Zegami Platform Powers The Pittsburgh Pirates’ Draft Day

Zegami announces that the Pittsburgh Pirates has implemented Zegami to enhance their data analysis and decision-making process during draft time. Within Major League Baseball, the annual amateur draft is a key focus, as over 1,200 college athletes are chosen by the 30 MLB teams over three days, with all teams looking to uncover a special athlete who will be a game changer. The Pittsburgh Pirates have invested heavily in player analytics, analyzing data on thousands of players from the college system and around the world to find the best talent available at any point in the draft. Results of this analysis still has to be combined with intangible factors which also need to be considered by the front office team when making a final decision.
A crucial area involves communicating the results of the analysis made by the informatics team to decision makers in the front office. By using Zegami, they are able to present the results in a way that makes it easy for the front office team get to the key pieces of information quickly.

“Zegami provides an incredibly powerful interface which allows us to quickly search, compare, group and interrogate player stats at draft time in a way that was just not possible with Excel or other BI solutions”, says Joshua Smith, data architect for the Pittsburgh Pirates.

“The players within any sporting team are their most valuable commodity. So its crucial at draft time teams are making the right snap decisions with the right data on hand. Zegami changes the way organisations analyse players by putting the player back in the data and truly giving a 360 degree view of a players comparative ability and stats in a way that makes it understandable to everyone in the room,” Sam Conway, CEO of Zegami says.

Zegami is a visual data exploration platform that enables the user to quickly recognize patterns, analyze information and find hidden insights by allowing users to search, sort, filter, group and analyze large collections of images and data in a simple and intuitive way.

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