This document discusses using real-time analytics to address big data challenges and make timely decisions. It describes a case study of MGM Resorts implementing Spotfire analytics to gain insights from massive customer and operational data in real time. Key goals were empowering managers to make informed decisions and improving forecasting. The solution analyzed metrics like employee productivity and optimized processes like supply chain management. It provided a significant competitive advantage over outdated reporting.

1. Analytics for Real-time Decision Making:
Combatting the Big Data Dilemma
BECKY WANTA
SVP/Global Chief Technology & Innovation Officer
&
MICHAEL O’CONNELL, PhD
Senior Director, Analytics
October 23, 2012

2. • Big Data Analytics
• Trumping the Big Data Challenge with Real-time
Analytics
• Case Study – MGM Resorts International
• Background & Project Goals
• Analytics and Key Performance Metrics
• Spotfire Solution – Accelerant to Market
• Analytics Review
• Spotfire Solution Overview
• Key Learnings
• Wrap-up
• Questions
• Contact Information
Outline

3. “Big Data” Multi-Source Business Realities

4. “Big Data” Multi-Source Business Realities

5. Integrated products/functionality
in an enterprise platform
for event-driven apps
“Big Data” Multi-Source Business Realities

6. Automation Cloud
Event
Processing
Analytics Social
• Messaging
• SOA
• BPM
• MDM
• Events/CEP
• Rules
• In-memory
• Visual Analysis
• Data Discovery
• Statistics
• Private/hybrid
Cloud Platform
• Apps
• Deployment
Option
• Enterprise
Social Media
• Collaboration
Key Components of 21st Century Platform

7. Dimension-Free
Data Exploration
Data Mashup
Predictive &
Event Driven
Contextual
Collaboration
Enterprise-
Class
• Visual
• Interactive
• No Constraints
• Combine Data Sources
• No Scripting
• IT-Free
• Data at Rest &
Data In Motion
• Open Source &
3rd Party
• “Two Second
Advantage”
• Bookmarks
• Guided Apps
• Portals & Social Platforms
• Unmatched
Performance
• Massive
Scalability
• 24x7
Expertise
Spotfire Analytics Areas of Focus

8. Telco, Media, Networks
• Customer life-cycle management: social churn
• Mobile marketing & advertising
• Fraud detection
Finance / Insurance
• Business and Customer insight
• Risk Management & Trading Analytics
• Fraud and Compliance
Consumer Goods, Retail and Gaming
• Business Insight: brand/share analysis & forecasting
• Customer Insight: Retailer / Store Analytics, Segmentation
• Execution – Promotion Effectiveness
Predictive AnalyticsData
“Big Data” Challenge and Real Time Analytics
Energy
• Exploration, drilling analytics; asset recovery
prediction
• Trading and financial analytics
• Portfolio optimization
Attributes
[Customer]
Context /
Facts
Behavior
[Real-time]
Analytic Solutions
Life Sciences
• Research chemistry, biology
• Clinical development
• Post-marketing / Healthcare

9. 1001001010010010101001010101010101010101001010010010101010100101010010101001010100100101100100100110010100101010101010101010110010101010101010101010010101010010
MACHINE DATA
TIBCO ENTERPRISE SERVICE BUS AND IN MEMORY DATA GRID
REAL TIME APPLICATION EVENTS AND
DATA
UNDERSTAND
EVENT
SERVER
HISTORICAL
DATA
ANTICIPATE
RULES /
MODELS
RESULTS
Continuous Improvement
VISUALIZE
SPOTFIRE DASHBOARDS
101001010101010101010101010100101010101010101010110000
10101010
LOG FILE MANAGEMENT 11010101010101010101001010101010101010101100001010101HADOOP / ASTER
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0
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1
0
1
0
1
0
0
1
SPOTFIRE
ANALYTICS
1
0
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0
0
1
0
1
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0
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RESULTS
STATS
SERVER
ACT

10. Case Study: MGM Resorts International
• 7 Industries in 1:
– Retail - Consumer Packaged Goods - Integrated Financial Services
– Hospitality - Entertainment
– Gaming - Convention
• 22+ Brands:
– Bellagio - MGM Grand Las Vegas - MGM Grand Detroit
– Mirage - Aria - Vdara
– Mandalay Bay - New York/New York - Monte Carlo
– Beau Rivage Biloxi - Luxor - Excalibur
– Circus Circus Las Vegas - Circus Circus Reno - Slots of Fun
– Gold Strike Tunica - Gold Strike Jean - Railroad Pass
– TheHotel at Mandalay Bay - MGM Signature - MGM Grand Ho Tram*
– MGM Grand Macau - MGM Grand Sanya - MGM Springfield*
• Corporate Direction – Property Autonomy Balanced with Corporate
• 38MM Visitors to Las Vegas Annually**
• Customers 28MM – 1.3 visits per year
• MGMRI’s “WHY” is the “WOW!” *Ho Tran – 1Q13; Springfield and expected international expansion to 40 countries
**Source: LVCA Bureau

