DATE: September 15, 2021

TIME: 11 AM – 4 PM Eastern / 8 AM – 1 PM Pacific

PRICE: Free to all attendees

Welcome to DATAVERSITY’s next installment of Demo Day, an online exhibit hall. We’ve had many requests from our data-driven community for a vendor-driven online event that gives you an opportunity to learn more about the available tools and services directly from the vendors that could contribute to your Enterprise Data Management program success.

Register to attend one or all of the sessions or to receive the follow-up email with links to the slides and recordings.

Session 1: A Knowledge Graph Driven Recommender Engine

According to various studies, employees in knowledge-intensive industries spend >20% of their time searching for the right information. The right information might be the relevant document you are looking for, the right person to talk to, the right piece of equipment to use, etc. So relevance is key and ideally, you would want to describe what you are looking for and get back what best meets your expectations.

It is quite clear that no traditional search system can meet these expectations. But a recommender system built on a knowledge graph can do the trick. When you connect your business objects to the knowledge graph, each of those objects is given a semantic footprint. This footprint can be generated automatically, regardless of the type of object. It can be used in many cases to describe a document, a person, a device in more detail. It can be used to recommend similar objects or objects of a different type instead.

In my talk, I will show how such a system is built and works in a real-world example.

Helmut Nagy

Job Title: COO, Director of Professional Services

Since 2013, Helmut has been COO of the Semantic Web Company and is responsible for design and implementation of all customer-oriented processes, together with the involved teams and team leads based on SWC’s business strategy. He is working as the senior consultant on several customer projects (industry and public administration) and participates in European research projects. Helmut is co-author of “The Knowledge Graph Cookbook”.

Session 2: Building a Trusted Data Foundation in Azure with MDM

Taking the right architectural approach to data governance and master data management (MDM) in Azure can build a strong foundation for trusted data throughout the enterprise.

Today, organizations are rapidly migrating their data and applications to cloud platforms like Microsoft Azure as part of initiatives like digital transformation, building a business intelligence function or driving operational efficiencies. But as data is combined and data volumes grow, so does the need to govern and manage it across several systems to ensure it is of high quality and trusted for business use. Fortunately, the integration of Azure Purview and Profisee MDM is designed to do just that.

Join us as we discuss the complementary roles of Azure Purview and Profisee MDM. See how they have been integrated to share metadata, inform master data model design and ultimately build a foundation of data governance and master data management to maximize the business value of data in Azure.

Martin Boyd

VP Product Marketing at Profisee

Martin Boyd is VP Product Marketing at Profisee and has over 10 years’ experience in MDM, Governance and Data Quality.

…

Eric Melcher

CTO at Profisee

Eric Melcher is CTO at Profisee.  He has spent the entirety of his 15+ year career working in the enterprise information management space.  As Chief Technology Officer, Eric is responsible for all aspects of product development for Profisee’s software portfolio, both inbound and outbound.

Session 3: : Data Virtualization and Data Integration Update — Building a Modern Enterprise Data Architecture with AI and Active Metadata

Gartner projects by 2022, 60% of all organizations will implement data virtualization as one key delivery style in their data integration architecture.  Denodo again is a Leader in the 2021 Gartner Magic Quadrant for Data Integration Tools and named the Best Data Virtualization Solution in DBTA’s 2021 Readers’ Choice Awards. 

In Gartner’s 2020 research paper: Demystifying the Data Fabric, Gartner discusses that the core of the data fabric is able to consolidate many diverse data sources in an efficient manner by allowing trusted data to be delivered from all relevant data sources to all relevant data consumers through one common layer.

Attend this webinar to learn:

• How to connect to a data fabric
• How active metadata is used to feed an AI-based recommendation engine
• How to create, load and selectively materialize data for accelerating query performance
• How the data fabric is able to migrate data sources without impacting users and application

Dave Chiou

Senior Solutions Engineer, Denodo

Dave is a Senior Solutions Engineer at Denodo, a leading data virtualization company.  He has over 25 years of experience working with customers on data virtualization, data governance, data warehouse, big data and analytics projects.  Dave has spoken at several user groups and regional DAMA meetings.  Prior to joining Denodo, he worked at IBM supporting many Fortune 100 customers and was an IBM Redbook author on Data Warehousing.  He holds a MBA and Bachelor’s degree in Electrical Engineering from the University of Illinois.

