Generation Z is our largest generation ever. They are over 2 billion strong and are predicted to make up nearly 30% of the workforce by 2025. Fifty percent of them are likely to have a university degree that will carry them through 17 jobs, spanning five different careers in their lifetime. So how can we harness the energy of this huge pool of "think differently," "act differently" resources? With an internship program. Learn how the Splunk ANZ team focused on addressing the staffing challenges many tech companies face, particularly with regard to promoting diversity and including underrepresented groups, such as female students studying STEM subjects. This session will review how they built an internship program that not only delivered huge value to the business, including Gen Z diversity, but also focused on transferring technical and soft skills to facilitate their transition into full-time employment.

Speaker(s)
Neil Gow, SE Director, Splunk

Slides PDF link - https://conf.splunk.com/files/2019/slides/FND1364.pdf?podcast=1576909579

As one of the largest transportation providers in the world, Deutsche Bahn is eager to understand the customer experience of its passengers interacting with its agents. Driving greater sales requires highly efficient engagement with call center agents. However, efficiencies can be hard to understand and measure with so many call center interactions. DB Systel Gmbh, the IT services arm of Deutsche Bahn, uses Splunk Business Flow to quickly map thousands of customer experiences to understand opportunities for improving efficiencies. In this session, learn how Deutsche Bahn is able to operate a more efficient call center and drive greater passenger sales using the fast and flexible insights of Splunk Business Flow.

Speaker(s)
Ilario Angilletta, Consultant, Deutsche Bahn
Oliver Kempf, Founder & Product Owner Process Mining, Deutsche Bahn

Slides PDF link - https://conf.splunk.com/files/2019/slides/BA1191.pdf?podcast=1576909579

As organizations look to extend Splunk to new datasets for business process insights, it is crucial to have the right data to work with. However Splunk teams can get stuck demonstrating the value of new solutions without having data available. Some very intelligent approaches to data sampling, data preparation, and query optimization can dramatically accelerate your ability to create value from more data.  In this session, you will learn some of these techniques so you can quickly make a business case and demonstrate the value for Splunk Business Flow in your organization.

Speaker(s)
Martin Senebald, COCUS AG
Dirk Beerbohm, Senior Sales Engineer, Splunk

Slides PDF link - https://conf.splunk.com/files/2019/slides/BA1130.pdf?podcast=1576909579

At a major UK retail organization, we developed so many great dashboards over the years for every conceivable business area. This once sufficed, but it fuelled greater expectation in an ever harsher trading environment. Enter Peak Trade periods and the need for outcome-centered visibility across the order fulfillment process "just got real".Could Splunk Business Flow help us to uncover the actual flow, given the teams who built it are long disbanded? Could we talk "flow" when support teams align to "steps"?  What we found was data that cannot agree what an Order is. Processes which tackle different aspects of an order, sometimes in parallel or batch. Processes which fork and then merge later on. Processes which go into planned deep-freeze for days or weeks before reawakening. Data formats which are hostile. The list goes on.We take you through the thought process, share mistakes and learnings, and outline considerations/techniques to help you win in the arena of real-world data.

Speaker(s)
Paul Adams, Octamis

Slides PDF link - https://conf.splunk.com/files/2019/slides/BA1428.pdf?podcast=1576909579