Presentation by Rahul Deshmukh, Director, Digital Intelligence, Splunk & Joe Brown, Director Digital Analytics, Lincoln Financial Group
What happens when you collect the richest data possible from your web and mobile apps, enrich it with other relevant digital data and leverage a platform designed for real-time, ad-hoc analysis?
Slides for the webinar presented by Risk Focus on automating large scale Splunk deployments with Cloud Orchestration.
More details available here:
http://cloudify.co/webinar/Automating-Splunk-Large-Scale
Empower Splunk and other SIEMs with the Databricks Lakehouse for CybersecurityDatabricks
Cloud, Cost, Complexity, and threat Coverage are top of mind for every security leader. The Lakehouse architecture has emerged in recent years to help address these concerns with a single unified architecture for all your threat data, analytics and AI in the cloud. In this talk, we will show how Lakehouse is essential for effective Cybersecurity and popular security use-cases. We will also share how Databricks empowers the security data scientist and analyst of the future and how this technology allows cyber data sets to be used to solve business problems.
Visão geral sobre a solução iDefense da VeriSign de resposta a incidentes em tempo real, remediação de fraudes on-line, gerenciamento de riscos, conhecimentos dos impactos globais das ameaças, proteção proativa, entre outros benefícios.
2016 Cybersecurity Analytics State of the UnionCloudera, Inc.
3 Things to Learn About:
-Ponemon Institute's 2016 big data cybersecurity analytics research report
-Quantifiable returns organizations are seeing with big data cybersecurity analytics
-Trends in the industry that are affecting cybersecurity strategies
Big Data Real Time Analytics - A Facebook Case StudyNati Shalom
Building Your Own Facebook Real Time Analytics System with Cassandra and GigaSpaces.
Facebook's real time analytics system is a good reference for those looking to build their real time analytics system for big data.
The first part covers the lessons from Facebook's experience and the reason they chose HBase over Cassandra.
In the second part of the session, we learn how we can build our own Real Time Analytics system, achieve better performance, gain real business insights, and business analytics on our big data, and make the deployment and scaling significantly simpler using the new version of Cassandra and GigaSpaces Cloudify.
Increase your ROI with Hadoop in Six Months - Presented by Dell, Cloudera and...Cloudera, Inc.
Are you struggling to validate the added costs of a Hadoop implementation? Are you struggling to manage your growing data?
The costs of implementing Hadoop may be more beneficial than you anticipate. Dell and Intel recently commissioned a study with Forrester Research to determine the Total Economic Impact of the Dell | Cloudera Apache Hadoop Solution, accelerated by Intel. The study determined customers can see a 6-month payback when implementing the Dell | Cloudera solution.
Join Dell, Intel and Cloudera, three big data market leaders, to understand how to begin a simplified and cost-effective big data journey and to hear case studies that demonstrate how users have benefited from the Dell | Cloudera Apache Hadoop Solution.
Slides for the webinar presented by Risk Focus on automating large scale Splunk deployments with Cloud Orchestration.
More details available here:
http://cloudify.co/webinar/Automating-Splunk-Large-Scale
Empower Splunk and other SIEMs with the Databricks Lakehouse for CybersecurityDatabricks
Cloud, Cost, Complexity, and threat Coverage are top of mind for every security leader. The Lakehouse architecture has emerged in recent years to help address these concerns with a single unified architecture for all your threat data, analytics and AI in the cloud. In this talk, we will show how Lakehouse is essential for effective Cybersecurity and popular security use-cases. We will also share how Databricks empowers the security data scientist and analyst of the future and how this technology allows cyber data sets to be used to solve business problems.
Visão geral sobre a solução iDefense da VeriSign de resposta a incidentes em tempo real, remediação de fraudes on-line, gerenciamento de riscos, conhecimentos dos impactos globais das ameaças, proteção proativa, entre outros benefícios.
2016 Cybersecurity Analytics State of the UnionCloudera, Inc.
3 Things to Learn About:
-Ponemon Institute's 2016 big data cybersecurity analytics research report
-Quantifiable returns organizations are seeing with big data cybersecurity analytics
-Trends in the industry that are affecting cybersecurity strategies
Big Data Real Time Analytics - A Facebook Case StudyNati Shalom
Building Your Own Facebook Real Time Analytics System with Cassandra and GigaSpaces.
Facebook's real time analytics system is a good reference for those looking to build their real time analytics system for big data.
The first part covers the lessons from Facebook's experience and the reason they chose HBase over Cassandra.
In the second part of the session, we learn how we can build our own Real Time Analytics system, achieve better performance, gain real business insights, and business analytics on our big data, and make the deployment and scaling significantly simpler using the new version of Cassandra and GigaSpaces Cloudify.
Increase your ROI with Hadoop in Six Months - Presented by Dell, Cloudera and...Cloudera, Inc.
Are you struggling to validate the added costs of a Hadoop implementation? Are you struggling to manage your growing data?
The costs of implementing Hadoop may be more beneficial than you anticipate. Dell and Intel recently commissioned a study with Forrester Research to determine the Total Economic Impact of the Dell | Cloudera Apache Hadoop Solution, accelerated by Intel. The study determined customers can see a 6-month payback when implementing the Dell | Cloudera solution.
Join Dell, Intel and Cloudera, three big data market leaders, to understand how to begin a simplified and cost-effective big data journey and to hear case studies that demonstrate how users have benefited from the Dell | Cloudera Apache Hadoop Solution.
Preparing for the Cybersecurity RenaissanceCloudera, Inc.
We are in the midst of a fundamental shift in the way in which organizations protect themselves from the modern adversary.
Traditional rules based cybersecurity applications of the past are not able to protect organizations in the new mobile, social, and hyper-connected world they now operate within. However, the convergence of big data technology, analytic advancements, and a variety of other factors have sparked a cybersecurity renaissance that will forever change the way in which organizations protect themselves.
Join Rocky DeStefano, Cloudera's Cybersecurity subject matter expert, as he explores how modern organizations are protecting themselves from more frequent, sophisticated attacks.
During this webinar you will learn about:
The current challenges cybersecurity professionals are facing today
How big data technologies are extending the capabilities of cybersecurity applications
Cloudera customers that are future proofing their cybersecurity posture with Cloudera’s next generation data and analytics management system
In the age of IoT, most everyone is talking about data lakes. For the most part, we all agree on the value data lakes deliver, but beyond this conceptual agreement, there are still many practical questions that need answers. The key to success comes down to how data lakes are implemented and managed.
