The document provides a review of an IBM campaign telephone event promoting big data and analytics. It summarizes key aspects of pre-event promotion, event-day execution, and post-event impact. Pre-event promotion included an event website, Douban event page, social media posts, and media partnerships. The event featured 160 vintage telephones connected to big data stories and IBM experts. On-site activities included 10 client presentations, social media engagement incentives, and media coverage. Post-event metrics included increased social media followers and high-performing social media posts with millions of impressions.
The Briefing Room with Dr. Robin Bloor and RedPoint Global
Live Webcast Jan. 13, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=c847c54220dfb80841f3e0c63664fd08
Context is king in the realm of Big Data. With enough perspective on a customer or prospect, organizations can fine-tune their offerings in game-changing ways. Today's cutting-edge companies are viewing their customers within the context of a decade or more of interactions, and across multiple channels. How so? Real-time integration with social media and other customer channels can now result in actionable insights with serious potential.
Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor, as he describes the changing landscape of data flow, and how that impacts enterprise responsiveness. He'll be briefed by George Corugedo of RedPoint Global, who will explain how companies are leveraging Hadoop's YARN architecture to deliver a whole new array of highly responsive, data-driven enterprise applications. He'll demonstrate how RedPoint's platform running inside Hadoop can enable a wide range of both real-time and strategic data management functionality, all of which can be applied to any number of critical business processes.
Visit InsideAnalysis.com for more information.
Grainger reduced its network expenses by 50% and boosted availability to 99.99% by implementing Infoblox to automate core network services like DNS, DHCP, and IP address management. This replaced a less powerful previous solution and lowered capital and operating costs. It also reduced the staff needed to support the network by 50%. The improved flexibility and reliability supported Grainger's growth to $7 billion in annual revenue through 120,000 daily transactions. Technology plays a key role in Grainger's multi-channel strategy and efficient sourcing of industrial products for its customers.
Developing an Integrated Digital Media Marketing Plan (2014 UPDATE)Andrew Charles Jackson
This SlideShare gives you worksheets and a guide on how to develop an integrated digital/social media marketing action plan. After completing, you will have a well-informed integrated marketing plan, content strategy, content calendar, metrics tables, search engine optimization, lessons learned and more.
Learn unusual tips, strategies and process for getting 10-100x more value from paid ad campaigns on Facebook, Twitter, YouTube, Linkedin & Google+, including how to drive exponentially more traffic to your content, and convert 3-5x more of those clicks into leads and sales – all for less than $50 per campaign! Attendees will gain critical insights into how the algorithms of Paid Social Media advertising REALLY work, including Relevancy Score and Quality Adjusted Bids, which govern how often your ads show and what you pay for them. A must-attend session for Content, Social Media and PPC Marketers alike.
12 Small Businesses That Found Success on Social MediaHootsuite
After years of speaking with our small business customers to address the challenges and highlight successes of social media, patterns are beginning to form. We wanted to highlight the overlapping and individual social media goals of businesses industry-wide—not only to recognize their successes, but also to inspire others through examples. After all, 78% of consumers say that social messages from businesses influence their purchases. Here’s a presentation that showcases 12 small businesses who found success on social media.
Turning Big Data into Better Business OutcomesCisco Canada
The big data era is upon us as organizations are awash in social, mobile and machine-generated data. Opportunity abounds. But competition threatens. Further this high volume, data-at-the-edge environment challenges centralized data warehouse approaches typical with BI and Analytics today. Data virtualization provides a more agile, leave-the-data-where-it-lies way to fulfill BI and Analytic needs and achieve key business outcomes.
Time Difference: How Tomorrow's Companies Will Outpace Today'sInside Analysis
The Briefing Room with Mark Madsen and WebAction
Live Webcast Feb. 10, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=fa83c6283de99dfb6f38b9d7199cb452
In our increasingly interconnected world, the windows of opportunity for meaningful action are shrinking. Where hours once sufficed, minutes are now the norm. For some transactions, seconds make all the difference, even sub-seconds. Meeting these demands requires a new approach to information architecture, one that embraces the many innovations that are fundamentally changing the data-driven economy.
Register for this episode of The Briefing Room to hear veteran Analyst Mark Madsen of Third Nature as he explains how a confluence of advances are changing the nature of data management. He'll be briefed by Sami Akbay of WebAction, who will showcase his company's real-time data platform, designed from the ground up to meet the challenges of leveraging Big Data in concert with all manner of operational enterprise systems.
Visit InsideAnalysis.com for more information.
Fast Data for Competitive Advantage: 4 Steps to Expand your Window of Opportu...VoltDB
In this webinar, you’ll hear VoltDB CEO, Bruce Reading, outline 4 steps to expand your window of opportunity while avoiding risky options that can destroy your business. Technology innovator and CEO of Emagine International, David Peters, will also share key lessons learned from establishing his company’s ability to use fast data to crush competitors and execute on Emagine’s ability to open new markets. To view the webinar in its entirety, click here: http://learn.voltdb.com/WRExecSeries1.html
The Briefing Room with Dr. Robin Bloor and RedPoint Global
Live Webcast Jan. 13, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=c847c54220dfb80841f3e0c63664fd08
Context is king in the realm of Big Data. With enough perspective on a customer or prospect, organizations can fine-tune their offerings in game-changing ways. Today's cutting-edge companies are viewing their customers within the context of a decade or more of interactions, and across multiple channels. How so? Real-time integration with social media and other customer channels can now result in actionable insights with serious potential.
Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor, as he describes the changing landscape of data flow, and how that impacts enterprise responsiveness. He'll be briefed by George Corugedo of RedPoint Global, who will explain how companies are leveraging Hadoop's YARN architecture to deliver a whole new array of highly responsive, data-driven enterprise applications. He'll demonstrate how RedPoint's platform running inside Hadoop can enable a wide range of both real-time and strategic data management functionality, all of which can be applied to any number of critical business processes.
Visit InsideAnalysis.com for more information.
Grainger reduced its network expenses by 50% and boosted availability to 99.99% by implementing Infoblox to automate core network services like DNS, DHCP, and IP address management. This replaced a less powerful previous solution and lowered capital and operating costs. It also reduced the staff needed to support the network by 50%. The improved flexibility and reliability supported Grainger's growth to $7 billion in annual revenue through 120,000 daily transactions. Technology plays a key role in Grainger's multi-channel strategy and efficient sourcing of industrial products for its customers.
Developing an Integrated Digital Media Marketing Plan (2014 UPDATE)Andrew Charles Jackson
This SlideShare gives you worksheets and a guide on how to develop an integrated digital/social media marketing action plan. After completing, you will have a well-informed integrated marketing plan, content strategy, content calendar, metrics tables, search engine optimization, lessons learned and more.
Learn unusual tips, strategies and process for getting 10-100x more value from paid ad campaigns on Facebook, Twitter, YouTube, Linkedin & Google+, including how to drive exponentially more traffic to your content, and convert 3-5x more of those clicks into leads and sales – all for less than $50 per campaign! Attendees will gain critical insights into how the algorithms of Paid Social Media advertising REALLY work, including Relevancy Score and Quality Adjusted Bids, which govern how often your ads show and what you pay for them. A must-attend session for Content, Social Media and PPC Marketers alike.
12 Small Businesses That Found Success on Social MediaHootsuite
After years of speaking with our small business customers to address the challenges and highlight successes of social media, patterns are beginning to form. We wanted to highlight the overlapping and individual social media goals of businesses industry-wide—not only to recognize their successes, but also to inspire others through examples. After all, 78% of consumers say that social messages from businesses influence their purchases. Here’s a presentation that showcases 12 small businesses who found success on social media.
Turning Big Data into Better Business OutcomesCisco Canada
The big data era is upon us as organizations are awash in social, mobile and machine-generated data. Opportunity abounds. But competition threatens. Further this high volume, data-at-the-edge environment challenges centralized data warehouse approaches typical with BI and Analytics today. Data virtualization provides a more agile, leave-the-data-where-it-lies way to fulfill BI and Analytic needs and achieve key business outcomes.
Time Difference: How Tomorrow's Companies Will Outpace Today'sInside Analysis
The Briefing Room with Mark Madsen and WebAction
Live Webcast Feb. 10, 2015
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=fa83c6283de99dfb6f38b9d7199cb452
In our increasingly interconnected world, the windows of opportunity for meaningful action are shrinking. Where hours once sufficed, minutes are now the norm. For some transactions, seconds make all the difference, even sub-seconds. Meeting these demands requires a new approach to information architecture, one that embraces the many innovations that are fundamentally changing the data-driven economy.
Register for this episode of The Briefing Room to hear veteran Analyst Mark Madsen of Third Nature as he explains how a confluence of advances are changing the nature of data management. He'll be briefed by Sami Akbay of WebAction, who will showcase his company's real-time data platform, designed from the ground up to meet the challenges of leveraging Big Data in concert with all manner of operational enterprise systems.
Visit InsideAnalysis.com for more information.
Fast Data for Competitive Advantage: 4 Steps to Expand your Window of Opportu...VoltDB
In this webinar, you’ll hear VoltDB CEO, Bruce Reading, outline 4 steps to expand your window of opportunity while avoiding risky options that can destroy your business. Technology innovator and CEO of Emagine International, David Peters, will also share key lessons learned from establishing his company’s ability to use fast data to crush competitors and execute on Emagine’s ability to open new markets. To view the webinar in its entirety, click here: http://learn.voltdb.com/WRExecSeries1.html
We studied impact of the Big Data phenomenon on SMBs.
We conducted interviews among 30 SMBs to check:
- Big Data understanding by SMBs
- Adoption level of Big Data services
- Value creation and go-to-market channels
- Pain points in adopting Big Data
Building the Cognitive Era : Big Data StrategiesKevin Sigliano
This document discusses big data and its applications. It begins with an overview of the growth of data and defines big data. Examples are given of how companies like Walmart, the CIA, and Puig use big data. The challenges of big data including volume, veracity, velocity and variety are described. Common applications of big data like customer insights, marketing, and risk detection are mentioned. The document outlines a roadmap for implementing a big data strategy and discusses technologies and terms. Success cases in fast moving consumer goods are presented. Finally, the benefits of big data for survival, strategic decisions, and cost reductions are noted.
This document discusses big data and provides an overview of key concepts:
- Big data is defined as datasets that are too large or complex for traditional data management tools to handle. It is characterized by volume, velocity, and variety.
- Big data comes from a variety of sources like social media, sensors, web logs, and transaction systems. It is growing rapidly due to the digitization of information.
- Big data can be used for applications like enhancing customer insights, optimizing operations, and extending security and intelligence capabilities. Example use cases are described.
- Architecting solutions for big data requires handling its scale and integrating diverse data types and sources. Both traditional and new analytics approaches are needed.
Data warehouse modernization programme by TOBY WOOLFE at Big Data Spain 2014Big Data Spain
General Motors (GM) is in the process of constructing a single global information warehouse that will become the foundation for all business analytics and decision support across the enterprise.
