THE ANALYTICS CULTURE

Phuoc D. Nguyen

For a company that has high working intensity, employees are familiar with the dynamic working style, and the ability of enterprises that successfully apply analytics will be more optimistic. Along with the attitude of business leaders are not afraid to change, ready to use the analytics standard procedures that will create a determination from leaders to workers, accelerating the process of bringing analytics applications into business operations.

Bartlett (2013) suggested “Organizations should seek a culture that: 1. Rewards analytics-based decision making—as in a meritocracy. 2. Integrate analytics into their strategy. 3. Embraces the pace of dynamic change during this analytics phase of the Information Age. 4. Accepts that understanding data analysis is part of understanding the business. 5. Fosters experimentation and continual learning about the business.” (p. 67). Analytics is always accompanied by an integrated standardization process, which means that it creates challenges – changing the employee’s behavior and attitude in the workplace towards the business objectives, all employees need to have a more specific view of the corporate goals. The analytics application not only changes corporate culture and supports the decision-making process but also measures management systems and business processes.

Croll and Yoskovitz (2013) propose how to instill a culture of data including starting small, picking one thing, and showing value; making sure goals are clearly understood; getting executive buy-in; making things simple to digest; ensuring transparency; don’t eliminate your gut; and ask good questions. They indicate “You can help push your company’s culture by making sure you balance people’s notion that instinct and gut are enough with small, data-driven experiments, proving the value of analytics while not completely eliminating the benefits of instinct.” (Loc. 7671). The analytics culture focused on customers, and the closer customer reach will help businesses make quick changes. Proper data connectivity with the right decisions can help integrate a common understanding of customer needs into corporate culture, promoting and consolidating customer satisfaction. Customer-centered culture will lead to regular refresher strategies with credible indications because it can predict new patterns in customer behavior and help adjust relevant interactions with them by integrating dynamic data.

McCarthy, Sammon, and Murphy (2017) proposed “When organizations use analytics to analyze their data and decision-making are informed by these data then that organization is effectively moving towards a data-driven culture.” (p. 315). Once-in-a-row data is consistent across business processes, each employee should be aware of this important information and turn it into a high sense of work. The information and data are integrated from the sales process, purchase, accounting, etc. from the connected computers in the system, giving leaders a thorough insight into all business operations to make effective decisions.