Illinois Digital Government Summit 2015
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Machines are talking, are you listening? Charles Praznowski, Sales Engineer
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Illinois Digital Government Summit 2015
- 1. Copyright © 2015 Splunk Inc. Machines are talking, are you listening? Charles Praznowski Sales Engineer
- 2. Copyright © 2015 Splunk, Inc. Copyright © 2015 Splunk, Inc. Machines are Talking Are you Listening? Jason Schogel Sales Engineer What is Machine Data? What are the barriers? How can I collect machine data? Where can I get some? What can I do with it? We’ll address these questions:
- 3. Copyright © 2015 Splunk, Inc. What is Machine Data? Logs files from computers and network devices Usage and Access Data from Personal electronics Data from sensors and remote metering devices Desktop Laptop Datacenters iPad iPhone Android Watches RFID All of these produce data on their own Lots of data Valuable data Energy Meters Weather Sensors Radar & Traffic Cameras
- 4. Copyright © 2015 Splunk, Inc. What does it look like? Applications Twitter Care IVR computer systems
- 5. Copyright © 2015 Splunk, Inc. A world of connected assets Internet of ThingsCity Services Data Transportation | Energy | Utilities | Building Management Water & Sewage | Public Safety Wearables, Home Appliances, Consumer Electronics, Gaming Systems, Personal Security, Set-Top Boxes, Vending Machines, Mobile Point of Sale, ATMs, Personal Vehicles Sensors, Pumps, GPS, Valves, Vats, Conveyors, Pipelines, Drills, Transformers, RTUs, PLCs, HMIs, Lighting, HVAC, Traffic Management, Turbines, Windmills, Generators, Fuel Cells, UPS 5 Retail | Home | Consumer Telemedicine | Connected Cars
- 6. Copyright © 2015 Splunk, Inc. State & Local Machine Data • Transit turnstiles, Elevators, Escalators • Traffic, Police Cameras • Weather Collectors • Secure Entry
- 7. Copyright © 2015 Splunk, Inc. What are traditional barriers to machine data? • Data is on closed, legacy networks • Too expensive to transform data for reporting tools • Cannot get data in real time
- 8. Copyright © 2015 Splunk, Inc. So how can I collect machine data? • Evaluate All-One-Systems – Data Collection, Storage, Analytics – Log Capture & Network Capture – Access any format, generate schema • Ensure Processes are Real Time from Collection to Display • Ensure Benefits outweigh Costs
- 9. Copyright © 2015 Splunk, Inc. Where can I get some? Example :Water Meter Transmission Unit • Owner/Operator – City of Chicago Department of Water • Where – >1m Commercial and Residential Buildings Transmits data from water sensors inside the building. • Allows for: – More accurate billing compared to estimating bills based on irregular manual meter readings – Near-real-time leak alerts for building owners.
- 10. Copyright © 2015 Splunk, Inc. Where can I get some? Example: EZ-Pass Reader • Owner/Operator – DOT/DoITT/Federal Highway Administration • Where: – Nationwide • Although primarily used for toll- collection, these sensors track traffic flow, allowing traffic signals to respond to changing conditions.
- 11. Copyright © 2015 Splunk, Inc. What can I do with it? CONSTITUENT SERVICES AND BILLING WEBSITE/PORT AL ANALYTICS BUSINESS PROCESS MEASUREMENT SECURITY MONITORING
- 12. Copyright © 2015 Splunk, Inc. Traffic Example: Improved planning for better services -STREET CLOSURE - How will traffic be affected? How will parking revenue be impacted? How should busses be rerouted? Need to add personnel? How do we measure the service in real-time?
- 13. Copyright © 2015 Splunk, Inc. Example: Local Ordinance Enforcement Temperature Sensor & Heating System Control • Owner/Operator: – Building Owner • Where – All Chicago apartment building • All apartment buildings must provide heating when outside temperature drops below stated minimum. • Sensors help building owners abide by Chicago Department of Housing Preservation and Development mandates.
- 14. Copyright © 2015 Splunk, Inc. Improve Constituent Engagement Mitigate Security Threats Deliver Better Eligibility Experience Reduce IT Costs Ensure HIPPA/PCI/FISMA Compliance Prevent Fraud Accelerate Transaction Processing Improve Operational Efficiency What do most agencies use it for? 14 STATE & LOCAL GOVERNMENT
- 15. Copyright © 2015 Splunk, Inc. Machine data is powerful It’s available to you now Machine data has immense and immediate value
- 16. Copyright © 2015 Splunk, Inc. Thank You
Editor's Notes
- We are nearing the dawn of a very interesting age. From robotics, to smart homes, to web-connected light bulbs, HVAC units, servers and routers—machines are in use everywhere. These machines have a lot to say, but what happens when you start listening? What things come to light and what new discoveries can you make? What questions can you now ask of your world? This session will explore machine to machine analytics as government organizations deploy more applications for their citizens and contend with an exploding Internet of Things.