IBM's big data seminar programme -moving beyond Hadoop - Ian Radmore, IBMInternet World
Big Data Meets Big Analytics Theatre - June 18th, 15:00-15:30
Eighty percent of the world's data is unstructured, and most businesses don't even attempt to use this data to their advantage. Imagine if you could afford to keep and analyse all the data generated by your business. Imagine that you had a way to analyse and exploit that data as it is created! Whether you're a telecoms provider trying to minimise customer churn, a utility company looking to exploit the potential of smart-metering or a surveillance company ensuring the security of clients' premises, there are genuine business opportunities from deploying big data analytics in real-time. Using live client examples, Ian will show how real-time analytics provide a powerful extension to any big data platform and is applicable across many types of information and real-world problems to deliver tangible business value.
Ian Radmore, an IBM Big Data Specialist spoke about the velocity aspect of the 4Vs associated with Big Data at the recent Internet World conference, this is the supporting presentation.
Big Data Analytics - From Generating Big Data to Deriving Business ValuePiyush Malik
Abstract of the Talk —The potential to extract actionable insights from big data has gained increased attention of researchers in academia as well as several industrial sectors. The field has become interesting and problems look even more exciting to solve ever since organizations have been trying to tame large volumes of complex and fast arriving big data streams through newer computing paradigms. However, extracting meaningful and actionable information from big data is a challenging and daunting task. The ability to generate value from large volumes of data is an art which combined with analytical skills needs to be mastered in order to gain competitive advantage in business. The ability of organizations to leverage the emerging technologies and integrate big data into their enterprise architectures effectively depends on the maturity level of the technology and business teams, capabilities they develop as well as the strategies they adopt.
In this paper, through selected use cases, we demonstrate how statistical analyses, machine learning algorithms, optimization and text mining algorithms can be applied to extract meaningful insights from the data available through social media, online commerce, telecommunication industry, smart utility meters and used for variety of business benefits, including improving security. The nature of applied analytical techniques largely depends on
the underlying nature of the problem so a one-size-fits-all solution hardly exists. Deriving information from big data is also subject to challenges associated with data security and privacy. These and other challenges are discussed in context of the selected problems to illustrate the potential of big data analytics.
Big Data Trends - WorldFuture 2015 ConferenceDavid Feinleib
David Feinleib's Big Data Trends presentation from the World Future Society's Annual Conference, WorldFuture 2015, held at the Hilton Union Square, San Francisco, California July 25, 2015.
Analytics in Action: Embedded Analytics, EverywhereAggregage
What's the next big trend in analytics software and applications? You've probably used it without even knowing: embedded reporting and analytics. Software development teams more often now are embedding 3rd party analytics solutions into their products and applications to let them focus on other core areas of their software. They also want to provide what their users ask for: reporting and analytics from within the context of the applications they are already using. Dean Yao will talk you through powerful strategies and best practices in embedded reporting, dashboards and analytics that will add value to your products and applications while giving you an analytics partner you can rely on. Empower users with better data presentation and exploration for deeper insights into their data.
Analytics in Action: Embedded Analytics, EverywhereHannah Flynn
What's the next big trend in analytics software and applications? You've probably used it without even knowing: embedded reporting and analytics. Software development teams more often now are embedding 3rd party analytics solutions into their products and applications to let them focus on other core areas of their software. They also want to provide what their users ask for: reporting and analytics from within the context of the applications they are already using.
Dean Yao will talk you through powerful strategies and best practices in embedded reporting, dashboards and analytics that will add value to your products and applications while giving you an analytics partner you can rely on. Empower users with better data presentation and exploration for deeper insights into their data.
The Connected Consumer – Real-time Customer 360Capgemini
With Business Data Lake technologies based on EMC’s Big Data portfolio it becomes possible to move away from channel specific analytics towards a 360 customer view.
This presentation will show how technologies like Spark, Hadoop, and Kafka help companies gain a real-time view of everything their customers do and make changes to customer touch points whether mobile, web, in-store, direct marketing or existing transactional systems.
Presented by Steve Jones, Vice President, Insights & Data, Capgemini at EMC World 2016
http://www.capgemini.com/emc
This document discusses how companies can use big data to improve their product development process. It provides examples of how data can be collected from various sources, including apps, websites, conferences, and purchases to gain insights into customers. This detailed customer data allows companies to narrow their targeting of different customer segments. The data is then analyzed and used to develop new products tailored to specific customer needs, which can increase customer renewals. An example case study is also provided of how a media company implemented a tiered paywall strategy with different levels of access based on the data provided by users.
How To Drive Exponential Growth Using Unconventional Data SourcesChartio
Meteor — one of the largest open source platforms for building web and mobile apps — lives or dies by community growth and project adoption.
Meteor pulls together all dimensions of their customer data — from Github to Zendesk — to power critical platform growth and adoption. They’ve developed a unique analytics stack that processes and analyzes millions of rows of data to deliver the insights they need.
See the full webinar here: http://landing.chartio.com/webinar-meteor-and-segment
The document provides an overview of how to leverage mobile for an organization. It discusses mobile market trends like growth in devices and tablets in enterprises. It covers commonly used mobile app categories like CRM, video conferencing, notetaking, and documents. Examples are given of apps for customer support, data visualization, user generated content, ecommerce, elearning, and mobile marketing. The native vs mobile web development process is overviewed, including steps to get started like starting small and knowing your audience. Metrics for measuring mobile marketing ROI are defined.
