Edge Analytics And Its Importance


Bangalore: Business intelligence (BI) and analytics continues to be a top CIO investment priority, and yet user surveys by Gartner show that only 30 percent of potential users in an organization adopt CIO-sponsored analytics tools. This appears to be changing as organizations invest in making analytics "invisible," and more consumable and accessible, to the nontraditional analytics user.

Staying on with analytics and intelligence, Vishal Batra, lead researcher, edge analytics, IBM Research – India, in an interview with SiliconIndia, shared some of his views on analytics and IBM’s latest application, Edge Analytics.

Batra explained about the needs and development about this technology.

“Edge Analytics is conceived and developed fully by IBM Research Lab, India. The main motivation to conceive and develop Edge Analytics is driven from customer requirements in India and other growth markets, though it has application and use in developed markets also,” said Batra.

When asked about the idea behind developing this technology, this is what he had to say:

“Edge Analytics is a new methodology in applying Analytics. Traditional methods require complex back end integration with legacy systems and/or 3rd party applications or a Data Warehouse, which is often not possible or available in the enterprise production environment,” said Batra.

“For instance, many enterprises in growth markets do not have a Data Warehouse and they have multiple 3rd party applications for different customer channels and functions, all of this makes Analytics very expensive, time consuming and complex for an enterprise to provide uniform customer experience across channels and functions. Edge Analytics is designed to solve these challenges to apply Analytics on the edge of customer interaction without depending on a DWH or integration with multiple 3rd party applications. The solution works seamlessly and non-intrusively. Edge Analytics smartly analyses customer and transactional data on the customer interaction channels, such as Net Banking, ATM, eCommerce Portal, Mobile Applications to spot, identify and deliver personalized offers and recommendations using Deterministic and Predictive methods,” he added.

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