Baseball, the cloud, and big data

As the release of the upcoming movie Moneyball approaches, it’s inevitable that we’ll be hearing much more about baseball’s sabermetrics. ReadWriteWeb is out front of the topic with a nice article today on How Big Data and the iPad have Fundamentally Changed Baseball.

This article ties together three of my favorite topics – big data analytics, cloud computing infrastructure and baseball. Take a look at the iPad dashboard at right and think about a starting pitcher and catcher sitting together on a flight using this kind of highly-visual tool to decide how to pitch each hitter. Now think about the rudimentary paper-based systems from five or ten years ago. Which pitcher has the edge? I’m sure that comparable data exists for batters on pitcher’s tendencies and release points, but it does appear that the overwhelming advantage of this technology favors the pitcher/catcher game plan.

But do the results back up the theory?… Read the rest

Reason 4: Messaging appliances rack up assists like Wayne Gretzky

This is part 4 in a 10 part series: 10 reasons for the growth in middleware appliances. The series summarizes what we’ve learned from our clients about what they value in appliances and why they selected Solace.

When it comes to offensive prowess in sports, Wayne Gretzky is the gold standard. From his earliest years he was a scoring machine, famously scoring 378 goals in a season at the age of 10. But as his game matured he became a playmaker who aimed to optimize his team’s scoring and success. Of the records Gretzky holds, his career assists total is the most astonishing—he has 57% more assists than any other player in NHL history.

If a messaging appliance was a hockey player on an enterprise IT team, it would be the playmaker. Messaging is the key technology in some applications, but its role is usually to help other applications and functions score their own goals.… Read the rest

Spotlight on Risk Management

There is a good story Advanced Trading this week about the challenges of applying yesterday’s risk management solutions to today’s market requirements. The whole article is a good read, but you can cut to the chase and just read the summary:

There are three specific data pitfalls that can obscure risk analysis at the portfolio manager and risk officer levels, according to Adam Sussman, director of research at TABB Group:

1. Out-of-Sync. The frequency of the risk data updates lags behind the fast- moving markets. Similarly, the time horizon of the analysis can be misaligned with the investment objective of the portfolio.

2. Opacity: Unfamiliarity with the model behind the analytics puts people at greater risk of making bad decisions.

3. Rigidity: By looking at the same data in the same way, funds are more likely to be negatively impacted by one another. Similarly, approaching risk from a too narrow or rigid viewpoint can obscure vital changes to the risk of a portfolio.

Read the rest