A key role of IT operations is to keep a complex portfolio of applications running and performing. "Traditional monitoring dashboards generate lots of pretty charts and graphs but don't really tell IT operations professionals a whole lot," says Forrester Principal Analyst Glenn O'Donnell. Big data analytics will change that because sophisticated algorithms can "look for the little tremors that tell us something big is about to happen."
High Availability And Performance Are Top Goals For IT Ops
Asked what 5 nines (99.999%) of availability means, Glenn replies immediately, "5 nines of availability is 26 seconds of downtime per month." He adds "If you want to capture just one 26 second event, you have to be polling every 13 seconds." Glenn knows his stuff. Listen to find out from Glenn how big data has a big place in the future of IT operations.
There was lots of feedback on the last blog (“Risk Data, Risky Business?”) that clearly indicates the divide between definitions in trust and quality. It is a great jumping off point for the next hot topic, data governance for big data.
The comment I hear most from clients, particularly when discussing big data, is, “Data governance inhibits agility.” Why be hindered by committees and bureaucracy when you want freedom to experiment and discover?
Current thinking: Data governance is freedom from risk.The stakes are high when it comes to data-intensive projects, and having the right alignment between IT and the business is crucial. Data governance has been the gold standard to establish the right roles, responsibilities, processes, and procedures to deliver trusted secure data. Success has been achieved through legislative means by enacting policies and procedures that reduce risk to the business from bad data and bad data management project implementation. Data governance was meant to keep bad things from happening.
Today’s data governance approach is important and certainly has a place in the new world of big data. When data enters the inner sanctum of an organization, management needs to be rigorous.
Yet, the challenge is that legislative data governance by nature is focused on risk avoidance. Often this model is still IT led. This holds progress back as the business may be at the table, but it isn’t bought in. This is evidenced by committee and project management style data governance programs focused on ownership, scope, and timelines. All this management and process takes time and stifles experimentation and growth.
Every year the Center For Digital Strategies at Tuck chooses a technology topic to "provide MBA candidates and the Tuck and Darthmouth communities with insights into how changes in technology affect individuals, impact enterprises and reshape industries." This academic year the topic is "Big Data: The Information Explosion That Will Reshape Our World". I had the honor and privilege to kick off the series about big data at the Tuck School of Business at Dartmouth. I am thrilled that our future business leaders are considering how big data can help companies, communities, and government make smarter decisions and provide better customer experiences. The combination of big data and predictive analytics is already changing the world. Below is the edited video of my talk on big data predictive analytics at Tuck in Hanover, NH.