‘Fail fast to succeed sooner’ is the key to disruptive ideas. Why? Because the ability to imagine, experiment and learn, is critical to driving innovation. To do so requires a high-velocity environment. But all too often, data scientists are not equipped to move fast enough, either because they are saddled with aging technology, or because there are outdated or insufficient tools and data available to them.
This hampers their ability to answer questions from the business in time or even reach the right people with insights. Data science can have a transformative impact on businesses. But to achieve that impact, organizations must harness the power of new (and old) technologies to provide data scientists with an ever-evolving, fit-for-purpose data science workbench. Or, as we’ll be referring to it, a “data science playground.”