Leverage Machine Data
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The Big Data phenomenon is being driven by the growth of machine data. Critical insights found in machine data enable IT and Security teams to ensure uptime, detect fraud and identify threats. Today, forward-thinking organizations are discovering its value to better understand their customers, improve products, optimize marketing and improve business processes. Learn how Splunk and your machine data can deliver real-time insights from this new class of data and complement your existing BI investments.
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Leverage Machine Data
- 1. Copyright © 2016 Splunk Inc. Splunk for Business Analytics Tyler Muth Analytics Architect, Public Sector Ramik Chopra Analytics Specialist, Public Sector
- 2. Machine Data – Critical Source of Insights “By 2017, over 50% of analytics implementations will make use of event data streams generated from instrumented machines, applications and/or individuals.” 3
- 3. Run the Business in Real-time Data From the Past Real-time Data Statistical Forecast T – a few days T + a few days Security Operations Center IT Operations Center Business Operations Center Predictive (Models) Descriptive (BI Tools, Data Lakes) Grey space
- 4. 5 Make machine data accessible, usable and valuable to everyone. 5
- 5. Splunk Company Overview 6 Company • Global HQs: San Francisco London Hong Kong • 1,800+ employees globally • Annual Revenue: $450.9M (YoY +49%) • NASDAQ: SPLK Products • Free trial to massive scale • Splunk products: Splunk Enterprise Splunk Cloud Hunk Splunk Light Splunk MINT Premium Solutions Customers • 10,000+ customers • Across 100 countries • Small to large organizations • More than 80 of the Fortune 100 • Largest license: 400+ Terabytes/day
- 6. Structured RDBMS SQL Search Schema at Write Schema at Read Traditional Splunk Splunk Approach to Machine Data Copyright © 2014 Splunk Inc. 7 ETL Universal Indexing Volume Velocity Variety Unstructured
- 7. Big Data has now ‘happened’ 8 :-) Brand Sentiment Higher NPS 360O Customer View Loyal Customers Product Recommendation More Sales Propensity to Churn Greater Retention Real-time Demand/ Supply Forecast More Efficient Predictive Maintenance Less Downtime Fraud Detection Lower Risk Network Optimization Lower Cost Insider Threats Greater Security Risk Mitigation, Real-time Retain Market Value Asset Tracking Increase Productivity Personalized Care Loyal Customers Completely new sources of data Time series based Online Services Web Services Servers Security GPS Location Storage Desktops Networks Packaged Applications Custom ApplicationsMessaging Telecoms Online Shopping Cart Web Clickstreams Databases Energy Meters Call Detail Records Smartphones and Devices RFID On- Premises Private Cloud Public Cloud A whole class of new use cases (new questions) More complete picture of the business process The desire for business operations “as it happens”
- 8. IT Operations Application Delivery Developer Platform (REST API, SDKs) Business Analytics Industrial Data and Internet of Things Delivers Value Across IT and the Business Business Analytics Industrial Data and Internet of Things Security, Compliance, and Fraud
- 9. Splunk: Complementing BI Investments 12
- 10. Data sources: call center logs, middleware logs, transaction logs Business Analytics Use Case • Gain visibility into pre-order sales process across different selling points • Get real-time sales insight by store and customer type • Analyze transaction volumes across different sales channels • Perform pre-order customer segmentation analysis 13 Monitor Sales Process for Improved Customer Service
- 11. Insight Into Activation& ProvisioningProcess Data sources: CDN logs, content usage logs, mobile/set top box/web logs, network perf logs Expansion to Business InsightsInitial IT Ops Use Case • Identify, reduce and resolve application incidents quickly • Avoid financial impact from fewer application outages • Optimize server capacity • Gain end-to-end visibility into order tracking and device activation • Improve customer experience with faster activation failure investigation • Prevent revenue loss by mitigating activation failures 14
- 12. Solving the Disappearing Test Problem Data sources: custom applications, application server logs, transaction logs, database logs Expansion to Business AnalyticsInitial 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 multi-tiered systems • Optimize various stages in the process workflow by identifying bottlenecks • Comply with labor regulations
- 13. 16 Summary Complement traditional tools Real-time business insights New class of data for business analytics Enrich machine data with structured data > > > > Faster insights from Hadoop>
- 15. 18 Hospital Services and Patient Inflow
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- 19. Demo - Smart Meters in Power Generation and Distribution 22
- 20. Demo – Care Coordination 23
- 21. Copyright © 2016 Splunk Inc. Thank You
Notas del editor
- This event is about Data so let us start with some BIG number Gartner Predicts that by 2017 – over 50% of analytics implementation will make use of event data generated from Instrumented machine, applications of individuals – 50% That is a BIG number. If you are going to participating in your companies analytics implementations – you need to be prepared for this transformation. At Splunk we call this data Machine Data
- At Splunk, our mission is to make machine data accessible, usable and valuable to everyone. And this overarching mission is what drives our company and product priorities.
- Splunk has more than 1,800 employees worldwide, with our global headquarters in San Francisco. Our 10,000+ customers in 100 countries are using Splunk software and cloud services to improve service levels, reduce operations costs, mitigate security risks, enable compliance, enhance DevOps collaboration and create new product and service offerings. Our products are designed to fit your needs and are built to be as frictionless to deploy as possible. Simple download Splunk software, or sign up for the online sandbox, point it at your data, and you’ll up and running in minutes. Please always refer to latest company data found here: http://www.splunk.com/company.
