What is (and who needs) a customer data platform?Angela Sun
A customer data platform (CDP) is packaged software that creates a persistent, unified customer database accessible to other systems. It aggregates customer data from various sources to provide a comprehensive view of each customer and their behaviors over time. CDPs exist to break down data silos across departments and systems to improve organizational alignment and create better customer experiences. They are most beneficial for mid-size and enterprise companies looking to gain insights from customer data and deliver personalized experiences across channels.
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.
Buy vs Build - Customer Data Platform (CDP) for Financial ServicesLemnisk
The document discusses factors for financial services companies to consider when deciding whether to buy or build a customer data platform (CDP). It notes that companies spending less than 9% of revenue on marketing should consider buying a CDP, while those spending over 15% should consider building one in-house. Buying a CDP offers lower costs through subscriptions but vendor dependency, while building one allows for full customization but at higher costs and slower release times. The document advises selecting an industry-specific vendor for bought CDPs and carefully planning a build.
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.
CDP - 101 Everything you need to know about Customer Data PlatformsEddy Widerker
A Customer Data Platform (CDP) aggregates and stores customer data from various sources to create a unified customer profile. It addresses the problem of data silos where customer data is scattered across different systems. A CDP collects first-party data, such as name and email, and can enrich it with third-party data. It stores customer records at an individual level and can connect data about the same customer from various platforms. This allows for a single customer view. Unlike a CRM which focuses on one data type, a CDP can handle multiple data types through its flexible structure. It provides tools for storage, unification, and enrichment of customer profiles to power personalized marketing.
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.
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.
CDP in action - handling multiple data sources for smart activation - Benchma...EBG
This document discusses three use cases for how a Customer Data Platform (CDP) can be used to handle multiple data sources for smart customer activation. The first use case describes how a travel agency can use a CDP for conversion rate optimization. The second use case discusses how an insurer can use a CDP for user experience personalization. The third use case outlines how a retailer can leverage a CDP for cross-channel retargeting. In each case, the CDP is used to unify customer data from different sources, enrich customer profiles, segment customers, and activate campaigns across various marketing channels.
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
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".
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
[email protected]
+447400999957
A VERY high level intro on the most common segmentation strategies that are used across many marketers as well as a audience testing framework for beginners.
The audience testing sheet that is included as a bonus, is a great tool for anybody that manages a Data management platform or does any audience testing across various media channels.
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/
Dynamics 365 introduction and functionalSatish Reddy
This document provides an overview of courses and topics related to Microsoft Dynamics 365. It discusses courses for introduction, functional areas like customer service and sales management, and customization. It also summarizes basics of CRM including entities, activities, and searching. Sections cover specifics of customer service, marketing including campaigns, and sales management features like opportunities and orders. Deployment models of on-premise versus online are compared.
Data Lakehouse Symposium | Day 1 | Part 1Databricks
The world of data architecture began with applications. Next came data warehouses. Then text was organized into a data warehouse.
Then one day the world discovered a whole new kind of data that was being generated by organizations. The world found that machines generated data that could be transformed into valuable insights. This was the origin of what is today called the data lakehouse. The evolution of data architecture continues today.
Come listen to industry experts describe this transformation of ordinary data into a data architecture that is invaluable to business. Simply put, organizations that take data architecture seriously are going to be at the forefront of business tomorrow.
This is an educational event.
Several of the authors of the book Building the Data Lakehouse will be presenting at this symposium.
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.
The document discusses programmatic omnichannel in the new data-driven age from 2018-2020. It covers several topics including:
1. Big data and connected data, audience and customer profiles, and digital components.
2. Digital transformation, including programmatic advertising, demand-side platforms, data management platforms, and customer data platforms.
3. Omnichannel strategies involving stores, ecommerce, multichannel, cross-channel and fully integrated omnichannel experiences.
4. The importance of data-driven marketing, sales technology, digital business intelligence, and artificial intelligence.
Data Lake Architecture – Modern Strategies & ApproachesDATAVERSITY
Data Lake or Data Swamp? By now, we’ve likely all heard the comparison. Data Lake architectures have the opportunity to provide the ability to integrate vast amounts of disparate data across the organization for strategic business analytic value. But without a proper architecture and metadata management strategy in place, a Data Lake can quickly devolve into a swamp of information that is difficult to understand. This webinar will offer practical strategies to architect and manage your Data Lake in a way that optimizes its success.