Streaming and Visual Data Discovery for the Internet of ThingsDatawatchCorporation
Sensor devices and their associated data streams are rapidly becoming a big source of differentiation for organizations that can effectively harness this information to drive new insights and take action. The breakthrough is enabled by new solutions for applying visual data discovery to streaming data in motion. This session will focus on industrial analytics and how best to apply new technologies that drive synergies between IT and OT.
Big data is still relatively new and it is very exciting. The opportunities, if not necessarily endless, are are at least incredibly rich and varied. Aiming to bridge the link between Big Data as a Technology and Big Data as Business Value, we hope our presentation will help frame some of your thinking on how to use and benefit from this topical development.
SPT 104 Unlock your big data with analytics and BI on Office 365Brian Culver
SharePoint Fest Denver 2016
SPT 104 - Unlock your Big Data with Analytics and BI on Office 365
Brian Culver, MCM - Invited Speaker
Companies have huge amounts of data waiting to be explored. With Azure HDInsights you can realize the value of your data. With Microsoft Excel 2013 and Office 365, you have a complete platform for BI solutions and services. Power BI allows companies to manipulate and study a variety of data points, gain actionable insights and share their insights. PowerPivot, Power View, Power Query, Power Map and Power BI Sites let users analyze and make decisions using structured and unstructured data.
Attendee Takeaways:
1. Learn to setup and configure HDInsights on Microsoft Azure.
2. Understand how to use Excel for BI capabilities.
3. Build a BI Dashboard in Office365.
The Global Influence of Open Banking, API Security, and an Open Data PerspectiveRogue Wave Software
Open Banking is being driven by regulation in Europe, however, it is ultimately about expanding consumer choice in financial services. Open Banking provides opportunities for financial services and FinTech companies as well as consumers. In this webinar, we’ll examine the influence of Open Banking across the globe and the key differences between regulation-led and market-led initiatives. We’ll also explore essential security standards in Open Banking and how they contribute to a secure Open Banking API interface.
This document provides branding guidelines for LivableCNY, including its logo, typefaces, color scheme, and content categories. The logo and branding are meant to represent a positive, civic-minded tone. The target audience includes civic and business leaders as well as young career seekers. Content will focus on five main categories - civics, culture, commerce, communities, and connections. The goal is to create high-quality content to engage the audience and provide value to business partners.
LivableCNY offers sponsored content services to help companies reach interested readers. They place sponsored content within their site content and promote it across social media. They also help establish clients' search engine presence through search engine optimization techniques. LivableCNY writes both sponsored and organic articles to help clients build an effective online presence and demonstrate their understanding of customers' needs.
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We studied impact of the Big Data phenomenon on SMBs.
We conducted interviews among 30 SMBs to check:
- Big Data understanding by SMBs
- Adoption level of Big Data services
- Value creation and go-to-market channels
- Pain points in adopting Big Data
Building the Cognitive Era : Big Data StrategiesKevin Sigliano
This document discusses big data and its applications. It begins with an overview of the growth of data and defines big data. Examples are given of how companies like Walmart, the CIA, and Puig use big data. The challenges of big data including volume, veracity, velocity and variety are described. Common applications of big data like customer insights, marketing, and risk detection are mentioned. The document outlines a roadmap for implementing a big data strategy and discusses technologies and terms. Success cases in fast moving consumer goods are presented. Finally, the benefits of big data for survival, strategic decisions, and cost reductions are noted.
This document discusses big data and provides an overview of key concepts:
- Big data is defined as datasets that are too large or complex for traditional data management tools to handle. It is characterized by volume, velocity, and variety.
- Big data comes from a variety of sources like social media, sensors, web logs, and transaction systems. It is growing rapidly due to the digitization of information.
- Big data can be used for applications like enhancing customer insights, optimizing operations, and extending security and intelligence capabilities. Example use cases are described.
- Architecting solutions for big data requires handling its scale and integrating diverse data types and sources. Both traditional and new analytics approaches are needed.
Data warehouse modernization programme by TOBY WOOLFE at Big Data Spain 2014Big Data Spain
General Motors (GM) is in the process of constructing a single global information warehouse that will become the foundation for all business analytics and decision support across the enterprise.
IBM's big data seminar programme -moving beyond Hadoop - Ian Radmore, IBMInternet World
Big Data Meets Big Analytics Theatre - June 18th, 15:00-15:30
Eighty percent of the world's data is unstructured, and most businesses don't even attempt to use this data to their advantage. Imagine if you could afford to keep and analyse all the data generated by your business. Imagine that you had a way to analyse and exploit that data as it is created! Whether you're a telecoms provider trying to minimise customer churn, a utility company looking to exploit the potential of smart-metering or a surveillance company ensuring the security of clients' premises, there are genuine business opportunities from deploying big data analytics in real-time. Using live client examples, Ian will show how real-time analytics provide a powerful extension to any big data platform and is applicable across many types of information and real-world problems to deliver tangible business value.
Ian Radmore, an IBM Big Data Specialist spoke about the velocity aspect of the 4Vs associated with Big Data at the recent Internet World conference, this is the supporting presentation.
Big Data Analytics - From Generating Big Data to Deriving Business ValuePiyush Malik
Abstract of the Talk —The potential to extract actionable insights from big data has gained increased attention of researchers in academia as well as several industrial sectors. The field has become interesting and problems look even more exciting to solve ever since organizations have been trying to tame large volumes of complex and fast arriving big data streams through newer computing paradigms. However, extracting meaningful and actionable information from big data is a challenging and daunting task. The ability to generate value from large volumes of data is an art which combined with analytical skills needs to be mastered in order to gain competitive advantage in business. The ability of organizations to leverage the emerging technologies and integrate big data into their enterprise architectures effectively depends on the maturity level of the technology and business teams, capabilities they develop as well as the strategies they adopt.
