Too often, investment s in data are centered on staffing or technologies without clear evidence o f business impact, leaving executives skeptical of data initiatives in the post-big data era.
\nLike any corporate investment, data must m eet a hurdle rate exceeding an organization's cost of capital. By prese nting an internal rate of return for a project in excess of the hurdle rate , one can justify investments in data above corporate mergers and acqu isitions.
\nIn this lecture we will talk through a case study of how your business can drive profitability back into your business by eliminatin g wasted efforts on reporting due to poor data quality by institutionalizin g a strong data governance framework to systematize data projects, leveragi ng metadata management to drive business engagement.
\nThe attendees of this particular session will leave with a basic understanding of how to demonstrate return on investment with data-related projects that drive both private equity investment and publicly traded stock valuations, how t o build a process and portfolio of projects that facilitates further invest ments in data, and how to engage the business to drive adoption and long-te rm success of any data initiative.
\n DTSTART:20200324T113000 SUMMARY:Why Your Data Strategy Needs a Hurdle Rate DTEND:20200324T122959 LOCATION: See Description END:VEVENT END:VCALENDAR