Digital Velocity London 2017 - Tackling Data Ownership, Tony Gosling

Watch the full session: Denodo DataFest 2016 sessions: https://goo.gl/8S17m5 Security can be a key concern when data is spread across multiple systems residing both on-premise and on the cloud. Asurion has leveraged data virtualization to use it as a single engine for security control over the data sources. This also helps facilitate transition to modern cloud-based data architecture. In this presentation, the Enterprise Architect at Asurion, Larry Dawson presents: • The challenges associated with centralizing security across on-premise and cloud data sources • How to build a single engine for security that provides audit and control by geographies • How to build modern cloud-based data architectures using data virtualization This session also includes a panel discussion with: • Larry Dawson, Enterprise Architect at Asurion • Kent Weare, Senior Enterprise Architect & Integration Lead at TransAlta • Ken Martin, Global Center of Excellence Lead for Business Analytics Services at HCL America • Rich Walker, VP of Sales at Denodo (as moderator) This session is part of the Denodo DataFest 2016 event. You can also watch more Denodo DataFest sessions on demand here: https://goo.gl/VXb6M6

eDiscovery platform EMEA user conference 2017

Veritas Technologies LLC

Managing Biomedical Data and Metadata in Large Scale Collaborations

Georges Heiter

Tim scottkoenverheyenpresentation

Patrick Van Renterghem

Denodo DataFest 2016: Centralizing Data Security with Data Virtualization

Watch the full session: Denodo DataFest 2016 sessions: https://goo.gl/kPmzWU Gaining an enterprise view of the data across different independent lines of businesses is difficult when the operations, systems, and data are inherently siloed. VSP Global is a conglomerate operating different businesses across eyewear insurance, manufacturing, and retail. They are integrating the silos using a semantic data layer. In this presentation, the Enterprise Data Architect at VSP Global, Tim Fredricks will present: • The challenges associated with data siloed across different LOBs • How to build a semantic data layer using data virtualization • Centralizing business rules in the data virtualization layer This session also includes a panel discussion with: • Tim Fredricks, Enterprise Data Architect at VSP Global • Rick Hart, Director of Global Technology Solutions at BioStorage Technologies • Jeff Veis, VP Big Data Platform Marketing at HPE • Mike Litzkow, Sales Director at Denodo (as moderator) This session is part of the Denodo DataFest 2016 event. You can also watch more Denodo DataFest sessions on demand here: https://goo.gl/VXb6M6 This session is part of the Denodo DataFest 2016 event. You can also watch more Denodo DataFest sessions on demand here: https://goo.gl/VXb6M6

Denodo DataFest 2016: Enterprise View of Data with Semantic Data Layer

Watch full webinar here: https://buff.ly/2HMdbUp What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics. Attend this session to learn: • What data virtualization really is, • How it differs from other enterprise data integration technologies • Real-world examples of data virtualization in action from companies such as Logitech, Autodesk and Festo.

DAMA Webinar: Turn Grand Designs into a Reality with Data Virtualization

Watch full webinar here: https://bit.ly/3cnw5MW More and more organization are adopting multi-cloud strategies to provide greater flexibility, cost savings, and performance optimization. Even when organizations commit to a single cloud provider, they often have data and applications spread across different cloud regions to support different business units or geographies. The result of this is a high distributed infrastructure that makes finding and accessing the data needed for reporting and analytics even more challenging. The Denodo Platform Multi-Location Architecture provides quick and easy managed access to data while still providing local control to the 'data owners' and complying with local privacy and data protection regulations (think GDPR and CCPA!). In this on-demand session, you will learn about: - The challenges facing organizations as they adopt multi-cloud data strategies - How the Denodo Platform provides a managed data access layer across the organization - The different multi-location architectures that can maximize local control over data while still making it readily available - How organizations have benefited from using the Denodo Platform as a multi-cloud data access layer

Sithabile Article

Richard Tatham

Multi-Cloud Data Integration with Data Virtualization (APAC)

Watch full webinar here: [https://buff.ly/2R9qSfq] Data proliferation has become a major challenge for many customers as they deal with new regulations and more stringent compliance requirements. Hear how these challenges can be addressed with fine grained security, full data lineage and comprehensive auditability. In this Denodo DataFest session we will cover how to: Assure compliance with optimized data management Data classification with security policy enforcement Increase flexibility with extended protection capabilities

The future of hybrid IT models

GAVS Technologies

Peter Grimmond – Harnessing the power of data

Veritas Technologies LLC

Enacting the Data Subjects Access Rights for GDPR with Data Services and Data...

