An overview of Customer Data Platforms (CDP) with the industry leader who coined the term, David Raab. Find out how to use Live Customer Data to create a better customer experience and how Live Data Management can give you a competitive edge with a 360 degree view of your clients.
Learn:
- The definition and requirements for Customer Data Platforms
- The differences between Customer Data Platforms and comparative technologies such as Data Warehousing and Marketing Automation
- Reference architectures/approaches to building CDP
- How Treasure Data is used to build Customer Data Platforms
And here's the song: https://youtu.be/RalMozVq55A
Transform your marketing and sales capabilities with Big Data and A.I
1) Why is Customer Data Platform (CDP) ?
Case study: Enhancing the revenue of your restaurant with CDP and mobile app marketing
Question: Why can CDP disrupt business model for restaurant industry (B2C) ?
2) How would CDP work in practice ?
Introducing USPA.tech as logical framework for implementing CDP in practice
How Can a Customer Data Platform Enhance Your Account-Based Marketing Strategy (B2B) ?
3) How can we implement CDP for business?
Introducing the CDP as customer-first marketing platform for all industries (my key idea in this slide)
Wish you could leverage all your customer data to increase the efficiency and effectiveness of your marketing campaigns? With the emergence of Customer Data Platforms (CDP) and the compliance requirements of GDPR, companies should be seizing the opportunity to access real-time, unsiloed customer data to drive better engagements and stronger conversions. This presentation will cover how a CDP solves for marketing data pains and see how Mapp Digital customers take advantage of CDP in a post-GDPR era.
I gave a talk at North California Business Marketing Association on Customer Data Platform with examples ranging from Uber Grayballing to Zoom's customer retention email and "dogs or muffins".
What is (and who needs) a customer data platform?Angela Sun
If you’ve recently heard a lot of talk about a Customer Data Platform (CDP) and how it can help companies better understand and act on data, you’re not alone. But what really is a CDP? Why does it exist, who is it for and how might you use it? Here’s what you need to know.
Gartner named customer data platforms (CDPs) one of the key technologies that will demand marketers’ attention in 2018. Michael Katz, Cofounder and CEO of mParticle, explains why CDPs are not just another acronym and how consumer brands ranging from Airbnb to NBCUniversal to Zappos are using them to optimize omnichannel customer experiences and marketing outcomes, in all the moments that matter.
Originally presented at AdExchanger Industry Preview 2018 by Michael Katz, Cofounder and CEO, mParticle.
Transform your marketing and sales capabilities with Big Data and A.I
1) Why is Customer Data Platform (CDP) ?
Case study: Enhancing the revenue of your restaurant with CDP and mobile app marketing
Question: Why can CDP disrupt business model for restaurant industry (B2C) ?
2) How would CDP work in practice ?
Introducing USPA.tech as logical framework for implementing CDP in practice
How Can a Customer Data Platform Enhance Your Account-Based Marketing Strategy (B2B) ?
3) How can we implement CDP for business?
Introducing the CDP as customer-first marketing platform for all industries (my key idea in this slide)
Wish you could leverage all your customer data to increase the efficiency and effectiveness of your marketing campaigns? With the emergence of Customer Data Platforms (CDP) and the compliance requirements of GDPR, companies should be seizing the opportunity to access real-time, unsiloed customer data to drive better engagements and stronger conversions. This presentation will cover how a CDP solves for marketing data pains and see how Mapp Digital customers take advantage of CDP in a post-GDPR era.
I gave a talk at North California Business Marketing Association on Customer Data Platform with examples ranging from Uber Grayballing to Zoom's customer retention email and "dogs or muffins".
What is (and who needs) a customer data platform?Angela Sun
If you’ve recently heard a lot of talk about a Customer Data Platform (CDP) and how it can help companies better understand and act on data, you’re not alone. But what really is a CDP? Why does it exist, who is it for and how might you use it? Here’s what you need to know.
Gartner named customer data platforms (CDPs) one of the key technologies that will demand marketers’ attention in 2018. Michael Katz, Cofounder and CEO of mParticle, explains why CDPs are not just another acronym and how consumer brands ranging from Airbnb to NBCUniversal to Zappos are using them to optimize omnichannel customer experiences and marketing outcomes, in all the moments that matter.
Originally presented at AdExchanger Industry Preview 2018 by Michael Katz, Cofounder and CEO, mParticle.
CDP - 101 Everything you need to know about Customer Data PlatformsEddy Widerker
There has been a lot of buzz around Customer Data Platforms (CDP) in the past months/years. This presentation gives you a great overview of what a CDP is, the similarities across different systems such as a DMP or CRM. As well as valuable questions that help you determine if your organization needs a Customer Data Platform.
At the same time, if you find yourself being a bit overwhelmed with all of the 1st 2nd or 3rd party data targeting options from, I'd highly recommend using a service like ClearSegment to understand various data providers - it's data collection methodologies as well as their individual segments. https://clearsegment.com/
Accelerate Revenue with a Customer Data PlatformLattice Engines
This webinar covers two things:
1. Steve Casey of Forrester Research walks through what a CDP is and key use-cases
2. Steve Scotkin, Senior Director of Marketing Technology at Thomson Reuters gives an inside look at how a Customer Data Platform is enabling Thomson Reuters transform into a customer-centric company.
Behind the Buzzword: Understanding Customer Data Platforms in the Light of Pr...Rising Media Ltd.
