Revenue Opportunities for the Data-Driven Enterprise

The impact of leveraging data as an asset is a significant revenue opportunity for companies, with the data monetization market set to grow to $9.1 billion by 2030. From launching highly personalized customer interactions, to integrating data science into product development, to scaling and expanding into new markets – the growth opportunities of data must be accessed and understood by all stakeholders. This program will help organizations become truly data-driven by embedding their data into every decision, interaction and process – and making it available to the entire line of business.

This conference is for tech leaders who oversee business strategy and data analytics, and work with the following teams:

• Data (including VP/Director Level)
• Information Technology (including VP/Director Level of IT/Operations)
• Marketing (including VP/Dir of Marketing, Product Marketing, & Marketing Operations)
• Technology (including VP/Dir of Engineering)
• Product (including VP/Dir of Product Management)

You will learn:

• How to recognize and derive the value of your data amidst ongoing adoption of new technologies such as augmented analytics and AI – all while maintaining data governance and clear ownership;
• How to measure and report data for revenue opportunities and business impact including initiatives related to ESG;
• Best practices on leading a data-driven organization with an accessible, unbiased, and integrity-focused approach

8:30-9:00 AM Registration and Networking

9:00-9:20 AM Opening Remarks: Slalom Consulting

9:30-10:20 AM Session 1: Empowering Business Growth: Augmented Analytics, DataOps, and Best Practices for Revenue Enhancement

SPEAKERS:

• Moderator: Dev Gupta, VP, Global Solutions Engineering, Akamai
• Hema Seshadri, Ph.D., Senior Data Scientist & Adjunct Prof, Akamai & Northeastern Univ
• Nachiket Mehta, Head of Data and Analytics Engineering, Supply Chain, Wayfair
• Joel Stevenson, CEO, Yesware

The art of getting to know your customers and your markets has quickly become a science. Companies are relying more on augmented analytics that include AI and Machine Learning to easily access customer insights. In addition, the emergence of DataOps is seeing development teams working with data scientists and engineers to build platforms that support business decisions.

During this session you will learn how companies are enabling business users to access, prioritize, and convert data into revenue opportunities. Panelists will share examples of strategies and tools they’ve employed to help businesses diversify and expand their revenue base.

You will walk away with:

• Best practices to build data analytics into products and services with business users, data consumers, and data governance in mind
• Examples on how to deliver the right data in the right format to business stakeholders including automated workflows, user testing, and built-in collaboration and feedback
• Ways to standardize your organization’s data with development tools, repositories, and metadata that enable processes to be saved, shared, and reused across the business

10:20-10:40AM: BREAK

10:40-11:30AM Session 2: Unlocking Revenue: Strategies and Innovations in Data Conversion and Sustainability Analytics

SPEAKERS:

• Moderator: Greg Bonnette, Senior Director, Data and Analytics, Slalom
• Karen Hensley, Data Strategist, AWS
• Howard Homonoff, Senior Advisor, Media & Entertainment Industry, Grant Thornton
• Vincent De La Mar, Founder, CEO, Sustaira

There are several ways to convert data into revenue. The most common is monetization, which uses data insights to grow revenue and improve your business. Data commercialization is another way of creating data as a product through packaging, pricing, and selling your data such as protected customer information to other organizations.

During this session, panelists will share use cases of how they are converting their data through one or more of these methodologies. They’ll discuss the latest uses of shared data architecture as well as data measurement for specific business outcomes particularly in the area of sustainability.

You will hear:

• Use cases on strategies and ways to implementation data-to-revenue conversion programs
• How companies are using decentralized data architecture such as data mesh, to allow multiple business lines to share and benefit from each other’s data
• The latest trends in data analytics and measurement, particularly in the area of ESG data as companies look to track progress toward their sustainability goals

11:30AM-12:20PM Session 3: Balancing Authority and Inclusivity: Data Governance, Compliance, and Accessibility in Modern Organizations

SPEAKERS:

• Moderator: Sandy Estrada, VP, Analytics and Information Mgmt, Cervello
• Hema Seshadri, Ph.D., Senior Data Scientist & Adjunct Prof, Akamai & Northeastern Univ
• Matt Vandevere, VP, Strategic Services, Precisely
• Erik Jones, VP, Enterprise Data Analytics, Tempo Software
• Lynette Kenney, VP, Enterprise Data and Analytics, Ultimate Kronos Group (UKG)

Every company with a data strategy must have a system for defining who within the organization has authority and control over data assets and how the data can be used. Having a framework to collect, manage, and secure data goes hand-in-hand with ensuring proper use and accessibility across the business. At the same time, companies are seeking the best ways to ensure that their data practices, analytics and outputs that are inclusive and diverse.

In this session panelists will share examples of data governance challenges and the frameworks they are adopting to ensure compliance and proper use. In addition, they’ll discuss how they are moving towards making data practices more inclusive, free of bias, and accessible to diverse audiences.

You will learn:

• How to establish data governance over both proprietary and third-party data while meeting compliance requirements
• Strategies to protect data within both internal and external-facing environments such as making use of distributed data clean rooms
• How to ensure that bias is mitigated in all data practices within the product development process including AI models and underlying data

12:20-1:00 Closing Remarks, Networking, and Lunch to go

Ticketing & Refund Policy

– Refunds are only available up until 7 days before the event.

– Unsure if you are a Mass Tech Leadership Council member? Check the directory

– Global or Premier membership level, please reach out to kelley@masstlc.org for your special code.