DATE: November 3, 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 Data Governance 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: Building a Path to Data Intelligence
In order to build a trusted brand, organizations must employ a data strategy that transforms compliance initiatives into data intelligence. True data intelligence builds upon compliance and extends to the people, processes, and technology involved in the use and transformation of data into tangible business value.
In this webinar, we’ll discuss how organizations can build a path towards data intelligence with a central platform built to:
- Integrate data privacy and security across a single codebase to enable the re-use of data and existing compliance initiatives for core governance capabilities
- Leverage AI/ML driven discovery and classification to create an accurate picture of your data fabric with regulatory context
- Embed policies into your data inventory to control data access, retention, and use based on up-to-date regulatory research
Data Governance Solutions Engineer
Leila Jacob serves as a Data Governance Solutions Engineer at OneTrust – the #1 most widely used privacy, security and governance technology platform. In her role, Jacob advises companies 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. Jacob is a Certified Information Privacy Professional, CIPP/E and CIPM, and earned a Bachelor in Science in Computer Science from Thomas Edison State College.
Session 2: Navigating Through the Data Privacy Labyrinth
Currently, 128 countries have data privacy laws and by 2022, over 1m organizations will have a DPO. For each of us, ensuring our personal data is kept under control is paramount as we navigate through life. For global organizations, leveraging customer data to deliver business results while juggling the demands of multiple regulators and jurisdictions is extremely challenging.
In this presentation, we’ll show that by institutionalizing a ‘lineage first’ approach to data management, tracking personal data, its use, and how it interacts with your organization’s systems and processes across jurisdictions, becomes seamless. With Solidatus, compliance expenditure isn’t narrowly constrained and can, instead, be transformative – an opportunity to elevate and transform a business’ data capabilities.
Co-CEO & Co-founder
Since its inception, Philip has led the Solidatus vision and team as Co-CEO and Co-Founder. With over two decades of industry experience, Philip has become a recognized and influential thought leader within the FinTech, RegTech and Data Management space and has campaigned to revolutionize the data economy and change the way the world manages data. Prior to Solidatus, Philip delivered multiple global digital transformation projects across industries, championing businesses to become proactive in their management of data. He has supported organizations in delivering quantifiable and future-proof business results, while leading the Solidatus team in addressing real-life data challenges by uncovering its true value. He holds a Bachelor’s Degree in Information Technology in Information Systems and Software Engineering (Honours I) from Griffith University in Australia.
Session 3: How to Put Agile Data Governance into Action
What happens when enterprises use a data catalog? They start indexing all of their knowledge and unifying people, data, and analysis to achieve their goals. In this session, you’ll see data.world platform in action and get inspired by how Agile Data Governance can take your data and analytics strategy to the next level.
Director of Sales Engineering
Stewart Coerver is the Director of Sales Engineering at data.world with 10+ years of experience in data management and strategy, including deep experience with data catalog and governance platforms. After witnessing many failed implementations, Stewart is eager to help organizations reach milestones in their digital transformation journeys by building a transparent, collaborative environment for data consumers and producers to get their work done. Outside of his professional life, Stewart loves crossword puzzles, sports and tv binging, hiking, and keeping up with a six year old.
Session 4: erwin Data Vault Automation
Come see the most comprehensive Data Vault Automation suite the market has to offer in erwin Data Modeler and erwin Data Intelligence Suite. From the Model and DDL generation, to the Metadata, to Data Movement – everything is covered and automated for ease of implementation and greater sustainability. Our erwin Data Vault Automation and Governance session will cover a high-level overview of the integrated solution erwin provides as well as Data Vault specific code generation. erwin combined with best practices based on “Building a Scalable Data Warehouse with Data Vault 2.0”(Linstedt & Olshmeike), is put into action – no restrictions on naming conventions, data types or data lengths with Smart Connector API for settings at the System Environment Table and Column level properties. We’ll discuss custom solutions for CDC, Orchestration, Scheduling, Governance, ETL Frameworks, Automated Deployment, and Transformations or Rules.
Software Development Principal Engineer
Paul Kinnier is erwin by Quest in house Data Vault 2.0 expert with 8+ years of experience with Data Vault Solutions. He is a certified CDVP2 practitioner and the creator of the RapidDataVault smart connectors from erwin by Quest Data Vault 2.0 Automation solution. He specializes in the automation of Data Vault architecture and data integration with eight years of experience in technology and a focus on data governance. His background was heavily influenced by the Microsoft data warehousing stack. He is a certified DV2 practitioner and is responsible for the design and development of erwin’s Automation Framework for Data Vault modeling, DDL, mapping standardization and ETL/ELT code generation. He has experience with automating custom Data Vault solutions for most enterprise data integration tools, such as SSIS, Informatica, Talend, SQL Server, PL-SQL, Teradata and AWS Redshift.