Organizations often struggle with the conflicting goals of both delivering production reporting with high reliability and creating new value propositions from their data assets at the same time. Gartner has observed that organizations that focus only on mode one (predictable) deployment of analytics in the construction of reliable, stable, and high-performance capabilities will very often lag the marketplace in delivering competitive insights because the domain is moving too fast for traditional SDLC methodologies. Explorative analytics requires a very different model for identifying analytics opportunities, managing teams, and deploying into production. Rapid progress in the area of machine learning and artificial intelligence exacerbates the need for bimodal deployment of analytics. In this workshop we will describe best practices in both architecture and governance necessary to modernize an enterprise to enable participation in the digital economy.
You Will Learn
- Learn the difference between mode one (reliable) and mode two (innovative) analytics deployment.
- Learn how to co-exist mode one and mode two deployment styles within a single enterprise.
- Learn best practices in using agile DevOps to both create and deliver high-value analytics in compressed time frames.