About BrighthiveResponsible data sharing for all ~ As a public benefit corporation, our mission isn’t just marketing material, it’s core to our business and baked into our product DNA.BrighthiveBHV_6c1f18c0-07aa-11ed-9402-884f1583ea00Matt GeeChief Executive Officer ~ Matt Gee is an entrepreneur, data scientist, and applied researcher, with three prior startups and hundreds of collaborative data projects under his belt. After seeing the same challenges to data sharing and collaboration get in the way of impact over and over, he knew he needed to figure out how to make data sharing and collaboration across multiple data teams easier. Through piloting new forms of responsible data sharing and reuse (e.g. data collaboratives, data trusts, self-sovereign data) and helping stand up innovative networks of individuals and organizations managing their combined data, a product thesis emerged and became Brighthive's data collaboration platform. Matt's brings experience from previous successful ventures in energy and climate analytics and low-code data & analytics management to Brighthive. He was also the co-founder of Data Science for Social Good, and has held senior research fellow positions at the University of Chicago's Center for Data Science and Public Policy and the Knowledge Lab. In his spare time he and his brother busk on the streets of Chicago as a band called Governing Bodies.Suzanne El-MoursiChief Operating Officer ~ An accomplished entrepreneur and business leader, Suzanne has 22 years experience in startup operations, digital transformations, brand strategy, growth marketing, and multi-round startup fundraising .After 13 years leading innovation and growth strategies for brands including IBM, HSBC, GE Healthcare, and SapientNitro, her passion for entrepreneurship led to a career shift to building startup businesses. She has focused on brand equity and people diversity. In the past decade, she has been part of four startups with two startup exits.OrganizationsWe started Brighthive because we saw too many organizations wanting to share data and collaborate, but failing to make it happen.Community CollegesWe saw community colleges unable to share data to help their students succeed.ManufacturersWe saw mid-sized manufacturers unable to share data with their suppliers to save costs.Government AgenciesWe saw government agencies unable to share data to streamline service delivery.Jobs for the Future (JFF)Jobs for the Future (JFF) uses Brighthive’s data collaboration platform and services to help workforce development boards measure and evaluate training program outcomes.Colorado Department of Higher EducationThe Colorado Department of Higher Education helps Coloradans make better informed education and career planning decisions with our platform.Education Design LabEducation Design Lab uses Brighthive to power its Community College Growth Engine Fund to accelerate the creation of non-degree pathways to employment by community colleges across the US.Responsible data sharing for all_6c1f1a96-07aa-11ed-9402-884f1583ea00To connect the world’s data responsibly and purposefully, driving informed action through collaboration._6c1f1b86-07aa-11ed-9402-884f1583ea00DataSharingCollaborationResponsibilityPurposeData Sharing & CollaborationEnable cross-enterprise data sharing and collaboration_6c1f1cd0-07aa-11ed-9402-884f1583ea00We saw hundreds of ... data sharing failures and the costs they had for everyone involved. We wanted to fix that. So, we’ve built a cloud-based platform that makes cross-enterprise data sharing and collaboration possible using our years experience in developing successful collaborations and through iterative product design.ProductsEmpower teams and partners to create new data products faster_6c1f1db6-07aa-11ed-9402-884f1583ea001Empower your data teams and your data partners to create new data products faster ~ Distributed data teams accelerate their time to insight by collaborating on the Brighthive platform. Manage complex data relationships and shared workflows across your data ecosystem with confidence.DiscoveryEnable data discovery across networked data catalogs_6c1f1e9c-07aa-11ed-9402-884f1583ea002Data discovery across networked data catalogs ~ See everyone’s data in a shared workspace. Search across pooled metadata to easily find the right data, no matter where it’s stored. * Browse or search for data across multiple organizations, teams, and data catalogs * Find similar datasets and align on schema across partners and teams * Tag PII, add rich data context, and moreManagementManage shared data projects_6c1f1fa0-07aa-11ed-9402-884f1583ea003Shared data project management ~ Brighthive’s data project management features make building data products with shared data easier: * Create collaborative data projects using templates or from scratch * Share and communicate with collaborators in context * Build and monitor the workflow from end-to-end * Track issues and use along the entire data product lifecycleSecuritySecure data assets for use with governed policies, rules, and permissions_6c1f20ae-07aa-11ed-9402-884f1583ea004Shared governance with automatically monitored policies ~ Secure your data assets for other’s use with governed policies, rules, and permissions. Use our policy engine to apply and monitor workspace policies. Choose who in your network has access to what data and what they can do with it. * Templates to easily assign predefined governance settings * Automate monitoring of data policies critical to sharing, including privacy, quality, usage, transparency, and bias * Advanced multi-org access management and role-based controls * Advanced support for multiple modern governance types, including data trust, data exchanges, and data collaborativesIntegrationIntegrate metadata and data sources across organizations_6c1f21a8-07aa-11ed-9402-884f1583ea005Seamless integration into the modern data stack ~ Hundreds of supported connections with metadata and data sources across organizations, supporting seamless integration with your data stack. Brighthive follows data mesh architecture principles to enable organization-level ownership and control while allowing cross-organization collaboration and governance. * Easy integration into the modern data stack with 200+ connectors * Support for open lineage, open metadata, great expectations, and more. If it’s open source, we support it and integrate with it. * Advanced workspace types support privacy-preserving sharing, regardless of your stack2022-07-19https://brighthive.io/about/OwenAmburOwen.Ambur@verizon.net