Sr. Director of Research for Business Intelligence, TDWI
Logical Data Fabric: Achieving Balance Between Self-Service Agility and Governance
Data-savvy users across organizations need the freedom to visualize, analyze, and share data coming from multiple sources, including structured, unstructured, and semistructured data. Businesses are competing on the ability of data-informed decision makers to assess situations quickly and take actions to improve outcomes amid today’s uncertainties. Legacy data integration and data warehousing systems limit users to selected (often old) data. In pursuit of agility, frustrated self-service users go outside the confines of data warehouses; they set up shadow data silos, add third-party data, and tap poorly governed data lakes. These actions typically lead to data quality, governance, security, and regulatory problems.
A logical data fabric is an important new concept for giving users unified views of disparate data and for organizations to govern and secure data across physical boundaries, including data stored on premises and in multiple cloud providers’ platforms. Data virtualization is critical to logical data fabrics because it offers an alternative to slow, costly, and difficult processes for replicating and moving data to a physical repository such as a data warehouse. Organizations can use a logical data fabric and data virtualization layer to balance users’ self-service data agility and needs for faster data insights with essential governance and security.
This talk will define the logical data fabric and discuss TDWI research perspectives on key drivers behind this trend. It will offer recommendations focused on how and why a logical data fabric could benefit your organization in achieving the right balance.
Senior Vice President and Chief Marketing Officer, Denodo
Data Virtualization: How to Logically Enable Self-Service, Security, Governance, and Regulatory Compliance
Data virtualization is the enterprise data layer that connects to disparate data sources, combines the data into a unified view of information that is interrelated, and allows business users to consume the data in a self-service manner, all the while centralizing security and governance, thus enabling timely compliance with regulations.
In this presentation, the author will reveal the six critical capabilities within data virtualization that enable self-service, security, and governance. Specifically, he will answer the following questions:
- What are the six critical capabilities of data virtualization?
- How do these capabilities reduce time-to-insights and dependence on IT?
- How can IT democratize data access for business users without compromising security and governance?
Speaker Bio: Ravi Shankar is the senior vice president and chief marketing officer at Denodo. He is responsible for Denodo’s global marketing efforts, including product marketing, demand generation, field marketing, communications, social marketing, customer advocacy, partner marketing, branding, and solutions marketing.
Ravi brings to his role more than 25 years of proven marketing leadership and product management, business development, and software development expertise within both large and emerging enterprise software leaders such as Oracle, Informatica, and Siperian. His deep expertise in data-related technologies facilitates increased global awareness of the Denodo Platform and accelerates its growth.
Ravi holds an MBA from the Haas School of Business at the University of California, Berkeley, and a master’s degree in computer science. He is a published author and a frequent speaker on data management and governance. Prior to joining Denodo, Ravi was the vice president of product marketing at Informatica and was instrumental in positioning the company as a leader in the master data management (MDM) market. He helped accelerate MDM revenue and customer acquisition and helped propel Informatica into a $1B company.
Technical Product Owner – Self-Service Analytics, Fifth Third Bank
Fireside Chat: How Fifth Third Bank Achieved Regulatory Excellence Through Self-Service Analytics
Fifth Third Bank enabled self-service analytics by streamlining data flows thus providing transparency of impact to product teams, facilitating lean processes, and increasing speed-to-market of new capabilities within the changing digital environment. They accomplished this feat by using data virtualization to consume data at the source and eliminate unnecessary movement-to-consumption.
Using the same data virtualization, Fifth Third Bank met heightened OCC, CFPB, and other regulatory expectations about data management, including certification, governance, and privacy of the most critical risk and finance data sets.
This fireside chat will focus on how Fifth Third Bank:
- Leveraged out-of-the-box reporting and analytics capabilities
- Strategically aligns tool selection and proactively addresses cultural and technology concerns to enable self-service
- Applied EDO's data management framework and capabilities to new and existing data products
- Leverages a risk-based approach, understands standard of care, and surgically applies enterprise certification with heightened controls where necessary
Speaker Bio: Speaker bio coming soon.