Jean-Michel Franco

Regulation and Compliance in the Data Driven Enterprise

70% of employees have access to data they should not…and that’s going to be a problem when GDPR takes affect in May 2018. A strong data governance program ensures that you have the policies, standards, and controls in place to protect data effectively and access it for decision making. Data governance may become one of the most important functions of your data integration architecture when it comes to data agility. Watch this on-demand webinar describing practical steps to data governance: - Map personal data elements to data fields across systems using metadata - Create workflows for data stewardship and manage end user computing - Establish a data lake with native data quality for consent processing - Track and manage data with audit trails and data lineage

Practical steps to GDPR compliance

Jean-Michel Franco

Watch full webinar here: https://bit.ly/3mPLIlo A shift to the cloud is a common element of any current data strategy. However, a successful transition to the cloud is not easy and can take years. It comes with security challenges, changes in downstream and upstream applications, and new ways to operate and deploy software. An abstraction layer that decouples data access from storage and processing can be a key element to enable a smooth journey to the cloud. Attend this webinar to learn more about: - How to use Data Virtualization to gradually change data systems without impacting business operations - How Denodo integrates with the larger cloud ecosystems to enable security - How simple it is to create and manage a Denodo cloud deployment

A Successful Journey to the Cloud with Data Virtualization

Watch full webinar here: https://bit.ly/3lSwLyU En la era de la explosión de la información repartida en distintas fuentes, el gobierno de datos es un componente clave para garantizar la disponibilidad, usabilidad, integridad y seguridad de la información. Asimismo, el conjunto de procesos, roles y políticas que define permite que las organizaciones alcancen sus objetivos asegurando el uso eficiente de sus datos. La virtualización de datos forma parte de las herramientas estratégica para implementar y optimizar el gobierno de datos. Esta tecnología permite a las empresas crear una visión 360º de sus datos y establecer controles de seguridad y políticas de acceso sobre toda la infraestructura, independientemente del formato o de su ubicación. De ese modo, reúne múltiples fuentes de datos, las hace accesibles desde una sola capa y proporciona capacidades de trazabilidad para supervisar los cambios en los datos. Le invitamos a participar en este webinar para aprender: - Cómo acelerar la integración de datos provenientes de fuentes de datos fragmentados en los sistemas internos y externos y obtener una vista integral de la información. - Cómo activar en toda la empresa una sola capa de acceso a los datos con medidas de protección. - Cómo la virtualización de datos proporciona los pilares para cumplir con las normativas actuales de protección de datos mediante auditoría, catálogo y seguridad de datos.

21-Vendor Channel Programs: Executive Summary

bRaingear

Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...

In the 3rd Episode of DataArchiva webinar series, we discussed the Salesforce data archiving strategies adopted by some of the leading healthcare & financial enterprises. In the two use cases, we talked about specific Salesforce data management challenges and how DataArchiva helped those companies manage their Salesforce data with a strategic archiving plan that helped them reduce storage costs, enhance performance & meet compliance policies. Here is the webinar deck. For more information, please reach us.

Presentation by Kasper Kisjes (Rijkswaterstaat) and Christoph Balduck (Data T...

Patrick Van Renterghem

Webinar: The future of collaboration for law firms and their clients

HighQ

Webinar: Salesforce Data Archiving Strategies adopted by Healthcare & Financi...