Chuck Yarbrough outlines the 5 keys for creating a data lake along with strategies for defining, ingesting, governing, managing, and analyzing the data lake in ways that will enable transformative benefits in Iot and other use cases. This session will show and share how real-world data lake implementations are changing the world. Chuck focuses on automation of the data lake from ingesting data to managing metadata at scale and applying machine learning to drive significant results. Along the way, Chuck explores tools and procedures that help create a well-organized, -governed, and -managed data lake—without the risk of creating a dreaded data swamp. You’ll leave armed with the five keys to successfully creating and managing a killer data lake.
Necessity of Data Lakes in the Financial Services SectorDataWorks Summit
With the emergence of regulations such as the General Data Protection Regulation from the European Union (effective May 2018), with fines up to 20m Euro, Data Lakes are emerging as the data architecture of choice amongst financial institutions. Banks are embarking on a journey to enable data scientists to unlock the value of the data silo'ed in many disparate data systems. By enabling self service data access and merging multiple streams of data by using data clustering, entity extraction, identity resolution and other techniques - we will show how banks have used Analytics to uncover business value without falling into the abyss of data swamps. The build out of the data lake requires the ingestion of data from multiple operational systems . By leveraging an automated Data Cataloging service, organizations are able to search, profile, discover, tag, track lineage and capture tribal knowledge delivered on the FICO Analytics Cloud enabling the data scientists to build innovative models, make automated decisions, track fraudulent usage, make intelligent marketing campaigns and improve the top line and bottom line for the financial institution.
Speaker:
Rohit Valia, Product Management and Strategy, Fico
Enterprise Data Hub: The Next Big Thing in Big DataCloudera, Inc.
If you missed Strata + Hadoop World, you missed quite a bit. This year's event was packed with Big Data practitioners across industries who shared their experiences and how they are driving new innovations like never before. Just because you weren't there, doesn't mean you missed out.
In this session, we'll touch on a few of the key highlights from the show, including:
Key trends in Big Data adoption
The enterprise data hub
How the enterprise data hub is used in practice
Big Data Applications | Big Data Analytics Use-Cases | Big Data Tutorial for ...Edureka!
( ** Hadoop Training: https://www.edureka.co/hadoop ** )
This Edureka tutorial on "Big Data Applications" will explain various how Big Data analytics can be used in various domains. Following are the topics included in this tutorial:
1. Why do we need Big Data Analytics?
2. Big Data Applications in Health Care.
3. Big Data in Real World Clinical Analytics.
4. Big Data Analytics in Education Sector.
5. IBM Case Study in Education Section.
6. Big data applications and use cases in E-Commerce.
7. How Government uses Big Data analytics?
8. How Big data is helpful in E-Government Portal?
9. Big Data in IOT.
10. Smart city concept.
11. Big Data analytics in Media and Entertainment
12. Netflix example in Big data
13. Future Scope of Big data.
Check our complete Hadoop playlist here: https://goo.gl/hzUO0m
Gain New Insights by Analyzing Machine Logs using Machine Data Analytics and BigInsights.
Half of Fortune 500 companies experience more than 80 hours of system down time annually. Spread evenly over a year, that amounts to approximately 13 minutes every day. As a consumer, the thought of online bank operations being inaccessible so frequently is disturbing. As a business owner, when systems go down, all processes come to a stop. Work in progress is destroyed and failure to meet SLA’s and contractual obligations can result in expensive fees, adverse publicity, and loss of current and potential future customers. Ultimately the inability to provide a reliable and stable system results in loss of $$$’s. While the failure of these systems is inevitable, the ability to timely predict failures and intercept them before they occur is now a requirement.
A possible solution to the problem can be found is in the huge volumes of diagnostic big data generated at hardware, firmware, middleware, application, storage and management layers indicating failures or errors. Machine analysis and understanding of this data is becoming an important part of debugging, performance analysis, root cause analysis and business analysis. In addition to preventing outages, machine data analysis can also provide insights for fraud detection, customer retention and other important use cases.
Modernizing to a Cloud Data ArchitectureDatabricks
Organizations with on-premises Hadoop infrastructure are bogged down by system complexity, unscalable infrastructure, and the increasing burden on DevOps to manage legacy architectures. Costs and resource utilization continue to go up while innovation has flatlined. In this session, you will learn why, now more than ever, enterprises are looking for cloud alternatives to Hadoop and are migrating off of the architecture in large numbers. You will also learn how elastic compute models’ benefits help one customer scale their analytics and AI workloads and best practices from their experience on a successful migration of their data and workloads to the cloud.
Building a Real-Time Security Application Using Log Data and Machine Learning...Sri Ambati
Building a Real-Time Security Application Using Log Data and Machine Learning- Karthik Aaravabhoomi
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
Freddie Mac makes homeownership and rental housing more accessible and affordable. Operating in the secondary mortgage market, we keep mortgage capital flowing by purchasing mortgage loans from lenders so they in turn can provide more loans to qualified borrowers. Our mission to provide liquidity, stability, and affordability to the U.S. housing market in all economic conditions extends to all communities from coast to coast.
We're using big data and advanced analytics to create powerful enhancements to better meet our customer’s needs: automated collateral evaluation, automated assessments for borrowers without credit scores, immediate certainty for collateral rep and warranty relief, and coming soon automated asset and income validation.
We’re building tools to help our customers cut costs and give them rep and warranty relief sooner in the loan manufacturing process.
We’ve designed Loan Advisor Suite with lenders to give our customers greater certainty, usability, reliability and efficiency. It's a simpler, better way to do business.
More Tools - Access powerful solutions for every stage of the loan production process.
More Loans - Increase output with automated data management and user-friendly controls.
Less Risk = Get alerted to loan issues and take action the moment they occur.
Hear the story of how ACE helped Freddie Mac reimagine the mortgage process and how HDP helped make it possible.
Speaker
Dennis Tally, Freddie Mac, Director
Making Big Data Analytics with Hadoop fast & easy (webinar slides)Yellowfin
Looking to analyze your Big Data assets to unlock real business benefits today? But, are you sick of all the theories, hype and whoopla?