Creating an Effective MDM Strategy for SalesforcePerficient, Inc.
As Salesforce has grown from a simple, standalone tool to a platform that touches every customer interaction, the data has grown more complex. This problem happens for many reasons including user error, adding other cloud apps requiring data integration, and business mergers and acquisitions that create multiple instances of Salesforce within an organization.
A master data management (MDM) strategy is critical to helping companies solve challenges like providing enterprise analytics and creating a 360-degree view of the customer. With Informatica Cloud, companies are learning to address the challenges and explore alternatives including a cost-effective cloud MDM versus a full-blown MDM solution.
During this webinar, our experts demonstrated the Informatica cloud MDM solution in action and showed how with an effective strategy, you can:
-Support the business case for MDM consolidation of multiple instances
-Create a customer 360-degree view in the cloud
-Understand the use case, reference architecture, and why companies are choosing cloud-based MDM
Data Mess to Data Mesh | Jay Kreps, CEO, Confluent | Kafka Summit Americas 20...HostedbyConfluent
Companies are increasingly becoming software-driven, requiring new approaches to software architecture and data integration. The "data mesh" architectural pattern decentralizes data management by organizing it around domain experts and treating data as products that can be accessed on-demand. This helps address issues with centralized data warehouses by evolving data modeling with business needs, avoiding bottlenecks, and giving autonomy to domain teams. Key principles of the data mesh include domain ownership of data, treating data as self-service products, and establishing federated governance to coordinate the decentralized system.
Why an AI-Powered Data Catalog Tool is Critical to Business SuccessInformatica
Imagine a fast, more efficient business thriving on trusted data-driven decisions. An intelligent data catalog can help your organization discover, organize, and inventory all data assets across the org and democratize data with the right balance of governance and flexibility. Informatica's data catalog tools are powered by AI and can automate tedious data management tasks and offer immediate recommendations based on derived business intelligence. We offer data catalog workshops globally. Visit Informatica.com to attend one near you.
By 2020, customer experience will be more important than price or products for brands. Organizations that embrace digital transformation average $100 million more income annually due to increased speed. Workers lose 40% of productive time switching tasks, costing the global economy $450 billion yearly in lost productivity.
Master Data Management - Practical Strategies for Integrating into Your Data ...DATAVERSITY
Master Data Management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as Customers, Products, Vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration to data warehousing & analytic reporting. This webinar provides practical strategies for gaining value from your MDM initiative, while at the same time assuring a solid architectural and governance foundation that will ensure long-term, enterprise-wide success.
Putting the Ops in DataOps: Orchestrate the Flow of Data Across Data PipelinesDATAVERSITY
With the aid of any number of data management and processing tools, data flows through multiple on-prem and cloud storage locations before it’s delivered to business users. As a result, IT teams — including IT Ops, DataOps, and DevOps — are often overwhelmed by the complexity of creating a reliable data pipeline that includes the automation and observability they require.
The answer to this widespread problem is a centralized data pipeline orchestration solution.
Join Stonebranch’s Scott Davis, Global Vice President and Ravi Murugesan, Sr. Solution Engineer to learn how DataOps teams orchestrate their end-to-end data pipelines with a platform approach to managing automation.
Key Learnings:
- Discover how to orchestrate data pipelines across a hybrid IT environment (on-prem and cloud)
- Find out how DataOps teams are empowered with event-based triggers for real-time data flow
- See examples of reports, dashboards, and proactive alerts designed to help you reliably keep data flowing through your business — with the observability you require
- Discover how to replace clunky legacy approaches to streaming data in a multi-cloud environment
- See what’s possible with the Stonebranch Universal Automation Center (UAC)
Adopting a Process-Driven Approach to Master Data ManagementSoftware AG
What is a lasting solution to the sea of errors, headaches, and losses caused by inconsistent and inaccurate master data such as customer and product records? This is the data that your business counts on to operate business processes and make decisions. But this data is often incomplete or in conflict because it resides in multiple IT systems. Master Data Management (MDM)'s programs are the solution to this problem, but these programs can fail without the investment and involvement of business managers.