DataArchiva

What's hot (20)

Data Architecture for Machine Learning

eDiscovery platform EMEA user conference 2017

Managing Biomedical Data and Metadata in Large Scale Collaborations

Tim scottkoenverheyenpresentation

Denodo DataFest 2016: Centralizing Data Security with Data Virtualization

Denodo DataFest 2016: Enterprise View of Data with Semantic Data Layer

DAMA Webinar: Turn Grand Designs into a Reality with Data Virtualization

Sithabile Article

Multi-Cloud Data Integration with Data Virtualization (APAC)

The future of hybrid IT models

Peter Grimmond – Harnessing the power of data

Enacting the Data Subjects Access Rights for GDPR with Data Services and Data...

Regulation and Compliance in the Data Driven Enterprise

Practical steps to GDPR compliance

A Successful Journey to the Cloud with Data Virtualization

21-Vendor Channel Programs: Executive Summary

Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...

Presentation by Kasper Kisjes (Rijkswaterstaat) and Christoph Balduck (Data T...

Webinar: The future of collaboration for law firms and their clients

Webinar: Salesforce Data Archiving Strategies adopted by Healthcare & Financi...

Similar to Digital Velocity London 2017 - Tackling Data Ownership, Tony Gosling

At its core, Data Governance (DG) is all about managing data with guidance. This immediately provokes the question: Would you tolerate any of your assets to be managed without guidance? (In all likelihood, your organization has been managing data without adequate guidance and this accounts for its current, less-than-optimal state.) This program provides a practical guide to implementing DG or recharging your existing program. It provides an understanding of what Data Governance functions are required and how they fit with other Data Management disciplines. Understanding these aspects is a prerequisite to eliminate the ambiguity that often surrounds initial discussions and implement effective Data Governance/Stewardship programs that manage data in support of organizational strategy. Delegates will understand why Data Governance can be tricky for organizations due to data’s confounding characteristics. This webinar will focus on four key DG elements: - Keeping DG practically focused - DG must exist at the same level as HR - Gradually add ingredients (practicing and getting better) - Data Governance in action: storytelling

Key Elements of a Successful Data Governance Program

In order to find value in your organization's data assets, heroic data stewards are tasked with saving the day- every single day! These heroes adhere to a data governance framework and work to ensure that data is: captured right the first time, validated through automated means, and integrated into business processes. Whether its data profiling or in depth root cause analysis, data stewards can be counted on to ensure the organization's mission critical data is reliable. In this webinar we will approach this framework, and punctuate important facets of a data steward’s role. Learning Objectives: - Understand the business need for a data governance framework - Learn why embedded data quality principles are an important part of system/process design - Identify opportunities to help drive your organization to a data driven culture

Data-Ed Slides: Best Practices in Data Stewardship (Technical)

While wrath and envy are best left for human resources to address, overcoming the numerous obstacles that often inhibit successful data management must be a full organizational effort. The difficulty of implementing a new data strategy often goes underappreciated, particularly the multi-faceted nature of the challenges that need to be met. Deficiencies in organizational readiness and core competence represent clearly visible problems faced by data managers, but beyond that there are several cultural and structural barriers common to virtually all organizations that must be eliminated in order to facilitate effective management of data. In this webinar, we will discuss these barriers—the titular “Seven Deadly Data Sins”, and in the process will also: Elaborate upon the three critical factors that lead to strategy failure Demonstrate a two-stage data strategy implementation process Explore the sources and rationales behind the “Seven Deadly Data Sins”, and recommend solutions and alternative approaches

Data-Ed Webinar: The Seven Deadly Data Sins - Emerging from Management Purgatory

Despite its immaterial nature, data has a tendency to pile up as time goes on, and can quickly be rendered unusable or obsolete without careful maintenance and streamlining of processes for its management. This presentation will provide you with an understanding of reference and Master Data Management (MDM), one such method for keeping mass amounts of business data organized and functional towards achieving business goals. MDM’s guiding principles include the establishment and implementation of authoritative data sources and effective means of delivering data to various business processes, as well as increases to the quality of information used in organizational analytical functions (such as BI). To that end, attendees of this webinar will learn how to: Structure their Data Management processes around these principles Incorporate Data Quality engineering into the planning of reference and MDM Understand why MDM is so critical to their organization’s overall data strategy Discuss foundational MDM concepts based on “The DAMA Guide to the Data Management Body of Knowledge” (DAMA DMBOK)

