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MLB #DataLake… Play Ball! | @CloudExpo #BigData #IoT #ML #Analytics

The data lake is a great repository for capturing all of the organization’s critical data

DELL EMC’s Isilon division has been working with Major League Baseball Advanced Media (MLBAM) to create a data lake that provides a seamless process to add and maintain massive amounts of video data to serve their baseball fanatics (like me). Here is a cool 2-minute video that shows how they did it.  The company operates the official web site for the league and the thirty Major League Baseball club web sites via MLB.com, which draws four million hits per day. It also provides the backend-streaming infrastructure for WWE Network, HBO NOW, NHL etc.

The data lake is a great repository for capturing all of the organization’s critical data.  For organizations trying to make the shift from treating data as a cost to be minimized to treating data as an asset to be exploited, the data lake is the perfect “collaborative value creation” platform that enables organizations to share valuable organizational data across multiple business use cases (see Figure 1).

Figure 1: Data Lake as Collaborative Value Creation Platform

But in order to derive and deliver value out of your data; that is, in order to monetize your organization’s data, the data lake must become more than just a data repository.  It needs the services and capabilities that allow organizations to capture, manage, enrich and share the data as seamlessly as possible.  Services like ingest management, indexing, cataloging, data governance, metadata management, security, privacy, lineage, traceability and others become critical to managing and sharing these new source of corporate intellectual capital (see Figure 2).

Figure 2: Big Data Analytics Reference Architecture

However, in the end, it is what you do with that data – how you are leveraging the data to optimize key business processes, uncover new monetization opportunities and drive a more compelling customer engagement – that really provides business or economic value to the organization.

Envisioning What MLB Could Do with the Customer Data
The key question that the MLBAM needs to be asking itself is how do they leverage the data lake to learn more about their customers, products (videos) and markets to optimize key business processes, create new monetization opportunities and create a more compelling customer engagement.

From a process optimization perspective, the customer viewing data in the data lake can uncover insights about your customers such as their tendencies, propensities, inclinations, trends, interests, passions, associations and affiliations.  With these customer usage insights, the MLB can now:

  • Optimize marketing campaigns by knowing what campaigns should be targeted at what types of customers and prospects
  • Improve customer acquisition by understanding the behaviors and tendencies of your customer in order to fine tune customer acquisition efforts
  • Improve customer retention by flagging changes earlier in the customer’s viewing behaviors that might be indicative of churn
  • Drive cross-sell and up-sell efforts by understanding what teams and types of games to promote to which customers
  • Promote customer advocacy by identifying and incenting your most loyal customers to promote your services across the different social media channels
  • Drive a more differentiated customer engagement by making it seamless for your customers to find the services, products and games that most interest them

The customers’ viewing patterns can also be exploited to create new monetization opportunities such as:

  • New services
  • New products
  • New channels
  • New platforms
  • New audiences
  • New markets
  • New partnerships

Driving a More Engaging Customer Experience
In the end, it’s really all about the customer and uncovering insights about their interests, passions, associations and affiliations in order to offer the right services at the right time at the right prices. The data lake provides MLBAM a seamless process to add and maintain massive amounts of video data, gain insights about their customers’ viewing patterns in order to more effectively serve their customers.

Oh, and by the way…

Go Cubbies!

The post MLB Data Lake…Play Ball! appeared first on InFocus.

More Stories By William Schmarzo

Bill Schmarzo, author of “Big Data: Understanding How Data Powers Big Business” and “Big Data MBA: Driving Business Strategies with Data Science”, is responsible for setting strategy and defining the Big Data service offerings for Hitachi Vantara as CTO, IoT and Analytics.

Previously, as a CTO within Dell EMC’s 2,000+ person consulting organization, he works with organizations to identify where and how to start their big data journeys. He’s written white papers, is an avid blogger and is a frequent speaker on the use of Big Data and data science to power an organization’s key business initiatives. He is a University of San Francisco School of Management (SOM) Executive Fellow where he teaches the “Big Data MBA” course. Bill also just completed a research paper on “Determining The Economic Value of Data”. Onalytica recently ranked Bill as #4 Big Data Influencer worldwide.

Bill has over three decades of experience in data warehousing, BI and analytics. Bill authored the Vision Workshop methodology that links an organization’s strategic business initiatives with their supporting data and analytic requirements. Bill serves on the City of San Jose’s Technology Innovation Board, and on the faculties of The Data Warehouse Institute and Strata.

Previously, Bill was vice president of Analytics at Yahoo where he was responsible for the development of Yahoo’s Advertiser and Website analytics products, including the delivery of “actionable insights” through a holistic user experience. Before that, Bill oversaw the Analytic Applications business unit at Business Objects, including the development, marketing and sales of their industry-defining analytic applications.

Bill holds a Masters Business Administration from University of Iowa and a Bachelor of Science degree in Mathematics, Computer Science and Business Administration from Coe College.

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