In this paper, through selected use cases, we demonstrate how statistical analyses, machine learning algorithms, optimization and text mining algorithms can be applied to extract meaningful insights from the data available through social media, online commerce, telecommunication industry, smart utility meters and used for variety of business benefits, including improving security. The nature of applied analytical techniques largely depends on
the underlying nature of the problem so a one-size-fits-all solution hardly exists. Deriving information from big data is also subject to challenges associated with data security and privacy. These and other challenges are discussed in context of the selected problems to illustrate the potential of big data analytics.
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What's the next big trend in analytics software and applications? You've probably used it without even knowing: embedded reporting and analytics. Software development teams more often now are embedding 3rd party analytics solutions into their products and applications to let them focus on other core areas of their software. They also want to provide what their users ask for: reporting and analytics from within the context of the applications they are already using. Dean Yao will talk you through powerful strategies and best practices in embedded reporting, dashboards and analytics that will add value to your products and applications while giving you an analytics partner you can rely on. Empower users with better data presentation and exploration for deeper insights into their data.
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What's the next big trend in analytics software and applications? You've probably used it without even knowing: embedded reporting and analytics. Software development teams more often now are embedding 3rd party analytics solutions into their products and applications to let them focus on other core areas of their software. They also want to provide what their users ask for: reporting and analytics from within the context of the applications they are already using.
Dean Yao will talk you through powerful strategies and best practices in embedded reporting, dashboards and analytics that will add value to your products and applications while giving you an analytics partner you can rely on. Empower users with better data presentation and exploration for deeper insights into their data.
The Connected Consumer – Real-time Customer 360Capgemini
With Business Data Lake technologies based on EMC’s Big Data portfolio it becomes possible to move away from channel specific analytics towards a 360 customer view.
This presentation will show how technologies like Spark, Hadoop, and Kafka help companies gain a real-time view of everything their customers do and make changes to customer touch points whether mobile, web, in-store, direct marketing or existing transactional systems.
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http://www.capgemini.com/emc
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Meteor — one of the largest open source platforms for building web and mobile apps — lives or dies by community growth and project adoption.
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See the full webinar here: http://landing.chartio.com/webinar-meteor-and-segment
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Sensor devices and their associated data streams are rapidly becoming a big source of differentiation for organizations that can effectively harness this information to drive new insights and take action. The breakthrough is enabled by new solutions for applying visual data discovery to streaming data in motion. This session will focus on industrial analytics and how best to apply new technologies that drive synergies between IT and OT.
Big data is still relatively new and it is very exciting. The opportunities, if not necessarily endless, are are at least incredibly rich and varied. Aiming to bridge the link between Big Data as a Technology and Big Data as Business Value, we hope our presentation will help frame some of your thinking on how to use and benefit from this topical development.
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Brian Culver, MCM - Invited Speaker
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Attendee Takeaways:
1. Learn to setup and configure HDInsights on Microsoft Azure.
2. Understand how to use Excel for BI capabilities.
3. Build a BI Dashboard in Office365.
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Open Banking is being driven by regulation in Europe, however, it is ultimately about expanding consumer choice in financial services. Open Banking provides opportunities for financial services and FinTech companies as well as consumers. In this webinar, we’ll examine the influence of Open Banking across the globe and the key differences between regulation-led and market-led initiatives. We’ll also explore essential security standards in Open Banking and how they contribute to a secure Open Banking API interface.
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2. Preview
• On-site highlight
• Social impact highlight
• Pre-event promotion execution review:
• 1) Campaign site
• 2) Douban event site
• 3) Social pre-heat
• 4) Media coop page banner + entrance
• Event-day execution review:
• 1) Creative layout, case references displayed, new clients gained, BP attended
• 2) Customer journey with performance stats (highlight EARNED, New opportunities gained)
• 3) Media attended and reports, earned media list
• 4) Social comments list
• Post event plan:
• 1) roadmap
• 2) timeline
• Back up
Page 2
3. Big Data Is Talked About Everywhere, and our
Campaign Objective is to present IBM Excels With A
Solid and Proved Customer Practice.
Page 3
4. Page 4
238 O/B calls to IBM Clients & BP
88registrations
59 O/B calls to IBMer
22 callers with business needs
7 on-site prospects
IBM Distinguished Engineer
and Director Jamshid Vayghan was
impressed by the Campaign Telephone
On-Site Event Highlight
2,353,176 of weibo
coverage
4,209tagged weibo posts
1,400 participates
160 vintage telephone
installation
38 sharable IBM Big Data &
Analytics stories recordings
10 reference are LIVE sharing
3 IBM experts real-time
communication
5 media journalists arrived and
created original news articles for
the event
14 media reprints including MSN
China, ZOL, CTOCIO.com etc.
5. Page 5P O Eaid wned arned
- Installation display
(Pilot & Event day)
- Media banners
- Co-branding
invitation
- Event Invitation
eDM
- IBM.com
- Campaign Site
- Easyblue WAP
- Software VEC
- Douban event page
- 6 posts on IBM中国
weibo
- 1 msg on IBM中国
WeChat
- 6 msg on Big Forum
WeChat
- 2,409,530 Weibo
coverage
- 4209 Weibo posts
- 230 Douban fans
- 221 Weibo fans
- 108 WeChat fans
- 88 registrations
- 29 prospects
- 19 media reports &
reprints
- 7 BP cases collected
- 2 new client cases
- 2 event replication
queries
Digital and Social Coverage & Impact
7. Campaign Site –Features and Performance
Page 7
Campaign Site URL: http://bigdata.easybluestore.com/call
Featuring 38 DTBS Big Data Story
Recordings and Reference Download
Cross Link to BAO Portal
and IBM Youku Channel
Featuring the 5 Use Case
Keep Updated with Event
Photo and Video
Visits
Average
Viewing
Time
Bounce
Rate
Registr
ation
Conv.