Customer Data Platform (CDP) systems are the newest answer to an old question: how to assemble a complete view of each customer. This session explores the reality of what CDPs can and cannot do, how CDPs differ from other systems, the types of CDP systems available, and how to find the right CDP for your purpose, especially with regard to data science projects and predictive modeling. You will come away with a clear understanding of where CDP fits into the larger data management landscape, what distinguishes CDP from older approaches to customer data management, and the state of the CDP industry in Europe.
Marketers have more data available than ever but struggle to pull in together in a usable format. Customer Data Platforms promise to solve this problem by offering easy-to-deploy systems specializing in data unification and sharing. But can CDP really deliver on its promise? This workshop will equip you to understand the definition of a CDP, how CDPs differ from other systems, which features are shared by all CDPs and which are found in only some, the most important CDP use cases, how to select the right CDP, how to manage a successful deployment and where to look next for more information.
Why Do Banks Need A Customer Data Platform?Lemnisk
Banks traditionally have been known to amass customer information across both online and offline data channels. However, a lot of this data resides in silos and marketers have been unable to leverage this data to run targeted marketing campaigns. Here are the top four reasons why a Customer Data Platform would be best suited for Banks.
Creating a clearly articulated data strategy—a roadmap of technology-driven capability investments prioritized to deliver value—helps ensure from the get-go that you are focusing on the right things, so that your work with data has a business impact. In this presentation, the experts at Silicon Valley Data Science share their approach for crafting an actionable and flexible data strategy to maximize business value.
Helping brands to foster deeper customer relationships mParticle
A brief introduction to the mParticle Customer Data Platform. In 5 mins learn how mParticle's API-powered consumer data platform is used by customer-centric organizations to fuel amazing Customer Experiences and improve Customer Lifetime Value.
Alex Kesaris
akesaris@mparticle.com
+447400999957
Customer Event Hub - the modern Customer 360° viewGuido Schmutz
Today, companies are using various channels to communicate with their customers. As a consequence, a lot of data is created, more and more also outside of the traditional IT infrastructure of an enterprise. This data often does not have a common format and they are continuously created with ever increasing volume. With Internet of Things (IoT) and their sensors, the volume as well as the velocity of data just gets more extreme.
To achieve a complete and consistent view of a customer, all these customer-related information has to be included in a 360 degree view in a real-time or near-real-time fashion. By that, the Customer Hub will become the Customer Event Hub. It constantly shows the actual view of a customer over all his interaction channels and provides an enterprise the basis for a substantial and effective customer relation.
In this presentation the value of such a platform is shown and how it can be implemented.
BI Consultancy - Data, Analytics and StrategyShivam Dhawan
The presentation describes my views around the data we encounter in digital businesses like:
- Looking at common Data collection methodologies,
-What are the common issues within the decision support system and optimiztion lifecycle,
- Where are most of failing?
and most importantly, "How to connect the dots and move from Data to Strategy?"
I work with all facets of Web Analytics and Business Strategy and see the structures and governance models of various domains to establish and analyze the key performance indicators that allow you to have a 360º overview of online and offline multi-channel environment.
Apart from my experience with the leading analytic tools in the market like Google Analytics, Omniture and BI tools for Big Data, I am developing new solutions to solve complex digital / business problems.
As a resourceful consultant, I can connect with your team in any modality or in any form that meets your needs and solves any data/strategy problem.
Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join Nigel Turner and Donna Burbank as they provide practical ways to control Data Quality issues in your organization.
Watch full webinar here: https://bit.ly/3mdj9i7
You will often hear that "data is the new gold"? In this context, data management is one of the areas that has received more attention from the software community in recent years. From Artificial Intelligence and Machine Learning to new ways to store and process data, the landscape for data management is in constant evolution. From the privileged perspective of an enterprise middleware platform, we at Denodo have the advantage of seeing many of these changes happen.
In this webinar, we will discuss the technology trends that will drive the enterprise data strategies in the years to come. Don't miss it if you want to keep yourself informed about how to convert your data to strategic assets in order to complete the data-driven transformation in your company.
Watch this on-demand webinar as we cover:
- The most interesting trends in data management
- How to build a data fabric architecture?
- How to manage your data integration strategy in the new hybrid world
- Our predictions on how those trends will change the data management world
- How can companies monetize the data through data-as-a-service infrastructure?
- What is the role of voice computing in future data analytic
DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...DATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task. The opportunity in getting it right can be significant, however, as data drives many of the key initiatives in today’s marketplace: digital transformation, marketing, customer centricity, and more. This webinar will help de-mystify Data Strategy and Data Architecture and will provide concrete, practical ways to get started.
Presentation on Data Mesh: The paradigm shift is a new type of eco-system architecture, which is a shift left towards a modern distributed architecture in which it allows domain-specific data and views “data-as-a-product,” enabling each domain to handle its own data pipelines.
DAS Slides: Building a Data Strategy — Practical Steps for Aligning with Busi...DATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task. The opportunity in getting it right can be significant, however, as data drives many of the key initiatives in today’s marketplace from digital transformation, to marketing, to customer centricity, population health, and more. This webinar will help de-mystify data strategy and data architecture and will provide concrete, practical ways to get started.
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace, from digital transformation to marketing, customer centricity, population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Microsoft Dynamics 365 - Intelligent Business ApplicationsDavid J Rosenthal
Dynamics 365 is our business application offering that allows you, our customers, to go on your digital transformation journey.
It's our set of packaged solutions across marketing, sales, service, operations, finance, talent -- that modernize and transform these processes to allow you to go on your journey.
We're going to talk today about sort of what makes Dynamics 365 special, what makes it different, why it's not the same old same old business applications. And there are four characteristics that we'll sort of hit on in a stepwise manner.
They're modern, unified, intelligent, and adaptable. And so let's click through each one of those and talk about what we mean when we say those words.
