How Big Data can Provide Real Time Business Intelligence
Video here http://youtu.be/hbXOb_aKcEY
SVForum Business Intelligence SIG in February
Tuesday, February 19, 2013
6:30PM - 9:00PM
SAP - Baltic/Caribbean Rooms in Building 2
3412 Hillview Avenue
Palo Alto, CA 94304
Abstract: Infinigraph
Real-time Data in a Big Data World
The explosion of data isn't new it’s just coming in from more sources and the same problems exist. Creating innovative ways to make the data useful and more import dive business value. Using real – time technologies give business more advantages to harness events when they happen. The use of real time and batch processing is a business driving requirement not technology. However, with real time comes real time problems where intelligence and adaptive data management is require. In this talk will address some key themes around SAP HANA and what brand marketers are doing with big data in real time add optimization to trending content insights.
This document provides an overview of big data and how it differs from traditional business intelligence (BI). It explains that big data involves bringing computation to the data rather than bringing data to computation. This allows for analysis of large, unstructured data sources like IoT data, social media, and search engines. Big data also offers benefits like fast decision making, additional data dimensions, dynamism, and new business opportunities. The document provides advice on developing a big data strategy including identifying needs and stakeholders, creating standards, and starting small with prototypes before growing capabilities. It emphasizes treating big data as the center of BI initiatives.
This document discusses next generation big data business intelligence (BI). It describes traditional BI and how it is evolving to incorporate big data. Key points:
- Traditional BI includes dashboards, KPIs, OLAP, reporting, and forecasting to provide insights from structured data.
- Next generation BI leverages big data technologies like Hadoop and NoSQL databases to handle larger and more diverse unstructured data in batch and real-time.
- This enables deeper insights through analytics across all data, from basic queries to advanced predictive modeling and streaming analysis.
- The modern BI stack incorporates big data technologies alongside traditional data warehousing and OLAP for integrated insights.
This document summarizes a system using Cassandra, Spark, and ELK (Elasticsearch, Logstash, Kibana) for processing streaming data. It describes how the Spark Cassandra Connector is used to represent Cassandra tables as Spark RDDs and write RDDs back to Cassandra. It also explains how data is extracted from Cassandra into RDDs based on token ranges, transformed using Spark, and indexed into Elasticsearch for visualization and analysis in Kibana. Recommendations are provided for improving performance of the Cassandra to Spark data extraction.
Real Time Business Intelligence with Cassandra, Kafka and Hadoop - A Real Sto...DataStax
What did I sell yesterday and how much of my plan did I fulfill today? How do my clients use our offer? What configuration combinations are in demand and what trends are emerging? How can I improve the user experience? These and other questions are frequently asked by board members and stakeholders and must be answered within a short period of time. Especially in companies that provide configurable products, it is important to support the product and pricing managers in short-term and competition-related matters with all the important data in a timely manner. In our use case, Cassandra, Kafka and Flink will take up this challenge. In this session, we will present a reference architecture based on selected use cases and demonstrate what applications arise for companies. We also take a closer look to information privacy and give some words about data visualisation.
About the Speakers
Alexandra Klimova Big Data Architect, Allianz Deutschland AG
Alexandra has 10 years of experience in both programing and operations. For the last 4 years she has focused on design and integration of Big Data Systems into enterprise platforms. She is working on data processing pipelines, distributed systems, realtime processing and data science. Alexandra holds a degree in Computer Science from the Technical University Munich. She is certified Hortonworks Hadoop Trainer and Big Data Architect at metafinanz.
Dominique Ronde Big Data Architect, Allianz Deutschland AG
Dominique Ronde is Big Data Architect at Allianz Deutschland AG and focused on the cassandra plattform. He also enjoys the part of data analytics with Flink and Spark. As a real java nerd since 2002 Dominique is familiar with the programming part, too. He is certified DataStax Solution Architect
Realtime Analytics and Anomalities Detection using Elasticsearch, Hadoop and ...DataWorks Summit
This document discusses using Hadoop, Elasticsearch, and Storm for real-time analytics and anomaly detection. Hadoop is used for its big data processing capabilities. Elasticsearch enables powerful search and analytics on large datasets. Storm allows for real-time computation on streaming data. Together this platform allows building models from large datasets using Hadoop, detecting anomalies in real-time with Elasticsearch, and reacting to live data flows using Storm's stream processing. Examples of uses include recommendations that optimize results in real-time and fraud prevention that can route suspicious transactions for further analysis.
This document discusses using Hadoop and Elasticsearch for real-time analytics. It provides an overview of Elasticsearch, including how it is document-oriented, schema-free, distributed and fast. It also demonstrates indexing, retrieving, updating and deleting documents from Elasticsearch. The demo portion involves extracting data from a SQL database using Hive, transforming it with Hadoop/Hive, and loading it into Elasticsearch to run queries. Lessons learned focus on concurrency, filtering, field data caching and JVM memory usage.
