The world of data—from practitioner skill sets to consumer assumptions and even employee expectations—is changing. Our current and potential consulting clients recognize this: the recruits they’re talking to are eager to employ data in their decision-making processes. To truly take advantage of this fact—to thrive—your business must adapt.
An experimental enterprise is, fundamentally, an organization that thrives on change and uses data as a catalyst. Becoming an experimental enterprise means reshaping the way you and your company understand things like failure, the role of technology, and your own gut instinct. But the benefits are fantastic learning and growth. Sanjay Mathur offers three key questions to ask yourself and three pitfalls to avoid along the way.
As the CEO and cofounder of Silicon Valley Data Science, Sanjay Mathur has brought together a team of world-class data scientists and engineers to help companies become more data driven. Previously, Sanjay was a partner in Accenture’s R&D organization, Accenture Technology Labs, where he led a global team that delivered market-ready business solutions built using emerging technologies to Accenture’s clients and built three different analytics and data practices, including the Information Insight R&D team focusing on machine learning and the semantic web, the Analytics and Insight group focused on predictive analytics, and the Data and Platforms R&D group focused on analytics, big data, and virtualization. He was also SVP of product for LiveOps, where he was responsible for LiveOps’s overall product strategy and roadmap and designed and deployed social, mobile, multichannel, and analytic applications into the LiveOps Cloud Platform.
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