Antti Ujainen, co-founder and CEO of SBD, kicks off the Marketing Automation Unplugged-event which was held on February 5th 2015. In his presentation, Antti describes the problems that marketing automation can solve, presenting a triangle framework which consists of your brand, your customer and the media through which you communicate with your customers. He also has the low-down on media consumption in this day and age and suggests that marketing and sales need to communicate in a more streamlined fashion. Towards the end he suggests a couple of frameworks for succeeding in implementing a marketing automation system and presents a couple of cases in which SBD have successfully solved their clients' problems.
CDP - 101 Everything you need to know about Customer Data PlatformsEddy Widerker
There has been a lot of buzz around Customer Data Platforms (CDP) in the past months/years. This presentation gives you a great overview of what a CDP is, the similarities across different systems such as a DMP or CRM. As well as valuable questions that help you determine if your organization needs a Customer Data Platform.
At the same time, if you find yourself being a bit overwhelmed with all of the 1st 2nd or 3rd party data targeting options from, I'd highly recommend using a service like ClearSegment to understand various data providers - it's data collection methodologies as well as their individual segments. https://clearsegment.com/
Accelerate Revenue with a Customer Data PlatformLattice Engines
This webinar covers two things:
1. Steve Casey of Forrester Research walks through what a CDP is and key use-cases
2. Steve Scotkin, Senior Director of Marketing Technology at Thomson Reuters gives an inside look at how a Customer Data Platform is enabling Thomson Reuters transform into a customer-centric company.
Behind the Buzzword: Understanding Customer Data Platforms in the Light of Pr...Rising Media Ltd.
Customer Data Platform (CDP) systems are the newest answer to an old question: how to assemble a complete view of each customer. This session explores the reality of what CDPs can and cannot do, how CDPs differ from other systems, the types of CDP systems available, and how to find the right CDP for your purpose, especially with regard to data science projects and predictive modeling. You will come away with a clear understanding of where CDP fits into the larger data management landscape, what distinguishes CDP from older approaches to customer data management, and the state of the CDP industry in Europe.
Marketers have more data available than ever but struggle to pull in together in a usable format. Customer Data Platforms promise to solve this problem by offering easy-to-deploy systems specializing in data unification and sharing. But can CDP really deliver on its promise? This workshop will equip you to understand the definition of a CDP, how CDPs differ from other systems, which features are shared by all CDPs and which are found in only some, the most important CDP use cases, how to select the right CDP, how to manage a successful deployment and where to look next for more information.
Why Do Banks Need A Customer Data Platform?Lemnisk
Banks traditionally have been known to amass customer information across both online and offline data channels. However, a lot of this data resides in silos and marketers have been unable to leverage this data to run targeted marketing campaigns. Here are the top four reasons why a Customer Data Platform would be best suited for Banks.
Creating a clearly articulated data strategy—a roadmap of technology-driven capability investments prioritized to deliver value—helps ensure from the get-go that you are focusing on the right things, so that your work with data has a business impact. In this presentation, the experts at Silicon Valley Data Science share their approach for crafting an actionable and flexible data strategy to maximize business value.
Helping brands to foster deeper customer relationships mParticle
A brief introduction to the mParticle Customer Data Platform. In 5 mins learn how mParticle's API-powered consumer data platform is used by customer-centric organizations to fuel amazing Customer Experiences and improve Customer Lifetime Value.
Alex Kesaris
akesaris@mparticle.com
+447400999957
Customer Event Hub - the modern Customer 360° viewGuido Schmutz
Today, companies are using various channels to communicate with their customers. As a consequence, a lot of data is created, more and more also outside of the traditional IT infrastructure of an enterprise. This data often does not have a common format and they are continuously created with ever increasing volume. With Internet of Things (IoT) and their sensors, the volume as well as the velocity of data just gets more extreme.
To achieve a complete and consistent view of a customer, all these customer-related information has to be included in a 360 degree view in a real-time or near-real-time fashion. By that, the Customer Hub will become the Customer Event Hub. It constantly shows the actual view of a customer over all his interaction channels and provides an enterprise the basis for a substantial and effective customer relation.
In this presentation the value of such a platform is shown and how it can be implemented.
BI Consultancy - Data, Analytics and StrategyShivam Dhawan
The presentation describes my views around the data we encounter in digital businesses like:
- Looking at common Data collection methodologies,
-What are the common issues within the decision support system and optimiztion lifecycle,
- Where are most of failing?
and most importantly, "How to connect the dots and move from Data to Strategy?"
I work with all facets of Web Analytics and Business Strategy and see the structures and governance models of various domains to establish and analyze the key performance indicators that allow you to have a 360º overview of online and offline multi-channel environment.
Apart from my experience with the leading analytic tools in the market like Google Analytics, Omniture and BI tools for Big Data, I am developing new solutions to solve complex digital / business problems.
As a resourceful consultant, I can connect with your team in any modality or in any form that meets your needs and solves any data/strategy problem.
Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join Nigel Turner and Donna Burbank as they provide practical ways to control Data Quality issues in your organization.
Watch full webinar here: https://bit.ly/3mdj9i7
You will often hear that "data is the new gold"? In this context, data management is one of the areas that has received more attention from the software community in recent years. From Artificial Intelligence and Machine Learning to new ways to store and process data, the landscape for data management is in constant evolution. From the privileged perspective of an enterprise middleware platform, we at Denodo have the advantage of seeing many of these changes happen.
In this webinar, we will discuss the technology trends that will drive the enterprise data strategies in the years to come. Don't miss it if you want to keep yourself informed about how to convert your data to strategic assets in order to complete the data-driven transformation in your company.
