With all the emphasis these days that’s placed on combing through the piles of potentially invaluable data that resides within an enterprise, it’s possible for a business to lose sight of the need to turn the discoveries generated by data analysis into valuable actions. Sure, insights and observations that arise from data analysis are interesting and compelling, but they really aren’t worth much unless they can be converted into some kind of business value, whether it’s, say, fine tuning the experience of customers who are considering abandoning your product or service, or modeling an abuse detection system to block traffic from malicious users.
A recent update to our API Platform includes a new set of dashboards to help customers manage and optimize their API programs. The dashboards were rewritten from the ground up and provide increased speed, more actionable data, and deeper insights into API programs.
The topic for today is the art of knowing the known unknowns - applied to enterprise analytics, not war! After all, we are here to create value, not destroy it. Quite simply, known unknowns are enterprise metrics that we know are important, but we just do not know what their value is at any given moment in time. In other words, Key Performance Indicators (KPIs)!
With shrinking budgets, changing consumer expectations in a hyper-connected age, as well as constant pressure to extract maximum business value from big data and deliver strong return on investments, the Central Marketing Officer (CMO) is fast becoming the catalyst to help the enterprise’s data science evolve to be business science.
Data science in isolation, without business value in sight, can reveal very interesting patterns, trends and observations. However, the best data science is purposeless unless the data science and the data scientist can recommend actions for the business owner with the express purpose of creating value . . .
Today we released a scheduled update for Apigee Enterprise, the digital business platform used by enterprises like Walgreens, eBay, and AT&T that can be used for free at apigee.com.
Some of the key new features and improvements included in this update are zero downtime API Proxy deployment, new dashboards for Analytics Services, daily email reports for analytics, filters for content in custom reports, as well as traffic, error, and performance metrics for each URI path in Analytics Services reports.
Portability, usability, and quality converge to define how well the processing power of the Big Data platform can be harnessed.
When talking about Big Data, most people talk about numbers: speed of processing and how many terabytes and petabytes the platform can handle. But deriving deep insights with the potential to change business growth trajectories relies not just on quantities, processing power and speed, but also three key ilities: portability, usability and quality of the data.
There has been a 400% increase in Store Locator API use in 2013. We used Apigee Insights to collect and process API traffic data, examine API traffic patterns, and generate trends and industry-wide insights for all Store Locator traffic that we see and found that store locators are one of the most commonly used APIs in modern apps. So what does a business with a store locator app do with this information? They know that it’s largely the speed of responding to customer requests that attracts customers and builds loyalty, so a forward-thinking business asks - How responsive is my app?