View these slides from Actian and Yellowfin’s "Big Data Analytics with Hadoop" Webinar to discover how we’re making Big Data Analytics fast and easy.
Hold on as we go from data in Hadoop to dashboard in just 40-minutes.
Learn how to combine Hadoop with the most advanced Big Data technologies, and world’s easiest BI solution, to quickly generate real business value from Big Data Analytics.
Watch as we use live CDR data stored in Hadoop – quickly connecting, preparing, optimizing and analyzing this data in a tangible real-world use case from the telecommunications industry – to easily deliver actionable insights to anyone, anywhere, anytime.
To learn more about Yellowfin, and to try its intuitive Business Intelligence platform today, go here: http://www.yellowfinbi.com
To learn more about Actian, and its next generation suite of Big Data technologies, go here: http://www.actian.com/
Big data expert and Infochimps CEO, Jim Kaskade presents the Infinite Monkey Theorem at CloudCon Expo. He provides an energetic, inspiring, and practical perspective on why Big Data is disrupting. It’s more than historic data analyzed on Hadoop. It’s also more than real-time streaming data stored and queried using NoSQL. Learn more at www.Infochimps.com
1.Introduction
2.Overview
3.Why Big Data
4.Application of Big Data
5.Risks of Big Data
6.Benefits & Impact of Big Data
7.Conclusion
‘Big Data’ is similar to ‘small data’, but bigger in size
But having data bigger it requires different approaches:
Techniques, tools and architecture
An aim to solve new problems or old problems in a better
way
Big Data generates value from the storage and processing
of very large quantities of digital information that cannot be
analyzed with traditional computing techniques.
Google Analytics Premium for Better Data-Driven Decisions With Swapnil SinhaTatvic Analytics
Google Analytics Premium is basically everything you love about Google Analytics along with More Power, Better Support and Faster Insights. You get access to 200 custom dimensions & metrics, unsampled reports, bigquery export, multi channel attribution modelling, access to data in 4 hours or less & much more.
Join Swapnil Sinha (Head of Conversion, Google India) to learn how enterprises can use Google Analytics Premium to make better data-driven decisions.
You'll Learn:
* What is GA Premium
* Difference between Standard & Premium Version
* Who Should Use Google Analytics Premium?
* Key Features & Applications of Google Analytics Premium
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.
Preparing for the Cybersecurity RenaissanceCloudera, Inc.
We are in the midst of a fundamental shift in the way in which organizations protect themselves from the modern adversary.
Traditional rules based cybersecurity applications of the past are not able to protect organizations in the new mobile, social, and hyper-connected world they now operate within. However, the convergence of big data technology, analytic advancements, and a variety of other factors have sparked a cybersecurity renaissance that will forever change the way in which organizations protect themselves.
Join Rocky DeStefano, Cloudera's Cybersecurity subject matter expert, as he explores how modern organizations are protecting themselves from more frequent, sophisticated attacks.
During this webinar you will learn about:
The current challenges cybersecurity professionals are facing today
How big data technologies are extending the capabilities of cybersecurity applications
Cloudera customers that are future proofing their cybersecurity posture with Cloudera’s next generation data and analytics management system
In the age of IoT, most everyone is talking about data lakes. For the most part, we all agree on the value data lakes deliver, but beyond this conceptual agreement, there are still many practical questions that need answers. The key to success comes down to how data lakes are implemented and managed.
Chuck Yarbrough outlines the 5 keys for creating a data lake along with strategies for defining, ingesting, governing, managing, and analyzing the data lake in ways that will enable transformative benefits in Iot and other use cases. This session will show and share how real-world data lake implementations are changing the world. Chuck focuses on automation of the data lake from ingesting data to managing metadata at scale and applying machine learning to drive significant results. Along the way, Chuck explores tools and procedures that help create a well-organized, -governed, and -managed data lake—without the risk of creating a dreaded data swamp. You’ll leave armed with the five keys to successfully creating and managing a killer data lake.
Necessity of Data Lakes in the Financial Services SectorDataWorks Summit
With the emergence of regulations such as the General Data Protection Regulation from the European Union (effective May 2018), with fines up to 20m Euro, Data Lakes are emerging as the data architecture of choice amongst financial institutions. Banks are embarking on a journey to enable data scientists to unlock the value of the data silo'ed in many disparate data systems. By enabling self service data access and merging multiple streams of data by using data clustering, entity extraction, identity resolution and other techniques - we will show how banks have used Analytics to uncover business value without falling into the abyss of data swamps. The build out of the data lake requires the ingestion of data from multiple operational systems . By leveraging an automated Data Cataloging service, organizations are able to search, profile, discover, tag, track lineage and capture tribal knowledge delivered on the FICO Analytics Cloud enabling the data scientists to build innovative models, make automated decisions, track fraudulent usage, make intelligent marketing campaigns and improve the top line and bottom line for the financial institution.
Speaker:
Rohit Valia, Product Management and Strategy, Fico
Enterprise Data Hub: The Next Big Thing in Big DataCloudera, Inc.
If you missed Strata + Hadoop World, you missed quite a bit. This year's event was packed with Big Data practitioners across industries who shared their experiences and how they are driving new innovations like never before. Just because you weren't there, doesn't mean you missed out.
In this session, we'll touch on a few of the key highlights from the show, including:
Key trends in Big Data adoption
The enterprise data hub
How the enterprise data hub is used in practice
Big Data Applications | Big Data Analytics Use-Cases | Big Data Tutorial for ...Edureka!
( ** Hadoop Training: https://www.edureka.co/hadoop ** )
This Edureka tutorial on "Big Data Applications" will explain various how Big Data analytics can be used in various domains. Following are the topics included in this tutorial:
1. Why do we need Big Data Analytics?
2. Big Data Applications in Health Care.
3. Big Data in Real World Clinical Analytics.
4. Big Data Analytics in Education Sector.
5. IBM Case Study in Education Section.
6. Big data applications and use cases in E-Commerce.
7. How Government uses Big Data analytics?
8. How Big data is helpful in E-Government Portal?
9. Big Data in IOT.
10. Smart city concept.
11. Big Data analytics in Media and Entertainment
12. Netflix example in Big data
13. Future Scope of Big data.
Check our complete Hadoop playlist here: https://goo.gl/hzUO0m
Gain New Insights by Analyzing Machine Logs using Machine Data Analytics and BigInsights.
