TIPS AND TRICKS Five Steps to Mastering the Art of Data Science as a CRO
Every data science strategy needs a senior sponsor to pull it into focus and make sure it never loses its business perspective. Few on the board will understand analytics as well as the CRO, nor be able to draw as clear a line between complex data models and game-changing decisions. Now, with a deeper understanding of the techniques applied and the challenges involved, it’s time to take a step back from the finer details of data science and see your strategy from an executive viewpoint. Here are the five priorities to keep at the top of your mind as you turn detailed plans into action.
1
DEAL WI TH THE DATA
Any data analysis work must start with a well-defined workflow that makes sure you identify the problem, design the right solution and follow a clear path through data collection, cleansing, aggregation, and analysis. For access to the right data, the business needs robust data management systems and data integration tools that support connectivity with
external data sources and absorb them seamlessly into your workflow and models. For the CRO, it is important to remember that data quality is an enterprise issue. Data governance tools can help you maintain accuracy and consistency, and manage formatting issues, but data quality managers should also be in place across the business to stamp out dirty data. 26
2
SECURE BUS INESS BUY- IN
Here, the CRO needs to lead the strategy from the top. Take the time to ensure that the rest of the board has at least a basic grasp of the processes that allow you to extract insights from your data— and, most importantly, the value they can add to your business. It is also vital to establish a strong working partnership between your senior business leaders and the data science team. These highly skilled practitioners are experts at gathering and manip- ulating data, but they must also understand the business whose information they are modeling—
its objectives, market, customers, processes, products, roadmap, and risks. What role will they play both from day-to-day and in the company’s long-term goals? By answering these questions and making data science an integral part of the business, the board can help the discipline fulfill its commercial potential. At the same time, the domain expertise, business vision and critical thinking of senior executives will provide valuable direction, give projects the right focus and help data scientists design models that meet key strategic objectives.
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