One of the biggest problems facing Google today is determining how to use its massive amounts of data to create and improve its products. The company is in the midst of ethical dilemmas surrounding data manipulation, use of bots to frame public debate, and AI’s role in shaping online experiences. It is important to stay ahead of the curve and innovate with a customer-centric mindset and an eye on consumer trends. This article will focus on two major aspects of Google’s data-driven innovation process: analysis and decision-making.
For many years, the company acted like innovation is a linear, sequential process. Google is different. Instead of treating innovation as a sequential process, the company works as a tightly coupled feedback loop where product teams and researchers work hand in hand to discover new products and research areas. Currently, 20% of Google’s projects are internal, but if you look closely, you will see that the company has applied a data-driven innovation approach in many aspects of the company.
The company’s culture of innovation is based on nine principles. Google employees from all parts of the company are encouraged to contribute new ideas. For example, a doctor on Google’s staff argued that the company had a moral obligation to support users who searched for information on suicide and self-harm. As a result, Google has made a large investment in this area of its business. Its innovative culture is helping it attract the best people and set the standard for twenty-first century growth and productivity.