Listen to the recent LinkedIn Live session, where SAP data strategy experts will discuss the short and long-term impacts and implications that the current pandemic will have on your enterprise’s data and analytics strategy.
https://www.linkedin.com/feed/update/urn:li:activity:6661625161869070336
Top of Mind Concerns for the CDO:
Short & Long-Term Implications of COVID-19 on Enterprise Data Management
Held Thursday, April 30th at 10 a.m. EST
Available from SAP Technology page on LinkedIn at http://bit.ly/2THFMNb
During the session, Justin Litz, Vice President of Analytics and Data Innovation at SAP, Tina Rosario, Head of Data Innovation and Chief Data Officer, Europe at SAP, and Maria Villar, Head of Enterprise Data Strategy and Transformation at SAP, discussed where they see the short and long-terms impacts COVID-19 on data management organization and strategy. The topics that were discussed included:
Speed to Value
As a Chief Data Officer (CDO), monitoring change and quickly adapting data strategies and tactics is vitally important. Working with the respective business leaders to understand changes in business priorities and the ability to provide new data and data management approaches while remaining vigilant to ensure high-quality data is readily available and security and privacy maintained should be a key theme.
Adaptive Insights and Predictive Analytics
As business priorities change and the need to rapidly take business decisions evolve, so does the importance of predictive analytics. Actively engaging with their Data Science community, the CDO can support them by understanding data and data management requirements that help will develop or evolve existing models. Additionally, identifying and providing new data coupled with existing data helps to unlock new and adaptive insights.
Driving Operational Efficiencies via Data Literacy
In today’s fast changing world, it is critical that a business understand, interpret and use the data assets available to them. Another part of the CDO’s mission must include establishing or evolving data literacy programs within the organization. Helping business teams harness their data assets and the responsiveness to adjust the collection and communication of these valuable resources are extremely relevant to support the improved efficiencies needed within the organization in times of change.
Data Quality and Readiness
As companies have had to react with lighting speed to their response to the pandemic, CDOs should be immediately, assessing and addressing the data completeness and data quality of their employee, supplier and customer data needed in order to serve the business processes and the analytics that are necessary to respond. CDOs should also be working with the company’s response team to determine new data that may be needed and acquiring this data quickly and reliably from trusted sources. In addition, CDOs should re-evaluate the ‘data that matters’ most to a company, given these new demands, assess the data management capability gaps that data has today and use it to shape the data strategy of the future.
Data Ethics and Data Privacy
Government responses to COVID-19, such as citizen tracking, face recognition, health profiles and hot spot apps, has certainly pushed the edge of citizen privacy versus the public good debate. What can CDOs learn from these responses to guide their company’s data ethics policies? For example, what is the line between public good and privacy, who and how to make those decisions, what are the (unintended) future consequences of having this capability available, that data quality required to guard against false positives, transparency of algorithms, etc.
Experience Data, People & Communication
Staying connected can be challenging as we virtualize our organization. Understanding better the challenges our employees, customers and vendors face is critical and can have a significant impact on your company. As a CDO, focusing on acquisition of experience data can contribute in helping your people and organization through these challenging times by better understanding their current needs and support by provided the required data that business teams can use to developing effective programs and communication to support them.
Again, the recording to the #LinkedInLive session is listed below.
https://www.linkedin.com/feed/update/urn:li:activity:6661625161869070336
5 Top of Mind Concerns for the CDO
Short & Long-Term Implications of COVID-19 on Enterprise Data Management
In addition, if you would like to learn more about outcome-driven enterprise data strategy, head over to www.sap.com/datastrategy to check out the various tools and resources available to you.
#LinkedInLive #SAPTechnology #SAPEIM #EIM #DataStrategy #CDO #GiveDataPurpose
SAP Expert Bios
Justin Litz, Vice President, Analytics and Data Innovation at SAP
Justin has over 17 years of experience helping businesses grow their Data Management and Analytics competency. Most recently, Justin was the SAP Global Head of Data Management & Process, Business Partner Center of Excellence.
His works includes managing large scale data management and data quality programs including S/4 implementations. He is the SAP business data leader that evolved the Business Partner Data Management practice including the deployment of MDG. Justin was a contributing member in defining and establishing Cloud MDM.
His work includes building the first data warehouse and product data management implementation at a Large Industrial Distributor.
Tina Rosario, Head of Data Innovation and Chief Data Officer at SAP
Tina Rosario is head of Data Innovation and chief data officer at SAP. In this role, she is responsible for helping businesses in the EMEA region drive data innovation, typically as an important component of an enterprise-wide transformation initiative. Tina works directly with senior business executives to design a data management approach, future-state information capabilities, and execution of their data strategy. She has more than 25 years of experience in business process reengineering, defining business impact, and leading transformation programs. She also serves as president of the European chapter of the Women in Big Data network, whose mission is to promote diversity in the field of data management. She lives with her family in Paris, France.
Maria Villar, Head of Enterprise Data Strategy and Transformation at SAP
As head of Enterprise Data Strategy & Transformation at SAP, Maria Villar advises SAP customers on the crucial role of data management in their digital transformation, leveraging over 20 years of practical, operational experience as the chief data officer of three companies, including SAP from 2009-2017. In 2017, Maria was honored with the “Transformation of Collaboration from Inwards to Outwards” Award from the Massachusetts Institute of Technology. This award from MIT recognizes outstanding CDO leadership in driving business outcomes and business collaboration. In addition to her SAP experience, she has authored a book, “Managing Your Business Data from Chaos to Confidence.” She has also published two online classes and numerous articles, most recently “Time to Level Up: The Evolving Role of the Chief Data Officer.” As a trusted advisor to SAP’s most senior customers, the customer engagement approach is typically at the CXX level: i.e., CDO, CIO, COO, and CFO.
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