Watch this on-demand webinar as we cover:
- The most interesting trends in data management
- How to build a data fabric architecture?
- How to manage your data integration strategy in the new hybrid world
- Our predictions on how those trends will change the data management world
- How can companies monetize the data through data-as-a-service infrastructure?
- What is the role of voice computing in future data analytic
DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...DATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task. The opportunity in getting it right can be significant, however, as data drives many of the key initiatives in today’s marketplace: digital transformation, marketing, customer centricity, and more. This webinar will help de-mystify Data Strategy and Data Architecture and will provide concrete, practical ways to get started.
Presentation on Data Mesh: The paradigm shift is a new type of eco-system architecture, which is a shift left towards a modern distributed architecture in which it allows domain-specific data and views “data-as-a-product,” enabling each domain to handle its own data pipelines.
DAS Slides: Building a Data Strategy — Practical Steps for Aligning with Busi...DATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task. The opportunity in getting it right can be significant, however, as data drives many of the key initiatives in today’s marketplace from digital transformation, to marketing, to customer centricity, population health, and more. This webinar will help de-mystify data strategy and data architecture and will provide concrete, practical ways to get started.
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace, from digital transformation to marketing, customer centricity, population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Microsoft Dynamics 365 - Intelligent Business ApplicationsDavid J Rosenthal
Dynamics 365 is our business application offering that allows you, our customers, to go on your digital transformation journey.
It's our set of packaged solutions across marketing, sales, service, operations, finance, talent -- that modernize and transform these processes to allow you to go on your journey.
We're going to talk today about sort of what makes Dynamics 365 special, what makes it different, why it's not the same old same old business applications. And there are four characteristics that we'll sort of hit on in a stepwise manner.
They're modern, unified, intelligent, and adaptable. And so let's click through each one of those and talk about what we mean when we say those words.
Antti Ujainen, co-founder and CEO of SBD, kicks off the Marketing Automation Unplugged-event which was held on February 5th 2015. In his presentation, Antti describes the problems that marketing automation can solve, presenting a triangle framework which consists of your brand, your customer and the media through which you communicate with your customers. He also has the low-down on media consumption in this day and age and suggests that marketing and sales need to communicate in a more streamlined fashion. Towards the end he suggests a couple of frameworks for succeeding in implementing a marketing automation system and presents a couple of cases in which SBD have successfully solved their clients' problems.
Often dubbed as the ‘change agents’ for an organisation, CIOs today are entrusted with the most important task of leveraging technology for a company’s success. Right technology implementation is the nub for accelerating the profitability of an organisation.
With the advent of digital transformation, CIOs are curating their technology roadmap and leaving no stone unturned to check the tech trends and ride on the latest technology bandwagon.
According to Gartner CIO agenda survey, about 51% CIOs are taking charge of innovation and 49% are heading digital transformation. Large scale digital transformations take 3-5 years on average to yield significant results.
Business expense automation is one of the most crucial areas of digital transformation. About 95% of companies have standardized processes, but still organizations are losing huge amount of money owing to frauds.
The need of the hour is one such solution that promises to provide a lot of benefits for minimal cost. At the same time, since the traditional methods have been working well for decades, why would businesses move away from such established systems and opt for automated expense management?
SAP Fuqua Tech Symposium 2016 Keynote: Driving Live Customer ExperiencesFred Isbell
Abstract: Digital disruption comes with unprecedented opportunities and risks. Trends and technologies such as cloud, IoT, blockchain and others are fundamentally reshaping how companies create value. Ajit will discuss SAP’s perspectives on these tectonic shifts, marketing and strategy, and how the right approach to digital transformation can unleash infinite possibilities for innovation.
Speaker: Ajit Kaicker is the Global Vice-President for Marketing Strategy at SAP. Previous roles in his 20-year career include strategy consulting, digital and social community leadership, go-to-market planning and field enablement. His research contributions have been published in the Journal of Business Research, The Journal of Services Marketing, and the Journal of Food Products Marketing. Ajit has both a PhD and an MBA from the University of South Carolina-Columbia.
B2B Health Check: 5 Steps to eCommerce Fitness [WEBINAR]Four51, Inc.
Webinar Slides from 2/4/16 webinar
73% of B2B buyers now research at least half of their purchases online. Increasingly, they buy online as well. But too many of the websites of manufacturers, wholesalers and distributors aren’t in shape to make the most of this big opportunity to grow sales.
Today, agility, speed and rich features are what distinguish successful B2B e-commerce sites and empower them to deliver an online experience that mirrors what B2B buyers have come to expect from shopping retail websites.
From data management to streamlining key processes to mobile's role, this webinar will cover the tactics and technology online B2B sellers must prioritize to become best-in-class, driving sales and profits.
Hear from Aberdeen Group's Omer Minkara, Newegg's Ross Higgins, Four51's Chip House and Internet Retailer's Don Davis as we explore exactly what must be done to ensure your site is ready for 2016 and beyond.
Questions? Email marketing@four51.com
Keynote Lavacon 2016 - Content as a Strategic Asset Aaron Fulkerson
Several macro-trends in business and emerging technologies have turned content into a strategic asset for businesses. Disintermediation, new conversational user interfaces, internet of things, and the move to customer success are some of these trends.
For more information on trends, read: http://mndt.ch/selfservnow
Atomic 212 & Google Analytics 360 Event - The Value in DataTom Sheppard
This presentation shows you the value of connecting all the marketing dots through using a single ad tech solution, such as Analytics 360 (formerly Google Analytics Premium). Not only is is about having the right tech solution in place it is about having the right culture and mindset. This presentation was presented at Google's HQ in Sydney in April 2016.
