Data and information life cycle management challenges in an organization can be daunting – whether these relate to data security, integrity, or availability. Almost all organizations understand this and are willing to make investments to en sure the data is accurate, available, and protected.
\nIn a world of big data, current techniques around process models woefully fall short, as they do not adequately provide visibility around data. For executives and b usiness leaders to make cost-effective investment decisions, techniques are required that provide more visibility into data and enable decision making . A data lineage can fill this gap, but there are no industry standards on how to go about this. Organizations that use data lineage mainly do it to a ppease regulators – but have not explored the full potential. This pr esentation discusses the data lineage standards and patterns that will allo w for better visibility to make more effective decisions into data manageme nt.
\nThe session will cover:
\n\n Objectives and benefits of data lineage\n Challenges and lack of standards with data lineage\n Standards and best practices on data lineage – from how to get starte d to visual aids to communicate to stakeholders\n Patterns that enable insights and decision making around cost-savings and c ontrol-optimization\n\n DTSTART:20200324T134500 SUMMARY:Gleaning Powerful Insights Around Cost and Control Optimization fro m Data Lineage DTEND:20200324T144459 LOCATION: See Description END:VEVENT END:VCALENDAR