Listen to Rob Karel, Forrester analyst, and Jignesh Shah from Software AG to learn about a new, process-driven approach to MDM and why it is a win-win for both business and IT managers.
Visit us at http://www.softwareag.com Become part of our growing community: Facebook: http://www.facebook.com/softwareag Twitter: http://www.twitter.com/softwareag LinkedIn: http://www.linkedin.com/company/software-ag YouTube: http://www.youtube.com/softwareag
Gartner: Master Data Management FunctionalityGartner
MDM solutions require tightly integrated capabilities including data modeling, integration, synchronization, propagation, flexible architecture, granular and packaged services, performance, availability, analysis, information quality management, and security. These capabilities allow organizations to extend data models, integrate and synchronize data in real-time and batch processes across systems, measure ROI and data quality, and securely manage the MDM solution.
[Notes] Customer 360 Analytics with LEO CDPTrieu Nguyen
Part 1: Why should every business need to deploy a CDP ?
1. Big data is the reality of business today
2. What are technologies to manage customer data ?
3. The rise of first-party data and new technologies for Digital Marketing
4. How to apply USPA mindset to build your CDP for data-driven business
Part 2: How to use LEO CDP for your business
1. Core functions of LEO CDP for marketers and IT managers
2. Data Unification for Customer 360 Analytics
3. Data Segmentation
4. Customer Personalization
5. Customer Data Activation
Part 3: Case study in O2O Retail and Ecommerce
1. How to build customer journey map for ecommerce and retail
2. How to do customer analytics to find ideal customer profiles
The ideal customer profile in a B2B context
The ideal customer profile in a B2C context
3. Manage product catalog for customer personalization
4. Monitoring Data of Customer Experience (CX Analytics)
CX Data Flow
CX Rating plugin is embedded in the website, to collect feedback data
An overview of CX Report
A CX Report in a customer profile
5. Monitoring data with real-time event tracking reports
Event Data Flow
Summary Event Data Report
Event Data Report in a Customer Profile
Part 4: How to setup an instance of LEO CDP for free
1. Technical architecture
2. Server infrastructure
3. Setup middlewares: Nginx, ArangoDB, Redis, Java and Python
Network requirements
Software requirements for new server
ArangoDB
Nginx Proxy
SSL for Nginx Server
Java 8 JVM
Redis
Install Notes for Linux Server
Clone binary code for new server
Set DNS hosts for LEO CDP workers
4. Setup data for testing and system verification
Part 5: Summary all key ideas
Customer data platforms (CDPs) are now ubiquitous and have created a lot of buzz. But many marketers are still unsure exactly how they work and how they enhance advertising strategies. The answer: nothing is more important than first-party customer data. Learn how to successfully optimize your current marketing efforts by utilizing your first-party customer data and enhance your value proposition messaging to grow sales.
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.
CDP in action - handling multiple data sources for smart activation - Benchma...EBG
This document discusses three use cases for how a Customer Data Platform (CDP) can be used to handle multiple data sources for smart customer activation. The first use case describes how a travel agency can use a CDP for conversion rate optimization. The second use case discusses how an insurer can use a CDP for user experience personalization. The third use case outlines how a retailer can leverage a CDP for cross-channel retargeting. In each case, the CDP is used to unify customer data from different sources, enrich customer profiles, segment customers, and activate campaigns across various marketing channels.
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
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".
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
[email protected]
+447400999957
A VERY high level intro on the most common segmentation strategies that are used across many marketers as well as a audience testing framework for beginners.
The audience testing sheet that is included as a bonus, is a great tool for anybody that manages a Data management platform or does any audience testing across various media channels.
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/
Dynamics 365 introduction and functionalSatish Reddy
This document provides an overview of courses and topics related to Microsoft Dynamics 365. It discusses courses for introduction, functional areas like customer service and sales management, and customization. It also summarizes basics of CRM including entities, activities, and searching. Sections cover specifics of customer service, marketing including campaigns, and sales management features like opportunities and orders. Deployment models of on-premise versus online are compared.
Data Lakehouse Symposium | Day 1 | Part 1Databricks
The world of data architecture began with applications. Next came data warehouses. Then text was organized into a data warehouse.
Then one day the world discovered a whole new kind of data that was being generated by organizations. The world found that machines generated data that could be transformed into valuable insights. This was the origin of what is today called the data lakehouse. The evolution of data architecture continues today.