Half of Fortune 500 companies experience more than 80 hours of system down time annually. Spread evenly over a year, that amounts to approximately 13 minutes every day. As a consumer, the thought of online bank operations being inaccessible so frequently is disturbing. As a business owner, when systems go down, all processes come to a stop. Work in progress is destroyed and failure to meet SLA’s and contractual obligations can result in expensive fees, adverse publicity, and loss of current and potential future customers. Ultimately the inability to provide a reliable and stable system results in loss of $$$’s. While the failure of these systems is inevitable, the ability to timely predict failures and intercept them before they occur is now a requirement.
A possible solution to the problem can be found is in the huge volumes of diagnostic big data generated at hardware, firmware, middleware, application, storage and management layers indicating failures or errors. Machine analysis and understanding of this data is becoming an important part of debugging, performance analysis, root cause analysis and business analysis. In addition to preventing outages, machine data analysis can also provide insights for fraud detection, customer retention and other important use cases.
Modernizing to a Cloud Data ArchitectureDatabricks
Organizations with on-premises Hadoop infrastructure are bogged down by system complexity, unscalable infrastructure, and the increasing burden on DevOps to manage legacy architectures. Costs and resource utilization continue to go up while innovation has flatlined. In this session, you will learn why, now more than ever, enterprises are looking for cloud alternatives to Hadoop and are migrating off of the architecture in large numbers. You will also learn how elastic compute models’ benefits help one customer scale their analytics and AI workloads and best practices from their experience on a successful migration of their data and workloads to the cloud.
Building a Real-Time Security Application Using Log Data and Machine Learning...Sri Ambati
Building a Real-Time Security Application Using Log Data and Machine Learning- Karthik Aaravabhoomi
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
Freddie Mac makes homeownership and rental housing more accessible and affordable. Operating in the secondary mortgage market, we keep mortgage capital flowing by purchasing mortgage loans from lenders so they in turn can provide more loans to qualified borrowers. Our mission to provide liquidity, stability, and affordability to the U.S. housing market in all economic conditions extends to all communities from coast to coast.
We're using big data and advanced analytics to create powerful enhancements to better meet our customer’s needs: automated collateral evaluation, automated assessments for borrowers without credit scores, immediate certainty for collateral rep and warranty relief, and coming soon automated asset and income validation.
We’re building tools to help our customers cut costs and give them rep and warranty relief sooner in the loan manufacturing process.
We’ve designed Loan Advisor Suite with lenders to give our customers greater certainty, usability, reliability and efficiency. It's a simpler, better way to do business.
More Tools - Access powerful solutions for every stage of the loan production process.
More Loans - Increase output with automated data management and user-friendly controls.
Less Risk = Get alerted to loan issues and take action the moment they occur.
Hear the story of how ACE helped Freddie Mac reimagine the mortgage process and how HDP helped make it possible.
Speaker
Dennis Tally, Freddie Mac, Director
Making Big Data Analytics with Hadoop fast & easy (webinar slides)Yellowfin
Looking to analyze your Big Data assets to unlock real business benefits today? But, are you sick of all the theories, hype and whoopla?
View these slides from Actian and Yellowfin’s "Big Data Analytics with Hadoop" Webinar to discover how we’re making Big Data Analytics fast and easy.
Hold on as we go from data in Hadoop to dashboard in just 40-minutes.
Learn how to combine Hadoop with the most advanced Big Data technologies, and world’s easiest BI solution, to quickly generate real business value from Big Data Analytics.
Watch as we use live CDR data stored in Hadoop – quickly connecting, preparing, optimizing and analyzing this data in a tangible real-world use case from the telecommunications industry – to easily deliver actionable insights to anyone, anywhere, anytime.
To learn more about Yellowfin, and to try its intuitive Business Intelligence platform today, go here: http://www.yellowfinbi.com
To learn more about Actian, and its next generation suite of Big Data technologies, go here: http://www.actian.com/
Big data expert and Infochimps CEO, Jim Kaskade presents the Infinite Monkey Theorem at CloudCon Expo. He provides an energetic, inspiring, and practical perspective on why Big Data is disrupting. It’s more than historic data analyzed on Hadoop. It’s also more than real-time streaming data stored and queried using NoSQL. Learn more at www.Infochimps.com
1.Introduction
2.Overview
3.Why Big Data
4.Application of Big Data
5.Risks of Big Data
6.Benefits & Impact of Big Data
7.Conclusion
‘Big Data’ is similar to ‘small data’, but bigger in size
But having data bigger it requires different approaches:
Techniques, tools and architecture
An aim to solve new problems or old problems in a better
way
Big Data generates value from the storage and processing
of very large quantities of digital information that cannot be
analyzed with traditional computing techniques.
Google Analytics Premium for Better Data-Driven Decisions With Swapnil SinhaTatvic Analytics
Google Analytics Premium is basically everything you love about Google Analytics along with More Power, Better Support and Faster Insights. You get access to 200 custom dimensions & metrics, unsampled reports, bigquery export, multi channel attribution modelling, access to data in 4 hours or less & much more.
Join Swapnil Sinha (Head of Conversion, Google India) to learn how enterprises can use Google Analytics Premium to make better data-driven decisions.
You'll Learn:
* What is GA Premium
* Difference between Standard & Premium Version
* Who Should Use Google Analytics Premium?
* Key Features & Applications of Google Analytics Premium
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.
Ways to Make Business Intelligence Work for Your Small BusinessSpiceworks
In this first 60-minute webinar in the series, Spiceworks and CDW team up to provide answers to your questions on business intelligence - a subject that's becoming increasingly important to small businesses.
Mohanbir Sawhney, Robert R. McCormick Tribune Foundation Clinical Professor of Technology Kellogg School of Management, Northwestern University presents at the 2012 Big Analytics Roadshow.
Companies are drinking from a fire hydrant of data that is too big, moving too fast and is too diverse to be analyzed by conventional database systems. Big Data is like a giant gold mine with large quantities of ore that is difficult to extract. To get value out of Big Data, enterprises need a new mindset and a new set of tools. They also need to know how to extract actionable insights from Big Data that can lead to competitive advantage. The Big Story of Big Data is not what Big Data is, but what it means for business value and competitive advantage.... read more: http://www.biganalytics2012.com/sessions.html#mohan_sawhney
Leveraging big data to drive marketing innovationAndrew Leone
Summary of the book: "The Big Data-Driven Company." Contains insights into leveraging data to drive marketing innovation. To buy this book: http://amzn.to/1YTdtqY
What is business intelligence and where it is applicable is described in this presentation. The subject is offered as elective to BE IT students of Pune University.