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/1FQYcP0.
Gian Merlino presents the advantages, challenges, and best practices to deploying and maintaining lambda architectures in the real world, using the infrastructure at Metamarkets as a case study. Filmed at qconsf.com.
Gian Merlino is a senior software engineer at Metamarkets, responsible for the infrastructure behind its data ingestion pipelines and is a committer on the Druid project.
This document provides an overview of big data and how it differs from traditional business intelligence (BI). It explains that big data involves bringing computation to the data rather than bringing data to computation. This allows for analysis of large, unstructured data sources like IoT data, social media, and search engines. Big data also offers benefits like fast decision making, additional data dimensions, dynamism, and new business opportunities. The document provides advice on developing a big data strategy including identifying needs and stakeholders, creating standards, and starting small with prototypes before growing capabilities. It emphasizes treating big data as the center of BI initiatives.
This document discusses next generation big data business intelligence (BI). It describes traditional BI and how it is evolving to incorporate big data. Key points:
- Traditional BI includes dashboards, KPIs, OLAP, reporting, and forecasting to provide insights from structured data.
- Next generation BI leverages big data technologies like Hadoop and NoSQL databases to handle larger and more diverse unstructured data in batch and real-time.
- This enables deeper insights through analytics across all data, from basic queries to advanced predictive modeling and streaming analysis.
- The modern BI stack incorporates big data technologies alongside traditional data warehousing and OLAP for integrated insights.
This document summarizes a system using Cassandra, Spark, and ELK (Elasticsearch, Logstash, Kibana) for processing streaming data. It describes how the Spark Cassandra Connector is used to represent Cassandra tables as Spark RDDs and write RDDs back to Cassandra. It also explains how data is extracted from Cassandra into RDDs based on token ranges, transformed using Spark, and indexed into Elasticsearch for visualization and analysis in Kibana. Recommendations are provided for improving performance of the Cassandra to Spark data extraction.
Real Time Business Intelligence with Cassandra, Kafka and Hadoop - A Real Sto...DataStax
What did I sell yesterday and how much of my plan did I fulfill today? How do my clients use our offer? What configuration combinations are in demand and what trends are emerging? How can I improve the user experience? These and other questions are frequently asked by board members and stakeholders and must be answered within a short period of time. Especially in companies that provide configurable products, it is important to support the product and pricing managers in short-term and competition-related matters with all the important data in a timely manner. In our use case, Cassandra, Kafka and Flink will take up this challenge. In this session, we will present a reference architecture based on selected use cases and demonstrate what applications arise for companies. We also take a closer look to information privacy and give some words about data visualisation.
About the Speakers
Alexandra Klimova Big Data Architect, Allianz Deutschland AG
Alexandra has 10 years of experience in both programing and operations. For the last 4 years she has focused on design and integration of Big Data Systems into enterprise platforms. She is working on data processing pipelines, distributed systems, realtime processing and data science. Alexandra holds a degree in Computer Science from the Technical University Munich. She is certified Hortonworks Hadoop Trainer and Big Data Architect at metafinanz.
Dominique Ronde Big Data Architect, Allianz Deutschland AG
Dominique Ronde is Big Data Architect at Allianz Deutschland AG and focused on the cassandra plattform. He also enjoys the part of data analytics with Flink and Spark. As a real java nerd since 2002 Dominique is familiar with the programming part, too. He is certified DataStax Solution Architect
Realtime Analytics and Anomalities Detection using Elasticsearch, Hadoop and ...DataWorks Summit
This document discusses using Hadoop, Elasticsearch, and Storm for real-time analytics and anomaly detection. Hadoop is used for its big data processing capabilities. Elasticsearch enables powerful search and analytics on large datasets. Storm allows for real-time computation on streaming data. Together this platform allows building models from large datasets using Hadoop, detecting anomalies in real-time with Elasticsearch, and reacting to live data flows using Storm's stream processing. Examples of uses include recommendations that optimize results in real-time and fraud prevention that can route suspicious transactions for further analysis.
This document discusses using Hadoop and Elasticsearch for real-time analytics. It provides an overview of Elasticsearch, including how it is document-oriented, schema-free, distributed and fast. It also demonstrates indexing, retrieving, updating and deleting documents from Elasticsearch. The demo portion involves extracting data from a SQL database using Hive, transforming it with Hadoop/Hive, and loading it into Elasticsearch to run queries. Lessons learned focus on concurrency, filtering, field data caching and JVM memory usage.
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/1FQYcP0.
Gian Merlino presents the advantages, challenges, and best practices to deploying and maintaining lambda architectures in the real world, using the infrastructure at Metamarkets as a case study. Filmed at qconsf.com.
