Starting with the end in mind: Lessons learned from data strategies that work

Description

Every single public company is under pressure from the board, CEO, and senior leadership to become more data driven and agile. This inevitably leads to “answers” such as the cloud, analytics, machine learning/AI, and the corresponding adoption of tools in those spaces. Some of these initiatives are more successful than others, where success is measured by business impact within a certain reasonable time horizon.

The greatest success is achieved in organizations that not only start with end in mind but remain true to it every step along the journey. For example, companies that want to fundamentally change how drug discovery is being approached need to start with a blueprint for a new R&D strategy before procuring tools. Similarly, companies that want to embrace advanced ML/AI need to ensure that the right datasets are available for use.

Equally important is the organization structure, skillset, and reporting structure that can aid or hinder innovation. Cloudera has the benefit of working with customers from a variety of industry verticals spanning healthcare, banking and financial services, governments, retail, manufacturing, and autonomous driving companies, to name just a few.

Vidya Raman explains how some very successful organizations have adapted their culture, process, and infrastructure to herald a new age of data-driven innovations.