Overview of major factors in big data, analytics and data science. Illustrates the growing changes from data capture and the way it is changing business beyond technology industries.
Operationalizing Customer Analytics with Azure and Power BICCG
Many organizations fail to realize the value of data science teams because they are not effectively translating the analytic findings produced by these teams into quantifiable business results. This webinar demonstrates how to visualize analytic models like churn and turn their output into action. Senior Business Solution Architect, Mike Druta, presents methods for operationalizing analytic models produced by data science teams into a repeatable process that can be automated and applied continuously using Azure.
Deep.bi - Real-time, Deep Data Analytics Platform For EcommerceDeep.BI
Deep.bi It helps ecommerce teams improve their performance by providing current and detailed insights.
It bring operational excellence and performance for:
- Category Managers / Merchandisers
- Marketers
- Customer service
- UX / Design Team
- Tech / IT
- Executives / Managers
I have been drinking from a virtual fire hose since joining my most recent technology company, Anametrix, a cloud-based digital analytics innovator. A whole new book opened for me on how digital analytics can both increase top line revenue and reduce spend by shining a very bright flashlight into marketing efforts.
We are all painfully aware of the data explosion problem. In 2011, the Gartner Group stated that information volume collected by businesses today is growing at a minimum 59% annually. The rapid adoption of social media has also caused customer data to explode in the last few years, creating entirely new challenges for marketers. It is now imperative for organizations to think differently to accommodate the variety, volume, and velocity of their growing customer-related data.
This is where my recent experiences come in: I have personally seen how digital analytics can harness the power of massive amounts customer-related data. It can literally simplify the accelerating complexity by providing deep visibility – as well as clarity – into the effectiveness of various marketing efforts, across both online and offline channels.
I will now outline the role of IT and CFO in adopting cloud-based digital analytics solutions, discuss the benefits as well as challenges of moving to this emerging category, and provide some illustrative examples on how digital analytics can transform your marketing organization.
Presentation from the Markedsføringsdagen 2013 conference, june 12 2013 in Copenhagen. Contains an overview of trends, uses, challenges for the CMO and innovation aspects of big data.
2022 State of the CDP: Key Findings for Tackling the New Age of DataTealium
Given the changing customer data landscape, the question is no longer why do you need a Customer Data Platform (CDP), but instead, which one is best suited for your organization’s needs.
That’s why, in this webinar, we talked through key findings from our brand new 2022 State of the CDP report to help you prepare for the year ahead! In this report, we surveyed more than 1,000 marketing and business leaders globally to better understand how they’re planning to use a CDP in the coming year. We’ll also review key findings like:
- The top areas where executives believe technology will have the biggest impact this year
- Why 87% of marketers are expecting to increase tech spend in 2022
- Ways marketers are using a CDP to drive digital transformation and keep up with the trends in the landscape
Show Me You Care: Why You Should Be Talking About Privacy and Value-ExchangeTealium
This deck is from the fourth masterclass in our masterclass series on Preparing for Life Beyond the Third-Party Cookie.
We’re well into 2021 and data privacy has continued its push out of the InfoSec and legal team agenda and into the customer experience. Whether data privacy conversation takes the context of shifting consumer attitudes, new regulations or technology changes – the fact remains that privacy is now an integral piece of marketing and customer experience.
Check out this deck to discover:
- How privacy is driving changes in your advertising and measurement strategy
- Strategies to power privacy
- Key ways to build up customer trust with first-party data
Third-Party Cookie Loss Masterclass 3: Making Sense of the Changing Identity ...Tealium
This deck is from the third session in our masterclass series on Preparing for Life Beyond the Third-Party Cookie. In this presentation, we provide solutions for identifying customers without third-party cookies and clarify what is actually changing in terms of identity.
Be sure to check out the on-demand sessions at:
https://tealium.com/master-class-preparing-for-the-third-party-cookie-loss/
Third-Party Cookie Loss Masterclass 2: Dude, What About My DMP?Tealium
This deck is from the second session in our masterclass series on Preparing for Life Beyond the Third-Party Cookie. Discover what to do about your Data Management Platform (DMP) when third-party cookies have crumbled. We also share strategies you can start deploying today to help you stay ahead of the changes.
Be sure to check out the on-demand sessions at:
https://tealium.com/master-class-preparing-for-the-third-party-cookie-loss/
Third-Party Cookie Loss Masterclass 1: So Your Cookie Crumbled, What's Next?Tealium
This deck is from the first session in our masterclass series on Preparing for Life Beyond the Third-Party Cookie. Check it out to see actionable ways to start preparing today and tips for switching to a first-party data strategy.
Be sure to check out the on-demand sessions at:
https://tealium.com/master-class-preparing-for-the-third-party-cookie-loss/
Tasty Tech: 3 Proven Recipes for Increasing Loyalty and RetentionTealium
Customer data is the key ingredient to driving loyalty and retention. Why? Because you can only proactively identify and target high-risk and high-value customers when you have a complete and accurate picture of your relationship.
Digital Strategist, James Burnham shared ways to create digital experiences that keep your customers coming back for seconds. He also shared tips for:
- Reducing churn by driving proactive advertising for high risk customers
- Increasing engagement with customers who are most likely to purchase
- Using predictive insights to fuel loyalty campaigns
You can view the on-demand session on our website in our Resource Hub
Acquisition, Loyalty and Retention: How a CDP Creates Customers for LifeTealium
As more companies turn to digital-first customer engagement, brand loyalty continues to be tested. Consumers are eager to try new brands which means marketers have a unique opportunity to engage with consumers they might not have in the past. But what is the key to actually capturing and retaining these consumers?
In the second webinar in our Definitive Guide to CDPs series, Director of Product Marketing, Jacob Spencer, shared inspiring CDP use cases to create customers for life. Discover how a CDP can help you take advantage of this digital spike with the ability to:
- Find new customers without relying on third-party cookie tracking
- Uphold and adjust privacy preferences with access to consent data in real time
- Increase return on ad spend and click-through rates like the Utah Jazz!