How to Achieve Great Campaign Results by Correctly Leveraging Programmatic Te...PerformanceIN
James Diba, Client Partner of The Programmatic Advisory will discuss some of the techniques brands and buyers can use to drive high-performing campaigns with programmatic technologies. He'll delve into how to leverage DMPs, DSPs and dynamic creative successfully to generate better returns on investment.
*****
As presented at PI LIVE 2018 - Europe's premier Performance Marketing Conference - https://performancein.live
Results from the 2014 Conversion Rate Optimization Survey.
2,300 TrustRadius members and 1,800 site visitors were asked to participate in the 2014 CRO survey to understand their practice maturity level, tool usage and spend on Digital Analytics and A/B testing software. The key results are included in this presentation.
Today’s client is smart and getting smarter by the minute. From virtually anywhere, they can find out about you, your firm, your competitors, whether your clients are happy—and most importantly, with a mere 140 characters, they can impact your brand.
• Today, law firms must face the reality of super consumers. They are unbelievably informed, highly fickle, and extremely powerful with a nearly unpredictable purchase path.
• They have unprecedented access to information, the ability to easily compare firms, fees or feedback in a matter of clicks, access to reviews—whether from a trusted confidant, highly rated industry source, or someone merely taking to their social network to make their experience known.
• And they can easily do the same—joining the social conversation with their experience and recommendation to others – giving a “like”, “thumbs up”, happy face, or not, and with a click of the button can make an impression on your brand.
• Everyone has probably heard the United Breaks Guitars story; it epitomizes the challenge firms face – each individual now has a powerful voice. In this example, United Airlines was unresponsive to a passenger’s complaints that his guitar was broken by negligent baggage handlers (he actually saw them throwing his beloved instrument through the air as he was waiting to deplane). This treatment lead him to record a song about his experience that he posted on YouTube. Over 12 million views later, this YouTube sensation has written a book on the very topic of how powerful one voice can be in the age of social media.
encendo helps you understand how your digital marketing activities will impact your end objective. Francis Mac Aonghus, Head of Online at encendo, explores the principle of a digital marketing strategy.
The explosion of the social conversation along with the proliferation of mobile technology has changed our lives, more than we ever could have imagined.
The explosion of mobile technologies and rapid adoption of social networks have completely impacted our human behavior -- our communication methods, engagement principles, our belief and trust systems, and even our decision making criteria and models.
Firms need to understand these new principles and adopt them -- genuinely and proactively -- if they want to effectively engage clients.
How has the client changed and why does your firm need to reflect this? Because your success will depend on it, and so will your identity.
Today’s buyer is smart and getting smarter by the minute. From virtually anywhere, they can find out about you, your services, your competitors, whether your clients are happy—and most importantly, with a mere 140 characters, they can impact your brand.
Today, firms must face the reality of super consumers. They are unbelievably informed, highly fickle, and extremely powerful with a nearly unpredictable purchase path.
They have unprecedented access to information, the ability to easily compare fees, costs or services in a matter of clicks, access to reviews—whether from a trusted confidant, highly rated industry source, or someone merely taking to their social network to make their experience known.
And they can easily do the same—joining the social conversation with their experience and recommendation to others – giving a “like”, “thumbs up”, happy face, or not, and with a click of the button can make an impression on your brand.
It is no surprise then that firms who wish to remain competitive in this new age are concentrating their efforts on creating amazing client experiences…
Today’s marketing leadership is being tasked with creating lasting relationships and loyalty among their customer base.
Yet so much of how we engage with customers and prospects is campaign driven, activating specific actions in a single moment in time.
As the development of a robust and connected customer experience strategy becomes the linchpin to CMO success, the question is now more important than ever: Can loyalty and advocacy be built…and how?
This presentation walks through some of the challenges and considerations CMO need to explore in order to reframe how their brands engages their customers like never before.
The new GDPR regulation went into effect on May 25th. While a majority of conversations have revolved around the security and IT aspects of the law, marketing teams will play a crucial role in helping organizations meet GDPR standards and playing a strategic role across the organization . Join us to learn more, engage with your peers and get prepared.
This webinar will cover:
- How complying with the GDPR will drive better marketing and raise the standard of the quality of your customer engagement
- The GDPR elements marketers must know about
- The elements of PII that will be affected and what marketers need to do about it
- A deep dive on how GDPR regulations will affect your marketing channels - email, programmatic advertising, cold calls, etc.
- Tactical marketing updates needed to meet GDPR guidelines
AR and VR by the Numbers: A Data First Approach to the Technology and MarketTreasure Data, Inc.
With AR and VR technologies, it’s the first time that data collection has been part of the front-end strategy vs back-end process. As companies compete to create new, interactive experiences, data is the tool of choice to measure all aspects of player engagement and marketing effectiveness. In this webinar, two industry experts, Nicolas Nadeau and Andrew Mayer, will talk about the trends driving AR and VR markets today, and what data-driven approaches companies need to think about to compete in these markets tomorrow.
In this hands-on webinar we will cover how to leverage the Treasure Data Javascript SDK library to ensure user stitching of web data into the Treasure Data Customer Data Platform to provide a holistic view of prospects and customers.
We will demo the native SDK, as well as deploying the SDK inside of Adobe DTM and Google Tag Manager.
Hands-On: Managing Slowly Changing Dimensions Using TD WorkflowTreasure Data, Inc.