11. Problem Being Solved
• Inflexible hosted solution
• Data insight was 90-days old and “after the fact” preventing
front-line managers from identifying insights and making
informed operational decisions across their properties in the
moment

12. Project Goals
• Implement a robust real time analytics and dash-boarding
platform to enable:
– Front line managers to make informed real time decisions “in the
moment” – “2-Second Advantage”
– Drive cost, service and productivity efficiencies across the enterprise
– Improve forecasting from real time analytics, trending, and pattern
matching to meet business revenue goals and objectives

13. Analytics & Key Performance Metrics
• Throughput analyses and management of wait staff drink/food serving (e.g.,
drink order to customer)
• Employee efficiency and productivity - Optimized time serving customers
• Overtime load balancing
• Optimization of catering supplies across all properties
• Improved Forecasting and Predicting of load for big events
• Optimization of central supply and supply chain management across
properties and enterprise
• Policy Compliance (e.g., Tips)
• Audit trail
• Product mix analyses (e.g., Match purchase requisitions to purchased menu
items)

14. Spotfire Solution – Accelerant to Market
• Drive the business real-time – “Two-second advantage!”
• Real-time decisioning in the moment versus “after-the-fact, point-in-time”
dated dashboards and reporting
• Increased productivity by empowered users dynamically analyzing and
determining the information to be measured real time as well as “what if”
scenarios and modeling
• Agile, self-service, analytical, architecturally robust enterprise platform
that is fully extensible, flexible, and dynamically evolving with business
needs lessening reliance on IT
• Prototype-to-production 2 weeks => 45 days - Solving problems real-time
• Significant cost-take out with new platform solution

15. Avero - Screen Shots

16. Avero - Screen Shots

17. Avero - Screen Shots

18. Spotfire – Revenue Summary Analysis

19. Spotfire –Year-Over-Year Revenue Analysis

20. Spotfire - Table Revenues Analysis

21. Spotfire - Labor Productivity by Restaurant

22. Spotfire - Employee Productivity Analysis

23. Spotfire Center of Excellence

24. Spotfire Platform Overview

25. Spotfire Platform Overview

26. Key Learnings
• Business engagement and ownership is paramount - Not an
“IT Project”
• Prioritize work efforts around business value
• Consistently mentor and pro-actively engage the platform to
drive business insights and value
• Streamline resources to strengthen knowledge transfer and
full use of the capabilities to optimize business insights and
value
• Communicate, communicate, communicate to evangelize the
use of the real time insights across the enterprise
• Optimize budget allocation
“Big Data” is not the Problem – “Relevant Information” is! …

27. Wrap Up
• Trumping the “Big Data” challenges requires a solid platform
that aligns with the dynamically changing needs of the
business
• Avoid “Boil the Ocean” academic approaches to extracting the
“Relevant” information vital to manage the business real time
• Engage the business throughout to ensure viral business value
• “Relevant” Information is not a technology issue
“Effective” business-value-based management of “Big Data” will
Trump the “Big Data” Challenges! …

28. Questions?

29. Contact Information
Becky Wanta
• becky.wanta@mgmresorts.com
• (480) 205-7229
Michael O’Connell
• moconnel@tibco.com
• (919) 740-1560
Bob Moore
• rmoore@tibco.com
• (617) 335-7283

30. Appendix

31. Big Data Analytics: Growth & Commitment
• Advanced Analytics
– Predictive, statistics, data mining
• Advanced Data Visualization
– Ease of use, Self-service
• Real Time
– Operational analytics push to real-time
Source: TDWI: Big Data Analytics, P. Russom, Q4, 2011

32. “Big Data” Benefits / Business Drivers
Customer Insights
– Acquisition, Growth, Retention, Advocacy
– Segmentation
– Clickstreams
Business Insights
– Product * Market Analysis
– Cost Reduction / Efficiency
– Forecasting
Real Time / Specific
Applications
– Fraud Detection / Intervention
– Cross-Sell / Up-Sell
– Risk Management & Compliance
– Event-based Management
– Metrics and KPIs
Source: TDWI: Big Data Analytics, P. Russom, Q4, 2011