Gartner released an ebook in response to changing decision-making due to the coronavirus pandemic. They surveyed a variety of IT decision-makers to gain insights into their changing decision-making process and how to adapt for the remainder of 2021. In general, decision-making complexity has increased and more data is needed to make informed decisions as 53% of respondents cited there is a higher expectation for them to be able to explain or justify their decisions.
By 2023, 30% of organizations will harness the collective intelligence of their analytics communities, outperforming competitors, or self-service. Gartner has identified 5 key actions for IT leaders wanting to re-engineer decision-making.
- Identify what decisions to re-engineer and why. Firstly, understand the current state of your organization’s decision-making and identify where opportunities exist for more insightful decision-making. Then, assess capabilities and deficits, and create a process.
- Prioritize decisions, analytics, and data. Start by identifying and assessing which decisions are insufficiently connected. Then, inventory your current analytics solution, and find ways to improve data quality.
- Consider the degree of augmentation required from advanced analytics and AI. Artificial intelligence adds a massive edge to decision-making. Machines provide visualizations and faster data and analytics.
- Understand the role of a data fabric. This provides the flexibility for data to freely integrate and be reused in multiple scenarios. By 2024, more than 25% of vendors will provide a complete framework for this.
- Build decision-making skills, habits, and competencies. In addition to data, there are several other skills and habits to employ for better decision-making. These include data literacy, decentralization, and forming better habits.