You can view the on-demand session on our website in our Resource Hub
[Webinar] The Best Kept Marketing Secret to Achieving Complete Customer ViewsTealium
There’s no question that Customer Data Platforms are changing the way organizations engage with their customers. Truth be told, if this tool is missing from your martech stack, you’re probably missing out on crucial customer insights.
That’s why in the first webinar in our Guide to CDP Success series, Director of Product Marketing, Matt Parisi, explained how a CDP can be your greatest competitive advantage. We covered topics like:
- See how you can create dynamic customer identities for better segmentation
- Discover how a CDP provides your entire tech stack with unified data in real time
- Understand why this technology is critical to your current and future success
You can view the on-demand session on our website in our Resource Hub
[Webinar] How the Cookie Crumbled: Preparing for a Time without Third-Party C...Tealium
The loss of third-party cookies is rewriting the rules of digital marketing. Companies will have to rethink everything from ad spend and attribution to consumer privacy and measuring ROI. But not to worry – there are key ways to prepare for third-party cookie loss and it starts with first-party data.
Discover how switching to a first-party data strategy now will help you not only prepare for the loss of third-party cookies but also deliver more meaningful customer experiences. You’ll learn:
- How crumbling third-party cookies will affect your organization
- How brands can equip their internal teams to manage the upcoming change
- Tools that enable brands to become browser independent
- Tips to understand how to best collect, store and use your data
You can view the on-demand session on our website in our Resource Hub
Digital Velocity London 2018 - How to drive personalisation at a global B2B c...Tealium
Korbinian Spann, W. L. Gore & Associates (the GORE-TEX® company) presents the necessary steps to realize a framework for personalisation within a global B2B company. In this case, a relaunch of the analytics and tracking infrastructure was the beginning of the transformation.
Examples in relation to the outdoor industry are provided to demonstrate the implementation of a technical infrastructure and the development cycle for designing and creating user stories in a global context.
This session specifies a robust multi-channel measurement framework that focuses on conversion and engagement. The following four steps structure the session:
The global setup and the implementation of a global measurement framework: consumer access
Tracking and technical setup
The US pilot
The Use cases
Digital Velocity London 2017: Understanding AudienceStream Timeline and Funne...Tealium
Digital Velocity London 2017
Tealium University
Session: Understanding AudienceStream Timeline and Funnel to Influence Visitor Journey
Presenter: Steve Lake
Digital Velocity London 2017: Combining AudienceStream AttributesTealium
Digital Velocity London 2017
Tealium University
Session: Combining AudienceStream Attributes - Solve Your Segmentation Logic Challenges
Presented by Mark Reddin
The digital marketing industry is changing faster than ever and those who don’t adapt with the times are losing market share. Where should marketers be focusing their efforts? What strategies are the experts seeing get the best results? Get up-to-speed with the latest industry insights, trends and predictions for the future in this panel discussion with some leading digital marketing experts.
Digital Money Maker Club – von Gunnar Kessler digital.focsh890
Title One is a comprehensive examination of the impact of digital technologies on
modern society. In a world where technology continues to advance rapidly, this article delves into the nuances and complexities of the digital age, exploring Its implications across various sectors and aspects of life.
Mastering Local SEO for Service Businesses in the AI Era is tailored specifically for local service providers like plumbers, dentists, and others seeking to dominate their local search landscape. This session delves into leveraging AI advancements to enhance your online visibility and search rankings through the Content Factory model, designed for creating high-impact, SEO-driven content. Discover the Dollar-a-Day advertising strategy, a cost-effective approach to boost your local SEO efforts and attract more customers with minimal investment. Gain practical insights on optimizing your online presence to meet the specific needs of local service seekers, ensuring your business not only appears but stands out in local searches. This concise, action-oriented workshop is your roadmap to navigating the complexities of digital marketing in the AI age, driving more leads, conversions, and ultimately, success for your local service business.
Key Takeaways:
Embrace AI for Local SEO: Learn to harness the power of AI technologies to optimize your website and content for local search. Understand the pivotal role AI plays in analyzing search trends and consumer behavior, enabling you to tailor your SEO strategies to meet the specific demands of your target local audience. Leverage the Content Factory Model: Discover the step-by-step process of creating SEO-optimized content at scale. This approach ensures a steady stream of high-quality content that engages local customers and boosts your search rankings. Get an action guide on implementing this model, complete with templates and scheduling strategies to maintain a consistent online presence. Maximize ROI with Dollar-a-Day Advertising: Dive into the cost-effective Dollar-a-Day advertising strategy that amplifies your visibility in local searches without breaking the bank. Learn how to strategically allocate your budget across platforms to target potential local customers effectively. The session includes an action guide on setting up, monitoring, and optimizing your ad campaigns to ensure maximum impact with minimal investment.
For too many years marketing and sales have operated in silos...while in some forward thinking companies, the two organizations work together to drive new opportunity development and revenue. This session will explore the lessons learned in that beautiful dance that can occur when marketing and sales work together...to drive new opportunity development, account expansion and customer satisfaction.
No, this is not a conversation about MQLs and SQLs. Instead we will focus on a framework that allows the two organizations to drive company success together.
Search Engine Marketing - Competitor and Keyword researchETMARK ACADEMY
Over 2 Trillion searches are made per day in Google search, which means there are more than 2 Trillion visits happening across the websites of the world wide web.
People search various questions, phrases or words. But some words and phrases are searched
more often than others.
For example, the words, ‘running shoes’ are searched more often than ‘best road running
shoes for men’
These words or phrases which people use to search on Google are called Keywords.
Some keywords are searched more often than others. Number of times a keyword is searched
for in a month is called keyword volume.
Some keywords have more relevant results than others. For the phrase “running shoes” we
get more than 80M relevant results, whereas for “best road running shoes for men” we get
only 8.
The former keyword ‘running shoes’ has way more competition from popular websites to
new and small blogs, whereas the latter keyword doesn’t have that much competition. This
search competition for a keyword is called search difficulty of a keyword or keyword
difficulty.
In other words, if the keyword difficulty is ‘low’ or ‘easy’, there won’t be any competition
and if you target such keywords on your site, you can easily rank on the front page of Google.
Some keywords are searched for, just to know or to learn some information about something,
that’s their search intention. For example, “What shoe size should I choose?” or “How to pick
the right shoe size?”