Come listen to industry experts describe this transformation of ordinary data into a data architecture that is invaluable to business. Simply put, organizations that take data architecture seriously are going to be at the forefront of business tomorrow.
This is an educational event.
Several of the authors of the book Building the Data Lakehouse will be presenting at this symposium.
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.
The document discusses programmatic omnichannel in the new data-driven age from 2018-2020. It covers several topics including:
1. Big data and connected data, audience and customer profiles, and digital components.
2. Digital transformation, including programmatic advertising, demand-side platforms, data management platforms, and customer data platforms.
3. Omnichannel strategies involving stores, ecommerce, multichannel, cross-channel and fully integrated omnichannel experiences.
4. The importance of data-driven marketing, sales technology, digital business intelligence, and artificial intelligence.
Data Lake Architecture – Modern Strategies & ApproachesDATAVERSITY
Data Lake or Data Swamp? By now, we’ve likely all heard the comparison. Data Lake architectures have the opportunity to provide the ability to integrate vast amounts of disparate data across the organization for strategic business analytic value. But without a proper architecture and metadata management strategy in place, a Data Lake can quickly devolve into a swamp of information that is difficult to understand. This webinar will offer practical strategies to architect and manage your Data Lake in a way that optimizes its success.
Creating an Effective MDM Strategy for SalesforcePerficient, Inc.
As Salesforce has grown from a simple, standalone tool to a platform that touches every customer interaction, the data has grown more complex. This problem happens for many reasons including user error, adding other cloud apps requiring data integration, and business mergers and acquisitions that create multiple instances of Salesforce within an organization.
A master data management (MDM) strategy is critical to helping companies solve challenges like providing enterprise analytics and creating a 360-degree view of the customer. With Informatica Cloud, companies are learning to address the challenges and explore alternatives including a cost-effective cloud MDM versus a full-blown MDM solution.
During this webinar, our experts demonstrated the Informatica cloud MDM solution in action and showed how with an effective strategy, you can:
-Support the business case for MDM consolidation of multiple instances
-Create a customer 360-degree view in the cloud
-Understand the use case, reference architecture, and why companies are choosing cloud-based MDM
Data Mess to Data Mesh | Jay Kreps, CEO, Confluent | Kafka Summit Americas 20...HostedbyConfluent
Companies are increasingly becoming software-driven, requiring new approaches to software architecture and data integration. The "data mesh" architectural pattern decentralizes data management by organizing it around domain experts and treating data as products that can be accessed on-demand. This helps address issues with centralized data warehouses by evolving data modeling with business needs, avoiding bottlenecks, and giving autonomy to domain teams. Key principles of the data mesh include domain ownership of data, treating data as self-service products, and establishing federated governance to coordinate the decentralized system.
Why an AI-Powered Data Catalog Tool is Critical to Business SuccessInformatica
Imagine a fast, more efficient business thriving on trusted data-driven decisions. An intelligent data catalog can help your organization discover, organize, and inventory all data assets across the org and democratize data with the right balance of governance and flexibility. Informatica's data catalog tools are powered by AI and can automate tedious data management tasks and offer immediate recommendations based on derived business intelligence. We offer data catalog workshops globally. Visit Informatica.com to attend one near you.
By 2020, customer experience will be more important than price or products for brands. Organizations that embrace digital transformation average $100 million more income annually due to increased speed. Workers lose 40% of productive time switching tasks, costing the global economy $450 billion yearly in lost productivity.
Master Data Management - Practical Strategies for Integrating into Your Data ...DATAVERSITY
Master Data Management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as Customers, Products, Vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration to data warehousing & analytic reporting. This webinar provides practical strategies for gaining value from your MDM initiative, while at the same time assuring a solid architectural and governance foundation that will ensure long-term, enterprise-wide success.
Putting the Ops in DataOps: Orchestrate the Flow of Data Across Data PipelinesDATAVERSITY
With the aid of any number of data management and processing tools, data flows through multiple on-prem and cloud storage locations before it’s delivered to business users. As a result, IT teams — including IT Ops, DataOps, and DevOps — are often overwhelmed by the complexity of creating a reliable data pipeline that includes the automation and observability they require.
