We all know real-time data has a value. But how do you quantify that value in order to create a business case for becoming more data, or event, driven? The first half of this talk will explore the value of data across a variety of organizations, starting with the five most valuable companies in the world: Apple, Alphabet (Google), Microsoft, Amazon, and Facebook. We will go on to discuss other digital natives; Uber, Ebay, Netflix and LinkedIn before exploring more traditional companies across Retail, Finance and Automotive. Whether organizations are using data to create new business products and services, improving user experiences, increasing productivity, managing risk or influencing global power, we’ll see that fast and interconnected data, or ‘event streaming’ is increasingly important. After showing data value can be quantified, the second half of this talk will explain the five steps to creating a business case around Kafka use cases.
Most businesses focus on:
1. Making more money, or conferring competitive advantage to make more money
2. Increasing efficiency to save money, and / or
3. Mitigating risk to the business, to protect money.
We’ll walk through examples of real business cases, discuss how business cases have evolved over the years and show the power of a sound business case. If you’re interested in Big Money and Big Business, as well as Big Data, this talk is for you.