To stay competitive, it is important to deliver innovation and increasing value to your customers. According to a study conducted on the trends on big data analytics by IBM.

1. Leveraging ISV Big Data for a Competitive Advantage
To stay competitive, it is important to deliver innovation and increasing value to your customers.
According to a study conducted on the trends on big data analytics by IBM, it is estimated that
organizations will continue to become more and more data driven and will be willing to apply analytic-
derived insights to the main business operations. As data volume, velocity, variability and variety
increase, so do the stresses on today’s software infrastructures when they can no longer make sense of
data inundation. Big Data analytics platforms purpose-built for Big Data analytics and reporting can
deliver answers to critical questions up to 100 times faster than traditional databases, regardless of the
complexity of the queries or the number of users.
Not many organizations are able to tap the benefits of this Big Data as the current enterprise solutions
are unable to handle the incremental volume of these data sets. Many of these organizations lack the
required speed and performance that is required to deal with the data.
However, with the amount of digital information predicted to increase to 35 trillion gigabytes over the
next decade, collaboration with the right partners can help enterprises to realize their vision for Big Data
and the cloud. Empowering decision making with the right service provider across the enterprise and
enhances the speed of business.
Need for an ISV big data solution
Companies now face the challenge of processing these large amounts of unstructured data quickly
enough to make it useful and relevant to their business. Independent software vendors (ISVs) are in a
race to increase product capabilities, attain new customers, and grow sales in existing customers. It thus
becomes important to integrate with a number of hardware, middleware, and applications. Innovative
ISVs realize they cannot win by going it alone. A complementary data integration solution can be greatly
beneficial when an ISV’s product offering needs to integrate data from multiple heterogeneous sources.
The Big Data toolsets used by ISVs and software-enabled businesses (SEBs) differ from those more
frequently used by enterprises. Most enterprise Big Data systems focus on data consistency and data
cleansing, where as ISVs and SEBs are more tolerant of inconsistencies. Additionally, all enterprise Big
Data systems also tend to lay a firm emphasis on licensed software and hardware-based solutions rather
than open source and the public cloud. Enterprise database companies are making aggressive strides to
extend their reach to manage tens of terabytes of data, approaching Big Data scale.
Leveraging ISV big data solution ensures scalability and optimization and helps take actual advantage of
the real power of Big Data.
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