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Understanding the CX Ecosystem to Succeed in the Age of the Customer

In order to succeed in today’s business climate, every part of the organization must come together to consistently deliver a great customer experience. Join guest speaker Megan Burns as she shares her latest research on why this is the case and how companies can do this effectively. Viewers will learn how customer experience affects customer loyalty, which drivers of the experience impact loyalty the most, and best practices for establishing a disciplined system for customer understanding. Denodo will provide examples of companies delivering great customer experience across industries using data virtualization.
Recorded Sep 1 2015 64 mins
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Presented by
Megan Burns, Vice President, Principal Analyst at Forrester Research
Presentation preview: Understanding the CX Ecosystem to Succeed in the Age of the Customer

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  • The Big BI Dilemma - Bimodal Logical Data Warehouse to the Rescue! Dec 6 2016 7:00 pm UTC 60 mins
    Rick van der Lans, Independent Industry analyst, Lakshmi Randall, Head of Product Marketing for Denodo
    The classic unimodal data warehouse architecture has expired because it is restricted to primarily supporting structured data but not the newer data types such as social, streaming, and IoT data. New BI architecture, such as “logical data warehouse”, is required to augment the traditional and rigid unimodal data warehouse systems with a new bimodal data warehouse architecture to support requirements that are experimental, flexible, explorative, and self-service oriented.

    Learn from the Logical Data Warehousing expert, Rick van der Lans, about how you can implement an agile data strategy using a bimodal Logical Data Warehouse architecture.
    In this webinar, you will learn:

    · Why unimodal data warehouse architectures are not suitable for newer data types
    · Why an agile data strategy is necessary to support a bimodal architecture
    · The concept of Bimodal Logical Data Warehouse architecture and why it is the future
    · How Data Virtualization enables the Bimodal Logical Data Warehouse
    · Customer case study depicting successful implementation of this architecture
  • Design Fast Data Architecture for Big Data with Logical Data Warehouse & Lakes Recorded: Aug 24 2016 56 mins
    Kurt Jackson, Platform Lead, Autodesk
    A Case Study presented by Kurt Jackson, Platform Lead, Autodesk

    Companies such as Autodesk are fast replacing the once-true- and-tried physical data warehouses with logical data warehouses/ data lakes. Why? Because they are able to accomplish the same results in 1/6 th of the time and with 1/4 th of the resources.

    In this webinar, Autodesk’s Platform Lead, Kurt Jackson,, will describe how they designed a modern fast data architecture as a single unified logical data warehouse/ data lake using data virtualization and contemporary big data analytics like Spark.

    Logical data warehouse / data lake is a virtual abstraction layer over the physical data warehouse, big data repositories, cloud, and other enterprise applications. It unifies both structured and unstructured data in real-time to power analytical and operational use cases.

    Attend and Learn:

    -Why logical data warehouse/ data lakes are the bedrock of modern data architecture
    -How you can build a logical data warehouse using data virtualization
    -How to create a single, unified enterprise-wide access and governance point for any data used within the company

    Become a fast data strategy expert in one hour!
  • Democratizing Big Data Using Data Virtualization Recorded: Feb 3 2016 67 mins
    Noel Yuhanna, Forrester Research; Matthew Morgan, Hortonworks; Ravi Shankar, Denodo
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    This compelling content is presented by experts with deep experience in analytics, big data, and data integration. Expect to walk away with actionable insights in 60 minutes:

    * Learn about the latest innovations in big data, and which ones should matter to you most
    * The three practical use cases for which you can use big data now
    * Examples of customers who are successfully combining Hadoop with enterprise data using data virtualization

    Featured Presenters:

    Forrester: Noel Yuhanna – Principal Analyst
    Hortonworks: Matthew Morgan – VP, Product and Alliance
    Denodo: Ravi Shankar – Chief Marketing Officer

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    * Forrester: How to keep up with the major innovations in big data – 20 min
    * Hortonworks: Top three big data use cases – 15 min
    * Denodo: Democratizing big data with data virtualization – 15 min
    * Q&A – 10 min
  • Business Agility Must Be Based on a New Flexible and Agile Data Approach Recorded: Oct 5 2015 73 mins
    Holger Kisker, Ph.D.,Vice President, Research Director
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  • Build a Contextual Marketing Engine and Fuel It with Data Recorded: Sep 17 2015 55 mins
    Cory Munchbach, Analyst
    In this webinar, join guest speaker and analyst at Forrester Research Inc., Cory Munchbach, as she presents the contextual marketing engine, how to build one, and the role of big data and data virtualization in making it go.
  • Hadoop and Data Virtualization - A Case Study by VHA Recorded: Sep 8 2015 62 mins
    Ben Blakeney, VHA - Ravi Shankar, Denodo - Richard Proctor, Hortonworks
    VHA (Voluntary Hospitals of America: https://www.vha.com/) is the largest member-owned health care company in the US delivering industry-leading supply chain management services and clinical improvement services to its members. At VHA, product, supplier, and member information, among other data, is siloed across multiple sources. VHA sees value in consolidating the disparate data into a Data Lake, supported by the Hortonworks Data Platform, to enable the business users to discover the related data and provide services to their members. Because of their previous success with data virtualization, powered by Denodo, VHA decided to use data virtualization to enable their business users to discover data using the familiar SQL, and thus abstract their access directly to Hadoop.