Fisher Practice Areas 2012

fish1960

The Importance of Master Data Management

Many are confused when it comes to data. Architecture, models, data - it can seem a bit overwhelming. This webinar offers a clear explanation of Data Modeling as the primary means of achieving better understanding of Data Architecture. Using a storytelling format, this webinar presents an organization approaching the daunting process of attempting to better leverage its data. The organization is currently not knowledgeable of these concepts and begins the process of understating its current state as well as a desired future state. We join as the organization takes steps to better understand what is has and what it needs to accomplish to employ Data Modeling and Architecture to achieve its mission.

Data Architecture vs Data Modeling

It is clear that Data Management best practices exist and so does a useful process for improving existing Data Management practices. The question arises: Since we understand the goal, how does one design a process for Data Management goal achievement? This approach combines the DM BoK and the CMMI/DMM, permitting organizations with the opportunity to benefit from the best of both. The approach permits organizations to understand current Data Management practices, strengths to leverage, and remediation opportunities. In a nutshell, it describes what must be done at the programmatic level to achieve better data use.

DataEd Slides: Data Management Best Practices

Despite its immaterial nature, data has a tendency to pile up as time goes on, and can quickly be rendered unusable or obsolete without careful maintenance and streamlining of processes for its management. This presentation will provide you with an understanding of reference and master data management (MDM), one such method for keeping mass amounts of business data organized and functional towards achieving business goals. MDM’s guiding principles include the establishment and implementation of authoritative data sources and effective means of delivering data to various business processes, as well as increases to the quality of information used in organizational analytical functions (such as BI). To that end, attendees of this webinar will learn how to: - Structure their data management processes around these principles - Incorporate data quality engineering into the planning of reference and MDM - Understand why MDM is so critical to their organization’s overall data strategy

The Importance of MDM - Eternal Management of the Data Mind

In many organizations and functional areas, data has pulled even with money in terms of what makes the proverbial world go ‘round. As businesses struggle to cope with the 21st century’s newfound data flood, it is more important than ever before to prioritize data as an asset that directly supports business imperatives. However, while organizations across most industries make some attempt to address data opportunities (e.g. Big Data) and data challenges (e.g. data quality), the results of these efforts frequently fall far below expectations. At the root of many of these failures is poor organizational data management—which fortunately is a remediable problem. This webinar will cover three lessons, each illustrated with examples, that will help you establish realistic goals and benchmarks for data management processes and communicate their value to both internal and external decision makers: - How organizational thinking must change to include value-added data management practices - The importance of walking before you run with data-focused initiatives - Prioritizing specification and data governance over “silver bullet” analytical tools

Data-Ed Slides: Data-Centric Strategy & Roadmap - Supercharging Your Business

This presentation provides you with an understanding of the goals of reference and master data management (MDM), including establishing and implementing authoritative data sources, establishing and implementing more effective means of delivery data to various business processes, as well as increasing the quality of information used in organizational analytical functions (such as BI). You will understand the parallel importance of incorporating data quality engineering into the planning of reference and MDM. Check out more of our Data-Ed webinars here: http://www.datablueprint.com/resource-center/webinar-schedule/

Data-Ed: Business Value From MDM

Data Blueprint

This presentation provides you with an understanding of the goals of reference and master data management (MDM), including establishing and implementing authoritative data sources, establishing and implementing more effective means of delivery data to various business processes, as well as increasing the quality of information used in organizational analytical functions (such as BI). You will understand the parallel importance of incorporating data quality engineering into the planning of reference and MDM. Takeaways: What is reference and MDM? Why are reference and MDM important? Reference and MDM Frameworks Guiding principles & best practices