Gian Merlino is a senior software engineer at Metamarkets, responsible for the infrastructure behind its data ingestion pipelines and is a committer on the Druid project.
Combine Apache Hadoop and Elasticsearch to Get the Most of Your Big DataHortonworks
Hadoop is a great platform for storing and processing massive amounts of data. Elasticsearch is the ideal solution for Searching and Visualizing the same data. Join us to learn how you can leverage the full power of both platforms to maximize the value of your Big Data.
In this webinar we'll walk you through:
How Elasticsearch fits in the Modern Data Architecture.
A demo of Elasticsearch and Hortonworks Data Platform.
Best practices for combining Elasticsearch and Hortonworks Data Platform to extract maximum insights from your data.
Streaming Big Data with Spark, Kafka, Cassandra, Akka & Scala (from webinar)Helena Edelson
This document provides an overview of streaming big data with Spark, Kafka, Cassandra, Akka, and Scala. It discusses delivering meaning in near-real time at high velocity and an overview of Spark Streaming, Kafka and Akka. It also covers Cassandra and the Spark Cassandra Connector as well as integration in big data applications. The presentation is given by Helena Edelson, a Spark Cassandra Connector committer and Akka contributor who is a Scala and big data conference speaker working as a senior software engineer at DataStax.
Slides from my presentation on Lambda Architecture at Indix, presented at Fifth Elephant 2014.
It talks about our experience in using Lambda Architecture at Indix, to build a large scale analytics system on unstructured, dynamically changing data sources using Hadoop, HBase, Scalding, Spark and Solr.
Lambda architecture for real time big dataTrieu Nguyen
- The document discusses the Lambda Architecture, a system designed by Nathan Marz for building real-time big data applications. It is based on three principles: human fault-tolerance, data immutability, and recomputation.
- The document provides two case studies of applying Lambda Architecture - at Greengar Studios for API monitoring and statistics, and at eClick for real-time data analytics on streaming user event data.
- Key lessons discussed are keeping solutions simple, asking the right questions to enable deep analytics and profit, using reactive and functional approaches, and turning data into useful insights.
Elasticsearch and Spark is a presentation about integrating Elasticsearch and Spark for text searching and analysis. It introduces Elasticsearch and Spark, how they can be used together, and the benefits they provide for full-text searching, indexing, and analyzing large amounts of textual data.
Artificial Intelligence: What are the different ways AI is going to transform the device-based experience for consumers?
How do you stay ahead of where AI is headed?
How should AI be leveraged to enhance brand trust, improve engagement and help consumers get jobs to be done in a way that is valued by consumers?
How can AI be employed to create better personal performance for individuals?
Visual Hypercuration InfiniGraph Capabilities 2013 The Content HubInfini Graph
Visual Hypercuratio™ is like an Owned Media Buzzfeed for brands. Content Hubs bring together InfiniGraph's Hypercuration™ with dynamic real-time visual content display on your ecom or blog site going from boring to exciting. Visual Hypercuration™ gives your consumers a reason to share at the same time unique high quality editorial on the same page is the juice Google requires to rank high. Now you have something to keep the customer coming back for more.
When Big Data and Predictive Analytics Collide: Visual Magic HappensInfini Graph
Big data is useless data unless you have a way to handle and perform meaningful analysis that drives a business outcome. Data visualization has transformed complex data sets into patterns now being used to constructed predictive models. In the massive exploding world of social data and content engagement the need for intelligent data mining and pattern prediction is required to realize data driving marketing. In this presentation, we will explore techniques, key takeaways and examples behind this fast growing market of predictive analysis.
Moneyball of Big Data and Real Time Insights are Changing EverthingInfini Graph
Passive Insights and delayed marketing are dead. Customers are demanding more engagement like no tomorrow and brands are unable to keep up with lack luster analytic and self monitoring tools based on 5 year ago technology. A new way of looking at the content consumption, connection graph, consumer engagement and performance measurement is needed. "Moneyball of Marketing" explains how a data driven approach to organic search can bring in net new customers. We're in the age of real-time trends and insights and response marketing is here. The brands that know what works what consumers engage with and have a grasp of industry behavioral insights are winning the game. Presentation at the BigDataCloud Today conf Jun 7th at the amazing Computer History Museum in Mt View .
This document discusses the importance of data in social media marketing. It notes that top companies are looking to take their social media initiatives to the next level by benchmarking their performance, creating strategies and tracking progress. It promotes social media brand assessments that analyze areas like content, engagement, and organizational synergy to provide recommendations. Finally, it advertises a free competitive industry report that provides engagement data and content insights about brands to help optimize marketing strategies.
