Copyright © 2015 Splunk Inc.

Splunk for Industrial Data and the Internet of Things

Katipong S.

Lead Consultant SEA

Safe Harbor Statement

During the course of this presentation, we may make forward looking statements regarding future events

or the expected performance of the company. We caution you that such statements reflect our current

expectations and estimates 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 this presentation are being made as of the time and date of its live presentation. If reviewed

after its live presentation, this presentation may not contain current or accurate information. We do not

assume any obligation to update any forward looking statements we may make. In addition, any

information about our roadmap outlines our general product direction and is subject to change at any

time without notice. It is for informational purposes only and shall not be incorporated into any contract

or other commitment. Splunk undertakes no obligation either to develop the features or functionality

described or to include any such feature or functionality in a future release.

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Splunk Company Overview

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Company

• Global HQs:

San Francisco

London

Hong Kong

• 1,400 employees globally

• Annual Revenue: $450.9M (YoY +49%)

• NASDAQ: SPLK

Products

• Free trial to massive scale

• Splunk products: Splunk Enterprise

Splunk Cloud

Hunk

Splunk MINT

Premium Apps

Customers

• 9,000+ customers

• Across 100 countries

• Small to large organizations

• 75+ of the Fortune 100

• Largest license:

400+ Terabytes/day

Big Data Comes from Machines Volume | Velocity | Variety | Variability

GPS, RFID,

Hypervisor, Web Servers,

Email, Messaging, Clickstreams, Mobile,

Telephony, IVR, Databases, Sensors, Telematics, Storage,

Servers, Security Devices, Desktops

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Turning Machine Data Into Business Value

Index Untapped Data: Any Source, Type, Volume

Online Services

Web Services

Servers Security

GPS Location

Storage Desktops

Networks

Packaged Applications

Custom Applications Messaging

Telecoms Online

Shopping Cart

Web Clickstreams

Databases

Energy Meters

Call Detail Records

Smartphones and Devices

RFID

On- Premises

Private Cloud

Public Cloud

Ask Any Question

Application Delivery

Security, Compliance and Fraud

IT Operations

Business Analytics

Industrial Data and the Internet of Things

Structured RDBMS

SQL Search

Schema at Write Schema at Read

Traditional Splunk

Splunk Approach to Machine Data

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ETL Universal Indexing

Volume Velocity Variety

Unstructured

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Splunk for Industrial Data & the Internet of Things

REMOTE TROUBLESHOOTING

& PREVENTIVE MAINTENANCE

SECURITY & COMPLIANCE

DEVICE USAGE & CUSTOMER ANALYTICS

OPERATIONAL EFFICIENCY

IoT & Industrial Data Machine Data Sources

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Operational Technology (ICS) Consumer Technology

Energy Oil & Gas Process Manufactur

ing

Medical Devices Telecom

Smart Building

Smart Home

Wearables Media

SCADA DCS Emerging Technology Other

• ICS (Industrial Control System) : Describes a system or process with many systems • SCADA (Supervisory Control and Data Acquisition) : Geographically distributed monitoring • DCS (Distributed Control System) : Process (batch or flow) with many data points • Other : Custom embedded systems making up the rest of the IoT

Key Features for Industrial Data

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By Default ,All Data Is Joined on Time

Advanced but Extensible Statistical Engine

Real-Time Event, Alarm and Data Processing

COLLECT DATA FROM ANYWHERE

SEARCH AND ANALYZE EVERYTHING

GAIN REAL-TIME OPERATIONAL INTELLIGENCE

The Power of Splunk

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Power Extensibility

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Splunk Web Framework R Project App

Apps & Capabilities for Industrial Data & Internet of Things

• DBConnect

• REST API and SNMP Modular Inputs

• Universal Forwarder for Raspberry Pi

Apps, Features & Partners

REST

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New Splunk Eco-Systems

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Copyright © 2015 Splunk Inc.

Use Cases

Building Smarter Transportation

Improving Safety

Reducing Fuel Costs

Improving On-Time Operations

Over $1 Billion in Potential Savings

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Life Before SPLUNK

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• Manual data batch analysis • Excel was primary reporting tool • No online or dynamic

interactivity • Tedious, time consuming, and

very prone to human error!!!

There had to be a better way of doing business than Excel engineering

Immediate Business Impact

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• Use SPLUNK to index unstructured train data and analyze fuel savings, in-train forces, time to destination, and driver compliance

• Customers are presented with easy to understand performance analytic dashboards

• Real-time metrics and alerts How would I describe SPLUNK > ?

Imagine if an Excel and SQL had a baby and it grew up in a monastery becoming enlightened, capable of expressing your

data’s inner meanings

Q & A

Thank you