Jun 9 Demo Day – Data Governance Tools

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DATE: June 9, 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: Data Governance Management System™ – ‘COMPASS’

Data Governance is complex. CDO / Senior Data Leaders are accountable for managing and resolving enterprise Data Governance complexities.

Sandhill has been working on Data Standardization and Data Management for the past decade. We have recognized that organizations are still struggling to rapidly deploy, operate and analyze their strategic Data Governance programs for improving enterprise performance and addressing the multiplicity of Data Management objectives.

Based on our experience of Data Management, and Data Governance, Sandhill has developed a unique cloud based, automated Data Governance Management System (COMPASS) that is scalable, adaptive, rapidly deployable, comprehensive and measurable to address these strategic Data Governance needs.

During our presentation, we will illustrate how this approach can help organizations rapidly achieve effective data management capabilities and maturity.

Robert Lutton

Vice President, Sandhill Consultants

Robert Lutton leads Sandhill Consultants and is responsible for creating an organization that delivers technology, service, products and training in the areas of Enterprise Data Governance, Business Glossary, Data Catalog, Data Architecture and Data Modeling.

Sandhills vision is to develop, market and deliver innovative solutions of exceptional value in the areas of Enterprise Modeling and Data Modeling, Data Governance and Data Catalog Space.

Sandhill Consultants is a certified CMMI / DMM Partner and is focus is enhancing data as an asset via practices and technology to maximize investment in data management. Sandhill delivers solutions that enable organizations to enhance the value of their data by including best practices supported by robust data management technology.

Robert continues to guide Sandhill Consultants growth and will continue to lead the organization to expand its reach in key aspects of the Enterprise Data Management business.

Jeff Giles

Principal Architect, Sandhill Consultants

Jeffrey Giles is Principal Architect at Sandhill Consultants. He has over 15 years experience in Information Technology and is recognized as Data Management Professional. Jeffrey has been a guest lecturer on Enterprise Architecture at the Boston University School of Management. Information management experience includes customizing Enterprise Architecture frameworks, creating model driven solution architecture for business intelligence projects. Modeling experience includes modeling and analysis of business process workflow, modeling data at the conceptual, logical, and physical levels, and UML application modeling. Possesses knowledge of both transactional and data warehousing systems. Understands the alignment of business, data, applications and technology. Has been involved in designing data governance standards, data glossaries and taxonomies.

Session 2: Get in and Drive!  – Buying Best Practices to Accelerate Supplier MDM

Laying the groundwork for good supplier data governance started with figuring out what granular aspects of supplier MDM were different from other domains like customer and item master data. First, the data governance team and stakeholders throughout the company established the Supplier MDM goals specific to their company. Then, they decided to invest in a built-for-purpose solution to accelerate ROI. Now, the company is implementing a supplier management platform that comes with best practices and out-of-the box templates. Join this webinar to hear Karen discuss:

  • Registering suppliers with an automated process that uses customized business rules and automated approval workflows
  • Avoiding supplier fraud and risk by closing control gaps in supplier setup and management
  • Enforcing standard payment terms
  • Pushing more suppliers toward electronic payments
  • Improving strategic sourcing efforts
  • Saving FTE time and money

Karen Coronado

Manager, Data Governance, Lennox International

Karen Coronado oversees Data Governance strategy and execution for Lennox International, a global leader in heating, air conditioning, and refrigeration.  Karen leads the master data management (MDM) enterprise functional team, identifying, managing and educating on data as an asset.  The roadmap includes customer, supplier, material, finance and employee master data.  She is experienced in business MDM implementation, relationship management, business process improvement, and change, program and project management.

She is currently a leader for the supplier master data initiative, implementing apexportal from apexanalytix.

Karen earned an MBA in Data Warehousing and a Bachelor of Business in Accounting from Tarleton State University.

Akhilesh Agarwal

Senior Vice President Global Business Partner Technology Solutions, apexanalytix

Akhilesh Agarwal leads the apexanalytix solutions practice responsible for global technology solutions, including apexportal.  apexportal is the 100 percent touchless solution for global supplier information management and working capital optimization. He leads the development of new client-focused software innovations, guided by the regular trend analyses he conducts to ensure that APEX Portal delivers real-world efficiency and productivity benefits. He also oversees pre-sales, product management, project planning and reviews, risk mitigation, and the delivery of seamless solutions to large global clients across country borders. Akhilesh has an extensive background in product design and execution in accounts payable, accounts receivable and related areas.