Big Data Intelligence for Exceptional Engagement PerformanceInfini Graph
InfiniGraph is a cloud-based big data analytics platform that gives brands greater insight and competitive advantages in their date-driving marketing, customer engagement and e-commerce. InfiniGraph has “weaponized” the content calendar for marketers and can be described as a Buzzfeed for brands leverage the Content Hub to increase engagement performance. This is accomplished by analyzing and curating massive social media content (e.g., Facebook, Twitter, Instagram, YouTube etc.) and correlating it to meaningful industry, brand and consumer trends. InfiniGraph’s approach is radically different: using crowd-sourcing social intent and behavior (based on content interaction), it has organized a per-industry structure. This organization drives context, enabling the measurement of trends on over 250,000 brand sites, looking at trillions of consumer actions. See the Content Hubs in action here http://bit.ly/Content_Hub
How Meality achieved 2000% fan growth and 3% CTR increase with Big Data Combi...Infini Graph
Content has become the "Key Stone" to building a solid digital strategy. Not just social but overall marketing strategy. At JUMP 2013 held by eConsultancy Jan 30th in NY Troy Alan Dir of Marketing at Me-Ality and Chase McMichael CEO and Co-Founder InfiniGraph talk on how big data insights and marketing intelligence can grow and increase engagement with your fan base. See how 3.3 CTR and 2000% growth can be achieved as well as using trending content Hypercuration filtered on Photos amplifies your Pinterest with 50% consecutive growth. See video here http://youtu.be/e49QZD14EcQ Also see Fashion/Apparel analysis http://bit.ly/WjYpma and Fashion Women http://bit.ly/Yw1zna used in this presentation
Danette Gossett @MarketngTidbits
Successful brands are organized for #contentmarketing and social @ChaseMcMichael #cometoJUMP
Aneta Hall @anetah
TY to my fav #cometojump speakers: @jimsterne @ChaseMcMichael @TejP @jeffreyaallen @PaullYoung @JeffRagovin Bernice @pranavyadav
Margaret Molloy @MargaretMolloy
Intrigued by #InfiniGraph as content curation tool @ChaseMcMichael #cometoJUMP
Margaret Molloy @MargaretMolloy
Successful brands are organized for #contentmarketing and social @ChaseMcMichael #cometoJUMP
Alisha Outridge @AlishaOutridge
Facebook is an interest graph. Twitter is a conversation graph #ComeToJump
InfiniGraph Capabilities and 2.8 ReleaseInfini Graph
InfiniGraph Capabilities and 2.8 Release Webinar see video here http://bit.ly/137jp3F See the 8 Ways Brands Use Content Engagement To Drive Strategy and post here http://bit.ly/UCT6kM
How TCBY Got 398% More Engagement With Data-Based Content MarketingInfini Graph
Our Nov 7 2012 webinar. Jason Cormier of Room 214 presented How We Boosted TCBY Engagement by 398%. Natalie Petouhoff presented Brand Engagement and Content Performance. Brian Carter presented Answers to Frequent Questions About Content Marketing. How big data empowers better performance, and how critical interaction is to Social Media ROI.
InfiniGraph helps brands identify relevant trends for their customers by analyzing large amounts of social media data. It empowers brands to create engaging content marketing campaigns. InfiniGraph provides insights into what content types and topics are trending for specific audiences based on consumer interactions and connections through the social graph. This allows brands to better understand their customers and engage with them.
Social Media Monitoring ROI Metrics ForumInfini Graph
- Social media monitoring involves analyzing conversations about brands, products, and users' opinions on social networks to understand what is relevant and trending. InfiniGraph's tools go beyond listening to help brands discover hidden opportunities and competitive insights by analyzing the vast amount of user data and interactions on social media. InfiniGraph's social intelligence solutions have helped various brands like Military.com, Golden Spoon, and Complex Media significantly increase their social media engagement, traffic, sales and followers.
International infinigraph digitalmarketingintelligence_2012Infini Graph
This document discusses how InfiniGraph uses real-time consumer intelligence to help brands target the right people with the right content. It highlights that InfiniGraph can analyze over 800 million social media users to target based on demographics, location, and interests. InfiniGraph aims to simplify identifying opportunities in big data and empower brands to gain more relevance and resonance with audiences through efficient campaigns.
The document discusses how InfiniGraph taps into continuous genius moments to help choose the most interesting content from the 3.5 billion pieces shared weekly. It describes how brands now have the most powerful opportunity in history to specifically target people based on their interests and behaviors. InfiniGraph's technology drove 47% more engagement for Military.com by targeting interests based on behavior.
Emerging Media Conference 2012 - San FranciscoInfini Graph
Social media has profoundly changed society over the past decade. It has enabled new forms of widespread collaboration and communication that have influenced major world events like the Arab Spring, the Japanese earthquake and tsunami, Occupy Wall Street, and political scandals. The rise of social networks like Facebook and new technologies like smartphones have given billions of people the ability to instantly share information and perspectives online. This level of connectedness and the new dynamics around how news and ideas spread digitally continue to reshape our world in fundamental ways.