In this hands-on webinar we'll explore the data warehousing concept of Slowly Changing Dimensions (SCDs) and common use cases for managing SCDs when dealing with customer data. This webinar will demonstrate different methods for tracking SCDs in a data warehouse, and how Treasure Data Workflow can be used to create robust data pipelines to handle these processes.
Brand Analytics Management: Measuring CLV Across Platforms, Devices and AppsTreasure Data, Inc.
Gaming companies with multiple products often struggle to calculate accurate Customer Lifetime Value (CLTV) across their portfolio. This is because user data is often analyzed in silos so companies are unable to get a clear picture of ROI and CLTV across platforms, devices and apps.
In this webinar we’ll look at how you can apply a holistic and complete approach to your CLTV and ROI through the lens of gaming companies, though this technique is applicable for any company who has products spanning platforms.
We’ll also explore:
How the integral power of data in business has shifted over the past 10 years.
Discover the current technologies and processes used to analyze data across different platforms by combining multiple data streams, looking at examples in brand and portfolio-based LTV.
How to process and centralize dozens of varying data streams.
Nicolas Nadeau will speak from his extensive experience and show how leveraging data from multiple product strategies spanning many platforms can be highly beneficial for your company.
Do you know what your top ten 'happy' customers look like? Would you like to find ten more just like them? Come learn how to leverage 1st & 3rd party data to map your customer journey and drive users down a path where every interaction is personalized, fun, & data-driven. No more detractors, power your Customer Experience with data!
In this webinar you will learn:
-When, why, and how to leverage 1st, 2nd, and 3rd party data
-Tips & Tricks for marketers to become more data driven when launching their campaigns
-Why all marketers needs a 360 degree customer view
The reality is virtual, but successful VR games still require cold, hard data. For wildly popular games like Survios’ Raw Data, the first VR-exclusive game to reach #1 on Steam’s Global Top Sellers list, data and analytics are the key to success.
And now online gaming companies have the full-stack analytics infrastructure and tools to measure every aspect of a virtual reality game and its ecosystem in real time. You can keep tabs on lag, which ruins a VR experience, improve gameplay and identify issues before they become showstoppers, and create fully personalized, completely immersive experiences that blow minds and boost adoption, and more. All with the right tools.
Make success a reality: Register now for our latest interactive VB Live event, where we’ll tap top experts in the industry to share insights into turning data into winning VR games.
Attendees will:
* Understand the role of VR in online gaming
* Find out how VR company Survios successfully leverages the Exostatic analytics infrastructure for commercial and gaming success
* Discover how to deploy full-stack analytics infrastructure and tools
Speakers:
Nicolas Nadeau, President, Exostatic
Kiyoto Tamura, VP Marketing, Treasure Data
Ben Solganik, Producer, Survios
Stewart Rogers, Director of Marketing Technology, VentureBeat
Wendy Schuchart, Moderator, VentureBeat
Harnessing Data for Better Customer Experience and Company SuccessTreasure Data, Inc.
As big data has exploded, the ability for companies to easily leverage it has imploded. Organizations are drowning in their own information, unable to see the forest through the trees, while the big players consistently outperform in their ability to deliver a great customer experience, faster, cheaper…As a result, the vast majority of companies are scrambling to catch up and become more agile, data-driven, to use their data more effectively so they can attract and retain their elusive customers...
In this joint deck by 451 Research and Treasure Data, you will learn how to enable your line of business team to own their own data (instead of relying on IT) to be able to:
- deliver a single, persistent view of your customer based on behavior data
- make that data accessible to the right people at the right time
- Increase organizational effectiveness by (finally) breaking down silos with data
- enable powerful marketing tools to enhance the customer experience
How to make your open source project MATTER
Let’s face it: most open source projects die. “For every Rails, Docker and React, there are thousands of projects that never take off. They die in the lonely corners of GitHub, only to be discovered by bots scanning for SSH private keys.
Over the last 5 years, I worked on and off on marketing a piece of infrastructure middleware called Fluentd. We tried many things to ensure that it did not die: From speaking at events, speaking to strangers, giving away stickers, making people install Fluentd on their laptop. Most everything I tried had a small, incremental effect, but there were several initiatives/hacks that raised Fluentd’s awareness to the next level. As I listed up these “ideas that worked”, I noticed the common thread: they all brought Fluentd into a new ecosystem via packaging.”
* 행사 정보 :2016년 10월 14일 MARU180 에서 진행된 '데이터야 놀자' 1day 컨퍼런스 발표 자료
* 발표자 : Dylan Ko (고영혁) Data Scientist / Data Architect at Treasure Data
* 발표 내용
- 데이터사이언티스트 고영혁 소개
- Treasure Data (트레저데이터) 소개
- 데이터로 돈 버는 글로벌 사례 #1
>> MUJI : 전통적 리테일에서 데이터 기반 O2O
- 데이터로 돈 버는 글로벌 사례 #2
>> WISH : 개인화&자동화를 통한 쇼핑 최적화
- 데이터로 돈 버는 글로벌 사례 #3
>> Oisix : 머신러닝으로 이탈고객 예측&방지
- 데이터로 돈 버는 글로벌 사례 #4
>> 워너브로스 : 프로세스 자동화로 시간과 돈 절약
- 데이터로 돈 버는 글로벌 사례 #5
>> Dentsu 등의 애드테크(Adtech) 회사들
- 데이터로 돈을 벌고자 할 때 반드시 체크해야 하는 것
Keynote on Fluentd Meetup Summer
Related Slide
- Fluentd ServerEngine Integration & Windows Support http://www.slideshare.net/RittaNarita/fluentd-meetup-2016-serverengine-integration-windows-support
- Fluentd v0.14 Plugin API Details http://www.slideshare.net/tagomoris/fluentd-v014-plugin-api-details
John Hammink's Talk at Great Wide Open 2016. We discuss: 1.) the need for data analytics infrastructure that can scale exponentially and 2.) what such an infrastructure must contain and finally 3.) the need for an infrastructure to be able to handle un - and semi-structured data.