Data-Ed Online Webinar: Business Value from MDM

Data architecture is foundational to an information-based operational environment. It is your data architecture that organizes your data assets so they can be leveraged in your business strategy to create real business value. Even though this is important, not all data architectures are used effectively. This webinar describes the use of data architecture as a basic analysis method. Various uses of data architecture to inform, clarify, understand, and resolve aspects of a variety of business problems will be demonstrated. As opposed to showing how to architect data, your presenter Dr. Peter Aiken will show how to use data architecting to solve business problems. The goal is for you to be able to envision a number of uses for data architectures that will raise the perceived utility of this analysis method in the eyes of the business. Takeaways: Understanding how to contribute to organizational challenges beyond traditional data architecting How to utilize data architectures in support of business strategy Understanding foundational data architecture concepts based on the DAMA DMBOK Data architecture guiding principles & best practices

Data-Ed Webinar: Data Architecture Requirements

Data architecture is foundational to an information-based operational environment. It is your data architecture that organizes your data assets so they can be leveraged in your business strategy to create real business value. Even though this is important, not all data architectures are used effectively. This webinar describes the use of data architecture as a basic analysis method. Various uses of data architecture to inform, clarify, understand, and resolve aspects of a variety of business problems will be demonstrated. As opposed to showing how to architect data, your presenter Dr. Peter Aiken will show how to use data architecting to solve business problems. The goal is for you to be able to envision a number of uses for data architectures that will raise the perceived utility of this analysis method in the eyes of the business. Find out more: http://www.datablueprint.com/resource-center/webinar-schedule/

Data-Ed: Data Architecture Requirements

Data Blueprint

If your organization understands your function, they see you as an investment. If your organization does not understand what you do, they are likely to perceive you as a cost. The goal of this webinar is to provide you with concrete ideas for how to reinforce the first mindset at your organization. Success stories must be used to ensure continued organizational support. When selling data governance to organizational management, it is useful to concentrate on the specifics that motivate the initiative. This means developing a specific vocabulary and set of narratives to facilitate understanding of your organizational business concepts. For example: using specific common terms (and narratives) when referencing organizational mishaps, e.g. The Chocolate Story. Learning Objectives: Understanding contextually why data governance can be tricky for most organizations Demonstrate a variety of “storytelling” techniques How to use “worst practices” to your advantage Understanding foundational data governance concepts based on the Data Management Body of Knowledge (DMBOK) Taking away several novel but tangible examples of generating business value through data governance

Data-Ed: Unlock Business Value through Data Governance

Data Blueprint

DataEd Online: Unlock Business Value through Data Governance

Data tends to pile up and can be rendered unusable or obsolete without careful maintenance processes. Reference and Master Data Management (MDM) has been a popular Data Management approach to effectively gain mastery over not just the data but the supporting architecture for processing it. This webinar presents MDM as a strategic approach to improving and formalizing practices around those data items that provide context for many organizational transactions—its master data. Too often, MDM has been implemented technology-first and achieved the same very poor track record (one-third succeeding on-time, within budget, and achieving planned functionality). MDM success depends on a coordinated approach typically involving Data Governance and Data Quality activities. Learning Objectives: - Understand foundational reference and MDM concepts based on the Data Management Body of Knowledge (DMBOK) - Understand why these are an important component of your Data Architecture - Gain awareness of Reference and MDM Frameworks and building blocks - Know what MDM guiding principles consist of and best practices - Know how to utilize reference and MDM in support of business strategy

Dgs profile

Datamind Global Services

Dgs profile

Datamind Global Services

DataEd Webinar: Reference & Master Data Management - Unlocking Business Value

This webinar explores the organizational constructs and processes for enabling business to build better insights through Data Quality, Data Engineering, and Data Science. In particular, it examines the needs for: A Data Lab to foster an open, questioning, and collaborative environment to develop the right data principles, patterns, and standards. A Data Factory to implement those standards developed in the Data Lab. Different Data Quality requirements in the Lab and Factory, how Data Engineering aims to meet both needs. Data Engineering, in advance of the sexier Data Science, to create the right environments in both the lab and the factory and to actually examine the data. All of the above to provide the data needed to create more efficient processes for the Data Scientists to be more effective in their roles. Join this webinar to hear Tom “The Data Doc” Redman discuss with Dr. Prashanth Southekal, recent author of Data for Business Performance, the details of achieving better insights with examples of a case study from an Oil and Gas company.