InfiniGraph is strategic and interactive intelligence that accelerates customer engagement (likes, shares, retweets, clicks and comments) with brand content, enhances search ads, and extends your social reach in unprecedented ways - all within your own display media and marketing campaigns.
Combine Apache Hadoop and Elasticsearch to Get the Most of Your Big DataHortonworks
Hadoop is a great platform for storing and processing massive amounts of data. Elasticsearch is the ideal solution for Searching and Visualizing the same data. Join us to learn how you can leverage the full power of both platforms to maximize the value of your Big Data.
In this webinar we'll walk you through:
How Elasticsearch fits in the Modern Data Architecture.
A demo of Elasticsearch and Hortonworks Data Platform.
Best practices for combining Elasticsearch and Hortonworks Data Platform to extract maximum insights from your data.
Streaming Big Data with Spark, Kafka, Cassandra, Akka & Scala (from webinar)Helena Edelson
This document provides an overview of streaming big data with Spark, Kafka, Cassandra, Akka, and Scala. It discusses delivering meaning in near-real time at high velocity and an overview of Spark Streaming, Kafka and Akka. It also covers Cassandra and the Spark Cassandra Connector as well as integration in big data applications. The presentation is given by Helena Edelson, a Spark Cassandra Connector committer and Akka contributor who is a Scala and big data conference speaker working as a senior software engineer at DataStax.
Slides from my presentation on Lambda Architecture at Indix, presented at Fifth Elephant 2014.
It talks about our experience in using Lambda Architecture at Indix, to build a large scale analytics system on unstructured, dynamically changing data sources using Hadoop, HBase, Scalding, Spark and Solr.
Lambda architecture for real time big dataTrieu Nguyen
- The document discusses the Lambda Architecture, a system designed by Nathan Marz for building real-time big data applications. It is based on three principles: human fault-tolerance, data immutability, and recomputation.
- The document provides two case studies of applying Lambda Architecture - at Greengar Studios for API monitoring and statistics, and at eClick for real-time data analytics on streaming user event data.
- Key lessons discussed are keeping solutions simple, asking the right questions to enable deep analytics and profit, using reactive and functional approaches, and turning data into useful insights.
Elasticsearch and Spark is a presentation about integrating Elasticsearch and Spark for text searching and analysis. It introduces Elasticsearch and Spark, how they can be used together, and the benefits they provide for full-text searching, indexing, and analyzing large amounts of textual data.
Artificial Intelligence: What are the different ways AI is going to transform the device-based experience for consumers?
How do you stay ahead of where AI is headed?
How should AI be leveraged to enhance brand trust, improve engagement and help consumers get jobs to be done in a way that is valued by consumers?
How can AI be employed to create better personal performance for individuals?
Visual Hypercuration InfiniGraph Capabilities 2013 The Content HubInfini Graph
Visual Hypercuratio™ is like an Owned Media Buzzfeed for brands. Content Hubs bring together InfiniGraph's Hypercuration™ with dynamic real-time visual content display on your ecom or blog site going from boring to exciting. Visual Hypercuration™ gives your consumers a reason to share at the same time unique high quality editorial on the same page is the juice Google requires to rank high. Now you have something to keep the customer coming back for more.
When Big Data and Predictive Analytics Collide: Visual Magic HappensInfini Graph
Big data is useless data unless you have a way to handle and perform meaningful analysis that drives a business outcome. Data visualization has transformed complex data sets into patterns now being used to constructed predictive models. In the massive exploding world of social data and content engagement the need for intelligent data mining and pattern prediction is required to realize data driving marketing. In this presentation, we will explore techniques, key takeaways and examples behind this fast growing market of predictive analysis.
Moneyball of Big Data and Real Time Insights are Changing EverthingInfini Graph
Passive Insights and delayed marketing are dead. Customers are demanding more engagement like no tomorrow and brands are unable to keep up with lack luster analytic and self monitoring tools based on 5 year ago technology. A new way of looking at the content consumption, connection graph, consumer engagement and performance measurement is needed. "Moneyball of Marketing" explains how a data driven approach to organic search can bring in net new customers. We're in the age of real-time trends and insights and response marketing is here. The brands that know what works what consumers engage with and have a grasp of industry behavioral insights are winning the game. Presentation at the BigDataCloud Today conf Jun 7th at the amazing Computer History Museum in Mt View .
This document discusses the importance of data in social media marketing. It notes that top companies are looking to take their social media initiatives to the next level by benchmarking their performance, creating strategies and tracking progress. It promotes social media brand assessments that analyze areas like content, engagement, and organizational synergy to provide recommendations. Finally, it advertises a free competitive industry report that provides engagement data and content insights about brands to help optimize marketing strategies.