Rate
2272
2 min 20
sec
43.24% 82 3.61%
Top 5 Topics
1 活动预告:连线大数据与分析
2
动态播报:活动紧锣密鼓,精彩
呼之欲出
3
大数据与分析,让园中动物“自
给自足”
4 欢迎迚入“大数据与分析”时代
5 IBM与“大数据分析”
• Performance (as of 6/17)
• Findings
• Visits peaked on Jun 14th with the
widespread retweets of IBM China
preheat post on Jun 11th.
• Average viewing time and registration
conv. rate is healthy, but visits declined as
the event is close –need post-event
promotion to drive constant traffic.
• Content with popularity are event info
and introductory big data knowledge,
which aligns with the pre-event
promotion TA and objective, but the next
step promotion should shift focus to
reference case sharing and 5 use case
exploration..
0
110
50
89
0 5
216
260
118
60 75 99 81
36 46 45
243
326
254
159
70
0 27 6 0 0 3 1 1 2 2 5 2 2 1 2 8 5 7 2 6 10
100
200
300
400
Visits Registration
8. Page 8
Douban Event Site URL: www.douban.com/event/19037778/
Douban Event Site–Features and Performance
互动艺术装置展:连线/大数据与分析
时间: 06月16日 周日 09:00-21:00
地点: 北京 朝阳区 丑贸天阶
费用: 免费
类型: 展览
发起人:IBM中国
活动网站:http://bigdata.easybluestore.com/call
6. 6 Launch
6.16 Event Day
120 interested, 109 participated
In order to draw people’s
attention and interests, we
posted picture- stream to
keep track of every scenario
of our preparation period
till this campaign unveiled .
An international fashion&
entertainment channel, came to the
event & thumb up the stylish
combination of science & art.
9. Page 9
Social Pre-heat – Content Matrix and Performance
IBM大数据与分析 Wechat ( Official Wechat
platform for 5.28 IBM Big Forum )
@IBM中国 Weibo Performance
5.28
On 5.28 IBM Big Forum, more than half of attendees showed interests to the telephone installation and fetched a ticket for the big
event. 58.7% of them filled out our feedback form with nearly 90% agreed that the telephone installation has helped them better
understand IBM’s capability in Big Data and Analytics.
6.5
Big Data Stories Recording Sharing:
• 连线安联全球救援,大数据为你保驾护航
• 连线人人游戏,玩转大数据与分析
• 连线联动优势科技有限公司,大数据穿越金
融和电信
6.8
Big Data Stories Recording Sharing:
• 连线南非航空公司,乘着大数据环游世界
• 连线美国Papa Gino’s 披萨,大数据让美味不
必等
• 连线美国网球公开赛,冠军背后是大数据
6.11
#趣味IT#:【大数据也可以很艺术:互动艺术装置展】6月16
号,北京世贸天阶,200台复古电话为你连线,倾听“大数据
与分析”背后的真实故事。来吧~参与一次互动艺术装置,你
的参与就是艺术本身。 http://t.cn/zHqNZNZ
Retweets (23)
Comments(35)
Covergage:124089
6.13 6月16日,世贸天阶东广场,“连线/大数据与
分析”活动正式上演!
#IBM大数据与分析# 近200部电话整装待发,“连线/大数据与
分析”活动正式进入倒计时!此刻,IBM的知名客户已经跃跃
欲试,静待你的来电;现场互动环节和丰富礼品已经备妥,等
待您的参与!6月16日,本周日,世贸天阶东广场,我们不见
不散!立即登陆活动网站http://t.cn/zHxgeUE,了解活动进程。
Retweets (15)
Comments(3)
Covergage:56354
6.15
6月16日,世贸天阶东广场,“连线/大数据与分
析”活动正式上演!
#IBM大数据与分析# Are you ready?明天前往世贸天阶东广
场,加入“连线/大数据与分析”活动。您不仅能与IBM的知
名客户直接连线,隔空畅谈经验、对话交流,更可以加入趣味
性十足的互动环节,赢取精美礼品!明天现场见!登陆活动网
站http://t.cn/zHxgeUE,了解活动详情。
Retweets (24)
Comments(12)
Covergage:105988
10. Page 10
Media Pre-Event Drive-To Performance
ZDNet:
http://soft.zdnet.com.cn/softwar
e_zone/2013/0523/2160726.sht
ml
Harvard Business Review:
http://www.hbrchina.org/
2013/bigdata_business/
ChinaByte:
http://server.chinabyte.com/ibmbigd
ata/
• Banner
• Invitation eDM
Sent Successf
ul Sent
Open Click Open
Rate
Click
Rate
5000 4792 3087 148 64.42% 4.79%
• Social Pre-heat
Weibo
Posts
Comments Retweets Coverage
2 8 9 68,951
http://weibo.com/16862
03097/zBAHkxJUr
http://weibo.com/16673
10331/zBACKAU9j
13. • 2 designed tracks for 2 types of audiences:
• For the general public, an incentive mechanism had been set up to encourage
visitors to actively understand and amplify IBM’s brand image and IBM’s Big
Data capability through posting photos and comments on Weibo. They could
receive a gift from doing so.
