Efficiently model your business and data models, and generate code for your data pipelines, data lakehouse, and analytical applications

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Any Source

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Connect seamlessly to diverse data sources and create a unified data catalog. Our flexible platform consolidates all your data, whether from databases, enterprise applications, or unstructured sources, into a single, cohesive view.

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Any Model

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Leverage a holistic, graphical modeling approach that effectively bridges the gap between business users and developers. Collaborate on a unified representation of data models using modeling wizards for Dimensional/Kimball, Data Vault 2.0, or your custom specifications.

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Any Target

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Maximize flexibility within your business intelligence ecosystem. Integrate seamlessly with Microsoft Azure and deploy your curated data to any database or data store of your choice. Visualize and analyze your data using your favorite tools like Power BI, Tableau, and Qlik Sense.

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Use Cases

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New Construction of Data Analytics Platform

Sometimes it is easer and more efficient to build something new to aim the benefits of automated life-time cycles.

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Shift your Data Analytics to Azure cloud

Using predefined and custom design patterns, get a fast shift to the Azure data platform.

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Modernize your Data Analytics Platform

Helps you transition to a modern data warehouse and data lake architecture by adopt the existing base.

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Using a Data Analytics Platform for Power BI

Get more out of your Power BI application and automatically generate data pipelines, data warehouses and Power BI models.

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Data Vault 2.0 - Integrate & Switch to

Generate the Data Vault 2.0 modelling approach using wizard suggestions.

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Create a Data Analytics Platform from SAP Sources in the Microsoft BI Stack

Transforming seamless and automated, structure and data in a modern Microsoft Azure data warehouse architecture.

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Data Lakehouse Automation (DLA)

Generating a hugely powerful and flexible data lakehouse with common design patterns.

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Data export

Using the generated Data Warehouse beyond the Microsoft approach.

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Azure Synapse Analytics

In certain cases it makes sense to use the Azure Synapse approach.

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Tableau push

Connect with Tableau to Microsoft Azure Analytics, the model will published automatically to Tableau.

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Driving Data Engineering Innovation Since 2017

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ETL Generated

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Benefits

Proven and trusted technology used in many hundreds of projects since 2004. One person you can do what 5 Experts can do in the same time.

For decision makers

For developers

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Save Time and Money

  • Achieve results in hours, not days.
  • Realize goals in days, not extensive weeks.
  • Achieve results in hours, not days.
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Easy

  • Ist's made for experts and for non experts.
  • In a couple of days the expert is able to perform a project.
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Reduce Your Risks

  • Finish with the nightmare of never-ending projects and changing requirements.
  • You will have a clear time-horizon over your project upfront.
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Modern standards

  • Have access to state-of-the-art methods and architectures like Data Vault, cloud solutions, near-real- time, etc.
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Work agile

  • Change any time and anywhere the holistic data model, code will be generated instantly
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Compliance & Governance

  • Automated documentation and a powerful Data Lineage brings transparency for all stakeholders
  • Top-Down and Bottom Up modeling
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Stay Independent

  • The result is yours.
  • Feel free to use the generated code for whatever you want, as long as you want. Even your subscription has expired
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Individual adaption

  • Add your own code, do your own design, use powerful macros.
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Security

  • Tested code, GDPR protection, encrypt data, recovery mechanism, etc.
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Reuse previous investment

  • Your previous investment in a data warehouses/storages can be completed and reused.
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Easy handover

  • If the consultant changes to another, everything is documented and clear described.
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Independence from technology

  • Don't care about fast changing technology. 
  • From the AC holistic data model you are able to generate the suitable code for new technology.

Testimonials

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AnalyticsCreator not only frequently achieves first place in the Data Management Survey, but also got a maximum score of 10/10 in six of the KPIs in 2024, which is a remarkable achievement. 89% of the users surveyed reported having no significant problems with the software, which is an unusually high proportion.

Dr-Carsten-Bange

Dr. Carsten Bange

CEO, BARC Research

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AnalyticsCreator significantly accelerated the development of our central data warehouse, bringing us a major step closer to achieving a unified data interface for powerful analytics.

Peter-Mazoll

Peter Mazoll

Head of BI

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I highly recommend AnalyticsCreator for companies seeking to streamline their data warehousing and business intelligence processes. It's a remarkably efficient product that empowers users to industrialize these critical services.

Antoine-Girard

Antoine Girard

Head of Business Intelligence

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AnalyticsCreator empowered us to become data experts, confident in our ability to analyze and utilize our information

Michael Sonnleitner

Michael Sonnleitner

Data Warehouse Manager

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AnalyticsCreator slashed our data warehouse development time by a staggering 80%. This incredible efficiency allows us to focus on more strategic initiatives.

Project Manager

BI Lead

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AnalyticsCreator has revolutionized data warehouse development and maintenance for our team. It's incredibly user-friendly, taking us to a whole new level of ease and efficiency.

Alexander-Schätzle

Alexander Schätzle

IT Director EMEA

Events

Don't miss our events

Implementing ESG Regulations in the Insurance Industry

Implementing ESG Regulations in the Insurance Industry

November 21, 2024 | 09:30 AM

Digitale Souveränität: So Machen Sie Ihr Unternehmen Unabhängig

Digitale Souveränität: So Machen Sie Ihr Unternehmen Unabhängig

January 23, 2025 | 09:30 AM

Blog

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About the AnalyticsCreator blog:

This blog is where you'll find the latest news and information about data warehousing, data modeling, and data analytics. We also share tips and tricks from our experts, as well as case studies from real-world businesses.

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CEO:
“How to create a modern data analytics platform”

Peter Smoly, CEO of Analytics Creator explains how to build a modern data warehouse new and changing requirements from business and IT result in a dificiency of your data architecture.

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Our Partners

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