Big Data. Big Decisions
InformationWeek
Special Coverage Series


San Francisco Giants' Bill Schlough: InformationWeek IT Chief Of The Year



(Page 3 of 5)

» Big data: Baseball, more than any other sport, is a game of statistics, one put on steroids (sorry, Melky) by the wide embrace of "sabermetrics" of Moneyball fame. While teams evaluate factors such as player performance and optimal positioning on the field by analyzing thousands of slivers of data, MLB Advanced Media (BAM) is beginning to let a handful of teams -- the Giants among them -- take the concept further with Sportvision's Fieldf/x, a video system that helps teams analyze player reaction times, or what Evans calls biomechanics.

"You're going to be able to get an amazing matrix on speed and response time," says app dev director Quill, adding that Fieldf/x "will revolutionize how defense is analyzed," like how fast an outfielder comes in for a ball, moves laterally or reacts to line drives. "In some cases, it's just making the data more accurate, and in other cases it's giving us information that just didn't exist before."

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

While BAM CEO Bob Bowman is careful to note that MLB plays no team favorites, he says Schlough and his organization have two essential qualities when it comes to digital media: ideas and execution. "They always say yes," he says.

Fieldf/x generates a million records per game. Schlough does the math for me: 30 frames per second, tracking nine defensive players, the home plate umpire, a batter and the ball, multiplied by the amount of time a game takes (about 30 minutes of action). Quill says that when teams accumulate three years' worth of data -- enough to give them a high level of confidence in that data -- we'll be talking about 5 billion records. As Quill and Schlough like to point out, 5 billion records is on par with the amount of data a typical bank deals with. Indeed, when we met last month Schlough was due to meet with the head of a large bank's data analytics operations, at the bank's request.

Mix into that data pool the stats every team tracks, as well as the information teams are starting to collect about fans, including social media activity and ticket purchasing/sales patterns, and we're talking about a big data (and storage) problem. It's the IT organization's biggest challenge right now, Quill says.

MLB's Bowman adds that the league's big data, which his organization centralizes and manages, requires teams to be "ready to move not within hours, but maybe within minutes and preferably in seconds."

» Scouting: Quill has been in every Giants draft room since 1999. "My systems have been used in the draft room," he says, "and that draft room created Buster Posey, it created [Madison] Bumgarner, created [Matt] Cain 10 years ago. All of those were related to how we scouted and how the organization figured out how to pick those players, and we assisted in that process."

Quill has worked with Evans and the rest of the baseball operations staff to incorporate various systems, including Fieldf/x and Sportvision's Pitchf/x, into the Giants' scouting process. Beyond picking players, the IT organization's data and video analyses extend to advanced scouting, like figuring out how to pitch the Tigers and who to trade for.

» High-definition video: It's hard to say whether AT&T Park was the first to go 100% HD. The Giants were the third MLB team to introduce an HD video scoreboard, Schlough says, after the Braves and the Marlins. But replacing all of the stadium's TVs with HD sets transformed the fan experience, he says. "It's that simple to me," he says. "Change out the TVs and the park feels new."

MLB's Bowman also talks about another aspect of video: delivering live video captured in the ballpark, which the Giants have been doing for years. Bowman's goal is to capture video, edit it and deliver it to the 2 million MLB.com subscribers within 20 seconds. The league can embed an ad, deliver the video to mobile devices and, of course, generate revenue. And Schlough's AT&T Park infrastructure makes such delivery, even live look-ins to other games, possible.

After the Giants swept the Tigers in the World Series, Schlough's team produced a 360-degree interactive video of the victory parade. With only two days to get the video done, it mounted three cameras: one on the windshield of Sandoval's vehicle, one on a golf cart and one on the front of the podium at the City Hall stage. The final product, which you can view here, is stunning.

Schlough's IT team celebrates the Giants' World Series win
Schlough's IT team celebrates the Giants' World Series win

« Previous Page | 12 3 | 45  | Next Page »


Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.