Big Data Intelligence for Exceptional Engagement PerformanceInfini Graph
InfiniGraph is a cloud-based big data analytics platform that gives brands greater insight and competitive advantages in their date-driving marketing, customer engagement and e-commerce. InfiniGraph has “weaponized” the content calendar for marketers and can be described as a Buzzfeed for brands leverage the Content Hub to increase engagement performance. This is accomplished by analyzing and curating massive social media content (e.g., Facebook, Twitter, Instagram, YouTube etc.) and correlating it to meaningful industry, brand and consumer trends. InfiniGraph’s approach is radically different: using crowd-sourcing social intent and behavior (based on content interaction), it has organized a per-industry structure. This organization drives context, enabling the measurement of trends on over 250,000 brand sites, looking at trillions of consumer actions. See the Content Hubs in action here http://bit.ly/Content_Hub
How Meality achieved 2000% fan growth and 3% CTR increase with Big Data Combi...Infini Graph
Content has become the "Key Stone" to building a solid digital strategy. Not just social but overall marketing strategy. At JUMP 2013 held by eConsultancy Jan 30th in NY Troy Alan Dir of Marketing at Me-Ality and Chase McMichael CEO and Co-Founder InfiniGraph talk on how big data insights and marketing intelligence can grow and increase engagement with your fan base. See how 3.3 CTR and 2000% growth can be achieved as well as using trending content Hypercuration filtered on Photos amplifies your Pinterest with 50% consecutive growth. See video here http://youtu.be/e49QZD14EcQ Also see Fashion/Apparel analysis http://bit.ly/WjYpma and Fashion Women http://bit.ly/Yw1zna used in this presentation
Danette Gossett @MarketngTidbits
Successful brands are organized for #contentmarketing and social @ChaseMcMichael #cometoJUMP
Aneta Hall @anetah
TY to my fav #cometojump speakers: @jimsterne @ChaseMcMichael @TejP @jeffreyaallen @PaullYoung @JeffRagovin Bernice @pranavyadav
Margaret Molloy @MargaretMolloy
Intrigued by #InfiniGraph as content curation tool @ChaseMcMichael #cometoJUMP
Margaret Molloy @MargaretMolloy
Successful brands are organized for #contentmarketing and social @ChaseMcMichael #cometoJUMP
Alisha Outridge @AlishaOutridge
Facebook is an interest graph. Twitter is a conversation graph #ComeToJump
InfiniGraph Capabilities and 2.8 ReleaseInfini Graph
InfiniGraph Capabilities and 2.8 Release Webinar see video here http://bit.ly/137jp3F See the 8 Ways Brands Use Content Engagement To Drive Strategy and post here http://bit.ly/UCT6kM
How TCBY Got 398% More Engagement With Data-Based Content MarketingInfini Graph
Our Nov 7 2012 webinar. Jason Cormier of Room 214 presented How We Boosted TCBY Engagement by 398%. Natalie Petouhoff presented Brand Engagement and Content Performance. Brian Carter presented Answers to Frequent Questions About Content Marketing. How big data empowers better performance, and how critical interaction is to Social Media ROI.
InfiniGraph helps brands identify relevant trends for their customers by analyzing large amounts of social media data. It empowers brands to create engaging content marketing campaigns. InfiniGraph provides insights into what content types and topics are trending for specific audiences based on consumer interactions and connections through the social graph. This allows brands to better understand their customers and engage with them.
Social Media Monitoring ROI Metrics ForumInfini Graph
- Social media monitoring involves analyzing conversations about brands, products, and users' opinions on social networks to understand what is relevant and trending. InfiniGraph's tools go beyond listening to help brands discover hidden opportunities and competitive insights by analyzing the vast amount of user data and interactions on social media. InfiniGraph's social intelligence solutions have helped various brands like Military.com, Golden Spoon, and Complex Media significantly increase their social media engagement, traffic, sales and followers.
International infinigraph digitalmarketingintelligence_2012Infini Graph
This document discusses how InfiniGraph uses real-time consumer intelligence to help brands target the right people with the right content. It highlights that InfiniGraph can analyze over 800 million social media users to target based on demographics, location, and interests. InfiniGraph aims to simplify identifying opportunities in big data and empower brands to gain more relevance and resonance with audiences through efficient campaigns.
The document discusses how InfiniGraph taps into continuous genius moments to help choose the most interesting content from the 3.5 billion pieces shared weekly. It describes how brands now have the most powerful opportunity in history to specifically target people based on their interests and behaviors. InfiniGraph's technology drove 47% more engagement for Military.com by targeting interests based on behavior.
