Written by Roman Stanek |
"Intuition will tell the thinking mind where to look next.” -- Jonas Salk
When Jonas Salk uttered these words, the United States had just conquered the polio epidemic in 1952. The “Salk” vaccine saved the nation from a deadly illness, and Salk himself attributed that success to his intuition. In other words, his hunch.
But hunches are not enough for today’s business problem solving. Now, we require data that confirms our intuition and builds insight--to the point where we are able to confidently take action upon it. Our customers are all seeking insights to transform their businesses.
My conversations with customers are also shifting from Big Data to the Internet of Things (IoT), and how it will impact our lives. In fact, I believe we are about to face a data storm bigger than “Inflategate.” (I predict that the NFL will add IoT-enabled pressure sensors to game balls before too long.) But seriously, by 2020 IoT will include data from more than 50 billion devices. Each generating an immense amount of usable data. As the age of IoT looms, our challenge is not to pick the right Big Data stack, but to know how to distill IoT data into meaningful, actionable insights like many of our favorite online vendors--the ones that make recommendations about which products to buy together or which movies we might enjoy--and do it quickly.
Businesses that act fast can dominate their markets. For example, AirBnB has grown from 300,000 bookings to over 1 million in less than a year, singlehandedly changing the entire landscape of the hospitality industry. Here in its hometown, Uber has already swelled to three times larger than San Francisco’s taxi industry. These are agile data-driven businesses at the top of their game.
AGILITY in the age of IoT
This raises a very interesting question regarding how we deal with the collision of two incongruous goals-- In this age of IoT, how will we remain agile like AirBnB and follow our data-driven intuition to find new insights? Do we slow down to work with more data, or blindly speed up? How do we know if we are going in the right direction?
The answer is to ask someone who has been there before to illuminate the path to insights. At GoodData, we found this guidance from the millions of user interactions within our platform. The collective intelligence of our customers showed us the way. This itself was a powerful, business changing insight, especially when we realized we can carry forward this collective learning to help new customers move more quickly down the path. That we could move beyond traditional BI practices and show new customers their path to insights… As a Service. We can be agile while compounding the amounts of data we deal with at the same time.
Announcing Insights as a Service
Today, I am proud to announce that GoodData is pioneering a new analytic category that meets the agility and data volume challenges of this new era--Insights as a Service. What does Insights-as-a-Service mean? It means moving beyond traditional BI with an experience powerful, flexible and efficient enough to get you to insights faster than anyone else.
Unlike our competitors, who are still deploying projects in one-off silos and islands, we have the opportunity to develop key learnings from across our aggregate installed base. We know what types of data our customers care about; what challenges they face with that data; how to model and integrate sources together; and where to introduce best practice KPIs and metrics for various industries and projects; and even when to present the ideal visualizations to communicate those stories. Internally, we talk about this as the GoodData Insights Network, and how much stronger and more valuable it becomes with every new member.
We’ve also introduced a series of transformative features in our platform, designed to harness our collective learning through our newly fortified Insights Engine, paving the way for a more intuitive and suggestive experience that actually recommends better ways to explore your own data based upon past usage in histories. We manifest this through our new guided discovery interface, the Analytical Designer, which suggests best practice analysis techniques to open new perspectives on their data. Finally, the Data Explorer allows users to add and augment data, without requiring IT support, speeding their time to next insight.
Guiding the Future of Analytics
GoodData has taken the first step in establishing a scalable model to manage growing data volumes, and to accelerate the speed at which users can reach insights. You can read more about both here.
Written by Roman Stanek |