Digital intelligence is different from IQ and EQ in that it embodies organizational operational intelligence, requiring imagination as well as intelligence, and in doing so, it develops a clear strategic, organizational and talent strategy that can be argued for and articulated.
In a recent study, McKinsey said, "It's hard to realize that the digital revolution is still in its infancy. The world has changed dramatically since packet-switched networks, and microprocessors, were introduced more than 50 years ago. There is no doubt that more dramatic changes are coming as the pace of invention in basic R&D as well as practical engineering accelerates."
In 2014-2015, McKinsey conducted an in-depth diagnostic survey of 150 organizations worldwide. By assessing 18 practices related to digital strategy, capabilities, and culture, a single, simple measure of an organization's digital maturity was developed. Called the Digital Quotient or DQ, the survey reveals a wide range of digital performance across large organizations today (see chart below).
McKinsey's survey reflects four key recommendations that can be summarized from a business-to-business perspective by examining the digital performance of large enterprises:
First, established enterprises must seriously consider the strategies they can adopt. Rather than treating "digitization" as a supplement to their existing business, established companies must fully commit to building a clear strategy.
Secondly, success will depend on the ability to invest in relevant digital capabilities that fit with the strategy, and the scale of that investment.
Third, technical capabilities such as big data analytics, digital content management, and search engine optimization are critical, but a strong, adaptive corporate culture can help make up for the lack of technical capabilities.
Fourth, it is essential to align organizational structure, talent development, investment mechanisms, and key performance indicators (KPIs) with their chosen digital strategy.
Being an HR manager in the new business era, the biggest challenge is the integration of management. The structure of scientific management has been broken, and we need to explore a new logic of management, such as paying more attention to the talent itself, more attention to organizational change, more attention to dynamic management, and more attention to "from the outside in". All of the above on the manager's IQ, EQ put forward higher requirements, more reflect the combination of management science and art, in the following aspects, may challenge us, of course, but also a kind of future learning and improve the digital quotient of the proposal.
1. Quickly keep up and surge forward to capture the value of information created by the evolution of the industry and the explosion of knowledge. Knowledge, information, and even wisdom also have the Matthew effect - the wiser the wiser, refining external information, thinking about their own practices, and transforming them into methodologies and management models that are flexible and changeable due to different assumptions.
2. Rapid allocation of resources, from conceptualization to the gradual use of data to present the value of data measurement to reach the goal of demonstration, such as threats and opportunities, the best way to achieve the path, in order to achieve business-driven, these extremely test of the organization and talent management skills.
3. Data-driven thinking is a comprehensive capability that should develop into an instinct. The value judgment standard is clearer, and persuasion is easier to ground.Keystone has done a survey in 2015, 85% of the enterprises in the management process, and did not analyze high-value information from the data.
4. The spirit of dynamic accumulation and in-depth research will allow you to switch between the world of data and the real environment, where the joy of deep thinking lies, not to blame the constraints of reality, but to know how to develop and achieve short-term goals.
5. Use numbers to improve communication efficiency and effectiveness. The beauty of business and the beauty of management lies in finding a balance between certainty and uncertainty, data highlights the professional value and drive decision-making, communication and influence process, problem analysis, communication content or the value of cooperation need to reflect high-value data information.
Reposted from Yang Bing - Management Notes