The evolution of Integration – Unify

Unifying data the key to integration success

End users and businesses today need a modern, curated infrastructure that provides self-service access to critical data without having to build the architecture from the ground up. That is why it is recommended to leave your data in place and add a virtualised, high-speed layer that provides easy data access, organizes it to scale, and prepares it for real-time analytics. Commonly known as data virtualisation.

Data virtualization makes multiple and diverse data sources appear as one, typically for analytic applications.

From an IT standpoint, they can provide more curated data to all the organisation and provide people with instant access to all the data they want, the way they want it, when they want it, so they can do the analysis that improves the business. They can now make distributed data sources like big data, cloud and IoT, easier to access and use, and properly govern data from source to consumer.

Whenever there are new data analytics requirements, the organization can now respond five to ten times faster, combining different sources of data intelligently, than traditional methods; reduce data complexity and save money without the cost and overhead of physical data consolidation.

Why does it make sense to use data virtualisation?

Typically, businesses face challenges like, data being distributed across numerous locations (both within the organization and externally), hence getting at this data is difficult, slow, and costly, a burden on IT and a bottleneck to data analysis.

Therefore, analytic projects fall behind because business users cannot get access to the data they need quickly. IT cannot respond in time to every urgent request, Business users spend most of their time looking for the right data and sometimes go rogue and use inaccurate data, negatively impacting decisions

Providing error-free data to regulatory authorities is time consuming and costly which result in poor decisions due to the lack of up-to-the-minute data.

According to IDC, the 80/20 rule still exists in the amount of time professionals spend searching, preparing and protecting data vs. actually analyzing the data.

There are numerous data virtualisation organisations out there, and our vendor TIBCO is well known in this market.

TIBCO offers Data Virtualisation software that lets companies overcome analytics data bottlenecks with breakthrough speed and cost effectiveness. Companies need a 360-degree views of customers and their business. However, this data is not contained in a single place, but spread across many different internal and external sources. With TIBCO Data Virtualization, IT can hide this complexity and quickly provide the needed data. This simplifies the access for the user and accelerates data analysis.

Gartner and Forrester recommend adding data virtualisation to your data integration tool kit is a way to improve IT responsiveness and reduce cost.

Together, Tech Data and Tibco, we can review your upcoming analytics projects and see where data virtualisation might be a better option.

Adam Barbera
Vendor Alliances Manager | Data Solutions & IoT | Tech Data Europe