CONCLUSION Get Data Science down to a Fine Art
Data science holds enormous potential for the financial services industry, some already tapped to great effect by the most progressive organizations. Its models, algorithms, and tools have the power to transform huge quantities of everyday data into meaningful business insight that drives competitive advantage. A science it may be, driven by automated technology, but this broad, complex discipline is also something of an art. And like all great art forms, it relies—ironically—on human intervention and real-world relevance to give it meaning. The CRO of a financial institution is ideally placed to play an intermediary role between the science and the art of big data analytics; the intricate models and the strategic thinking; the theoretical concepts and the business context; the technical minutiae and the bigger picture. But it’s a position of responsibility that inevitability comes with challenges. As our guide aims to show, however, the risks of running a data science project are usually well worth taking. And a clear action plan, a partnership approach, and an unwavering focus on strategic objectives will stand you in good stead to surmount the obstacles.
With an eye for detail but a head for business, are you ready to master the art of data science?
© 2019 PROVENIR ALL RIGHTS RESERVED
Made with FlippingBook Digital Publishing Software