In a startling finding, it was found that 90% of world’s data had been generated in the last few of years. Enterprises across the globe are submerged in pools of data from head to toe. All this data is sitting there waiting to be merged and utilised. In fact, the IDC predicts the number to double up in the next couple of years. We are talking about gigantic volumes of data that was deemed impossible a few decades back.

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More Data Equals More Challenges

Deriving concrete meaning from this huge volume of data stored across plethora of formats and platforms is a huge challenge ahead of the enterprises. Most of this data is unstructured and challenging to consolidate into consumable or apprehensible format. In times when businesses are falling short of adequate human resources and time whilst the pace of business is moving at rocket speed, the need for immediate and on-demand intelligent insights has become mandatory. This is the reason archaic methods of data management are seeing a great decline. This includes extracting, loading and transforming data from multiple sources into a unified database, which is a lot tedious and time-consuming. Today, critical business data ought to be analysed and studied in real-time.

Also on Sage Software blog: How AI is helping enterprises to consume unstructured data

Fortunately, businesses today have access to advanced tools to aid decision-makers. Data scientists and architectures are turning out to be more nimble when it comes to deriving real-time insights with the help of cloud and mobile analytics. On the other hand, data integration brings in information which when combined with real-time and intelligent analytics can deliver excellent insights into key business processes. Businesses today enjoy a bird’s eye view of customer interests/expectations, buying habits, emerging opportunities, threats, etc.

Here’s how customer intelligence is helping businesses win and retain more customers.

Data Virtualisation to Be the New Normal

Clearly, one of the most enthralling revolutions in the data integration landscape in recent years is that of data virtualisation. As the name suggests, data visualisation is all about integrating the data virtually thus, shunning the need of moving data physically that includes whole loads of risks. In technical terms, data virtualisation offers virtual means to merge unstructured data from various sources irrespective of the data location or format. Eureka! Data integration with data virtualisation is devoid of all the complexities that come with loading, transforming and extracting data the traditional way.

Data virtualisation offers compatible APIs for the developers of today thereby, eradicating the need of having mainframe experience enabling them to access and utilise data easily. Now for businesses that depend heavily on mainframe enterprise technology systems, this means improved developer efficiency and quick delivery of business solutions.

Good news is that data virtualisation is witnessing a steep rise in its adoption and it is estimated that more than 30% of businesses will embrace some or the other form of data virtualisation technique for data integration by 2020.

What the future beholds?

Stats and trends have repeatedly proved that data virtualisation is coming to enterprises to solve the problems of data explosion. By providing businesses with the ability to merge data from a number of disparate sources into a unified format, data virtualisation not only would address the painpoints of data volume and compatibility, but will also eradicate problems pertaining to specific programming languages. Moreover, it does it all in real-time. There is enormous amount of data to be handled with old-school data integration tools and techniques. Data virtualisation equips business owners to meet the fast-paced requisites of digital age where businesses demand instant answers.

To know what it takes to be BFF with data virtualisation, contact us. You can also SMS SAGE to 56767 or drop us a mail at sales@sagesoftware.co.in for a free consultation.

Disclaimer : All the information, views and opinions expressed in this blog are those of the authors and their respective web sources and in no way reflect the principles, views or objectives of Sage Software Solutions (P) Ltd.