DATE: April 14, 2021, This event has passed. The recordings will be published On Demand in our Product Demos within the next week of the live event.
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: The Importance of Data Lineage for Your Data Quality Processes
Data Quality issues cost businesses millions of dollars each year in both lost revenue and direct or indirect costs associated with Data Quality processes. Optimizing and improving the efficiency of your overall Data Quality process makes organizations not only more competitive but allows them to comply with regulations, reduce the risk of losing customer reputation, and reduce but especially do more with existing Data Quality budgets. In this session, we are focusing on how data lineage helps you save money on manual labor by automating data lineage discovery, how to keep your data pipeline healthy by preventing data incidents, and how to migrate painlessly to the cloud.
Ernie Ostic
Senior Vice President of Products, MANTA
Ernie is SVP of products at MANTA, focusing on solutions for lineage and metadata integration. He has over 30 years of experience in the data integration space, including 20-plus years at IBM, working in a variety of roles with responsibilities in product management and technical sales support. For most of the past decade, Ernie has been providing guidance in information governance and helping architect custom lineage solutions. Earlier in his career, Ernie was building decision support systems with fourth-generation languages and data access middleware. Ernie maintains a blog on open metadata, data lineage, and overall metadata management and governance. He is a graduate of Boston College.
While not pursuing MANTA initiatives, working on his blog, or spending time with family, Ernie enjoys woodturning and motorcycles.
Session 2: Helping the Enterprise Build Good Data Products Through Monitoring and Testing Data Quality
Businesses are moving from using data to being built entirely on data, but there are challenges in terms of how they collect, process, and maintain data. The quality of a data-driven decision depends entirely on the quality of the data on which it’s based, yet perceptions and practices around Data Quality haven’t kept up with its growing importance to provide trusted data that can help deliver efficiency and faster business decisions made with greater confidence.
Join Maarten Masschelein, co-founder and CEO of Soda, to hear how organizations are building data products and improving Data Quality issues using the Soda data monitoring platform. Our product experts will showcase why maintaining Data Quality is a team sport and how Soda is enabling data engineers, owners, and producers, to easily test, monitor, and solve issues in one platform before they have an adverse impact on the business downstream.
Maarten Masschelein
CEO & Co-Founder, Soda
Maarten Masschelein is co-founder and CEO of Soda, the data monitoring platform that keeps your data fit for purpose, verifiable, and trustworthy. He is responsible for the company’s business and product strategy. Prior to co-founding Soda, Maarten was responsible for field operations at Collibra, a unicorn data intelligence company. He holds a master’s in Business Information Management from the University of Leuven and a master’s in General Management from the Vlerick Business School.
Mathisse De Strooper
Product Manager, Soda
Mathisse loves to dig into customer problems and solve them with modern technology. He creates, designs, and optimizes products that matter. To accomplish this, Mathisse focuses on delivering key outcomes, being data-driven, and quickly adapting to new learnings.
He is leading the product management team at Soda where we are building a data observability and collaboration platform for your data teams. An easy-to-use, collaborative environment that tells you about important data events in real-time, across your data infrastructure.
In the past, Mathisse has enjoyed different Product Manager roles at Collibra where he built products to help organizations to unlock the value of their data and turn it into a strategic, competitive asset.
Mathisse holds a Bachelor degree in Computer Sciences – Software Management from Karel de Grote Hogeschool.
Session 3: Unison – Melissa’s Next-Generation Data Quality Platform
Resolving bad, dirty, or duplicate data is a costly and time-consuming process that only gets more complicated when dealing with millions of records across multiple platforms and databases. This is why it is essential to have the right tools to streamline and simplify the Data Quality approach.
Unison is Melissa’s next-generation customer data platform that empowers users to create and execute collaborative Data Quality jobs in a highly scalable environment available in either a hosted environment or through SaaS.
