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Copyright © 2015 Splunk Inc.
Manish Jiandani Director Solu?ons Marke?ng, Splunk
Splunk for Business Process Analy?cs
Disclaimer
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During the course of this presenta?on, we may make forward looking statements regarding future events or the expected performance of the company. We cau?on you that such statements reflect our current expecta?ons and es?mates based on factors currently known to us and that actual events or results could differ materially. For important factors that may cause actual results to differ from those contained in our forward-‐looking statements, please review our filings with the SEC. The forward-‐looking statements made in the this presenta?on are being made as of the ?me and date of its live presenta?on. If reviewed aRer its live presenta?on, this presenta?on may not contain current or
accurate informa?on. We do not assume any obliga?on to update any forward looking statements we may make.
In addi?on, any informa?on about our roadmap outlines our general product direc?on and is subject to change at any ?me without no?ce. It is for informa?onal purposes only and shall not, be incorporated into any contract or other commitment. Splunk undertakes no obliga?on either to develop the features
or func?onality described or to include any such feature or func?onality in a future release.
Machine Data – Cri?cal Source of Insights
“By 2017, over 50% of analy+cs implementa+ons will make use of event data streams generated from instrumented machines, applica?ons and/or individuals.”
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MAKE MACHINE DATA
ACCESSIBLE, USABLE AND VALUABLE
TO EVERYONE
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Splunk Markets Across Data Sources, Use Cases & Products
Platform for Machine Data
Application Delivery
IT Operations Business
Analytics Industrial Data and
Internet of Things
Security, Compliance and Fraud
Customer Use Cases for Business Analy?cs
CUSTOMER EXPERIENCE
PRODUCT ANALYTICS
DIGITAL MARKETING
BUSINESS PROCESS ANALYTICS
REAL-‐TIME BUSINESS INSIGHTS
NEW CLASS OF DATA FOR BUSINESS ANALYTICS
ENRICH MACHINE DATA WITH STRUCTURED
DATA
FASTER INSIGHTS FROM
HADOOP AND NOSQL
Why Splunk for Business Analy?cs
Splunk Complements Exis+ng Business Intelligence Technologies
Apps & Capabili?es for Business Analy?cs
• DB Connect • Stream
• ODBC Driver • Search • Data Models
• Pivot
Apps, Features & Partners
Customer Use Cases for Business Analy?cs
CUSTOMER EXPERIENCE
PRODUCT ANALYTICS
DIGITAL MARKETING
BUSINESS PROCESS ANALYTICS
Interac?ons Make a Business Process
Trade Capture
Trade Execu?on Valida?on Trade
Booking Trade Clearing Trade Seglement
Business Process – Trade Seglement
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Interac?on -‐ 1 Interac?on -‐ 2 Interac?on -‐ n
Business Process
Business Process Analy?cs
Business process analy?cs provides end-‐to-‐end real-‐?me insights across the complete business
process
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Online Retailer – Monitoring Checkout Process
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Managing Order Lifecycle
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Business Process Analy?cs Is Challenging
Processes span heterogeneous systems
make it difficult to collect, correlate, explore, and
analyze data
Process are fluid
Introduce challenges in rapidly on-‐boarding new data source, deliver new
insights
Need real-‐+me visibility
Analyzing large volumes of data from disparate systems in real-‐?me is
arduous
Process Efficiency Directly Impact Customer Experience
Business Process Analy?cs Value
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Real-‐Time Pa+ent Eligibility
Op?mize revenue cycle by enhanced claims visibility
Telco
Retail
Financial Services
Healthcare
Trade Monitoring and SeOlement
Reduce risk and liquidity requirements through faster trade seglement
New Service Ac+va+on
Prevent revenue loss from reduced ac?va?on failure incidents
Real-‐Time Order Visibility
Increase revenue from higher order conversions
Splunk: A New Approach for Business Process Analy?cs
• Provides an end-‐to-‐end view into business processes by correla?ng events across “siloed” heterogeneous systems
• Enables con?nuous real-‐?me monitoring of business processes • Rapidly onboard new data sources as underlying business processes change
• “Non-‐intrusive” -‐ easily integrate with exis?ng applica?ons and infrastructure
• Gain data driven view of the business process
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Key Features for Business Process Analy?cs
Join data on the fly across structured/
unstructured sources
Data Inges?on – tap into wire data
(Stream) and mobile data (MINT)
Correlate data across systems
Real-‐?me data processing and
alerts
Easily integrate Splunk as a part of business process via REST API integra?on
Business Process Analy?cs – Customer Success Communica+ons Retail Financial Services Other
Expansion to Business Analy+cs Ini+al IT Ops Use Case
Omni-‐channel Visibility to Improve Customer Service
Data sources: syslog files, applica3on and transac3on logs, business opera3ons data
• Reduce MTTR/MTTI • Minimize down?me and op?mize maintenance cycles
• Meet compliance regula?ons
• Gain real-‐?me end-‐to-‐end visibility into opera?ons across call centers
• Inves?gate complex customer order issues in real ?me
• Track current order status across mul?-‐?ered enterprise systems
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Insight Into Ac?va?on & Provisioning Process
Data sources: CDN logs, content usage logs, mobile/set top box/web logs, network perf logs
Expansion to Business Insights Ini+al IT Ops Use Case
• Iden?fy, reduce and resolve applica?on incidents quickly
• Avoid financial impact from fewer applica?on outages
• Op?mize server capacity
• Gain end-‐to-‐end visibility into order tracking and device ac?va?on
• Improve customer experience with faster ac?va?on failure inves?ga?on
• Prevent revenue loss by mi?ga?ng ac?va?on failures
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Manage Customer Experience Across Channels
Data sources: applica3on server logs, web server logs, mobile (usage, perf) logs, transac3on logs, network performance logs, ATM logs
Expansion to Business Analy+cs Ini+al IT Ops Use Case
• Spot trends and stop disrup?ve user behavior
• Troubleshoot network problems • Improve internet banking opera?ons
• Analyze POS, ATM transac?ons • Visualize transac?ons, card usage and client behavior
• Understand online banking usage and naviga?on pagerns
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Solving the Disappearing Test Problem
Data sources: custom applica3ons, applica3on server logs, transac3on logs, database logs
Expansion to Business Analy+cs Ini+al IT Ops Use Case
• Automate manual diagnoses and searches for lost tests
• Reduce MTTR • Correlate and search data across different silos
• Gain visibility into business process across complex mul?-‐?ered systems
• Op?mize various stages in the process workflow by iden?fying boglenecks
• Comply with labor regula?ons
Summary
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" Increasing number of customers are leveraging Splunk to gain end-‐to-‐end real-‐?me visibility into their business processes
" Leverage your investments and data you have already indexed in Splunk to answer new business ques?ons
" Enrich machine data in Splunk with business data to deliver business context
Business Analy?cs Sessions at .conf2015 Predict, Alert, Manage, and Op?mize an Ecosystem with Splunk
Quick Service Data for Quick Service Restaurants
How MetLife is using Splunk to Improve Customer Experience of Our Sales and Servicing Websites
Tracking Health Claims Status across Mul?ple Formats, Forms, Systems, and Plaporms (and not losing any!)
Leveraging Splunk for Tracking Business Transac?ons
End-‐to-‐End Business Transac?on Monitoring with Splunk at Ogo
The Challenges of Tiny Data
Where Mobile meets In-‐Store and Point of Sale -‐ Data Collides. Making Real Time Data Ac?onable to Drive Decisions
A constant evolu?on towards vision, performance and analy?cs
Q&A
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THANK YOU