The answer to this widespread problem is a centralized data pipeline orchestration solution.
Join Stonebranch’s Scott Davis, Global Vice President and Ravi Murugesan, Sr. Solution Engineer to learn how DataOps teams orchestrate their end-to-end data pipelines with a platform approach to managing automation.
Key Learnings:
- Discover how to orchestrate data pipelines across a hybrid IT environment (on-prem and cloud)
- Find out how DataOps teams are empowered with event-based triggers for real-time data flow
- See examples of reports, dashboards, and proactive alerts designed to help you reliably keep data flowing through your business — with the observability you require
- Discover how to replace clunky legacy approaches to streaming data in a multi-cloud environment
- See what’s possible with the Stonebranch Universal Automation Center (UAC)
Adopting a Process-Driven Approach to Master Data ManagementSoftware AG
What is a lasting solution to the sea of errors, headaches, and losses caused by inconsistent and inaccurate master data such as customer and product records? This is the data that your business counts on to operate business processes and make decisions. But this data is often incomplete or in conflict because it resides in multiple IT systems. Master Data Management (MDM)'s programs are the solution to this problem, but these programs can fail without the investment and involvement of business managers.
Listen to Rob Karel, Forrester analyst, and Jignesh Shah from Software AG to learn about a new, process-driven approach to MDM and why it is a win-win for both business and IT managers.
Visit us at http://www.softwareag.com Become part of our growing community: Facebook: http://www.facebook.com/softwareag Twitter: http://www.twitter.com/softwareag LinkedIn: http://www.linkedin.com/company/software-ag YouTube: http://www.youtube.com/softwareag
Gartner: Master Data Management FunctionalityGartner
MDM solutions require tightly integrated capabilities including data modeling, integration, synchronization, propagation, flexible architecture, granular and packaged services, performance, availability, analysis, information quality management, and security. These capabilities allow organizations to extend data models, integrate and synchronize data in real-time and batch processes across systems, measure ROI and data quality, and securely manage the MDM solution.
[Notes] Customer 360 Analytics with LEO CDPTrieu Nguyen
Part 1: Why should every business need to deploy a CDP ?
1. Big data is the reality of business today
2. What are technologies to manage customer data ?
3. The rise of first-party data and new technologies for Digital Marketing
4. How to apply USPA mindset to build your CDP for data-driven business
Part 2: How to use LEO CDP for your business
1. Core functions of LEO CDP for marketers and IT managers
2. Data Unification for Customer 360 Analytics
3. Data Segmentation
4. Customer Personalization
5. Customer Data Activation
Part 3: Case study in O2O Retail and Ecommerce
1. How to build customer journey map for ecommerce and retail
2. How to do customer analytics to find ideal customer profiles
The ideal customer profile in a B2B context
The ideal customer profile in a B2C context
3. Manage product catalog for customer personalization
4. Monitoring Data of Customer Experience (CX Analytics)
CX Data Flow
CX Rating plugin is embedded in the website, to collect feedback data
An overview of CX Report
A CX Report in a customer profile
5. Monitoring data with real-time event tracking reports
Event Data Flow
Summary Event Data Report
Event Data Report in a Customer Profile
Part 4: How to setup an instance of LEO CDP for free
1. Technical architecture
2. Server infrastructure
3. Setup middlewares: Nginx, ArangoDB, Redis, Java and Python
Network requirements
Software requirements for new server
ArangoDB
Nginx Proxy
SSL for Nginx Server
Java 8 JVM
Redis
Install Notes for Linux Server
Clone binary code for new server
Set DNS hosts for LEO CDP workers
4. Setup data for testing and system verification
Part 5: Summary all key ideas
Customer data platforms (CDPs) are now ubiquitous and have created a lot of buzz. But many marketers are still unsure exactly how they work and how they enhance advertising strategies. The answer: nothing is more important than first-party customer data. Learn how to successfully optimize your current marketing efforts by utilizing your first-party customer data and enhance your value proposition messaging to grow sales.
This document discusses customer data platforms (CDPs), beginning with defining a CDP and describing its core components and functions. It then addresses various myths and realities about CDPs, noting that while they provide benefits like unified customer profiles and quick deployment, their value depends on use cases, data availability, and organizational support. Finally, it provides guidance on when and how to use a CDP effectively within a company's marketing technology stack.
