Organizations today are handling an inordinate amount of data from different sources and to help make sense of this influx they’re using data storage and analytics solutions. Yet, it can be a challenge to collect customer data from multiple technologies, sources, and touchpoints to be able to enrich it in a way that produces a unified data set on every customer. These complete and comprehensive data sets are needed, though, because they become the necessary foundation for driving and delivering meaningful, consistent and relevant customer experiences.

Brands are leveraging enterprise data storage technologies like Data Lakes and Enterprise Data Warehouses (EDWs) to house customer data. However, those solutions alone won’t allow an organization to capture, correlate and manage their real-time incoming data to support customer data initiatives aimed at creating unified customer experiences.

This paper will highlight key differences, benefits, and challenges of Enterprise Data Warehouses and Data Lakes, and introduce the one, key solution every brand should employ to create and drive unified customer experiences.

An explosion of data from online and offline data sources means today's businesses rely on technology to correlate and enrich the data they collect, to curate a meaningful, granular understanding of each individual customer. Recent estimates suggest that global annual data generation will reach a staggering 163 zettabytes (163 sextillion bytes) by 2025, so the urgency for a technological data management solution is at an all-time high.

In fact, 73% of organizations agree that delivering an exemplary customer service experience is key to a successful business. And a recent report by the McKinsey Global Institute found that companies who remain customer-centric are 23 times more likely to attract and six times more likely to maintain customer relationships.

In this newsletter, Tealium features the Gartner report, Market Guide for Customer Data Platforms for Marketing. We aim to identify obstacles caused by fragmented customer data silos and establish how Customer Data Platforms (CDPs) can help data and analytics professionals at enterprise companies improve their first party data management. the recommendations come as the result of a yearlong study, in which Gartner analysis surveyed more than 400 martech end users and technology vendors, and collaborated with high tier industry publications and reports for secondary research. Consequently, they offer comprehensive insight into CDP's available from a variety of vendors, and factors to consider when evaluating implementation.

Website performance matters. Many factors impact site performance, including the speed of the hosting provider, page design, number of http requests and more. One big factor is the accumulation of digital marketing vendor tags and pixels on web pages. Tags can dramatically impact site performance in a number of ways– poor tag design, synchronous tags can block content, slow response time associated with the collection servers, tag placement and the sheer number of tags accumulated on pages.

Over the years, Tealium has pioneered many of the best practices in tagging and has incorporated various techniques to minimize the effect of tags on website performance. They include:

• Tag Loading & Page Performance – Perceived Load Time vs Actual Load Time
• Asynchronous Loading
• Client-Side Tagging with Multi-CDNs
• Script Compression (gzip) and Bundling
• Conditional Loading
• Reduced Page Weight
• Fewer DNS Lookups
• Intelligent Cache

This whitepaper provides more details about these techniques and their associated benefits.

Organizations today are handling an inordinate amount of data from different sources and to help make sense of this influx they’re using data storage and analytics solutions. Yet, it can be a challenge to collect customer data from multiple technologies, sources, and touchpoints to be able to enrich it in a way that produces a unified data set on every customer. These complete and comprehensive data sets are needed, though, because they become the necessary foundation for driving and delivering meaningful, consistent and relevant customer experiences.

Brands are leveraging enterprise data storage technologies like Data Lakes and Enterprise Data Warehouses (EDWs) to house customer data. However, those solutions alone won’t allow an organization to capture, correlate and manage their real-time incoming data to support customer data initiatives aimed at creating unified customer experiences.

This paper will highlight key differences, benefits, and challenges of Enterprise Data Warehouses and Data Lakes, and introduce the one, key solution every brand should employ to create and drive unified customer experiences.

An explosion of data from online and offline data sources means today's businesses rely on technology to correlate and enrich the data they collect, to curate a meaningful, granular understanding of each individual customer. Recent estimates suggest that global annual data generation will reach a staggering 163 zettabytes (163 sextillion bytes) by 2025, so the urgency for a technological data management solution is at an all-time high.

In fact, 73% of organizations agree that delivering an exemplary customer service experience is key to a successful business. And a recent report by the McKinsey Global Institute found that companies who remain customer-centric are 23 times more likely to attract and six times more likely to maintain customer relationships.

In this newsletter, Tealium features the Gartner report, Market Guide for Customer Data Platforms for Marketing. We aim to identify obstacles caused by fragmented customer data silos and establish how Customer Data Platforms (CDPs) can help data and analytics professionals at enterprise companies improve their first party data management. the recommendations come as the result of a yearlong study, in which Gartner analysis surveyed more than 400 martech end users and technology vendors, and collaborated with high tier industry publications and reports for secondary research. Consequently, they offer comprehensive insight into CDP's available from a variety of vendors, and factors to consider when evaluating implementation.

An explosion of data from online and offline data sources means today's businesses rely on technology to correlate and enrich the data they collect, to curate a meaningful, granular understanding of each individual customer. Recent estimates suggest that global annual data generation will reach a staggering 163 zettabytes (163 sextillion bytes) by 2025, so the urgency for a technological data management solution is at an all-time high.

In fact, 73% of organizations agree that delivering an exemplary customer service experience is key to a successful business. And a recent report by the McKinsey Global Institute found that companies who remain customer-centric are 23 times more likely to attract and six times more likely to maintain customer relationships.

In this newsletter, Tealium features the Gartner report, Market Guide for Customer Data Platforms for Marketing. We aim to identify obstacles caused by fragmented customer data silos and establish how Customer Data Platforms (CDPs) can help data and analytics professionals at enterprise companies improve their first party data management. the recommendations come as the result of a yearlong study, in which Gartner analysis surveyed more than 400 martech end users and technology vendors, and collaborated with high tier industry publications and reports for secondary research. Consequently, they offer comprehensive insight into CDP's available from a variety of vendors, and factors to consider when evaluating implementation.

Organizations today are handling an inordinate amount of data from different sources and to help make sense of this influx they’re using data storage and analytics solutions. Yet, it can be a challenge to collect customer data from multiple technologies, sources, and touchpoints to be able to enrich it in a way that produces a unified data set on every customer. These complete and comprehensive data sets are needed, though, because they become the necessary foundation for driving and delivering meaningful, consistent and relevant customer experiences.

Brands are leveraging enterprise data storage technologies like Data Lakes and Enterprise Data Warehouses (EDWs) to house customer data. However, those solutions alone won’t allow an organization to capture, correlate and manage their real-time incoming data to support customer data initiatives aimed at creating unified customer experiences.

This paper will highlight key differences, benefits, and challenges of Enterprise Data Warehouses and Data Lakes, and introduce the one, key solution every brand should employ to create and drive unified customer experiences.

Website performance matters. Many factors impact site performance, including the speed of the hosting provider, page design, number of http requests and more. One big factor is the accumulation of digital marketing vendor tags and pixels on web pages. Tags can dramatically impact site performance in a number of ways– poor tag design, synchronous tags can block content, slow response time associated with the collection servers, tag placement and the sheer number of tags accumulated on pages.

Over the years, Tealium has pioneered many of the best practices in tagging and has incorporated various techniques to minimize the effect of tags on website performance. They include:

• Tag Loading & Page Performance – Perceived Load Time vs Actual Load Time
• Asynchronous Loading
• Client-Side Tagging with Multi-CDNs
• Script Compression (gzip) and Bundling
• Conditional Loading
• Reduced Page Weight
• Fewer DNS Lookups
• Intelligent Cache

This whitepaper provides more details about these techniques and their associated benefits.