This document discusses machine data and its value. It defines machine data as logs and usage data produced by computers, network devices, sensors, and other electronic devices. It notes that machine data comes from many sources, including applications, websites, consumer electronics, industrial equipment, sensors, and more. The document addresses common barriers to accessing machine data and suggests using a platform that can collect, store, and analyze data from any source in real time. It provides examples of how machine data is used from traffic management to regulatory compliance to improved government services. The overall message is that machine data has great potential value and is ready to be tapped into by the reader.
This presentation takes a look at how organizations are adopting analytics and business intelligence in order to increase responsiveness, reduce operational costs, and improve asset integrity.
Fecsolution ( Farra Ekatama Solusi.PT ) di dirikan pada tahun 2011, yang merupakan perusahaan pelayanan jasa dan konsultasi yang bergerak dalam Bidang Teknologi Informasi dan Komunikasi ( TIK ),Sistem Integrator,IT Konsultan,Development Hardware & Software Berbasis Internet of Things dan Cloud Computing, adapun sistem atau aplikasi yang kami kembangkan adalah berdasarkan Riset dan Development serta analisa dari kebutuhan Pelanggan , kami terus berkreasi dan berinovasi Serta mengkalaborasikan Sistem yang sudah ada untuk mengembangkan Teknologi dan Sistem Informasi ke arah yang tepat guna.
Healthcare focused IOT technology is expected to be a $117 billion market by 2020 (a mere 5 Years out). A remarkable projection that is attracting a lot of big vendor focus as well as startup activity.
The feedback from the HC professionals I interviewed for this talk was that IoT for healthcare has to happen, is already happening, and the scale will be exponential. It will be embraced by the Boomers and Medicare. However, as I’ll get to, there will also be significant resistance from many quarters.
This presentation takes a look at how organizations are adopting analytics and business intelligence in order to increase responsiveness, reduce operational costs, and improve asset integrity.
Fecsolution ( Farra Ekatama Solusi.PT ) di dirikan pada tahun 2011, yang merupakan perusahaan pelayanan jasa dan konsultasi yang bergerak dalam Bidang Teknologi Informasi dan Komunikasi ( TIK ),Sistem Integrator,IT Konsultan,Development Hardware & Software Berbasis Internet of Things dan Cloud Computing, adapun sistem atau aplikasi yang kami kembangkan adalah berdasarkan Riset dan Development serta analisa dari kebutuhan Pelanggan , kami terus berkreasi dan berinovasi Serta mengkalaborasikan Sistem yang sudah ada untuk mengembangkan Teknologi dan Sistem Informasi ke arah yang tepat guna.
Healthcare focused IOT technology is expected to be a $117 billion market by 2020 (a mere 5 Years out). A remarkable projection that is attracting a lot of big vendor focus as well as startup activity.
The feedback from the HC professionals I interviewed for this talk was that IoT for healthcare has to happen, is already happening, and the scale will be exponential. It will be embraced by the Boomers and Medicare. However, as I’ll get to, there will also be significant resistance from many quarters.
If you didn't see the Internet of Things(I.o.T) coming, then you missed to see it in certain movies, series & cartoon. It had been coming, now it's here!
Urban data is the mosaic of street-by-street, minute-byminute information that makes up a city’s digital twin. It includes mapping how people use urban areas, the mix of traffic on the roads, the hyper-local air quality and noise levels. This data is incredibly valuable for designing better urban infrastructure, delivering more efficient services, and making everything more transparent to empower citizens.
The use of urban data has been limited by two barriers. The first is the high cost of single-purpose imaging sensors and the related cost of moving raw imaging data to the cloud. The second is the need for a trust infrastructure to apply best-practice privacy policies to data and provide transparency for citizens on how that data is protected and used. This session will highlight a new approach to harnessing the power of urban data, using streetlight infrastructure. The Urban Data Project is a group of tech companies, municipalities and thought leaders. The results of this collaboration are currently being deployed by Smart Cambridge and the initial results will be shared in the presentation.
by David Orchard, Telensa
Royse AgTech offers a round table discussion with several prominent silicon valley agtech industry expert about emerging and promising Agtech advancements. (08/2016)
What to consider when integrating energy into Facilities ManagementeSightEnergy
"What to consider when integrating energy into Facilities Management" - Delivered by UK Sales Manager Dean Noden at the Facilities Management event, March 2015.
Guest Lecture on IOT for Taylor's University (April 15, 2015) - Things that are connected to the Internet can be smarter than you think. There can be embedded intelligence to the device but there are time, a higher processing power is required in the cloud. But when you aggregate various kinds of data from multiple sources, it will bring better insights that you might not have the ability to find out if its data resides in silos. To build smarter world, we need smarter people to make it work.