Emerging Media Conference 2012 - San FranciscoInfini Graph
Social media has profoundly changed society over the past decade. It has enabled new forms of widespread collaboration and communication that have influenced major world events like the Arab Spring, the Japanese earthquake and tsunami, Occupy Wall Street, and political scandals. The rise of social networks like Facebook and new technologies like smartphones have given billions of people the ability to instantly share information and perspectives online. This level of connectedness and the new dynamics around how news and ideas spread digitally continue to reshape our world in fundamental ways.
InfiniGraph is strategic and interactive intelligence that accelerates customer engagement (likes, shares, retweets, clicks and comments) with brand content, enhances search ads, and extends your social reach in unprecedented ways - all within your own display media and marketing campaigns.
Real Time Trends in Ads - Creating Intelligent Social Ads Infini Graph
"InfiniGraph uses social behavior to show you which content will drive the most engagement in your ads."
What your going to Get?
How to increase content engagement?
- InfiniGraph/Flite Ad Component
ads/apps/landing pages/websites
What’s Trending Content?
- Hypecuration what's relevant
- Most relevant content based on crowd action
How to create a Social Ad in real time
This document summarizes InfiniGraph's social media marketing intelligence platform. The platform analyzes social media to identify trending content across paid, earned, owned, and social media. It then recommends targeted advertising placements and content curation strategies to amplify this trending content and maximize engagement. The platform also identifies influential social media users and content sources to partner with. InfiniGraph offers various price tiers for its platform providing different levels of social media analysis, reporting, and advertising capabilities.
Intelligent Trending Content scales Engagement within Social Display AdsInfini Graph
InfiniGraph’s social rank algorithms, combined with intelligent content sourcing provides clients 30+% increase in engagement, We're the curation masters and make you the smartest person in the room on what's trending in your business.
Optimizing Social Media: Making Real-Time Decisions on Real-Time DataInfini Graph
Social media, with its nebulous, random activity, also gives marketers a lot of real-time intelligence about where their market – or potential market – is, and what they are talking about. This has led to the new specialty of social media optimization, which leverages all this data so that marketers can make the most of social media. This session will look at methods for optimizing – from posting when a target market is most responsive to technologies that target potential fans or followers.
Optimizing Social Media: Making Real-Time Decisions on Real-Time Data
HOW BIG DATA CAN PROVIDE REAL TIME BUSINESS INTELLIGENCE
1. HOW BIG DATA CAN
PROVIDE REAL TIME
BUSINESS INTELLIGENCE
1
2. Collecting Smart
WITH REAL TIME COMES REAL TIME PROBLEMS
WHERE INTELLIGENCE AND ADAPTIVE DATA
MANAGEMENT IS REQUIRE
Gathering the data is a science. Interpreting the data is an art
2 @chasemcmichael @infinigraph
4. “IT’S NOT INFORMATION OVERLOAD. IT’S
FILTER FAILURE.” ― CLAY SHIRKY
@chasemcmichel @infinigraph
4
5. • On behalfTHE DATA IS COMING & Co., the
WHERE of BT Germany GmbH FROM
Experton Group carried out a study on the
question of how big data is changing
business and IT. The study, “Data Explosion
in Business IT”, was carried out in March and
April 2012 with 100 decision-makers
working at companies with more than 500
employees. Most participants named mobile
use of the Internet and cloud computing as
the most important factors driving the
there is good Big Data, which is insight, and bad Big Data, which is
5 noisegrowth of big data.
7. REAL TIME NEEDS REAL TIME SYSTEMS
Big data analysis is a mix of anthropology, social sciences and statistics.
7 @chasemcmichael @infinigraph
8. DATA CAN BE A BLESSING OR A CURSE
• Need the systems to monitor at a
whole new level,
• Looking at usage patterns
• Predicting future trouble before
the trouble even happens
• Know a server pool needs tuning
• real time provision of additional
services – Elastic
Real time has to have real time
8 monitoring, automation and prevention
9. 3 STEPS TO EFFECTIVELY USING BIG DATA
• Marketers must define
the problem they want to
address
-
• They must “separate the
signal from the noise.”
-
• Must continually test
their insights.
Big data can offer insights, but to get the most out if it, it takes intellectual
9 curiosity to turn insights into action. @chasemcmichael @infinigraph
10. Brand are fighting for attention and fighting in the
blind. They need to know more than ever what’s
effective. What their target audience is finding
relevant and more importantly what’s driving the
consumer to act on what content that turns into
sales.
10
11. INFINIGRAPH SOLVES A PROBLEM FOR MARKETERS
DROWNING IN DATA BY ENABLING THEM TO
IDENTIFY WHAT'S RELEVANT TO THEIR CUSTOMERS.
WE SIMPLIFY TREND IDENTIFICATION EMPOWERING
BRANDS TO CREATE BETTER ENGAGEMENT THROUGH
BETTER CONTENT.
