Managing data protection: If you can't measure it, you can't manage it

An unspoken requirement has emerged calling for IT staff to conduct data management in a non-intrusive manner. Skipping risk mitigation to avoid interfering with employee productivity is a trade-off that will hurt an organization. Automating and orchestrating data protection activities is critical for resilient and sustainable operations. Companies must be in a good position to "dust themselves off" as quickly as possible after an outage like a corrupt database, data pattern change due to new normal, missing data or malfunctioning sensor, and become operational with minimal disruption of service. Tune into this talk, where Dr. Pragyansmita Nayak of Hitachi Vantara Federal will focus on five best practices to better manage your data protection strategy: - Automation of data characterization like summary statistics and metadata management. - Explore knowledge graphs to determine strengths and gaps in the business glossary. - Use of lineage to understand the changing nature of data from origin through transformations. - Track the data shift and its patterns that impact reports, dashboards, ML models and more. - Review metrics that minimize false alarms and timely trigger deeper analysis.