Treasure Data: Move your data from MySQL to Redshift with (not much more tha...Treasure Data, Inc.
Migrate your semi-structured data from MySQL to Amazon Redshift in as few steps as possible. From Amazon Web Services Bay Area meetup @ Sumo Logic, December 3, 2015.
This presentation describes the common issues when doing application logging and introduce how to solve most of the problems through the implementation of an unified logging layer with Fluentd.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
2. WELCOME TO THE DATA GAP
94%
14%
Feel SCV is important Shared SCV in place
Source: CDP Institute, 2016
3. WELCOME TO THE DATA GAP
74% 75% 76%
84%
14% 12% 13% 10%
0%
20%
40%
60%
80%
100%
Matching customer across
devices
Understanding
Customer behavior over
time
Tailoring messaging by
channel
Associating
conversion events with
marketing
“Very important to growth” Strong capability
Unified Customer Data: Needs Outstrip Capabilities
Source: Econsultancy, Customer Recognition: How Marketing is Failing its Top Priority, August 2016
4. WELCOME TO THE DATA GAP
Obstacles to Marketing Success
58%
49%
39%
34%
32%
26%
13%
Single Customer View
Collaborate Outside
Marketing
Budget for Martech
Budget Over-all
Train Staff on Martech
Organizational Barriers
Buy Latest Martech
5. WHAT IS UNIFIED DATA, EXACTLY?
72%
57%
42%
33%
14%
0%
20%
40%
60%
80%
100%
Combined customer
data
Central
customer database
Central
customer database
Central
customer database
Shared
customer database
Unified Data in Place
Source: CDP Institute, 2016
6. WHAT IS UNIFIED DATA, EXACTLY?
Users for Single Customer View
70%
65%
51%
37%
34%
14%
13%
Personalization
Customer Insights
Measure Across
Channels
Custom Offers
Custom Service
Consistent Treatments
Loyalty Programs
Source: CDP Institute, 2016
13. OTHER COMMON CDP FEATURES
Cloud deployment
Software as a Service
NoSQL data stores
Real time access
Supplemental applications
14. REALITY CHECK
Source: CDP Institute, 2016
Obstacles to Building Single Customer View
41%
39%
31%
29%
29%
29%
17%
15%
14%
Budget
Extract from Source
Organizational Roadblocks
Other Priorities in IT
Other Priorities in…
Systems Can't Use
Skills to Build
Skills to Use
Technology
15. IT’S NOT SNAKE OIL
CDP Industry Statistics
• 2,000 installations
• $350 million revenue
• $700 million funding
• 24+ vendors
16. SUMMARY
Customer Data Gap is Real
Meeting all SCV goals needs unified, shared database
(with direct access – not an EDW)
Conventional solutions fall short
CDP is a better, proven alternative
17.
18. IN THE DIGITAL ECONOMY, IT’S WINNER TAKES ALL
What do Google, Uber and Amazon have in common?
64% 87%
of the global digital ad revenue of the US ride-sharing Amazon > everyone else combined
19. CHALLENGES: DISCONNECTED, DELAYED, INACCESSIBLE
DISCONNECTED
Most valuable data is outside your
firewall, siloed in cloud services and
line of business apps.
DELAYED
The half-life of your data is
short. 54% of data’s business
value is lost in two hours.
INACCESSIBLE
Gartner predicts 90% of
deployed data lakes to be
useless by 2018.
$$$
Time
YOU DATA
20. LIVE DATA IS THE KEY TO A UNIFIED CUSTOMER VIEW
CONNECTED
Most valuable insights come
from connecting data across
multiple sources.
CURRENT
Act on customer data within minutes.
Keep all historical data current to see
the whole picture of each customer.
EASILY ACCESSIBLE
From marketing to sales, data must be
everyone’s fingertips. Democratize
your data, mobilize your teams.
✔
✔
✔
✔
23. • Various online and offline data silos captured
partial views of customers
• Unable to leverage existing marketing
technology due to a limited understanding of
buying signals
• Flexible platform needed to satisfy multiple
stakeholders with varying skill sets, allowing
granular, event-by-event data access.
Pains
POS DATA
MEMBER
DB
AD PLACEMENT
DATA
24.
25. “Blasting emails to everyone who
tried samples or bought a particular
product won’t lead to customer
delight. Detecting a mood swing in a
customer and changing the tone of
push notifications does.”
Kenji Yoshimoto, Lead Direct Marketing Analyst
20%
BOOST IN
CUSTOMER
LIFETIME
VALUE
Among Customer
Loyalty Program
Menbers
Nearly all marketers want a single customer view but few have it.
Not just CDPI – other survey, same answer
Is it really important? Or just something on a wish list? On our survey, it was #1 obstacle to marketing success. So, yeah, it’s important.
Let’s define this. When we asked people in the survey about the current state of their data, we got very different answers to slightly different questions. Basically three answers: 72% had some kind of combined data, including data that was shared directly between systems without a central database. From 33% to 57% had some type of central customer database, although we don’t know how they used it. Just 14% specifically said they had a central customer database that was shared by multiple systems.
What’s interesting is to keep that previous slide in mind when you look at how marketers expect to actually use the single customer view.