INFINIGRAPH IS LIKE THE COMSCORE / NIELSEN FOR
ENGAGEMENT PERFORMANCE AND COMPETITIVE
INTELLIGENCE
11
13. CONTENT ACTIONS IN REAL TIME
actionable insights is the most important part of collecting data
13 @chasemcmichael @infinigraph
14. INFINIGRAPH HAS INVESTED OVER 3 YEARS OF DATA ORGANIZATION/COLLECTION ON 250K BRANDS CATEGORIZED INTO INDUSTRY.
THIS IS A BIG DEAL AND THE HISTORIC DATA ISN’T AVAILABLE UNLESS YOU CAPTURED IT. BRANDS NEED THIS LEVEL TO EXTRACT THE
RIGHT INSIGHTS INFINIGRAPH PROVIDES. THE SOCIAL GRAPH IS A MESS, BRANDS MUST HAVE CONTENT SCORING AND ANALYTICS TO
MEASURE WHAT’S WORKING IN THEIR INDUSTRY NOT JUST THEMSELVES. HOW THEIR BRAND IS COMPARING WITH OTHERS AND
WHAT’S EFFECTIVE. MONTHLY REPORTS ARE CREATED ALONG WITH CONTENT CURATION FEEDS PROVIDS BRAND ONGOING
INTELLIGENCE USED ON EVERY MARKETING INITIATIVES. THE TOLL CREATES HIGHLY STRATEGIC AS WELL AS TACTICAL DATA
ONGOING .
We have too much of a focus on the collection of data by keyword vs. segmented
14 groups and communities @chasemcmichael @infinigraph
15. BIG DATA AND REAL-TIME
• Big Data is a fact of life and needs to be
addressed. Big Process is old wine in new
bottles. Tightly couple processes and data to
stay competitive.
15
1
16. IN MEMORY IS KEY
Big data analysis is a mix of anthropology, social sciences and statistics.
16 @chasemcmichael @infinigraph
17. SAP® IN-MEMORY APPLIANCE (SAP HANA™)
Near-Zero Latency
• capable of performing complex calculations
on complex data very fast.
• process calculations as business event and
triggers occur
• decisions executed immediately
Speed equals an “unfair” competitive advantage in real time big data
17 @chasemcmichael @infinigraph
18. SOCIAL SEGMENTATION
Social data is one of the most powerful ways to segment your audience
18
@chasemcmichael @infinigraph
22. TREND IDENTIFICATION - HYPERCURATION™
Example: Real-Time trending content
from 25 retail brands in one view.
Know what your audience is resonating
around.
22
2
23. OUR BIGGEST REAL TIME CHALLENGES
1. Distributed Data Gathering (Drone /
Broker Mesh)
2. Changing Landscape of Data
(Changing API / Changing Data
"Types" & Sources)
3. Categorization / Taxonomy
Handling (Dealing with lots of
disparate data)
Scale Scale
23 Scale
Big Data Intelligence for Exceptional Engagement Performance
To me, there is good Big Data, which is insight, and bad Big Data, which is noise
There are three key steps in effectively using Big Data, she said. First, marketers must define the problem they want to address. Next, they must “separate the signal from the noise.” Finally, they must continually test their insights. “To me, there is good Big Data, which is insight, and bad Big Data, which is noise,”
There are three key steps in effectively using Big Data, First, marketers must define the problem they want to addressthey must “separate the signal from the noise.” must continually test their insights. “To me, there is good Big Data, which is insight, and bad Big Data, which is noise,”
Brand are fighting for attention and fighting in the blind. They need to know more than ever what’s effective. What their target audience is finding relevant and more importantly what’s driving the consumer to act on what content that turns into sales.
InfiniGraph solves a problem for marketers drowning in data by enabling them to identify what's relevant to their customers.We simplify trend identification empowering brands to create better engagement through better content.InfiniGraph is like the Comscore / Nielsen for engagement performance and competitive intelligence
What's needed is a better understanding of customers' and prospects' “digital body language,” Melin said. “As they move through the sales cycle, this digital body language becomes more robust,” she said. It's crucial, she added, that the insights gained through the analysis of this information is shared throughout the organization.
InfiniGraph has invested over 3 years of data organization/collection on 250K brands categorized into Industry. This is a big deal and the historic data isn’t available unless you captured it. Brands need this level to extract the right insights InfiniGraph provides. The social graph is a mess, brands must have content scoring and analytics to measure what’s working in their industry NOT JUST THEMSELVES. How their brand is comparing with others and what’s effective. Monthly reports are created along with content curation feeds provids brand ongoing intelligence used on every marketing initiatives. The toll creates highly strategic as well as tactical data ongoing.
Gathering the data is a science. Interpreting the data is an art