“support your modern BI investment with fast agile data virtualization”

The need for more data at your fingertips is ever increasing. By making the data more agile and available faster, we ensure modern Business Intelligence (BI) tools, such as Qlik, Tableau, Power BI and Spotfire, can uncover actionable business insights by connecting all your data sources with one powerful platform.

Modern Business Intelligence
One of the biggest challenges is the ever increasing number and variety of data sources, which require federation, cleansing and processing for BI tool consumption. Historically, this has been achieved with the traditional methods of utilizing Data Warehouses, Data Lakes and Data Marts and then physically moving the data into the BI systems.

These approaches are brittle, tedious to maintain, and very costly. Worse, often the data that is being analyzed is stale and of poor quality.

With Enterprise Enabler® you are able connect to all your sources, federate them, apply business rules and present them as one single data source to your existing BI tool, all in real-time. This is done virtually via a logical data model or using data virtualization, allowing the modern BI tool to access the data just like it would a database.

This approach has helped our customers to discover new insights and relationships within their data they had never recognized before, translating into millions of dollars of ROI.

Actionable BI
Now, with these insights, Enterprise Enabler allows you to take real-time action with fully secure bi-directional write-back. These write back tasks can be automated or done manually using Enterprise Enabler’s Process Designer.

A single log on to your BI dashboard now becomes the facilitator of agile business decisions.

Enterprise Enabler® has been featured in Gartner’s latest Market Guide for Data Virtualization.

Do you want to have more information? www.quant-ict.nl, glenda@quant-ict.nl
Ask for :
* Gartner Market Guide for Data Virtualization
* Whitepaper “Creating an Agile Data Integration Platform using Data Virtualization”