Multivariata

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Unlock the potential
of your data with

MULTIVARIATA

Multivariata is your reliable partner in the world of data analysis and engineering.

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Learn how to

Increase Revenue

Enhance revenue and drive growth through data-driven insights and strategic decision-making.

Reduce
Costs

Identify inefficiencies through data analytics and achieve substantial cost savings and overall efficiency.

Monitor business

Gain real-time insights and make data-driven decisions to align your strategy with business goals.

What we offer

Strategic Consulting

Develop a robust strategy for data collection, processing, and analysis to achieve specific business goals. We focus on transforming raw data into actionable insights for better decision-making.

Data architecture and design

Create optimal structures for managing data, tailored to an organization's needs. This includes ensuring efficient data storage, processing, and integration with existing technologies.

Development and implementation of data processing solutions

Build and deploy software systems for effective data management. It includes tools for data collection, cleaning, integration, and advanced analytics, ensuring seamless data flow and actionable insights.

Data modeling and analysis

Build mathematical models to identify patterns and trends in data. We help businesses discover opportunities for optimization and make informed decisions based on data-driven insights.

Our achievements in numbers

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Who we are

MULTIVARIATA GmbH is a Data Consulting Agency based in Vienna, Austria.

 

Our mission is to provide high-quality data analytics consulting services for our B2B customers that help them make informed decisions and achieve their strategic goals.

 

Our vision is for every customer who works with us to experience an impact on their enterprise, creating meaningful value and accelerating their journey to success in the age of digital transformation.

 

We aim to be a trusted partner for businesses in all industries, helping them grow, innovate and manage data-driven efficiency.

Project Portfolio

Industry: E-Commerce

End-to-End Project:

CRM / Marketing Analytics for Enhanced Customer Insights in Azure / PBI

The company aimed to improve its understanding of customer behaviour and engagement, optimize marketing campaigns, and enhance revenue growth by implementing a comprehensive analytics solution on PowerBI / Azure technologies. The project focused on analysing customer data, activation, campaigns, Google Analytics, revenue, clicks, and other relevant metrics.

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Industry: Logistics

Interim Chief Product Owner:

Data analytics & reporting platform in Azure / Databricks / Power BI

The Business Intelligence department is migrating its stack to new technology – Azure with Databricks and needs to configure and further develop the cloud infrastructure to serve business needs as well as migrate the old DWH to the new environment (snowflake).

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Industry: Finance

Data Strategy / Architecture:

Setup of a data analytics & reporting platform in Azure / Power BI

The company wanted to transfer the existing reports, which originated from several Excel lists, into a modern reporting system to reduce the susceptibility to errors and to automate the report creation process.

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Industry: Public Sector

End-to-End Project:

Setup Enterprise Reporting in Power BI

Previously reporting has not been standardized in this organization which means that there is no “common truth” when it comes to numbers. Several reporting tools have been used across departments and some of them are out-of-date and at the end of product lifecycle. Our target was to standardize the enterprise reporting and bring it to the next level.

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Industry: Telecommunications

Data Analytics:

Development of the Customer Satisfaction Index

This telecommunications company has determined that they want to become the market leader in terms of satisfied customers. But to accomplish this, KPIs must be defined so that it is possible to monitor and measure progress.

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Industry: Telecommunications

Data Analytics:

Customer Churn Prediction Model

Retaining the existing customers is a very important task for companies, since acquiring new customers would cost more. This company had already an existing churn prediction model in SAS, but it was not performing well. They also wanted to migrate the model away from commercial software and use R instead.

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Industry: Public Sector

End-to-end Project:

Designing and Setup of an analytical DWH

Constantly adding new data sources to a cloud reporting solution made the reporting system data loading processes slower and harder to manage. In order to increase the performance and secure the quality of the internal reporting, a new analytical DWH needed to be set up.

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Industry: Finance

Data Architecture:

Designing and Setup of an Enterprise Data Lake & analytical DWH

As part of the Enterprise Architecture Transformation project – creating an analytical data platform to run analysis of customer service availability, quality of service, customer satisfaction etc.
Designing the Enterprise Data Lake & Analytical DWH, analysis of the IT landscape, designing data flows and ETL processes for data load into the Data Lake.

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together

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