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In a business context, agility is the ability of an organization to rapidly adapt to market and environmental changes in productive and cost-effective ways. An extension of this concept is the agile enterprise, which refers to an organization that uses key principles of complex adaptive systems and complexity science to achieve success. [ 3 ]
Agile Business Intelligence (ABI) refers to the use of agile software development for Business Intelligence (BI) projects. ABI attempts to enable the BI team, business people, analysts and/ or stakeholders to make business decisions more quickly. [1] [2] There are multiple approaches for improving or increasing BI agility.
Agility in working software is an aggregation of seven architecturally sensitive attributes: debuggability, extensibility, portability, scalability, securability, testability and understandability. For databases reliability, availability, scalability and recoverability (RASR), is an important concept.
The framework for business agility has also created a set of Agile Leadership principles. [6] The Agile leadership approach fits well in today's technology-focused culture in providing autonomy to employees while encouraging growth and experimentation to address the unknown needs of the future.
The technology-organization-environment framework, also known as the TOE framework, is a theoretical framework that explains technology adoption in organizations and describes how the process of adopting and implementing technological innovations are influenced by the technological context, organizational context, and environmental context.
In the distributed environment, one might have difficulties in keeping track of everyone's workload and contribution towards the deliverable. Through adoption of agile principles and practices, the visibility is made clearer as there are multiple iterations where one can visualize the issues or criticalities on the initial stages of the project.
Advances in digital printing and smart packaging technologies, including QR codes and RFID tracking, are also influencing the industry by improving traceability and customer engagement. Furthermore, the integration of automation and AI in manufacturing processes is expected to enhance efficiency, reduce waste, and lower production costs.
Influencing employees to voluntarily make decisions that enhance the organization is the most important part of strategic leadership. A strategic leader, in both instances, prepares for the future and considers both the long-term goal as well understanding the current contextual setting of the organization.