Building the Business on Data Literacy, Quality, and Trust
Webinar Speaker: James Kobielus, Senior Research Director, Data Management
Date: Wednesday, June 15, 2022
Time: 12:00 p.m. PT, 3:00 p.m. ET
Many enterprises have established strong governance around the high-quality data assets that power business analytics.
Under the modern governance journey, organizations must revisit their data management procedures regularly in order to ensure that they are extracting maximum value from this precious asset. At the same time, mature governance practices can help organizations to protect privacy, reduce biases, safeguard the confidentiality of business-critical information, and enforce stringent data controls in response to new mandates.
Forward-looking organizations are taking the next step and incorporating governance into data literacy programs that sensitize users to the need to safeguard sensitive data assets at every stage in their life cycles. At the heart of these initiatives is a central data catalog that provides visibility into available assets, provides guidance in their use, and implements policies that enforce correct, compliant, and appropriate contextual usage of these assets.
Join TDWI’s senior research director James Kobielus on this webinar to explore how enterprises can establish a culture of data literacy, quality, and trust. Key points in his discussion will include:
- Aligning data governance with key business priorities, outcomes, metrics, and incentives
- Instituting a data literacy training curriculum with a strong self-service governance focus
- Implementing a data catalog as a central coordinating platform for data literacy and governance
- Defining a framework for data ethics, accountability, and transparency that is clear, viable, and defensible
- Encouraging data sharing, collaboration, and reuse of analytics knowledge throughout the business
- Automated approaches that help monitor data more frequently for accuracy and value creation
Director of Solution Strategists/DI Thought Leader
Sue is the director of solution strategists/DI thought leader for the Erwin Data Intelligence product line. A thought leader in the application of technology and business process to solve real business problems, Sue has over 20 years’ experience working with metadata on the buy side as a customer and the sell side as a vendor, including implementation, showcasing, and program support. She has worked to structure and drive enterprise data management programs. Additionally, Sue has extensive support experience to sustain these initiatives within an organization. She has supported a wide range of clients, including financial, insurance, healthcare, manufacturing, and e-commerce with a general need to provide data-driven business practices. Sue is responsible for launching and guiding Quest’s Data Intelligence solution's superior modeling/data intelligence technology in fresh, modern offerings that deliver excellent value for today's challenging business demands.
Sue is a frequent speaker at industry events regarding enterprise metadata management, data lineage, data governance, and engaging training for end users and partners.