If you have somehow missed the hype, the Internet of Things (IoT) is a fast-growing constellation of internet-connected sensors attached to a wide variety of 'things'. Sensors can take a multitude of possible measurements, Internet connections can be wired or wireless, while 'things' can literally be any object to which you can attach or embed a sensor. If you carry a smartphone, for example, you become a multi-sensor IoT 'thing', and many of your day-to-day activities can be tracked, analysed and acted upon.
Many of the conversations taking place around the IoT are incomplete without a mention of big data. Big data is characterised by “4 V’s”: volume, variety, velocity and veracity. That is, big data comes in large amounts (volume), is a mixture of structured and unstructured information (variety), arrives at (often real-time) speed (velocity) and can be different levels of uncertainty (veracity).
As organizations step into IoT, they must understand the symbiotic relationship between IoT and big data. Just like with any big-data play, merely collecting the data isn't enough. The data must be processed and analyzed to derive meaningful insights, and those insights must drive actionable steps that can improve the business.
What that means is that, without Big Data, the IoT can offer an enterprise little more than noise. But wait…! On the other hand, without IoT, the Big Data is little more than any other software lying idle. Actually you need two to Tango. That’s when you get the perfect marriage!
This deck presents some basic concepts of IoT and some more advanced concepts, reviews the current market players and future of IoT as well as the key ingredients and architecture for success.
Is it harder to find a taxi when it is raining? Wilfried Hoge
Using open data to answer the question if it is harder to find a taxi, when it is raining. Live demo of analyzing taxi data with DashDB, R, and Bluemix.
Presented on data2day conference.
More and more people in mega cities, more sensors, more apps, Smart is everywhere for smart living. but what's about security, what's about the people. How to deliver better living, happy living. HPE provides IoT solutions with connectivity management, processing at the edge and in the cloud, security, data management, etc to help industry verticals, telecom operators deliver secured trusted IoT solutions
If you didn't see the Internet of Things(I.o.T) coming, then you missed to see it in certain movies, series & cartoon. It had been coming, now it's here!
Urban data is the mosaic of street-by-street, minute-byminute information that makes up a city’s digital twin. It includes mapping how people use urban areas, the mix of traffic on the roads, the hyper-local air quality and noise levels. This data is incredibly valuable for designing better urban infrastructure, delivering more efficient services, and making everything more transparent to empower citizens.
The use of urban data has been limited by two barriers. The first is the high cost of single-purpose imaging sensors and the related cost of moving raw imaging data to the cloud. The second is the need for a trust infrastructure to apply best-practice privacy policies to data and provide transparency for citizens on how that data is protected and used. This session will highlight a new approach to harnessing the power of urban data, using streetlight infrastructure. The Urban Data Project is a group of tech companies, municipalities and thought leaders. The results of this collaboration are currently being deployed by Smart Cambridge and the initial results will be shared in the presentation.
by David Orchard, Telensa
Royse AgTech offers a round table discussion with several prominent silicon valley agtech industry expert about emerging and promising Agtech advancements. (08/2016)
What to consider when integrating energy into Facilities ManagementeSightEnergy
"What to consider when integrating energy into Facilities Management" - Delivered by UK Sales Manager Dean Noden at the Facilities Management event, March 2015.
Guest Lecture on IOT for Taylor's University (April 15, 2015) - Things that are connected to the Internet can be smarter than you think. There can be embedded intelligence to the device but there are time, a higher processing power is required in the cloud. But when you aggregate various kinds of data from multiple sources, it will bring better insights that you might not have the ability to find out if its data resides in silos. To build smarter world, we need smarter people to make it work.
If you have somehow missed the hype, the Internet of Things (IoT) is a fast-growing constellation of internet-connected sensors attached to a wide variety of 'things'. Sensors can take a multitude of possible measurements, Internet connections can be wired or wireless, while 'things' can literally be any object to which you can attach or embed a sensor. If you carry a smartphone, for example, you become a multi-sensor IoT 'thing', and many of your day-to-day activities can be tracked, analysed and acted upon.
Many of the conversations taking place around the IoT are incomplete without a mention of big data. Big data is characterised by “4 V’s”: volume, variety, velocity and veracity. That is, big data comes in large amounts (volume), is a mixture of structured and unstructured information (variety), arrives at (often real-time) speed (velocity) and can be different levels of uncertainty (veracity).
As organizations step into IoT, they must understand the symbiotic relationship between IoT and big data. Just like with any big-data play, merely collecting the data isn't enough. The data must be processed and analyzed to derive meaningful insights, and those insights must drive actionable steps that can improve the business.
What that means is that, without Big Data, the IoT can offer an enterprise little more than noise. But wait…! On the other hand, without IoT, the Big Data is little more than any other software lying idle. Actually you need two to Tango. That’s when you get the perfect marriage!
This deck presents some basic concepts of IoT and some more advanced concepts, reviews the current market players and future of IoT as well as the key ingredients and architecture for success.