Session 3: How to Implement Agile Data Governance with a Cloud-Native Data Catalog

Most high-functioning enterprises today are buoyed by data teams that embrace a culture of openness, collaboration, and reuse. Where data governance is centered on driving business value rather than setting up roadblocks.

This practice of agile data governance enables enterprises to create and improve their data assets by iteratively capturing knowledge as data producers and data consumers work together. This approach casts aside the data silos that form when governance is imposed and enforced by councils and committees that are not closely tied to a business outcome or use case. 

In this session, we’ll show you how to improve agile data governance practices via the data.world data catalog. We’ll cover how to:

  • Make it easy for everyone to contribute to metadata while maintaining data quality
  • Drive catalog adoption and prevent it from becoming a “metadata museum”
  • Reproduce and reuse data and data work for maximum business benefit
  • Understand how data producers and consumers are using the catalog to advance your data landscape

Thaise Skogstad

Director of Product Marketing, data.world

Thaise is the Director of Product Marketing at data.world, the cloud-native enterprise data catalog. She is an enthusiastic marketer with a proven track record of developing and executing go-to-market strategies to drive growth and long-term market share for diverse portfolios in the USA and Latin America. Before joining data.world, Thaise led the Product Marketing team at Anaconda and spent over fifteen years bringing the Product Marketing discipline to Federal Signal, 3M, Phunware, and ClearDATA, targeting diverse industries, including financial services and transportation media and entertainment, airports, retail, and healthcare.

Mo Dodge

Sales Engineer, data.world

Mo Dodge is a Sales Engineer at data.world with several years of experience in data management and analytics including data catalog and governance software. After witnessing many failed software implementations, Mo 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, Mo is an avid tennis fan and aviation junkie, with the hopes of traveling around the world as a recreational competitive player someday.

Session 4: The Long Game: How Data Governance Can Secure Lasting Business Adoption

Traditional data governance initiatives fail by focusing too heavily on policies, compliance, and enforcement, which quickly lose business buy-in and support. This leaves governance leaders and data stewards having to continually defend and evangelize the need for data governance to gain a seat at the table. 

In this session, Infogix will share simple strategies and tangible examples of how successful programs achieve long-term business adoption by promoting data literacy, improving data trust, and connecting to deeper business goals and objectives. 

 Participants will learn: 

  • How to use automation to quickly catalog an inventory of data assets in a business language
  • How a governance framework is linked to metrics, analytics, processes, and business objectives
  • How to produce data trust scores and data quality metrics for expected business outcomes
  • How to verify governance readiness and ownership for critical data elements

Cameron Ogden

Vice President of Product Growth, Infogix

Cameron Ogden is responsible for the growth, innovation, and go-to-market strategy for Infogix’s product portfolio. With over 20 years of experience, Cameron has a proven track record of building enterprise data products and communicating complex topics in ways that both business and technical teams understand. He is a requested speaker and author on product management, information strategy, data governance, and automation.

Sadat Ahmed

Solutions Consultant, Infogix

With Infogix for close to a decade, Sadat Ahmed works with customers in an array of industries. Using the Infogix Data360® platform, he develops advanced solutions to restructure and simplify complex data governance, advanced analytics, and data quality use cases. Sadat holds a Bachelor of Science degree from King’s College London. 

Session 5: Active Data Governance – A People-First Approach to Achieving Business Goals

The traditional approach to data governance is failing. It focuses too much on process and risk mitigation, and not enough on people and increasing business value. Alation takes a different, value-driven approach, with active data governance. This methodology allows for standing up a governance program quickly and iterating constantly to improve it over time.

In this session, we will:

  • Explain our people-first approach to active data governance
  • Explain our data governance methodology
  • Show our data governance specific product features and benefits

Aaron Bradshaw

Data Governance Specialist Sales Engineer, Alation

Aaron has 15 years of experience working with all things data; from Data Warehousing, Campaign automation, Model automation, through to Data Protection, Governance, Metadata, Lineage and Quality.

Having worked on 2 award winning projects (Data Driven Marketing Award by Marketing week and Best Digital Marketing award by Big Chip) as a data engineer he moved into Data Governance, working on delivering regulatory compliance such as CCAR, IFRS9, SOX, FRY14 and GDPR at major retail banks, delivering enterprise data management projects as a result. This was always delivered with a vision to utilise this information above and beyond ticking the regulatory box and gaining value from the insight this provides.

He now works at Alation, a leading Data Catalogue provider, helping customers obtain the most value from their data, whilst also meeting regulatory and ethical standards.

He is passionate about deriving and demonstrating the value that can be achieved by utilising data in a consistent manner, whilst also taking thought about the impact of its use.


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