Increasingly, businesses connect with their customers through applications. And a rising power in this application economy is the API management firm that makes it easier to connect outside users to a business' internal systems.
Apigee has launched a new big data analytics platform that extends the company’s mission beyond API management and into a new space that uses apps and data from APIs and other sources to gain context and insight.
Businesses have increasingly turned to mobile and Web apps as a source of revenue and customer feedback. That’s good for the developers and software engineers actually building the apps, not to mention the app-store vendors who take their cut of any revenue. However, apps and associated APIs also generate an enormous amount of data well outside the businesses’ borders—data that can provide considerable insight into customer sentiment, revenue trends, and other vital areas.
Anant Jhingran made a splash a couple of years ago as "the brains behind" the Watson computer while he was a chief technology officer at IBM's Silicon Valley Laboratory in San Jose. Now he is focused on applying Big Data analytics to apps as product chief at Palo Alto-based Apigee Corp.
Organizations of all sizes are starting to appreciate that there is a wealth of information starting to flow in and out of their companies via the APIs they decided to expose to third-parties. Now those organizations can start figuring out how to derive some value out of all that data.
Palo Alto-based Apigee, the company responsible for handling API technology for some of the biggest players in the private sector including Walgreens, Bechtel, eBay, Pearson, and Gilt Groupe has launched a new twist on big data – Apigee Insights, a big data analytics platform that lets organizations gain new business insights using “broad” data generated in the app economy. CivSource spoke with Chet Kapoor, Apigee CEO and Anant Jhingran, Apigee vice president of products about the launch.
One of the least satisfying aspects of most discussions of big data is a lack of attention to patterns of value creation. Most of the time, we are presented with scenarios in which data is poured into Hadoop or sifted with Splunk and somehow you get insights.
With mobile devices getting increasingly powerful with each release, online business transactions are growing exponentially, as ease of use encourages for more interaction with service providers. However, the new trend rips the control of transaction data from service providers’ hands, denying them the ability to make accurate business decisions based on data analysis.
Complicated processes for sharing videos, photographs, memes, and other media are no laughing matter. Popular humor site Cheezburger.com was concerned that its "humor partners" were finding the company's procedures onerous, especially as the mix of 24 million site visitors used an increasingly diverse array of devices to connect with its content.