- Data is growing and embodies new characteristics not found in traditional structured data: Volume, Velocity, Variety, Variability. Machine data is one of the fastest, growing, most complex and most valuable segments of big data. "Big data" is a term applied to these expanding data sets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. All the webservers, applications, network devices – all of the technology infrastructure running an enterprise or organization – generates massive streams of data, in an array of unpredictable formats that are difficult to process and analyze by traditional methods or in a timely manner. Why is this “machine data” valuable? Because it contains a trace - a categorical record - of user behavior, cyber-security risks, application behavior, service levels, fraudulent activity and customer experience.
- Physically, the data may look like streams of cryptic information, but it contains valuable information. Weather sensors may stream temperature, barometric pressure, and humidity information. Door swipes log the entry of employees to a facility. Wireless routers track user online access, and ez-pass reader monitor traffic flowing though [CITE CURRENT/BIGGEST CITY] midtown Manhattan. All of of this data is continually produced, but thousands of devices, and it can contain a blueprint to what is going on in the world around us.
- Currently, machine data is coming from every one of New York’s departments in one form or another. <animation> Add to that machine data from the general public, retail and manufacturing segments, and you have a treasure trove of information. But all of this data may as well be passing river water, if we don’t collect it. So where can can we get it from, and where are we getting it from now? Lets look at 6 examples of machine data being collected by various departments in major cities. Many of you in this room may be directly tied to some of these example – so please see me afterward with any corrections!
- Already, there are many city services collecting machine data. A few notable one include these: [ORIGINAL TEXT: Subway turnstiles, police cameras and license plate readers, traffic signal control systems, and the soon-to-be release LinkNYC pay-hone replacement.] [FOR TX, ADD/REPLACE WITH: License plate scanners/toll booths/tag readers HVAC Traffic light]
- Already, there are many city services collecting machine data. A few notable ones include: Noise & Vibration Monitor Data is automatically sent to a compliance website Provides e-mail alerts, reports, and warnings of excessive noise or vibration The monitoring system includes four (4) noise and five (5) vibration monitors placed along the perimeter of the WTC site in Lower Manhattan. ButterJAM established a web interface which queries noise and vibration monitoring databases within the off-site server. The data is automatically sent to an innovative compliance website which displays appropriate data and allows access by authorized users. The system provides e-mail alerts, warning of any noise or vibration limit exceedance or equipment malfunction. In addition, the system automatically generates reports and directly e-mails reports to authorized personnel. Source: http://www.invisibleboxes.info/noise-monitoring-terminal/
- Already, there are many city services collecting machine data. A few notable one include these: These grey boxes are attached to the exterior of over 800,000 buildings across New York City. They are Meter Transmission Units, manufactured by Aclara (owned by ESCO technologies of St Louis, Missouri) and part of a 2008 New York City Department of Environmental Protection (DEP) program titled “Citywide Advanced Metering Infrastructure Program.” They transmit data from meter sensors inside the building to nearby Network Data Collectors, which in turn send it to the DEP for more accurate billing compared to estimating bills based on irregular manual meter readings, and near-real-time leak alerts for building owners. Source: http://www.invisibleboxes.info/water-meter-transmission-unit/
- Already, there are many city services collecting machine data. A few notable one include these: This device on a lamppost at an intersection is an “Encompass 4” RFID reader manufactured by TransCore of Pennsylvania. It is used to sense E-ZPass transponders in passing vehicles as part of the City and State Departments of Transportation and the NYCDOITT “Midtown in Motion” program. Although E-ZPass is primarily used for toll-collection across the Northeast, these sensors track traffic flow in midtown Manhattan, allowing traffic signals to respond to changing conditions. Data viewed at NYC-DOT’s Traffic Management Center in Long Island Source: http://www.invisibleboxes.info/encompass/
- Security Monitoring Intelligent decision making Alerting Reporting OLD CONTENT: Web analytics insights Improving citizen self-service Monitoring busiest usage time for resource allocation Analyzing form abandonment rate 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 optimze 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.
- CHOOSE MAJOR EVENT IN YOUR CITY MA: PATRIOTS GAME? TX: SXSW/ACL OR RODEO CHICAGO: OBAMA COMING HOME? If a street is closed: How will traffic be affected? How will parking revenue be impacted? How should busses be rerouted? How do we measure the effectiveness of our decisions in real-time? SXSW/ACL – city of austin/travis county – picture Generic rodeo picture – houston – police officer upset w/ people and lobbed stun grenade at rodeo - caught
- So what do most organizations do with all of this Machine data? IT security of course! But today we’ll be exploring a bunch of other use cases, all of which could be implemented today by one department or another in this room. ----------------- OLD CONTENT – JUST FOR BACKGROUND ON BORROWED SLIDE For years, state & local government has been aggregating and storing the massive amounts of data they collect, all resting on the promise that someday the information will be valuable. Now is the time for agencies to capitalize on their data. The technology now exists to quickly process and analyze data. Organizations can finally derive value from their data lakes as well as from their machine data, or data that is created without the intervention of humans, from transactions, APIs, call centers, sensors, and more.