Eye4travel analytics New York 2013

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Travel Dashboards: Real-time Data and Analytics for all William El Kaim Marketing Technology Dr. Catalin Ciobanu (Data Scientist, Innovation) Matthew Sorenson (Sr. Technical Analyst, Technology) Copyright © 2013 CWT

Transcript of Eye4travel analytics New York 2013

Page 1: Eye4travel analytics New York 2013

Travel Dashboards: Real-time Data and Analytics for all

William El Kaim – Marketing Technology Dr.

Catalin Ciobanu (Data Scientist, Innovation)

Matthew Sorenson (Sr. Technical Analyst, Technology)

Copyright © 2013 CWT

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Copyright © 2013 CWT

“Live” Dashboards as CWT Pilots

CWT Pilots

A “pilot” is a project managed by the Global product Innovation team, and used to test and validate new ideas, services and products.

A pilot is always done with a customers: CWT BU or clients.

A pilot is NOT A PRODUCT and has a short lifetime.

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Copyright © 2013 CWT

Delivering on data: Build it and they will come!

Objectives

investigate what’s technically feasible TODAY in our current IT context, see how it answers business needs and at what cost.

Why now?

Hired a A+ grade Data Scientist … (blame me!)

Real-time access to “Transactions” information (incl. pre-ticket)

Access to TX history up to several years back

Key Business Requests

Guarantee Best Fare at time of booking - Live comparison of booked trip with historical averages and “average” public shopping price

Segmentation - Client and Traveler Data in “context”

Actionable data – Fare Optimization, Business forecast

Advanced Data analytics – TMI reports or clients program analysis

Compliance – PCI

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Copyright © 2013 CWT

Evangelization: Real Time Bookings on a map

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Actionable Insight: Fare Alert

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Actionable Insight: Air Traffic Control Tower

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Smart Analytics … from Logs with Splunk

Splunk used in CWT for:

Real Time Threat or Activity Analysis

PCI Compliance Dashboards

Checking SLA from partners API and systems to systems flows

Forecasting the Estimated Time to Failure of mounted Disks

Tracking Transaction Activity Across Enterprise systems

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Working w/ SLAs

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Copyright © 2013 CWT

Lessons learned & Next Steps

CWT Pilots showed the technology is here

Data access limited by organizations, not technology

Volume-limitation: virtually none (private cloud / Saas)

Truly “live” display is possible but required additional effort (costs)

Continue on the path of Big Data

Control our “V”s (Volume, Variety, Velocity, Veracity, Visualization)

We need more Actionable and Scalable insights

We need to find the “best” Organization

Centralized Expertise Center or Built in each BU

Train internally (as we do) or outside?

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