The “Healthcare & Life Sciences (HCLS)” track at Modern Data Management Summit 2018 (#DataDriven18) invited industry leaders who shared their thoughts on themes such as data-driven strategies to excel commercial operations in life sciences, collaborative data management and curation across global regions, account-centric approaches, compliance initiatives, and omnichannel engagement with patients.
The Healthcare and Life Sciences track this year included twelve sessions and panels supported by 20+ speakers. Here are some of the key highlights and takeaways from the sessions:
Jamie Yates, Master Data Management Leader, AstraZeneca along with Mona Rakibe, Director Product Management, Reltio presented on AstraZeneca’s “Customer Master Journey: From Global To Local”. Jamie discussed the best practices employed in the AstraZeneca Global Customer Master deployment and provided insights into how modern data management capabilities such as collaborative data management and curation across geographies helped them break functional silos and cross-enterprise boundaries, thus leading to sales effectiveness, data steward productivity and overall data quality. Read more.
Peter Bell and team from Eli Lilly participated in a panel on “Improving Digital Customer Experiences at Eli Lilly”. They talked about how they leveraged modern data management technology to get rid of duplicate customer identities and create an enterprise-wide customer profile across commercial and clinical investigation departments. This helped them not only identify high-value customers but also improve customer experience across various digital touchpoints. Moreover, connected digital omni-channel systems allowed them continuously improve products, processes, information, and patient outcomes, resulting in increased sales. Watch the full panel discussion.
John Hayes and team from Sanofi along with Kanthan Manickam from ZS Associates discussed about how life sciences landscape has changed dramatically over the last decade, requiring companies to change the way they think about customers and develop new go-to-market strategies and commercial capabilities. They talked about how Customer 360 built on top of the Self-learning Data Platform supported them with account-centric approaches, digital marketing, compliance initiatives, and ingesting non-traditional data sources. Read more.
Vincent Ciro, Executive Director, Commercial Intelligence, Allergan and William Gurney from IQVIA talked about how modern data management helped them deliver global insights. Allergan was tasked with modernizing and standardizing their global business intelligence (BI) reporting platform. With disparate systems across 36 countries and 3 regions, in addition to mastering customer data, they had to manage transactional data, generate insight, offer data on-demand and support 24×7 business operations. Allergan utilized modern data management capabilities to achieve this ambitious goal and the solution went live in 16 weeks! Watch the full video presentation.
Vivian Wu and Bernie Tucker from AbbVie participated on a panel “Multi-domain Enterprise Data Management at AbbVie“. They discussed the evolving data strategy at AbbVie, various data management use cases, and lessons learned along the way. They talked about how they leveraged Self-learning Graph capabilities to uncover and manage relationships between HCOs and HCPs to support their compliance and account management initiatives. Watch the full panel discussion.
Nirav Mehta, Senior Director, Enterprise Architecture – Medical Devices IT, Johnson & Johnson and Ram Chakravarti, Associate Partner, McKinsey & Company shared their perspectives on a large-scale data-centric digital transformation. They emphasized the strategic importance of getting the data house in order as poor data can derail any business strategy and digital transformation initiative.
Maria Perkins and team from Optum had a panel discussion on “Data Strategies to Optimize Health Services” where they discussed how healthcare providers are leveraging modern data management to meet changing customer expectations while improving the internal business processes. Read more.
Beata Puncevic, SVP Engineering and Chris Williams, Data Engineering Leader, Healthgrades shared their Consumer 360 journey and how they built a data platform to meet their business needs, evolve rapidly to offer diverse set of products, and operate at large scale. Using modern data management capabilities, they were able to integrate consumer data from disparate data sources and link unknown with known to uncover consumer journey. They created single view of patients and their households, providers, and hospitals to create new offerings such as Consumer Data As a Service, Provider Data As a Service, and Facility Data As a Service. Watch the full video presentation.
Dr. Uli Chettipally, Co-founder & CTO of CREST Network, Kaiser Permanente, Anshul Agarwal, Principal, ZS Associates, and David Rosner, Principal, Deloitte participated on a panel “Will the Rise of the Patient Follow the Rise of the Consumer?”. Patients today expect the same experience as they get from a retailer or a bank and want to be more involved in their care. They expect all relevant parties like providers, payers and pharma to collaborate and recommend the best treatment options. Changing business models, customer expectations and newer regulations necessitate the adoption of Self-learning Data Platform to meet ever-increasing patient expectations serve them better. Watch the full panel discussion.
John Wollman, Chief Innovation Officer, HighPoint Solutions presented on “Applying Advanced Analytics to Detect Medicaid Overpayment”. Pharmaceutical manufacturers often overpay state Medicaid agencies for purchases in the form of duplicate discounts. This session examined the pervasive problem of duplicate discounts and identified how AI/ML and MDM can work seamlessly to enable new and advanced types of analyses such as duplicate discount detection.
The Modern Data Management Summit, 2018 provided an opportunity for healthcare and life sciences (HCLS) companies to discuss the latest trends in data organization, AI/ML, and self-learning and how these trends impact evolving business needs. It also helped them witness how companies in other industries (such as CPG, Retail, Media & Entertainment etc) are leveraging modern data management to stay ahead of the game.
Look forward to seeing you at DataDriven19!