Get A Unified Record For All Your Customer Data With CDPTechahead Software
It is typically exceedingly challenging for businesses to offer consistent customer experiences across a variety of channels and consumer devices because this data is typically held in silos, whether organizational or technological. For example, a digital product development company collects data from media listings.
Source: https://techfily.com/get-a-unified-record-for-all-your-customer-data-with-cdp/
Customer Data Platform (CDP) - TRANSFORMING CUSTOMER DATA FOR MARKETING AUTOM...greyaudrina
A CDP is a comprehensive platform especially built for curating, collating, unifying, and analyzing customer data from multiple sources. Thus, providing actionable insights for improving sales and marketing strategies.
A Customer Data Platform (CDP) is a type of software. Specifically, it’s a kind of database software: one that creates persistent, unified records of all your customers, their attributes, and their data. A good CDP should both easily integrate with your existing data and allow for easy retrieval of the data it stores.
A CDP builds a complete picture of your customers on an individual level. It collects 1st party customer data (transactional, behavioral, demographic) from a multitude of sources and systems, and links that information to the customer that created it.
This creates a 360-degree customer profile, also called a single customer view, which can then be used by 3rd party tools or built-in marketing automation tools (check Standalone CDP vs CDXP) to execute marketing activities and analyze their performance.
When utilized effectively, they provide profound insights into your customer base. With this knowledge, you can enhance your marketing strategies, optimize sales approaches, and refine your products.
It’s always been around – data. We are awash in data. It stacks up in every corner of businesses, government, homes and devices. It is online, offline, in warehouses and everywhere else. We now have tens of billions of dollars being spent annually to make some sense of it. Data scientists and analysts are hot commodities in the hiring arena. A steady parade of start-ups and internal initiatives churn out reams of costly “insights”. CEO’s and CMO’s are being assaulted with new terminology, a new vernacular, charts, graphs and spreadsheets. The current landscape and BC/Centifuge’s role is clearly defined.
• Big Data Analytics has been seen as too hard, too expensive, too slow and or outsourced to non-industry experts/data scientists to interpret and report on.
• Brand Communities and the algorithms core in its platform, Centrifuge42, puts proven industrial strength mathematics (as developed in Forensic Data Science) into the hands of those who know most about their business’ – CEOs, CMO’s, CFOs, CTOs and CIO’s
• BC’s C42 platform is a simple to use DIY interface… allowing anyone in any organization to holistically discover drivers, triggers and to take actions that will make a tangible difference to their businesses.
• BC allows corporate management to holistically view inter-relationships between divisions, subsidiaries, channels and suppliers with productivity, revenues, profits and investment.
• BC can be integrated by business intelligence engines to add significantly more robust output or used on a stand-alone basis.
• We are the world’s first DIY/desktop “cause and effect” software platform, allowing near real time big data analytics to be easily used by decision makers - leveraging category knowledge, speed and insights as a competitive edge resulting in improved ROI, reduced costs and improved revenues and profits.
Purnendu Tiwary has over 9 years of experience in IT roles including project management, development, and support. He is proficient in COBOL, JCL, DB2, and web services. Currently he is working as a technical lead for RBS on payment transformation and web service projects, where he designs applications, components, and tests code. He has also worked on projects for Tata Consultancy Services and other clients in banking, finance, healthcare, and retail.
For a dashboard to truly provide value
and actionable insights, dashboard design must be approached leveraging meaningful data and analytics with the stakeholder in mind.
This document provides information on Prashant Patil including his contact details, work experience, skills, and qualifications. It summarizes his 10 years of experience in business intelligence with a focus on MSBI tools, data warehousing, and cloud-based reporting. Recent projects include developing dashboards and reports for engineering and consulting firms using SQL Server and cloud tools.
Data science is being applied to solve a wide variety of problems across many industries. It uses techniques from many fields like statistics, machine learning, and data mining to analyze large amounts of data and extract useful insights. While technical skills are important for data scientists, soft skills like communication, collaboration, and problem solving are also critical for effectively applying data science and ensuring business value. Many organizations are now using data science for applications like customer segmentation, predictive modeling, marketing attribution, and performance management.
Architecting for Analytics, Aaron CrearCzechDreamin
Data drives decisions.
