driving retail success with machine data intelligence

Driving Retail Success with Machine Data Intelligence

John Atkinson, Technical Director of Strategic Alliances, Sumo LogicGreg Lord, Senior Product Marketing Manager, Akamai Technologies

Delivering seamless customer experiences The threefold challenge:

– Performance: Preparing for optimal performance and scalability– Security: Maintaining security and demonstrating compliance– Insights: Identifying trends and growth opportunities in real-time

DemoHow to get started

Agenda

Slower pages = higher bounce rates & less engagement

Slower pages = lower conversion ratesSource: Torbit

Web Experiences Directly Impact the Business

Delivering Fast, Consistent Web Experiences

Improve Web & Mobile Experiences With Akamai

Edge closest to end-userEdge closest

to origin

Scale Offload - Maximize origin efficiency

Availability - Always online

Performance Accelerate - Faster responses

Prefetch - Anticipate requests

Reduce Requests - Fewer round trips

Minimize Payload - Fewer bytes

Expedite Rendering - Better perceived performance

Intelligence Insight - Understand end-users

Logic - Empower edge & origin

Akamai Intelligent Platform

Cloud Monitor Provides Real-Time API Data Feed

Edge closest to end-userEdge closest

to origin

Akamai Cloud Monitor • Device, Geo & Network, & Last Mile Data• Request timing, Request Headers, & Business Context• Middle Mile Network & Latency Data• First Mile Latency & Origin Response Data• Object Delivery Timing & Response Headers• Page Rendering Timing• WAF Security Events

Akamai Intelligent Platform

How to derive business value and actionable insights from the Akamai Cloud Monitor data feed?

Optimize Availability, Performance and Customer Experiences

John Atkinson, Technical Director of Strategic Alliances, Sumo Logic

Search & Correlation

Visualization

Proactive Alerts

Applications

Mobile

Internet of Things

Network and Server

Transforming Machine Data Into Meaningful Insights

2014-04-06 23:52:37 10.20.11.105 GET /Tradejames2/StockTrade.aspx action=sell&symbol=s:156&holdingid=9875 80 Jayden 214.115.233.69 Mozilla/5.0+(Macintosh;+Intel+Mac+OS+X+10_7_3)+AppleWebKit/536.5+(KHTML,+like+Gecko)+Chrome/19.0.1084.54+Safari/536.5 200 0 0 333

2014-04-07 00:30:23 10.20.11.101 GET /Tradejames2/StockTrade.aspx action=sell&symbol=s:142&holdingid=9066 80 Lily 219.5.73.118 Mozilla/5.0+(Macintosh;+Intel+Mac+OS+X+10_7_3)+AppleWebKit/536.5+(KHTML,+like+Gecko)+Chrome/19.0.1084.54+Safari/536.5 200 0 0 206

2014-04-06 21:23:56 10.20.11.103 GET /Tradejames2/StockTrade.aspx action=sell&symbol=s:126&holdingid=4867 80 Hayden 233.134.69.149 Mozilla/5.0+(Macintosh;+Intel+Mac+OS+X+10_7_3)+AppleWebKit/536.5+(KHTML,+like+Gecko)+Chrome/19.0.1084.54+Safari/536.5 200 0 0 237

2014-04-06 20:58:23 10.20.11.102 GET /Tradejames2/StockTrade.aspx action=sell&symbol=s:168&holdingid=9932 80 Thomas 150.205.10.108 Mozilla/5.0+(Macintosh;+Intel+Mac+OS+X+10_7_3)+AppleWebKit/536.5+(KHTML,+like+Gecko)+Chrome/19.0.1084.54+Safari/536.5 200 0 0 110

2014-04-06 13:33:20 10.20.11.103 GET /Tradejames2/StockTrade.aspx action=sell&symbol=s:189&holdingid=3802 80 Harper 33.168.5.129 Mozilla/5.0+(Macintosh;+Intel+Mac+OS+X+10_7_3)+AppleWebKit/536.5+(KHTML,+like+Gecko)+Chrome/19.0.1084.54+Safari/536.5 200 0 0 398

2014-04-06 21:30:43 10.20.11.105 GET /Tradejames2/StockTrade.aspx action=sell&symbol=s:175&holdingid=4147 80 Parker 120.22.112.139 Mozilla/5.0+(Macintosh;+Intel+Mac+OS+X+10_7_3)+AppleWebKit/536.5+(KHTML,+like+Gecko)+Chrome/19.0.1084.54+Safari/536.5 200 0 0 398

2014-04-06 08:31:03 10.20.11.101 GET /Tradejames2/StockTrade.aspx action=sell&symbol=s:186&holdingid=4576 80 Maya 11.208.155.200 Mozilla/5.0+(Macintosh;+Intel+Mac+OS+X+10_7_3)+AppleWebKit/536.5+(KHTML,+like+Gecko)+Chrome/19.0.1084.54+Safari/536.5 200 0 0 168

Powerful Analytics & Event Detection/Correlation

CorrelateExpress complex correlation logicEnrich data with contextual infoDetect compound/complex events

Discover PatternsAutomatically extract patterns with LogReduceTM Analyze across multiple sourcesReduce output by 3 orders of magnitude

Detect AnomaliesBuild baselines based on patternsDetect changes across multiple sourcesFind anomalies in all your data in real-time

Find a single event among billionsSearch across all data sourcesScale to terabytes of data per day

Filter/Search

Applications

Network and Servers

Mobile

Next Generation Infrastructure

Elastic and Built to Scale

Stream Engine

Index and Search

Dashboards

Real-TimeAlerts

InteractiveSearch

Improve Site Availability and Reliability – Reduce checkout problems by detecting server errors early– Improve customer satisfaction and conversion rates

Strengthen Site Security and Meet Compliance– Protect brand reputation by understanding attack vectors and

proactively building defenses

Leverage Business Insights – Identify trends and business growth opportunities in real-time– Improve targeting based on geo customer behavior

Key Use Cases

Cloud Monitor and Sumo Logic

Configures in MinutesNo Software to InstallNo Hardware to Buy

“Cloud-to-Cloud” Integration

Real-Time Akamai Data

Origin Performance

Reduce MTTI and MTTR by 50% or more

Reduce conversion errors Maintain steady revenue stream Elastically scale to meet unforeseen

spikes

Improve Security Posture: Attack Spikes

Proactively detect security breaches Monitor web application firewall (WAF)   Uncover compliance violations Reduce compliance audit costs by 30%

Identify purchasing trends in real-time Deliver improved service, build loyalty Rapidly uncover customer experience

issues Track customer activity e.g shopping

cart abandonment Monitor Ad statistics for optimal

placement

Demo

How to Get Started

22 © 2014 Trace3, All rights reserved.

© 2014 Trace3All rights reserved.

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