projektdetails, Dauer, Technologie-Stack, benötigte IT-Experten
und andere Infos bei.

Hängen Sie nach Bedarf zusätzliche Dokumente an.

Datei hochladen

Sie können bis zu 1 Datei von insgesamt 2 MB anhängen. Gültige Dateien: pdf, jpg, jpeg, png

Bitte beachten Sie, dass Innowise mit dem Anklicken der Schaltfläche 'Senden' Ihre persönlichen Daten nach der Datenschutzrichtlinie verarbeiten wird, um Ihnen die gewünschten Informationen zukommen zu lassen.