These keywords which are searched just to know about stuff are called informational
keywords. Typically people who are searching this type of keywords are top of a Conversion
funnel.
Conversion funnel is the journey that search visitors go through on their way to an email
subscription or a premium subscription to the services you offer or a purchase of products
you sell or recommend using your referral link.
For some buyers, research is the most important part when they have to buy a product.
Depending on that, their journey either widens or narrows down. These types of buyers are
Researchers and they spend more time with informational keywords.
Conversion is the action you want from your search visitors. Number of conversions that you
get for every 100 search visitors is called Conversion rate.
People who are at different stages of a conversion funnel use different types of keywords.
SEO as the Backbone of Digital MarketingFelipe Bazon
In this talk Felipe Bazon will share how him and his team at Hedgehog Digital share our journey of making C-Levels alike, specially CMOS realize that SEO is the backbone of digital marketing by showing how SEO can contribute to brand awareness, reputation and authority and above all how to use SEO to create more robust global marketing strategies.
A.I. (artificial intelligence) platforms are popping up all the time, and many of them can and should be used to help grow your brand, increase your sales and decrease your marketing costs.In this presentation:We will review some of the best AI platforms that are available for you to use.We will interact with some of the platforms in real-time, so attendees can see how they work.We will also look at some current brands that are using AI to help them create marketing messages, saving them time and money in the process. Lastly, we will discuss the pros and cons of using AI in marketing & branding and have a lively conversation that includes comments from the audience.
Key Takeaways:
Attendees will learn about LLM platforms, like ChatGPT, and how they work, with preset examples and real time interactions with the platform. Attendees will learn about other AI platforms that are creating graphic design elements at the push of a button...pre-set examples and real-time interactions.Attendees will discuss the pros & cons of AI in marketing + branding and share their perspectives with one another. Attendees will learn about the cost savings and the time savings associated with using AI, should they choose to.
How to Run Landing Page Tests On and Off Paid Social PlatformsVWO
Join us for an exclusive webinar featuring Mariate, Alexandra and Nima where we will unveil a comprehensive blueprint for crafting a successful paid media strategy focused on landing page testing.With escalating costs in paid advertising, understanding how to maximize each visitor’s experience is crucial for retention and conversion.
This session will dive into the methodologies for executing and analyzing landing page tests within paid social channels, offering a blend of theoretical knowledge and practical insights.
The Pearmill team will guide you through the nuances of setting up and managing landing page experiments on paid social platforms. You will learn about the critical rules to follow, the structure of effective tests, optimal conversion duration and budget allocation.
The session will also cover data analysis techniques and criteria for graduating landing pages.
In the second part of the webinar, Pearmill will explore the use of A/B testing platforms. Discover common pitfalls to avoid in A/B testing and gain insights into analyzing A/B tests results effectively.
Top 3 Ways to Align Sales and Marketing Teams for Rapid GrowthDemandbase
In this session, Demandbase’s Stephanie Quinn, Sr. Director of Integrated and Digital Marketing, Devin Rosenberg, Director of Sales, and Kevin Rooney, Senior Director of Sales Development will share how sales and marketing shapes their day-to-day and what key areas are needed for true alignment.
Come learn how YOU can Animate and Illuminate the World with Generative AI's Explosive Power. Come sit in the driver's seat and learn to harness this great technology.
Mastering Multi-Touchpoint Content Strategy: Navigate Fragmented User JourneysSearch Engine Journal
Digital platforms are constantly multiplying, and with that, user engagement is becoming more intricate and fragmented.
So how do you effectively navigate distributing and tailoring your content across these various touchpoints?
Watch this webinar as we dive into the evolving landscape of content strategy tailored for today's fragmented user journeys. Understanding how to deliver your content to your users is more crucial than ever, and we’ll provide actionable tips for navigating these intricate challenges.
You’ll learn:
- How today’s users engage with content across various channels and devices.
- The latest methodologies for identifying and addressing content gaps to keep your content strategy proactive and relevant.
- What digital shelf space is and how your content strategy needs to pivot.
With Wayne Cichanski, we’ll explore innovative strategies to map out and meet the diverse needs of your audience, ensuring every piece of content resonates and connects, regardless of where or how it is consumed.
The digital marketing industry is changing faster than ever and those who don’t adapt with the times are losing market share. Where should marketers be focusing their efforts? What strategies are the experts seeing get the best results? Get up-to-speed with the latest industry insights, trends and predictions for the future in this panel discussion with some leading digital marketing experts.
SMM Cheap - No. 1 SMM panel in the worldsmmpanel567
Boost your social media marketing with our SMM Panel services offering SMM Cheap services! Get cost-effective services for your business and increase followers, likes, and engagement across all social media platforms. Get affordable services perfect for businesses and influencers looking to increase their social proof. See how cheap SMM strategies can help improve your social media presence and be a pro at the social media game.
In this presentation, Danny Leibrandt explains the impact of AI on SEO and what Google has been doing about it. Learn how to take your SEO game to the next level and win over Google with his new strategy anyone can use. Get actionable steps to rank your name, your business, and your clients on Google - the right way.
Key Takeaways:
1. Real content is king
2. Find ways to show EEAT
3. Repurpose across all platforms
When most people in the industry talk about online or digital reputation management, what they're really saying is Google search and PPC. And it's usually reactive, left dealing with the aftermath of negative information published somewhere online. That's outdated. It leaves executives, organizations and other high-profile individuals at a high risk of a digital reputation attack that spans channels and tactics. But the tools needed to safeguard against an attack are more cybersecurity-oriented than most marketing and communications professionals can manage. Business leaders Leaders grasp the importance; 83% of executives place reputation in their top five areas of risk, yet only 23% are confident in their ability to address it. To succeed in 2024 and beyond, you need to turn online reputation on its axis and think like an attacker.
Key Takeaways:
- New framework for examining and safeguarding an online reputation
- Tools and techniques to keep you a step ahead
- Practical examples that demonstrate when to act, how to act and how to recover
Turn Digital Reputation Threats into Offense Tactics - Daniel Lemin
Digital Velocity 2014: "The Holy Grail of Digital Data Analytics"
1. The Holy Grail of Digital Data Analytics
Joe Brown
Rahul Deshmukh
Director, Digital Analytics
Lincoln Financial Group
Director, Digital Intelligence
Splunk
thedeshmukhs
2. About Lincoln Financial
• #235 of Forbes 2013 Fortune 500 list
• Financial Services company offering a diverse range of financial
services and solutions. With a strong focus on four core business
areas — life insurance, annuities, retirement plan services, and
group protection — our business is built around
supporting, preserving, and enhancing our customer's lifestyles and
providing better retirement outcomes.