Webinar: Data Quality, Data Engineering, and Data Science

Data Architecture is foundational to an information-based operational environment. Without proper structure and efficiency in organization, data assets cannot be utilized to their full potential, which in turn harms bottom-line business value. When designed well and used effectively, however, a strong Data Architecture can be referenced to inform, clarify, understand, and resolve aspects of a variety of business problems commonly encountered in organizations. The goal of this webinar is not to instruct you in being an outright Data Architect, but rather to enable you to envision a number of uses for Data Architectures that will maximize your organization’s competitive advantage. With that being said, we will: Discuss Data Architecture’s guiding principles and best practices Demonstrate how to utilize Data Architecture to address a broad variety of organizational challenges and support your overall business strategy Illustrate how best to understand foundational Data Architecture concepts based on “The DAMA Guide to the Data Management Body of Knowledge” (DAMA DMBOK)

Data Architecture Strategies

Given the changing customer data landscape, the question is no longer why do you need a Customer Data Platform (CDP), but instead, which one is best suited for your organization’s needs. That’s why, in this webinar, we talked through key findings from our brand new 2022 State of the CDP report to help you prepare for the year ahead! In this report, we surveyed more than 1,000 marketing and business leaders globally to better understand how they’re planning to use a CDP in the coming year. We’ll also review key findings like: - The top areas where executives believe technology will have the biggest impact this year - Why 87% of marketers are expecting to increase tech spend in 2022 - Ways marketers are using a CDP to drive digital transformation and keep up with the trends in the landscape

Similar to Digital Velocity London 2017 - Tackling Data Ownership, Tony Gosling (20)

Key Elements of a Successful Data Governance Program

Data-Ed Slides: Best Practices in Data Stewardship (Technical)

Data-Ed Webinar: The Seven Deadly Data Sins - Emerging from Management Purgatory

Fisher Practice Areas 2012

The Importance of Master Data Management

Data Architecture vs Data Modeling

DataEd Slides: Data Management Best Practices

The Importance of MDM - Eternal Management of the Data Mind

Data-Ed Slides: Data-Centric Strategy & Roadmap - Supercharging Your Business

Data-Ed: Business Value From MDM

Data-Ed Online Webinar: Business Value from MDM

Data-Ed Webinar: Data Architecture Requirements

Data-Ed: Data Architecture Requirements

Data-Ed: Unlock Business Value through Data Governance

DataEd Online: Unlock Business Value through Data Governance

Dgs profile

DataEd Webinar: Reference & Master Data Management - Unlocking Business Value

Webinar: Data Quality, Data Engineering, and Data Science

Data Architecture Strategies

More from Tealium

2022 State of the CDP: Key Findings for Tackling the New Age of Data

This deck is from the fourth masterclass in our masterclass series on Preparing for Life Beyond the Third-Party Cookie. We’re well into 2021 and data privacy has continued its push out of the InfoSec and legal team agenda and into the customer experience. Whether data privacy conversation takes the context of shifting consumer attitudes, new regulations or technology changes – the fact remains that privacy is now an integral piece of marketing and customer experience. Check out this deck to discover: - How privacy is driving changes in your advertising and measurement strategy - Strategies to power privacy - Key ways to build up customer trust with first-party data

Show Me You Care: Why You Should Be Talking About Privacy and Value-Exchange

Third-Party Cookie Loss Masterclass 3: Making Sense of the Changing Identity ...

This deck is from the second session in our masterclass series on Preparing for Life Beyond the Third-Party Cookie. Discover what to do about your Data Management Platform (DMP) when third-party cookies have crumbled. We also share strategies you can start deploying today to help you stay ahead of the changes. Be sure to check out the on-demand sessions at: https://tealium.com/master-class-preparing-for-the-third-party-cookie-loss/

Third-Party Cookie Loss Masterclass 2: Dude, What About My DMP?

Third-Party Cookie Loss Masterclass 1: So Your Cookie Crumbled, What's Next?

