Splunk Discovery Day Moscow

Transcription

1 Splunk Discovery Day Moscow Nordine Aamchoune Area Director, EMEA Emerging Markets Moscow, Russia, 24 th of October 2017

2 Welcome & Introduction Привет и добро пожаловать

3 Thank You/Cпасибо

4 Forward-Looking Statements 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. Splunk, Splunk>, Listen to Your Data, The Engine for Machine Data, Splunk Cloud, Splunk Light and SPL are trademarks and registered trademarks of Splunk Inc. in the United States and other countries. All other brand names, product names, or trademarks belong to their respective owners Splunk Inc. All rights reserved.

5 Splunk Company Overview Company Products Customers Global HQs: San Francisco London Hong Kong 2,700+ employees globally Annual Revenue: $950M (YoY +42%) Free trial to massive scale Splunk Products Splunk Enterprise Splunk Cloud Splunk Light Premium Solutions 13,000+ customers Across 110+ countries Small to large organizations More than 85 of the Fortune 100 Largest license: 4+ Petabytes/day NASDAQ: SPLK

6 Digital, our everyday life

7 Every Day, We re on a Digital Journey

8 MACHINE DATA is the Secret Sauce of Every Company s Digital Transformation

9 Big Data Comes from Machines Volume Velocity Variety Variability GPS, Machine-generated data is one of the RFID, fastest growing, most complex Hypervisor, and most valuable segments of big Web Servers, data , Messaging, Clickstreams, Mobile, Telephony, IVR, Databases, Sensors, Telematics, Storage, Servers, Security Devices, Desktops

10 The data we know and use The available data we don t know or use 10

11 80% of all digital data is Unstructured

12 Your customer s experience is a digital one. Personal Available Secure

13

14 You are going to be breached Insiders Phishing Malware APT Ransomware

15 The amount of data is increasing exponentially

16 The Amount of Data Created Each Year Is Exploding, with More Volume and Variety Data Volume IoT Mobile / Cloud Mainframe Client / Server Web / Virtualization Time

17 Why am I making decisions based on last month s data? We should be running the business in real time!

18 MACHINE DATA time series, in motion, 18 unstructured 18

19 BUT IT HAS MANY USES SECURITY IT OPERATIONS CUSTOMER EXPERIENCE RISK & COMPLIANCE MANAGEMENT DASHBOARDS IOT AND LOTS OF UNTAPPED VALUE 19

20 That data can be used for almost anything and by everyone

21 Making Sense & Managing it in Real-Time is Hard SOURCES Order Processing Middleware Error Care IVR Twitter Customer ID Order ID Product ID ORDER, T14:04:12.484, , , ,43CD1A7B8322,SA-2100 MAY 21 14:04: wl-01.acme.com Order failed for customer Exception follows: weblogic.jdbc.extensions.connectiondeadsqlexception: Order ID Customer ID weblogic.common.resourcepool.resourcedeadexception: Could not create pool connection. The DBMS driver exception was: [BEA][Oracle JDBC Driver] Error establishing socket to host and port: ACMEDB-01:1521. Reason: Connection refused 05/21 16:33: [CONNEVENT] Ext ( ): Event 20111, CTI Num:ServID:Type 0:19:9, App 0, ANI T7998#1, DNIS , SerID 40489a07-7f6e a- Time 13ae51a6d092, waiting on hold Trunk T /21 16:33:11:242 [SCREENPOPEVENT] SerID 40489a07-7f6e a-13ae51a6d092 CUSTID Customer ID 05/21 16:37: [DISCEVENT] SerID 40489a07-7f6e a-13ae51a6d092 {actor:{displayname: Go Boys!!,followersCount:1366,friendsCount:789,link: Dallas, Twitter ID TX,objectType: place }, Customers Tweet objecttype: person,preferredusername: Can t buy This device Site doesn t work! Called, gave up on waiting for them to answer! RT if You activity,postedtime: T16:39: } Company s Twitter ID