Having reliable, clean data is a goal of most organizations. However, far too often the method for retrieving, presenting and consuming this data is an afterthought for many implementations.
This session will help you understand the architectural process required to provide your stakeholders with actionable analytics that can drive the business forward.
We will examine data models and sources, reporting tools and processes, resources, access policies and delivery methods.
Prepare yourself and your organization for the full analytics lifecycle. We will use a custom commission reporting solution as a live demo.
Network Analytics to improve customer experienceBSP Media Group
This document discusses using network analytics to improve customer experience. It describes how collecting and analyzing data from across networks and customer interactions can provide insights into quality of service and customer intelligence to benefit operations, customer care, marketing and other business units. Specifically, it outlines how network analytics solutions from HP can quantify customer experience for voice, data and other services to optimize processes and drive better business outcomes like increased ARPU and reduced churn.
This document provides a profile summary for Pralay Patoria, including experience in software design and development, project management, and requirement analysis over nearly 12 years using technologies like C++, C#, .NET, SQL, and various frameworks. Key projects include developing trading applications and APIs for financial institutions. Patoria has extensive experience designing distributed applications and APIs to connect different systems.
Here are the top 10 predictions (and a bonus prediction) around what lies ahead (in the next 2-3 years) for Customer Data Platforms (CDPs).
We all know the CAGR for CDP is pretty high and this growth is driven by a number of factors like the increasing need to unify their customer data, the growing importance of customer personalization, the surging demand for delivering experiences, and the rising adoption of AI and ML in marketing. So it is necessary to understand how the CDP will evolve to make the right decisions today.
This presentation includes that what is Salesforce CDP Implementation, its offerings, its features, its benefits and why to choose us for CDP Implementation.
8 Steps to BI Success - Choosing The Ideal Business Intelligence SolutionChristian Ofori-Boateng
No pressure - but the BI solution you invest in today has far-reaching implications for your organization's success tomorrow.
- With dozens of Business Intelligence solutions available, what are the 'must-haves' in BI tools?
- What features will bring you the quickest time to value plus meet the flexibility and budgetary needs for your organization?
- How will this satisfy your Business Intelligence needs?
- Where does this fit into your Business Intelligence Strategy and Roadmap?
Strap on those crampons as we scale those eight essential steps to take in making your big decision - let's get your company equipped for the future, and performing at its peak!
This document provides a summary of Sandeep Rampalle's skills and experience:
- Over 9 years of experience in IT areas like system analysis, design, and development for data warehousing, client server technologies, and mainframes. Extensive experience with tools like Informatica and Oracle.
- Strong skills in SQL, PL/SQL, writing stored procedures and functions, and performance tuning for Oracle databases. Experienced with data integration, ETL processes, and scheduling jobs.
- Has worked on numerous projects at Fidelity involving data warehousing, reporting, migrations, and integrating various data sources for applications and customer experiences.
- Also has experience with technologies like Java/J2EE, main
This comprehensive Data Science course is designed to equip learners with the essential skills and knowledge required to analyze, interpret, and visualize complex data. Covering both theoretical concepts and practical applications, the course introduces tools and techniques used in the data science field, such as Python programming, data wrangling, statistical analysis, machine learning, and data visualization.
Andhra Pradesh Micro Irrigation Project” (APMIP), is the unique and first comprehensive project being implemented in a big way in Andhra Pradesh for the past 18 years.
The Project aims at improving
computer organization and assembly language : its about types of programming language along with variable and array description..https://www.nfciet.edu.pk/
Telangana State, India’s newest state that was carved from the erstwhile state of Andhra
Pradesh in 2014 has launched the Water Grid Scheme named as ‘Mission Bhagiratha (MB)’
to seek a permanent and sustainable solution to the drinking water problem in the state. MB is
designed to provide potable drinking water to every household in their premises through
piped water supply (PWS) by 2018. The vision of the project is to ensure safe and sustainable
piped drinking water supply from surface water sources
How iCode cybertech Helped Me Recover My Lost Fundsireneschmid345
I was devastated when I realized that I had fallen victim to an online fraud, losing a significant amount of money in the process. After countless hours of searching for a solution, I came across iCode cybertech. From the moment I reached out to their team, I felt a sense of hope that I can recommend iCode Cybertech enough for anyone who has faced similar challenges. Their commitment to helping clients and their exceptional service truly set them apart. Thank you, iCode cybertech, for turning my situation around!