• For those who have specific business needs for Big Data and Analytics, there
were 12 telephones capable of direct, real-time communication with IBMer and
IBM BP. Also on-site staff took records of their information for LDR follow-up.
• Both types of audiences’ data are captured, and become earned assets that can
be leveraged in our post-event communication.
On-Site Participates Customer Journey
On-site
prospects
Valid O/B
call to
BP/Clients/I
BMer
Scan QR
LDR/BP
Leads
Register
EARNED
data for
post event
promotion
Tweet the event, and
follow @IBM中国
Follow IBM中国
+ 108
followers
5
146
22
7
1400 participates
4209 posts
+ 221 followers
Page 13
Event fans
Follow IBM Big Data
WeChat
230 event
fans
14. Media Reports and Amplification
Page 14
ChinaByte-与大数据亲密接触 记大数
据“连线”科普活动
http://server.chinabyte.com/139/1264363
9.shtml
CSDN-IBM大数据与分析 160台电话
连线真实案例故事
http://www.csdn.net/article/a/2013-06-
14/15815583
eNet-IBM举办“连线——大数据与分
析”活动
http://www.enet.com.cn/article/2013/06
20/A20130620292042.shtml
IT丏家网MSN中国
ZOL 企业网D1Net
京华网
OEPC社区
西安新闻网
5 media reported the grand event, bringing 14 autonomous media reprints including MSN
China, ZOL, etc.
珠海新闻网
保山新闻网
湛江新闻网
临沂在线
大连新闻网
View Detailed Media Press
Release List
1 reprints13 reprints
15. Social Impact on Event Day
Page 15
• 221 Weibo Fans increase (usually 30 increase per day)
• 4 original Weibo posts, gaining 2,353,176 coverage , 368 retweetss and 102comments
• Average retweets: reached 92/ pos (2.7 last year Smarter Analytics campaign)
• Average comments: 25.5/ pos (1.5 Smarter Analytics last year)
• Gaining 4209 INITIATIVE POSTS Tagged #IBM大数据与分析# shared comments on this campaign
• IBM中国 WeChat gains 108 fans increase (usually 5—6 increase per day)
Retweets 62
Comments 25
http://e.weibo.com/1937649537/zBD4pcrV0?type=repost
Retweets 265
Comments 55
Retweets 26
Comments 13
Retweets 15
Comments 9
http://e.weibo.com/1937649537/zBGILxvxl?type=repost
http://e.weibo.com/1937649537/zBEIsf6U5?type=repost
http://e.weibo.com/1937649537/zBFrB7H44?type=repost
16. Page 16
CSDN付江V
#IBM大数据与分析# 现场160部感应电话 160个案例故事 录音为主 但也有人人游
戏、联动优势、太平洋保险…十多家安排实时应答和与现场观众互动。
蒋湘辉V
(zdnet)
丑贸天阶#IBM大数据与分析#现场播放的大幅视频主题还是大数据。
松长老
没想到IBM已经有这么多成熟的大数据故事啦,看看现场这许多电话就知道了#IBM
大数据与分析# @IBM中国
SLEIM-Z
#IBM大数据与分析#作为@IBM中国 智能城市中强大的组成部分,IBM大数据与分
析在丑界各地的广泛应用强大的阐释了大数据的使用概念。讲述了大数据分析在快
消品中的应用。而丐今天在丑贸天街的一大堆电话也很好玩哦!!
叶茹PattyV
数据会说话,拿起电话听故事,这么这么多电话,听哪一部才好呢,连线全丑界!?
#IBM大数据与分析#@IBM中国
我是赵亚V #IBM大数据与分析#非帯好的创意和体验
echolj
大数据与分析已迚入食品、交通、医疗、住宿、旅游、娱乐等各个领域〜连线大数
据与分析,连线生活的斱斱面面。。。#IBM大数据与分析# @IBM中国
媒有圈V
#IBM大数据与分析# 小圈亲临IBM的连线活动现场,位于丑贸天阶东广场,近200
部电话,知名客户等您来电,连线IBM的百余真实客户,讲述IBM大数据与分析的
前生今丑、实践故事。大数据在这里!超级有创意的活动,对于很多电商企业值得
细细研究@IBM中国
南极yolanda
#IBM大数据与分析# @IBM中国每个电话都很有意思,警察局,还有同仁医院〜欢
迎来到大数据时代〜
老申申V
#IBM大数据与分析# 原来大数据的概念已经有如此多的落地,动物园、医院这些我
们身边平帯的不能再平帯地斱都已落地。@IBM中国的大数据案例我在丑贸天阶看
到200多例
范卡比 #IBM大数据与分析#@汪聪聪快看 美网的大数据分析是 由@IBM中国 搞定的
塞万提斯公爵
复制空间的梦幻场景,IBM以艺术装置的形势做起了摸得到感受得到的一种全新大
数据体验,IBM没有消失,反而更壮大了。@IBM中国 #IBM大数据与分析#
Social Impact on Event Day
4,209
INITIATIVE POSTS --
Tagged #IBM大数据与分析#
Shared the Comments
@IBM中国
Dozens of positive
comments and forwards
from KOLs such as @CSDN蒋
涛, @蒋湘辉 (ZDNet), @硅谷动力
eNet
People impressed by so
many IBM big data
stories , and enjoy this
creative combination
of science & art
18. Page 18
Event generated content dissemination Strategy
• Timely and resonating press release to influence TA for brand
amplification and drive to campaign site for DG objective.
• Pervasive publishing of the event video on owned platforms to
attract case reference download and response collection.
• Designed sharable social content (with pictures & video clips) for
constant positive social mentions.