Is it harder to find a taxi when it is raining? Wilfried Hoge
Using open data to answer the question if it is harder to find a taxi, when it is raining. Live demo of analyzing taxi data with DashDB, R, and Bluemix.
Presented on data2day conference.
More and more people in mega cities, more sensors, more apps, Smart is everywhere for smart living. but what's about security, what's about the people. How to deliver better living, happy living. HPE provides IoT solutions with connectivity management, processing at the edge and in the cloud, security, data management, etc to help industry verticals, telecom operators deliver secured trusted IoT solutions
DEVNET-1145 How APIs are Driving City DigitizationCisco DevNet
Smart-city solutions connected over an intelligent network platform are the foundation for city digitization. Cisco now offers application program interface (API) tools for developers to create applications for smart cities that frame and focus big-data streams, delivering relevant and timely content to improve city operations and enhance daily life. See how select visionary cities are already working with Cisco to leverage Smart+Connected Communities solutions and how an enormous opportunity now exists to develop applications that transform the data into useful information for city leaders, businesses, citizens and visitors as well as for use in other city processes. Cities are attracting new businesses and entrepreneurs and generating an economic boom in application development to meet urban service requirements of every stripe in cities today and broadly drive city digitization.
We are nearing the dawn of a very interesting age. From robotics, to smart homes, to web-connected lightbulbs, 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 the vast use cases where we have asked: Can I get data from that thing? If I can, what can it tell me? What happens if I Splunk it?
Oracle Digital Business Transformation and Internet of Things by Ermin PrašovićBosnia Agile
This session discuss solutions and Oracle strategy to support digital transformation for companies interested in their business transformation path as well as how to allign with modern trends brought by digitalization. Second part of this session discuss news Oracle has in its offer for the Internet of Things (IoT) services and including solutions based on IoT.
.conf Go 2023 - Das passende Rezept für die digitale (Security) Revolution zu...Splunk
.conf Go 2023 presentation:
"Das passende Rezept für die digitale (Security) Revolution zur Telematik Infrastruktur 2.0 im Gesundheitswesen?"
Speaker: Stefan Stein -
Teamleiter CERT | gematik GmbH M.Eng. IT-Sicherheit & Forensik,
doctorate student at TH Brandenburg & Universität Dresden
.conf Go 2023 presentation:
De NOC a CSIRT
Speakers:
Daniel Reina - Country Head of Security Cellnex (España) & Global SOC Manager Cellnex
Samuel Noval - Global CSIRT Team Leader, Cellnex
Splunk - BMW connects business and IT with data driven operations SRE and O11ySplunk
BMW is defining the next level of mobility - digital interactions and technology are the backbone to continued success with its customers. Discover how an IT team is tackling the journey of business transformation at scale whilst maintaining (and showing the importance of) business and IT service availability. Learn how BMW introduced frameworks to connect business and IT, using real-time data to mitigate customer impact, as Michael and Mark share their experience in building operations for a resilient future.
Data foundations building success, at city scale – Imperial College LondonSplunk
Universities have more in common with modern cities than traditional places of learning. This mini city needs to empower its citizens to thrive and achieve their ambitions. Operationalising data is key to building critical services; from understanding complex IT estates for smarter decision-making to robust security and a more reliable, resilient student experience. Juan will share his experience in building data foundations for a resilient future whilst enabling digital transformation at Imperial College London.
Splunk: How Vodafone established Operational Analytics in a Hybrid Environmen...Splunk
Learn how Vodafone has provided end-to-end visibility across services by building an Operational Analytics Platform. In this session, you will hear how Stefan and his team manage legacy, on premise, hybrid and public cloud services, and how they are providing a platform for complex triage and debugging to tackle use cases across Vodafone’s extensive ecosystem.
.italo operates an Essential Service by connecting more than 100 million people annually across Italy with its super fast and secure railway. And CISO Enrico Maresca has been on a whirlwind journey of his own.
Formerly a Cyber Security Engineer, Enrico started at .italo as an IT Security Manager. One year later, he was promoted to CISO and tasked with building out – and significantly increasing the maturity level – of the SOC. The result was a huge step forward for .italo.
So how did he successfully achieve this ambitious ask? Join Enrico as he reveals the key insights and lessons learned in his SOC journey, including:
Top challenges faced in improving security posture
Key KPIs implemented in order to measure success
Strategies and approaches applied in the SOC
How MITRE ATT&CK and Splunk Enterprise Security were utilised
Next steps in their maturity journey ahead
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
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With the advent of artificial intelligence or AI tools, project management processes are undergoing a transformative shift. By using tools like ChatGPT, and Bard organizations can empower their leaders and managers to plan, execute, and monitor projects more effectively.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTier1 app
Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
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See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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.
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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.