The most common goal was personalization – something that needs just a little customer data which could be easily copied into the execution systems without directly connecting to a shared database.
The next two, customer insights and measurement across channels, are analytical applications that do need a rich central database but don’t need it connected to execution systems.
Custom offers also involves relatively small data volumes that could easily be copied to execution systems. It’s only when you get down to customer service, consistent treatments, and loyalty programs that you really need direct access to the shared database. So marketers actually have a pretty nuanced vision of what they want to do and, at least implicitly, are going after the low hanging fruit first.
So we say that maybe companies are dipping their toes into the unified view pool rather than jumping in head first. Still, to do the really good stuff – those consistent customer treatments – they do need a complete solution, which is to say a fully shared central database. Let’s look at what they need to build that.
We can divide that into roughly three tasks
The first is loading – or, if you prefer, ingesting – data from multiple sources. A few key features here
Connect to lots of systems
Connect to lots of data types
Check for quality
Pre-process to make it usable
Accommodate changes: new sources, new data elements, new data types
The second task is actually processing that data once you’ve loaded it. This is where most of the magic happens. Specific requirements are
Standardize and transform so data is consistent and classified
Link identities to find the same person across systems; that’s what unified data is about but it’s very complicated
Do preliminary work to simplify access; that could be calculating trends or aggregates, finding patterns over time, or creating indexes. That’s another thing that can be complicated to do well.
Finally, we get to the part about making the data accessible. Tasks may include
Formatting for real time access, which often means putting it in different tables from the main data store and organizing so data about each customer is already brought together
Formatting it for analytical purposes, which may involve a different structure from real time access, since most analytical projects involve subsets of data about groups of customers rather than all data about a single customer
Loading it into other databases that external systems know how to query or can read via APIs
Publishing the metadata and other access tools that the external systems need
This can be pretty technical but it makes a huge difference in whether the data is actually usable
Several ways to meet those requirements.
Silos don’t work
Data hub = moving data between systems; works with a few systems but creates redundancy and allows inconsistency. More for cross-system processes than single customer view. Doesn’t address identity resolution or need for historical data met by persistence. Examples: Boomi, Jitterbit, Zapier
Data warehouse = loading all data into central database; is right general solution but EDWs are mostly for analysis; don’t usually support real time updates or access. Typically big corporate IT projects that take years if they ever get done.
Marketing cloud / suite: combine customer-facing systems in single system with unified database. Great theory but in practice suites are built from acquisitions and lightly unified. May have table to link identifiers and maybe some very skinny profiles e.g. for personalization. Doesn’t allow easy analysis or realtime updates of events across systems. Anyway, most marketers use products from multiple vendors.
- marketer-controlled: not an EDW
- unified, persistent customer database: unifies identities, stores at least some, includes identified customers [needed to unify]; not a DMP
- accessible to external systems: not built for specific application (although many CDPs do have apps)
CDP’s don’t solve everything
- Still need budget (although it’s cheaper)
- Can’t fix existing infrastructure (to extract data or use results)
- Organizational roadblocks and priorities
- Some skills required
Summary
- Customer Data Gap is Real
- Meeting all SCV goals needs unified, shared database (with direct access – not an EDW)
- Conventional solutions fall short
- CDP is a better, proven alternative
Thank you so much. David talked about how a single customer view is the greatest unmet need that prevents companies from accomplishing many of their marketing goals. Treasure Data is a platform built to address that need. Let’s take a little bit of a closer look at what I mean.
This idea of a single customer view, as David said, is about the ability to unify data. And as we all know, companies that get this right outcompete the rest.
As companies rise to the challenge of competing in the digital economy, they naturally adopt SaaS tools to solve various problems. And a lot of these tools are fantastic. But they aren’t always exactly clambering to make their data connected and accessible. There’s a tendency, as anyone knows who’s tried to connect them, for SaaS tools to become siloed point solutions. This results in fragmented data and dependency of marketing teams on engineering. Treasure Data was formed to meet this challenge.
This gave rise to the idea of Live Data Management. Live Data is data that is connected, current, and easily accessible.
We wanted to make it possible for companies to outsource Live Data Management so that they can compete with the data giants, without the need to hire armies of data engineers to do so. Treasure Data was built from the ground up for this purpose. It enables companies to unify all their data sources into a single customer view that can be owned by any organization in the enterprise, and it provides shared, self-service analytics, with access to a unified view of all the customer data, to anyone who needs it.
We have a roster of amazing customers including Warner Brothers, Subaru, Pioneer, and Toyota. I want to zoom in on one case study that shows the power of Live Data Management in action.
Shiseido is the fourth largest cosmetics company in the world. In 2012 they formed a new website, Watashi Plus, that enabled customers to receive expert health and beauty advice and product recommendations. They truly had a vision of a personal relationship with their customers that would deliver a higher level of service across all channels, but they were blocked by the difficulty of achieving a single customer view.
Treasure Data was able to take all of these disparate signals from their first party data and automatically put them together into a single customer database. This data was then enriched with data from their partners, along with third-party data, to give them extremely detailed information to deliver information to their customers that was exquisitely sensitive to the moment-by-moment needs of their customer.
This enabled Shiseido to achieve their vision. Instead of marketing automation, they were after Customer Preference Management. Improvements in their advertising and customer communications resulted in a 20% boost in Customer Lifetime Value among their Customer Loyalty Program Members. Kenji Yoshimoto, the Lead Analyst on Shiseido’s Direct Marketing team, had this to say: (read quote)
So that’s a little bit about how Treasure Data’s Live Data Management Platform provides a powerful Customer Data Platform, and now I want to invite you to ask any questions you may have.