• Event video and tens of client cases as an IBM owned asset to be
used in future tactics.
19. Weibo Account Roadmap
Page 19
#Big Data Stories
Recording
#Press Releases
CA big data minisite
Chinabyte, Zdnet, HBR, Caijing
#Event Video
Youku IBM Homepage& Tech
Homepage
IBM.com
Registration
OutboundCall
Social Media
Engagement
LDR
Campaign Site URL:
http://bigdata.easybluestore.com
/call
20. Timeline
Page 20
Time: Content Focus Drive-to Platform Support:
6.24– 7.25
Shareable Social Content
(big data story recording,
pictures& clips)
Campaign Site
weibo, wechat,Big Data CA
minisite(zdnet, chinabyte, HBR,
Caijing, CSDN university)
6.25—7.25 Press Release
Weibo Matrix:@IBM中国, @
IT 客, @BAO先生要说话,@
爱踢派的奇思妙想
7.1—7.25 Event Video
IBM中国youku platform, weibo,
wechat, 豆瓣, Big Data CA
minisite, campaign site
7.2– 7.5
July 3 Campaign
Telephone on Shanghai
Forum
weibo, wechat,Big Data CA
minisite
22. Campaign Telephone Key Milestone
Page 22
6.16 Campaign Telephone
Event Day
5.28 Campaign Telephone
Pilot on Big Forum
6.1 Campaign Site
Launch
6.10 eDM, weibo,wechat,
Douban,CA media preheat
7.1 Viral Video launch
7.3 Campaign Telephone
On Shanghai Forum
5.10 Co-branding
Invitation
23. 238 O/B calls to IBM Clients & BP, 11
calls with business needs (4.62%).
59 O/B calls to LDR, 11 calls with
deeper touch (18.64%).
Hot topic as below:
1. 询问IBM大数据与分析在能源行业能够为他们
提供怎样的帮助。
2. 询问IBM大数据与分析在金融(国际外汇)与
培训行业能够提供怎样的服务与帮助。
3. 询问IBM大数据与分析在酒店行业能够提供怎
样的帮助。
4. 询问IBM大数据与分析在财务管理与统计方面
能够提供怎样的服务。
5. 询问IBM大数据与分析在网游、IT行业能够提
供怎样的帮助。
6. 询问IBM大数据与分析如何能够帮助个人戒群
众获益(即大数据能够为个人提供怎样的服务
)。
7. 询问IBM大数据与分析和中小企业的合作情况
。
Page 23
案例 BP I/B Prospects
以岭药业 景华天创 20
斗山机械工程 析数软件 15 1
惠买商城 析数软件 23 10
新奇特汽车服务 IT Channel 30
乡村基 天子星 10
太平洋保险 凯捷 15
国元保险 凯捷 25
人人游戏 30
链家地产 61
联动优势 9
IBMer 59 11
Total 297 22
Conversation rate 7.41%
O/B Call Summary
25. Weibo ev-
ent preheat
Action
Optimized Customer Journey
Campaign Objective: Convey IBM’s capability in the Big Data/Analytics territory through the 200 wired telephone
installation which symbolizes IBM’s mass volume of best practices in Big Data/Analytics.
IBM.com
event
preheat
Douban
Event Page
Event
invitation
eDM
Event DayPre-event
Share to social
platforms
QR scan for
following @IBM
China weibo
Campaign
Site
Post-event
DesireInterestAwareness
eDM
WeChat
Info Push
Registration for
asset downloads
Outbound
Call
Attendee
LDR
LEADS
CampaignTA
Outbound to
on-site
IBM LDR/Sales
LDR
WAPsite visits and
registration
Video
Shooting
Telephone
Installation
Campaign Site
WAPsite
Easyblue
Store.com
TWT
forums
CSDN University
Youku
Virtual
Event
Physical
Event
IBM.com
Zdnet Big Data
Minisite (CA)
HBR Big Data
Minisite (CA)
Caijing Big Data
Minisite (CA)
ChinaByte Big
Data Minisite (CA)
LDR
IBM.com
Registration
Visit campaign
site
OutboundCall
Social Media
Engagement
Paid & owned platform visits
Earned social sharing
Passersby
Event generated content dissemination
Strategy
• Designed sharable social content
(with pictures & video clips) for
positive social mentions .
• Timely and resonating press release
to influence TA and drive to
campaign site for DG objective.
• Pervasive publishing of the event
video on owned platforms with clear
& prominent registration CTA to
collect response.
• Event video as an IBM owned asset
to be used in future tactics.
On-site iPad
Registration
26. Appendix –Social Media Account Nomination
IBM Owned:
1. IBM中国
2. IBM大数据与分析
Cooped Media:
1. 哈佛商业评论(CA cooped media)
2. ChinaByte (CA cooped media)
3. ZDNet (CA cooped media)
General Interest Tech Accounts:
1. 腾讯科技
2. TechWeb
3. 果壳网
I. WeChat official account
recommendation:
II. Weibo account
recommendation:
IBM Owned:
1. @IBM中国
2. @IT客
3. @BAO先生要说话
4. @IBM智慧的运算
5. @IBM丏家集成系统
6. @社交商务IBM
7. @首席营销观察网站
Cooped Media:
1. @财经网 (CA cooped
media)
2. @哈佛商业评论(CA
cooped media)
3. @ChinaByte比特网 (CA
cooped media)
SME:
1. @老刀IBM
2. @陈果_George
3. BunnyZZ
General Interest Tech
Accounts:
1. @果壳网
2. @TechWeb
3. @36氪
4. @虎嗅网
..input welcome