Enterprises are adopting API strategies to open up access to their back-end systems enabling developers to innovate and build web and mobile apps. Today's economy is exploding with business being done via apps, and as a result more and more transactions flow from end users and developers to enterprises.
Analytics plays a critical role in the success of an enterprise's API program. Using Apigee Analytics, Apigee Enterprise customers and their developers get visibility into their APIs, apps, and developer traffic. In our latest release, you can access a new "Traffic Composition" report right on the Apigee Enterprise User Interface (no setup required!).
Mobile analytics is about understanding your mobile customers. It seems that every day a new analytics vendor releases a “must have” analytics product for your app. Instead of trying or adopting every new product, I recommend mobile app publishers focus on a “mobile analytics maturity model” - a model that promotes building up your analytics capabilities along different axes.
This blog post describes the three levels of analytics in our maturity model, who in the organization needs to be involved, and which analytics vendors can help you get the metrics to enable better decision making for your apps to support your users.
The amount of data collected by companies in all sectors and markets has grown exponentially in the past decade. Businesses increasingly interact with customers through social and business networks, through apps (and APIs) and therefore businesses collecting data from new and diverse locations outside the walls of their enterprises and systems-of-record.
The following is a perspective on 5 ways in which data is changing how we do business...
Thanks to all who participated in last week's Webcast, OData & Impact on API Design. The video and slides for the session are below. Thanks to @gbrail and @jhingran and our moderator @brianpagano. We'd love to continue the discussion on the api-craft forum. (To those who were on the live webcast - our sincere apologies for the audio & technical difficulties.)
In previous posts on this topic of Big Broad Data, we looked at some of the reasons for and implications of enterprises shifting their focus from the “bigness” and technology hype of “Big Data” to breadth and diversity, signal extraction, analytics and deep insights.
The future is around the easy consumption, the flow and interaction of data, which drives a revolution in the world of Data APIs. The structure of the Data APIs becomes increasingly important.
In my previous post about Making the shift from Big to Broad Data, I made the case for thinking about Big Data not so much as “Big” but as “Broad.” We looked at the explosion of new data sources in today’s economy, which are individually typically smaller and more diverse than the enterprise systems of record of the past. Data comes from a variety of sources like Twitter, Facebook, partners, tens and hundreds of apps (some built around your APIs), and more.
To be responsive and make business decisions, an enterprise simply has to be responsive to data...
In my previous post, I laid out why I think we need to move beyond the hype of Big Data technology and “bigness” to focus instead on the breadth and diversity of data, as well as signal extraction, analytics and deep insights from that broad data.
Here we’ll delve into what we mean by "Broad Data" as well as some of the fundamental changes for businesses in today’s marketplace that compel the need to focus on breadth of data and on data stitching from disparate sources.