    During this webinar, you will learn:

    · The role, use, and benefits of Hadoop in the Modern Data Architecture.
    · How Hadoop and data virtualization simplified data management and enabled faster data discovery.
    · What data virtualization is and how it can simplify big data projects.​
    · Lessons learned from and best practices for deploying data lake and data virtualization

    Speakers:

    - Ben Blakeney, Architecture and Engineering Services, VHA - https://www.vha.com/
    - Ravi Shankar, CMO, Denodo
    - Richard Proctor, General Manager, Global Healthcare at Hortonworks
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    Paul Moxon, Sr. Director, Product Management and Solution Architecture
    Data Virtualization is adopted as a critical information management capability by leading firms such as AAA and Biogen Idec to address the most pressing data and process integration challenges facing organizations today. Industry experts and analysts affirm its strategic role in enterprise architecture for increasing agility and flexibility in the delivery of information.

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    Things you will learn:

    • What Data Virtualization is and key data integration challenges solved.
    • How it both complements and leverages existing enterprise architectures.
    • The Denodo Data Virtualization platform, its capabilities and an overview of common usage patterns, eg Agile BI, etc
  • Understanding the CX Ecosystem to Succeed in the Age of the Customer Recorded: Sep 1 2015 64 mins
    Megan Burns, Vice President, Principal Analyst at Forrester Research
    In order to succeed in today’s business climate, every part of the organization must come together to consistently deliver a great customer experience. Join guest speaker Megan Burns as she shares her latest research on why this is the case and how companies can do this effectively. Viewers will learn how customer experience affects customer loyalty, which drivers of the experience impact loyalty the most, and best practices for establishing a disciplined system for customer understanding. Denodo will provide examples of companies delivering great customer experience across industries using data virtualization.
  • CIOs Must Enable Business Agility via Modern Data Management Recorded: Aug 28 2015 57 mins
    Craig Le Clair, Vice President, Principal Analyst at Forrester Research
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  • Data Virtualization: Advancements Driving Broad Adoption Recorded: Jun 18 2015 64 mins
    Guest Speaker, Noel Yuhanna, Principal Analyst at Forrester Research, Inc.
    Traditional data integration approaches can no longer satisfy today’s new requirements - increasing data volumes, heterogeneous complexity, and extreme agility required to support new business initiatives. Data Virtualization's flexible architecture and expanding features are driving broad adoption and growth as enterprise architects use the technology to create a virtual data services layer to support requirements for secure, self-service access to real-time or batch data for a wide range of applications and processes.
    In this webinar, guest speaker Noel Yuhanna, Principal Analyst at Forrester Research and lead author of recently published, The Forrester Wave™: Enterprise Data Virtualization, Q1 2015 report, explains the most up-to-date research on Data Virtualization - fresh trends, hot use cases and innovations, and why it is essential for modern data architectures. His presentation will be supplemented by a showcase of real-life examples from large and complex deployments of data virtualization by Paul Moxon, Senior Director of Product Management at Denodo.
    Attend and Learn:
    • How the innovative features and the flexible architecture of Data Virtualization are driving broader adoption of this technology.
    •Large scale customer use cases deploying data virtualization for self-service BI, big data analytics, cloud integration and enterprise data services.
    •Forrester recommended best practices for adoption of data virtualization.
  • Extended Data Warehouse - A New Data Architecture for Modern BI Recorded: Mar 5 2015 65 mins
    Claudia Imhoff, President, Intelligent Solutions & Founder, Boulder BI Brain
    Big Data, Internet of Things, Data Lakes, Streaming Analytics, Machine Learning…these are just a few of the buzzwords being thrown around in the world of data management today. They provide us with new sources of data, new forms of analytics, and new ways of storing, managing and utilizing our data. The reality however, is that traditional Data Warehouse architectures are no longer able to handle many of these new technologies and a new data architecture is required.

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    Watch this webinar, featuring Dr. Claudia Imhoff, who addresses these questions and presents the Extended Data Warehouse architecture (XDW), demonstrating the need for each component and how an enterprise combines these into appropriate workflows for proper decision support.

    Attendees will learn:

    * The new analytical and technical components in the Extended Data Warehouse.
    * The use cases for each of these components.
    * The best practices and considerations involved in the implementation of the XDW.
    * The important role of data virtualization and associated case studies demonstrating its usage.
Achieving Business Agility with Data Virtualization
For IT professionals who are focused on data integration and enterprise data management and are overwhelmed by the growing number of data and data types, data virtualization provides real-time integration with agility to access and integrate disparate sources with ease. For business professionals, Data Virtualization brings agile information access that in turn drives business agility. The webcasts provided in this channel by Denodo, the leader in Data Virtualization, provide the latest in common usage patterns, use cases, best practices and strategies for driving business value with data virtualization.

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  • Title: Understanding the CX Ecosystem to Succeed in the Age of the Customer
  • Live at: Sep 1 2015 5:00 pm
  • Presented by: Megan Burns, Vice President, Principal Analyst at Forrester Research
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