Speed to Value: How To Justify Your Big Data Investments - Seguridad Mania.com - España y América Latina

Every investment in big data, whether people or technology, should be measured by how quickly it generates value for the business. While big data uses cases may vary, the need to prioritize investments, control costs and measure impact is universal. Like most CTOs, CIOs, VPs or Directors overseeing big data projects, you’re likely somewhere in between putting out fires and demonstrating how your big data projects are driving growth. If your focus, for example, is improving your users’ experience you need to be able to demonstrate a clear ROI in the form of higher customer retention or lifetime value. However, in addition to driving growth, you’re also responsible for managing costs. Here’s the rub-- if you’re successful in driving growth, your big data costs will only go up. That’s the consequence of successful big data use cases. How then, when you have success, do you limit and manage rising cloud costs? In this webinar, you’ll learn: - How to measure business value from big data use cases - Typical bottlenecks that delay time to value and ways to address them ​- Strategies for managing rising cloud and people costs - How best-in-class companies are generating value from big data use cases while also managing their costs