In this webinar, we will take a look at:
- Creating Data Quality projects in Unison for address, name, phone, and email cleansing/verification
- Matching and deduplication with golden record and survivorship rules
- Job scheduling and automation
- Reports and analytics
Chris Moller
Sales Engineer, Melissa
Chris Moller has been a sales engineer with Melissa for two years. His main focus within the company is leading client demonstrations of Melissa’s web service products, and over his time with the company he has also become the subject matter expert for the enterprise platform solution Unison. Doing demonstrations and webinars is some of the most fun he has, so he looks forward to sharing Unison with everyone!
Session 4: Who Is Afraid of the Big Bad Data Wolf?
Just like the classic children’s fable of “The Three Little Pigs,” data professionals can feel like they are constantly building data houses in the form of new infrastructure and technology. However, when the full force of data blows in, these houses reveal themselves to be made of straw or sticks (like the first two pigs in the fable) and will get blown down under the pressure. This fear extends beyond data teams to business users who become afraid to touch anything in the data house for fear of breaking something or doing something wrong. This session will explore these fears around the use of data and how strategic Data Governance can give people the confidence to be curious and explore data. Let’s work together to build a data house of brick that can withstand all the coming big bad data wolves trying to blow it down.
Ben Schein
Vice President of Data Curiosity, Domo
Ben Schein has 20 years of experience leading business intelligence (BI), analytics, and finance teams. He is an expert in user adoption and implementing large-scale BI and analytics initiatives that deliver quantifiable business value. As vice president of data curiosity, he works to spark the fire of data curiosity in enterprises large and small across the world. His regular focus includes exploring data curiosity and innovation with Domo’s 1,500-plus customers and bringing the insights back to Domo’s product development teams. Ben also leads Domo’s Strategic Architecture Group, which looks at how to create data pipelines that are both resilient and efficient. Prior to Domo, Ben worked at Target Corporation, where he led merchandising analytics and enterprise BI capabilities within the Enterprise Data Analytics and BI (EDABI) Center of Excellence. Ben also led a similar insights team supporting Target’s digital business areas including site merchandising, guest fulfillment, digital merchandising, gift registry, subscriptions, item set-up, and digital media. Ben holds a bachelor’s degree in Philosophy, Politics, and Economics from the University of Pennsylvania and an MBA in Strategy and Finance from the Carlson School of Management at the University of Minnesota. He serves as the treasurer on the board of the Heilicher Minneapolis Jewish Day School.
Session 5: Streamline Data Management with OneTrust Data Governance
Organizations hold many types of data that are governed by many different laws, standards, and internal policies, and maintaining an effective Data Governance program is the key to demonstrating compliance and creating business value from this data. OneTrust Data Governance helps organizations to create a shared understanding of their data fabric by identifying types of data being processed and the policy and compliance requirements that apply while leveraging this information to enable stakeholders to implement proper controls. In this webinar, we’ll discuss how OneTrust Data Governance is built to help data-aware organizations:
- Lay the groundwork for good governance with deep-level discovery
- Refine and implement their Metadata Management strategy through proper policies and frameworks powered by regulatory intelligence
- Derive greater business value from their data ecosystem with a data catalog fully integrated into the OneTrust platform
Kelsey Naschek
Data Governance Offering Manager, OneTrust
Kelsey Naschek serves as Offering Manager for OneTrust Data Governance – part of the #1 most widely used privacy, security, and trust technology platform. In her role, Kelsey advises many of the world’s leading organizations throughout their Data Governance implementations to establish processes to support operations and align with their enterprise objectives, including gaining better knowledge and insight of their data landscape, ensuring data meets compliance and policy requirements and enabling greater use of the data. With over five years of professional information technology experience, Kelsey’s background combines extensive cross-functional solution implementations, as well as program management and business process design. She is a Certified Information Privacy Professional (CIPP/E, CIPM) and earned a Bachelor of Business Administration in Management Information Systems and Finance from the University of Georgia.