• Led by over 8,000 employees, Lincoln Financial provides the tools
and advice to help individuals take charge of their futures
3. Big Data
• Holy Grail = ―360 degree view of the customer‖
• Start small ―little big data‖
– Eric Peterson
4. Little Big Data
GA
Commission Junction
Silverpop
OpinionLab
SiteCatalyst
Double Click
Bizo
Feedbackify
WebTrends
Optimost
Google AdWords
DataXu
ExactTarget
11. Moving Beyond Web Analytics to Digital Intelligence
>
Correlate across clickstream,
server side and mobile data
>
Real-time analytics across
digital channels (web & mobile)
>
Flexible and powerful ad hoc
analytics
>
Advanced analytics on
clickstream data in Hadoop
Clickstream Data
Server Side
Weblogs
Mobile Data
12. Splunk : Tealium Integration Overview
1 Data Layer
3
of the web
Explore
Analyze
Visualize
Dashboards
Share
Start
exploring, analyzi
ng digital data in
Splunk
Plus:
Call center, offline,
Ad cost data, etc.
Tealium, Inc.
Hosted on
AWS
Tealium Event Store
S3 add-on
2 ingests data to
Splunk index
13. More to Web Analytics than Marketing Metrics
Business Performance
Analytics
•
•
•
Customer/Product
Analytics
•
•
•
Product Adoption
Product Feature Usage
Product Usability
1
Marketing
Analytics
Customer Behavior
Customer Purchase/Churn
Customer Service
14. Real time marketing
intelligence
Which devices (iPhones, Androids or Kindle
Fires) are being used to place orders
Where and when it is more lucrative to run
promotional campaigns- real time
Revenue insights
Better customer decisions
Online sales data across entire network of
more than 10,000 stores
Analyze the success of campaigns as well as
one-off promotions in real time
Visualize key metrics - orders per
minute, numbers of transactions per
store, what types of pizza and what
coupons
Proactively adjust campaigns in real-time
based on customer behavior
15. Real-time Customer and Product Analytics
Measure customer
attention to specific areas
of content
Analyze click trough's and
how they navigate to CJ
mall
Track and analyze mobile
shopping customers in real
time
16. About Splunk
Company (NASDAQ: SPLK)
Founded 2004, first software release in 2006
HQ: San Francisco
Products
Splunk Enterprise, Hunk: Splunk Analytics for
Hadoop, Splunk Cloud
6,400+ Customers
60+ of the Fortune 100
Largest license: 100 Terabytes per day
#1 Big Data Innovator*
#1 Big Data – Pure Play Vendor**
* Fast Company's Most Innovative Companies Issue (2013)
** Forbes/Wikibon (2013)
18. Thank You
Joe Brown
Rahul Deshmukh
Director, Digital Analytics
Lincoln Financial Group
Director, Digital Intelligence
Splunk
thedeshmukhs
For more information on EventStore and Tealium + Splunk, visit the Partner Pavilion or
tealium.com/splunk
Download Splunk for free and the Tealium Digital Analytics dashboards at splunk.com.
Everyone is looking for the holy grail, trying to get the 360 view of customer. Eric Peterson’s whitepaper “Digital Data Distribution Platforms in Action”, does a good job at summarizing this issue.The white paper also gives some valuable guidance.. START SMALL and explore “little big data”, like the old adage of how do you eat an elephant one bite at a time.
What is little big data. It is all the data collected by the various tag based marketing technologies spread across your various digital experiences, web sites, mobile apps, kiosks, social media, etc. The problem is these tools simple create little puddles of data.
Tealium creates a “data lake” providing a single view into all the digital data created by the various tag based technologies deployed across your digital experiences. This is the goal at Lincoln to build a digital data lake.
Our goal at Lincoln is to slowly transform this digital data lake into raging river of data from all available sources.
We have added system and machine logs to our river. Those of you who attend DV last year may recall Judah Phillips speaking at length on a panel about the importance of process. His book Building a Digital analytics organization covers this at length and you will need good solid processes in place to navigate the rapids.
Is being indexed by SplunkSplunk is also indexing our machine / system log dataTag data is all captured by via a randomly generated ID that is linked to User ID internallyMachine / system log entries are recorded by User IDUser ID cannot be exposed externallyLoad into Splunk “External ID > Internal User ID Lookup TableResult: Search by User ID against internal & external data in one systemDiscovered performance issue …released patch improved performance by 50%.
Are plan is to slowly feed additional sources into the river. This in an effort to get to the holy grail or the 360 degree view our customers.
Splunk will help us achieve this by becoming the hover dam infront of our eventual massive data lake. It will allow us to quickly explore and control the flow of information and data. It allows us to do this by not having to predefine the data models and marts. Instead splunk allows us to build data models on the fly and continue to modify and change them as business needs dictate. All that is required is an understanding of the underlining data.
Product Adoption – When new features are released, product managers need instant visibility into product/feature adoption.Product Feature Usage – How visitors/customers use the product and what features are most used for optimizing product experienceProduct Usability – How visitors/customers engage with features or website? Understanding bottlenecks within the user experience or factors that help improve user experienceCustomer Behavior – Deep understanding of customer behavior and user engagementCustomer Purchase/Churn – First read on purchase activity or churn based on clickstream data. Key for online services and ecommerce sitesCustomer Service – Using real-time insights for identifying errors or challenges for providing better customer service.
CJ O is the no. 1 home shopping channel in South Korea.TV shoppingInternet shopping – CJmallMobile shopping – Mobile CJmallCatalog shoppingSocial market – O’Clock
Splunk now has more than 700 employees worldwide, with headquarters in San Francisco and 14 offices around the world.Since first shipping its software in 2006, Splunk now has over 5600 customers in 85+ countries. These organizations are using Splunk software to improve service levels, reduce operations costs, mitigate security risks, enable compliance, enhance DevOps collaboration and create new product and service offerings. Please always refer to latest company data found here: http://www.splunk.com/company.