- The rise of big data has forced IT organizations to transition from a focus on structured, relational data, to accommodate unstructured data, driven by the volume, velocity and variety of today’s applications and systems. As the data has changed from structured data to unstructured data, the technology approach needs to change as well. When you don’t know what data types you’ll need to analyze tomorrow or what questions you need to ask in a week, flexibility becomes a key component of your technology decisions. The ability to index any data type, search across silos and avoid being locked into a rigid schema opens a new world of analytics and business insights to your organization. Schema at Read – Enables you ask any question of the deal Search – Enables rapid, iterative exploration of the data along with advanced analytics Universal Indexing – Enables you to ingest any type of machine data Horizontal scaling over commodity hardware enables big data analytics
- Another cool thing about Splunk is that both IT and business professionals can analyze machine data to get real-time visibility and operational intelligence. With our platform for machine data, organizations can improve their performance in a wide range of areas. Note to Shawn: Shawn to write a note about what is Splunk?
- Splunk provides an open, extemsible fully integrated platform. That means you can collect, index, analyze, report and predict on machine-generated data ALL from a single product. It supports all aspects of the analytics pipeline It’s enterprise-ready highly scalable platform with high availability and disaster recovery features, role-based access control and scales to index hundreds of terabytes per day. It’s an open and extensible platform with over 500 Splunk Apps available and allows for custom development. Note to Shawn: Making a point to say that these boxes are typically occupied by different technologies by different vendors that are glued together – whereas Splunk is end-to-end
- There are 4 key areas where Splunk helps accelerate business analytics: Digital Marketing – Real-time insights into marketing campaigns, user engagement and shopping cart conversion across multiple channels. Digital marketers, web/digital analyst looking to complement free tools and moving beyond single source of data (clickstream) benefit from using Splunk. Customer Experience Analytics – Measurement and analysis of customer behavior and identifying opportunities to increase customer engagement, conversion. Web/Digital Analyst or WebOps teams responsible for providing a better user experience on the site require going deeper into the data and combining/correlating data across various sources. Product Analytics – Analysis of product feature adoption, usage and effectiveness resulting in better conversion or user engagement. Product managers/Product Analyst that monitor and optimize the website or mobile app benefit from Splunk as they get usage/adoption of the features in real-time and can pinpoint areas of opportunities for improvement. Business Process Analytics - Business process analytics provides end-to-end real-time insights across the complete business process. Taking data from middleware and from various applications or touchpoints within websites or services help business owners, customer service organizations, business analyst monitor and optimize business processes.
- Company background: Far EasTone Telecommunications (FET) is a leading company in Taiwan, which provides telecommunications and digital application services. Business Use Case: To enable them to have a successful iPhone 5 launch in Taiwan, FarEasTone turned to Splunk to monitor their iPhone 5 pre-order sales processes across different customer selling points - online, in store and via the call center. This enabled them to do better capacity planning. They were also able to segment their customers and deliver a superior in store and online customer experience based on insights they gained about their customers. FarEasTone is also leveraging Splunk to gain visibility into customer touch points across different call center and perform call center analysis. The are measuring metrics like, call distribution by calling area, call analysis by customer/product/service and understand the reason for customer calls. IVR analysis enables them to gain visibility into customer transactions across PBX, IVR, CRM/CTI systems Data sources used: Weblogs, clickstream logs, transaction logs, call center logs Key Metrics volume distribution by calling area call analysis by product/customer/service call reason analysis IVR service rate Case Study/ Video Link https://splunk.box.com/s/5fgy2k5l601aqk2fc6iy
- Company background: Telstra is Australia's largest telecommunications and media company, which builds and operates telecommunications networks and markets voice, mobile, Internet access, pay television and other entertainment products and services. It was founded in 1975 and has over 31,000 employees with revenues of AUD 26.3 Billion (2014) Initial use case: Telstra started their use of Splunk to reduce the time it took to identify and resolve issue. Business Expansion use case: Telstra expanded their use of Splunk to gain end-to-end visibility into customer order process and device activations. Their ability to quickly identify activation failures, leads to proactive and better customer experience. Insights gained from the process also enables them to mitigate activation failure. Data sources used: CDN logs, content usage logs, mobile / set-top box/web logs, network perf logs Key Metrics Real time order volume analysis by Product Segment Type Phone model Phone activation time from order capture to provisioning Order errors analysis Top agent analysis Case Study/ Video Link https://splunk.box.com/s/3d0992jd2yqwbnietq60
- Company background: Pearson is an education publishing and assessment service to schools and corporations, as well as directly to students. Pearson owns educational media brands including Addison–Wesley, BBC Active, Bug Club, eCollege, Fronter, Longman, MyEnglishLab, Penguin Readers, Prentice Hall, Poptropica and Financial Times Press. They operate in more than 70 countries. Initial use case: Pearson initial use of Splunk was to automate manual diagnoses of issues to reduce the time it took to identify and resolve them. Business Expansion Use Case: Pearson expanded their use of Splunk to gain visibility into their complex test grading system. Pearson had developed a custom test grading system which spanned multiple systems and performed over 25 separate functions, including matching exams with other registration information, comparing exams to answer keys and even processing results from human-graded portions of exams. With Splunk they were able to correlate data across multiple siloes and gain visibility into the complex grading process. This enabled them to be proactive and improve customer experience and reduce costly escalations. They are also using Splunk to ensure human graders are complying with labor regulations. Data sources used: Custom applications, application server logs, transaction logs, database logs Key Metrics Out compliance grader analysis Average time to process each test Testing process workflow analysis – “stuck tests”, time taken to complete each process step Case Study/ Video Link: http://www.splunk.com/web_assets/pdfs/secure/CS_Solving_the_Disappearing_Test_Problem.pdf