22 And Customers Have Higher Expectations Than Ever Customer Expectations Business Imperatives Improved Experiences Streamlined Processes Employee Engagement Intelligent Operations Increased Loyalty Stronger Security Chris Kammermann Sr. Infrastructure Engineer Shazam

23 Why Splunk? FAST TIME-TO-VALUE ONE PLATFORM, MULTIPLE USE CASES VISIBILITY ACROSS STACK, NOT JUST SILOS ASK ANY QUESTION OF DATA ANY DATA, ANY SOURCE OR DEPLOYMENT MODEL

24 Why Splunk? Traditional Splunk Schema at Write Schema at Read SQL Search ETL Universal Indexing Structured RDBMS Unstructured Volume Velocity Variety

25 Proven Customer Value Across Use Cases and Industries Increased revenues from higher uptime Revenues from faster product launch Savings from fraud prevention Value from preventing APTs Reduction in SLA payouts Optimizing fuel use with sensor data $11.0 M $11.0 M $25.0 M $25.0 M $10.0 M $10.0 M $200+ M $200+ M $1.8 M $1.8 M $1.0 + B $1.0+ B Online Services High Tech Manufacturing Financial Services Oil & Gas Services Telecom Provider Transportation

26 COMMUNICATIONS CUSTOMER EXPERIENCE Analyze Customer Behavior for Videos Understand how customers watch video on web and mobile Improve customer experience with deep insights of video performance Analyze traffic sources streaming or on-demand, device Boost revenue by analyzing search on set-top box and customer segmentation

27 FINANCIAL SERVICES SECURITY, IT OPERATIONS, BUSINESS PROCESS ANALYTICS Unicredit: Operational Visibility Across Multiple Banking Channels Our aim was to reach beyond the silos and individual applications to achieve real-time visibility and operational intelligence. It is absolutely important to our business to have full and constant control access across the entire IT infrastructure. ICT Engineer, Unicredit Business Integrated Solutions Improved internet banking services through integrated view of IT Operations across entire infrastructure Understand online banking usage and navigation patterns to optimize customer journey Perform POS and ATM analytics to visualize transactions and card usage in real-time

28 RETAIL CUSTOMER EXPERIENCE Real-Time Insights to Optimize Purchase Funnel Improve site conversion, reduce drop-offs Understand customer behavior Track end-to-end transactions Enhance site speed for faster content delivery

29 MEDIA & ENTERTAINMENT PRODUCT ANALYTICS Analyze Rich Media Services Data Analyze billions of events for user engagement Provide deep video analytics stalls, engagement, quality Analyze live sports events traffic Mobile data insights for 65+ content networks

30 RETAIL BUSINESS ANALYTICS, DIGITAL MARKETING Gain New Business Insights From Data Lake Understand customer purchase influencers across multiple channels Track consumption, purchasing patterns in real time by channels Gain new insights for better decision making from data lake

31 RETAIL BUSINESS ANALYTICS, DIGITAL MARKETING Optimize Multi-Channel Marketing Campaigns Multi-channel analytics for web, mobile and 10,000+ store locations Real-time revenue insights, product mix and promotion effectiveness Marketing campaign optimization

32 TRANSPORTATION IOT Improving Passenger Experience Real-time insights into airfield operations to improve on-time efficiency Data from gates, board pass scans, X-ray to map passenger flow Increased yield on car park revenue

33 Turning Machine Data Into Business Value Turning Machine Data Into Business Value DEVELOPER PLATFORM (REST API, SDKS) Platform for Operational Intelligence Collect Store Analyze Forwarders Event Collector Amazon S3 Hadoop Machine Learning Schema On Read Mobile Network Wire Data Relational Databases Splunk Index SPL Reporting & Dashboards On-Premises Cloud

34 Make machine data accessible, usable & valuable to everyone.

35 Thank You/Cпасибо