Session 4: Dawn into an Intelligent Future with Smart Data Management

Are you excited about big data and advanced analytics not just because of bulky data but also the big potential impact? Capturing the essence of data analytics requires the building blocks of any good strategic transformation: adoption, integration, and management. As an award-winning data and analytics company, Compunnel Digital equips you with breakthrough solutions in data governance, data catalog & lineage, data integration, data stewardship, and data quality management. Our focus is to implement tools, producers, and policies required for a robust EDM, paving way for enhanced governance, uncompromised quality, and holistic MDM.

Join us for a deep dive into how we enabled successful EDM solutions –

1. Enterprise data intelligence platform providing automation and real time analytics while complying with HIPPA standards.
2. Advanced Data Analytics solution incubating data quality and MDM that provides increased operational efficiency, risk management, and revenue growth
3. Unifying disparate systems with Data Management Solution to streamline data processes and IT & business alignment.
4. Unified marketing analytics platform that drives digital ROI for you.

John Ebenezer

VP & Head of Data and Analytics

John Ebenezer is the Vice President & Head of Data and Analytics at Compunnel Digital. He is a visionary leader in an evolving technology landscape with a track record of inspiring excellence, more focused towards Performance, Business Development and Innovation. He has over 20 years of overall experience in Data Analytics, Big Data, Data Management, Data Warehousing, Business Intelligence. He has led several large data engagements for fortune 500 clients across various industry verticals like BFSI, Retail, Manufacturing, Education, Healthcare to name a few.

Session 5: The Future of First-Party, Cookieless Identity Resolution for a Cohesive Omni-channel Customer Experience

Organizations that cannot recognize and match individuals across disparate data sources and multiple channels are losing opportunities to deliver and measure revenue-increasing experiences across marketing, CRM, media, and service channels. This problem is exacerbated on web properties where customers may browse your site, but you have no way of knowing who they are to connect them to relevant experiences or provide relevant offers.

Merkury, Merkle’s identity resolution solution, enables the growth of first-party identity and data for organizations and provides an easy-to-use interface for resolving offline and online identity to a single person-based master ID. With features including a privacy-safe data clean room for person-based audience segmentation with modeling and analytics, the power of identity is in your hands. It is the only enterprise identity platform that brings together the accuracy and sustainability of client first-party data, quality PII-based, third-party data, and the most cookieless media and technology platform connections in the market. Merkury also allows organizations to grow their own transparent Private Identity Graph. 

In this session, we will demonstrate how brands can recognize unauthenticated site visitors and leverage this information to identify buying signals to retarget these individuals and deliver an exceptional customer experience. Our guest speaker, Amy Nelson from Big Lots, will provide insight into how this solution will impact her organization as well as on the retail industry at large.

Jim Finnerty

CEO, 4Cite, A Merkle Company

Jim is CEO and a founding partner of 4Cite, the first and only full-service, People-based Identification and Data Insights services provider with a centralized interaction hub that uses innovative web visitor identification technology and advanced data and analytics to identify previously unidentifiable customers to influence purchasing activity with proprietary technology that enables retailers to acquire, retain and reactivate customers, driving brand loyalty and increased revenues. We help our clients deliver the right message, at the right time, to the right customer, within the right channel.

Gaelyn Almeida

Sr. Director, Technology Strategy, Merkle

As Marketing Technology strategist, Gaelyn specializes in advising top US brands on how to use data, analytics, and technology to transform their customer experience across channels. Her work spans multiple industry verticals, with a focus on finance and wealth management. She helps customers navigate the complexities of digital marketing, providing them with detailed recommendations, actionable roadmaps, and agile implementation plans, which they can execute against to realize their business goals.

Amy Nelson

VP, CRM & Loyalty, Big Lots Stores

Amy Nelson is VP, CRM and Loyalty at Big Lots. She leads the customer marketing and data, martech, loyalty, analytics, and customer insights efforts to advance Big Lots’ commitment to deliver increasingly personalized customer experiences. Her curiosity and passion for the customer has led her to some terrific brands including Abercrombie & Fitch, Hollister, Bath and Body Works and Victoria’s Secret. Amy has a PhD in quantitative sociology from (The) Ohio State University and applies her knowledge of group dynamics and test design every day in customer marketing. Amy loves to explore new places. She recently returned from an adventurous visit to Alaska and has trips planned to Greece, Scotland, Japan and Disney’s Star Wars Galactic Starcruiser.

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