Customer data is the key ingredient to driving loyalty and retention. Why? Because you can only proactively identify and target high-risk and high-value customers when you have a complete and accurate picture of your relationship. Digital Strategist, James Burnham shared ways to create digital experiences that keep your customers coming back for seconds. He also shared tips for: - Reducing churn by driving proactive advertising for high risk customers - Increasing engagement with customers who are most likely to purchase - Using predictive insights to fuel loyalty campaigns You can view the on-demand session on our website in our Resource Hub

Tasty Tech: 3 Proven Recipes for Increasing Loyalty and Retention

As more companies turn to digital-first customer engagement, brand loyalty continues to be tested. Consumers are eager to try new brands which means marketers have a unique opportunity to engage with consumers they might not have in the past. But what is the key to actually capturing and retaining these consumers? In the second webinar in our Definitive Guide to CDPs series, Director of Product Marketing, Jacob Spencer, shared inspiring CDP use cases to create customers for life. Discover how a CDP can help you take advantage of this digital spike with the ability to: - Find new customers without relying on third-party cookie tracking - Uphold and adjust privacy preferences with access to consent data in real time - Increase return on ad spend and click-through rates like the Utah Jazz! You can view the on-demand session on our website in our Resource Hub

Acquisition, Loyalty and Retention: How a CDP Creates Customers for Life

There’s no question that Customer Data Platforms are changing the way organizations engage with their customers. Truth be told, if this tool is missing from your martech stack, you’re probably missing out on crucial customer insights. That’s why in the first webinar in our Guide to CDP Success series, Director of Product Marketing, Matt Parisi, explained how a CDP can be your greatest competitive advantage. We covered topics like: - See how you can create dynamic customer identities for better segmentation - Discover how a CDP provides your entire tech stack with unified data in real time - Understand why this technology is critical to your current and future success You can view the on-demand session on our website in our Resource Hub

[Webinar] The Best Kept Marketing Secret to Achieving Complete Customer Views

The loss of third-party cookies is rewriting the rules of digital marketing. Companies will have to rethink everything from ad spend and attribution to consumer privacy and measuring ROI. But not to worry – there are key ways to prepare for third-party cookie loss and it starts with first-party data. Discover how switching to a first-party data strategy now will help you not only prepare for the loss of third-party cookies but also deliver more meaningful customer experiences. You’ll learn: - How crumbling third-party cookies will affect your organization - How brands can equip their internal teams to manage the upcoming change - Tools that enable brands to become browser independent - Tips to understand how to best collect, store and use your data You can view the on-demand session on our website in our Resource Hub

[Webinar] How the Cookie Crumbled: Preparing for a Time without Third-Party C...

Digital Velocity London 2018 - How to Build Your Company's Core Innovation Ma...

Digital Velocity London 2018 - Getting to Grips with Global B2B, Julian Brewer

Digital Velocity London - What's The Future for Data Orchestration, Tealium D...

Korbinian Spann, W. L. Gore & Associates (the GORE-TEX® company) presents the necessary steps to realize a framework for personalisation within a global B2B company. In this case, a relaunch of the analytics and tracking infrastructure was the beginning of the transformation. Examples in relation to the outdoor industry are provided to demonstrate the implementation of a technical infrastructure and the development cycle for designing and creating user stories in a global context. This session specifies a robust multi-channel measurement framework that focuses on conversion and engagement. The following four steps structure the session: The global setup and the implementation of a global measurement framework: consumer access Tracking and technical setup The US pilot The Use cases

Digital Velocity London 2018 - How to drive personalisation at a global B2B c...

Digital Velocity London 2018 - James Morgan, Sainsbury's

Digital Velocity London 2017: Understanding AudienceStream Timeline and Funne...

Digital Velocity London 2017: Mobile, IOT, Cloud

Digital Velocity London 2017: All About The Data

Digital Velocity London 2017 - Tealium Universal Data Hub Use Cases, Danny Mo...

Digital Velocity London 2017 - Using Real Time Data to Target New Customers, ...

Digital Velocity London 2017 - Data Privacy and Sovereignty, Sheila Fitz Patrick