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E-COMMERCE INDUSTRY

The global e-commerce market is expected to grow by 72% to 4.88 trillion USD until 2021. In order to maximize your share in this growth and keep your competition behind, working effectively with your data is key. This is where Data Virtuality comes in.

With our solutions, you enable effective and trusted decision making by centralizing all your product, customer, and marketing data.

Grow with your data! We are here to help you build an agile and flexible data model which can easily be extended.

OUR E-COMMERCE CUSTOMERS

4 KEY BENEFITS

Profit from the same 4 key benefits as our customers by implementing our solutions.

IMPROVE YOUR BUSINESS LOGIC

GET DEEP DATA INSIGHTS WITHOUT LIMITATIONS

TEST YOUR DATA SETS EASILY

IMPROVE YOUR CROSS-CHANNEL ATTRIBUTION ANALYSIS

IMPROVE YOUR BUSINESS LOGIC BY COMBINING PRODUCT, CUSTOMER, AND MARKETING DATA

  • Centralize data from all of your marketing data sources
  • Get marketing insights on the single product level
  • Automate your affiliate sales comparison by integrating marketing and CRM data
DATA TRANSFORMATION

Prepare and structure your data for easier data analysis.
SQL DATA MODELING LAYER

Use one SQL language to access all your data sources with dynamic query optimization.
COMPLEX REPLICATION TYPES

Incrementally replicate your data with our easy to set-up wizards, additionally supporting CDC.
AUTOMATED TASKS AND SCHEDULES

Create dependent jobs and get notified via email about their results.

REVEAL DEEP DATA INSIGHTS AND ANALYZE DATA WITHOUT LIMITATIONS

  • View infinite dimensions in Google Analytics data
  • Avoid data sampling and get more accurate insights
  • Easily connect every web service you are using with SQL
PROCEDURAL SQL LANGUAGE

Use our integrated procedural SQL feature to dive deeper into your data.
REAL-TIME DATA

Analyze your data as it's happening with data virtualization enabled by our high performance in-memory technology.
HISTORICAL DATA

Get all your historical data out of your target storage and combine it with real-time data in our virtual layer.
NEXT GENERATION ETL

Instead of building cumbersome ETL pipelines with graphical interfaces, simply use SQL to query the data you need on the fly.

EASY DATA SET TESTING WITH RAPID PROTOTYPING USING SQL

  • Access your data without physically moving it by using our unique virtual data layer
  • Manage your data warehouse independently without your IT department
  • Work flexibly with data and make it available to BI tool users quickly
REAL-TIME DATA

Analyze your data as it’s happening with data virtualization. We use result set streaming to take the load off your data sources.
SQL DATA MODELING LAYER

Quickly adapt your SQL queries to build and change your data model.
FUNCTION/OPERATION PUSHDOWN

Optimized analytical queries to leverage the performance of data sources, enabling faster results.
NEXT GENERATION ETL

Instead of building cumbersome ETL pipelines with graphical interfaces, simply use SQL to query the data you need on the fly.

IMPROVE YOUR CROSS-CHANNEL ATTRIBUTION ANALYSIS

  • Improve your cost attribution by centralizing all your platform data
  • Use unlimited dimensions to build refined target audiences
  • Improve your re-targeting efficiency with cleaner acquisition channel data
Learn more about the functionality of our Logical Data Warehouse here.

Carly Kaufman

Manager of Data Sciences, Craftsy

We have been able to cut our development time by 80% which allowed us to spend more time on solving business problems and less time on the actual technical implementation

Tobias Weinmann

Senior Head of Online Marketing, Ab-in-den-Urlaub.de

Data Virtuality is saving us 80% of the time when creating reports. Time we can use analyzing our data to find golden nuggets.

Tobias Helm

Head of BI and Finance, Windeln.de

Being able to work productively right away is a big advantage for us compared to the usual month-long implementation times of traditional data warehouse projects.

Ivo Fritzche

Senior Business Intelligence Manager, Juniqe

Before Data Virtuality we had to go into each of our databases, pull the data and stick it somehow with Excel together. Now we can access data at all times, set up reports in DataVirtuality, schedule data import jobs and make the reports available to everyone.

Christian Gleichmann

Head of eCommerce, babyartikel.de

Using Data Virtuality means that we can make considerably better use of our data systems. The transparency of information is also significantly higher. Decision making is no longer based on intuition, but driven by data and is, therefore, well-founded.

FURTHER RESOURCES

CRAFTSY

Learn how Craftsy’s data management evolved with Data Virtuality. One challenge was to manually integrate 12 databases, an accounting system, warehouse management system, CRM and all social media data. This was a very time consuming process and delivered incomplete data. Using Data Virtuality Craftsy is now able to add new data sources within minutes and quickly respond to changing business needs. Development time was cut down by 80% which allows them to spend more time solving the actual business problems.

Junique

Learn how Data Virtuality enabled Juniqe to easily access all data sources including shop backend, logistics system, databases and cloud services. All connected data sources look like one big SQL database where raw data can be pulled using basic SQL commands. No one needs to manually export data from Google Analytics or Adwords anymore. Data Virtuality delivers live data to everyone in the company who needs real-time information.

Apologistics

Learn how Data Virtuality helped Apologistics to automatically and directly access their data without manual ETL processing. They are now able to access, automate and analyze all their data sources simultaneously by simply using SQL. One big advantage for them is the ability to manage their data warehouse without any assistance of their IT department which increases efficiency and flexibility of the data analysis process.

ePetWorld

Learn what challenged ePetWorld from achieving an agile and efficient Business Intelligence infrastructure before using Data Virtuality and how our solution solved these challenges. See how Data Virtuality improved the data management, data quality and time efficiency for ePetWorld. Our software enabled them to optimize sales and marketing on the single product level.

Windeln.de

In this case study video, our Head of Solutions Engineering explains what challenges one of our first customers, Windeln.de has faced. For example, they had their data in various data sources and storages. With Data Virtuality Windeln.de could make their data more transparent and predictable, which helped them to grow.

Babyartikel.de

This OnePager explains the challenges Babyartikel.de was facing and how they implemented Data Virtuality as a central data warehouse solution in combination with Tableau as a BI tool. Learn how they were able to automate the connection of all data sources, make more efficient use of source systems performance through intelligent pre structuring and directly transfer their data into Tableau.

Albelli

This OnePager explains how our Logical Data Warehouse helped Albelli to remain on of the fastest growing companies in Amsterdam by analyzing real-time and historical data. As a data-driven company, Albelli can now make decisions based on their data even faster than before with a wide ran- ge of insights. The data driven revolution starts in the areas of customer analytics and digital marketing and will continue in other areas as well.

CONNECTORS

Choose from 200+ connectors. We have the databases,
web services and marketing platforms you need.
Centralize all your data sources and connect them to
your BI tools like Tableau, Looker or Excel. Can't find
your connector? Reach out to us through our chat. We
are continuously developing new connectors.

RULE YOUR DATA
Whether you simply want to replicate your data or need real-time data and an SQL data modeling layer, we know the pains. We are here to help.