In 2017, Total Credit Recovery Limited (TCR), an accounts receivables management and debt collection firm, hired a data scientist to analyze the firm’s current data analytics practices and create a plan to extend the use of its data. TCR collected more than 1 million points of data per day, and the company’s new data scientist knew that with a proper team in place, he could use this data to offer his firm a competitive advantage that was currently non-existent in the industry. TCR's leadership supported the data scientist with substantial resources and the team made notable contributions to the firm’s operations. However, one year later, as the firm was preparing to launch a new venture that relied on the contributions of the new data analytics team, the young leader was struggling to build a positive dynamic within his cross-functional team. How could he improve his team's dynamics and thus its ability to add value to TCR?

In 2017, Total Credit Recovery Limited (TCR), an accounts receivables management and debt collection firm, hired a data scientist to analyze the firm's current data analytics practices and create a plan to extend the use of its data. TCR collected more than 1 million points of data per day, and the company's new data scientist knew that with a proper team in place, he could use this data to offer his firm a competitive advantage that was currently non-existent in the industry. TCR's leadership supported the data scientist with substantial resources and the team made notable contributions to the firm's operations. However, one year later, as the firm was preparing to launch a new venture that relied on the contributions of the new data analytics team, the young leader was struggling to build a positive dynamic within his cross-functional team. How could he improve his team's dynamics and thus its ability to add value to TCR?