[email protected]
2. INTRODUCTION
DAA Certified Web Analyst, '09
Todd Belcher
CDP Resource, Quaero
Prev: BlueConic, Unica/IBM
@toddmetrics / [email protected]
@ C D P _ R E S O U R C E , C D P R E S O U R C E . C O M
A digital data usefulness enthusiast with fifteen or twenty years of
digital analytics and marketing experience, recently focused on
customer data platforms.
Currently on the product team at Quaero (CDP). Also spent time at
BlueConic (CDP) and as an independent analyst covering the
customer data platform space at CDP Resource, where an overview of
95 software providers was published late last year.
3. What is a CDP?
Many definitions,
many providers.
How can such a
conflict be resolved?
Options:
A) Choose a broad one (consultant)
B) Choose a narrow one (provider)
C) Write a multi-level definition to acknowledge complexity (analyst)
@ C D P _ R E S O U R C E , C D P R E S O U R C E . C O M
4. What is a CDP?
Many definitions,
many providers.
How can such a
conflict be resolved?
Options:
A) Choose a broad one (consultant)
B) Choose a narrow one (provider)
C) Write a multi-level definition to acknowledge complexity (analyst)
D) Define around your organizational data management
requirements and marketing use cases (business)
@ C D P _ R E S O U R C E , C D P R E S O U R C E . C O M
5. Customer Data Platform Institute definition:
A Customer Data Platform is packaged software that creates a persistent, unified
customer database that is accessible to other systems.
This definition has three critical elements:
Packaged software
The CDP is a prebuilt system that is configured to meet the needs of each client.
Some technical resources will be required to set up and maintain the CDP, but it
does not require the level of technical skill of a typical data warehouse project.
This reduces the time, cost, and risk and gives business users more control over
the system, even though they may still need some technical assistance.
Creates a persistent, unified customer database
The CDP creates a comprehensive view of each customer by capturing data from
multiple systems, linking information related to the same customer, and storing the
information to track behavior over time. The CDP contains personal identifiers
used to target marketing messages and track individual-level marketing results.
Accessible to other systems
Data stored in the CDP can be used by other systems for analysis and to manage
customer interactions.
content on this slide from cdpinstitute.org
6. A customer data platform is developed software that manages
data collection and unification for the purposes of building
customer profiles. It also manages analytics against these profiles,
and delivery of datasets and individual profiles to systems that
need them.
In order for a customer data platform to be effective at both
ingestion and delivery of customer data, the software must also
take a vendor-neutral approach to technical partnerships. It has to
have technical partnerships in many areas. This is a key difference
between marketing services providers out there building and
hosting unified customer profiles on your behalf and a customer
data platform.
CDP Resource (my) definition:
@ C D P _ R E S O U R C E , C D P R E S O U R C E . C O M flickr/22905496@N07
7. A customer data platform is developed software that manages
data collection and unification for the purposes of building custo
It also manages analytics against these profiles, and delivery of
to systems that need them.
m is developed software that manages
fication for the purposes of building customer profiles.
s against these profiles, and delivery of datasets and individual profil
em.
not so fast!
TALKING POINTS
"developed software that manages..."
"data collection"
"unification"
"building customer profiles"
"analytics against these profiles"
"delivery of datasets and individual profiles"
It also manage
to systems th
omer data platform is developed software that manages
ollection and unification for the purposes of building customer profile
@ C D P _ R E S O U R C E , C D P R E S O U R C E . C O M
8. @ C D P _ R E S O U R C E , C D P R E S O U R C E . C O M
A complex spectrum does not make for
a simple definition at all.
9. CDP Resource
Define what a customer data platform is
to your business.
Base this on organizational data
management requirements and
marketing use cases.
Then, (re-)evaluate providers.
What does it all mean?
@ C D P _ R E S O U R C E , C D P R E S O U R C E . C O M
10. Customer Data Platform Buyers' Guide
The aforementioned guide is still available on cdpresource.com, along with
other content resources, including some summarizing charts from the report:
How many CDPs
are not CDPs?
What did providers' inclusion in
other analysts' reports look like?