Ishikawa. Heijunka. Kazien. Poka-yoke. Pareto. Technical operations relies on a complex, collaborative global language to design, analyse and improve the production of goods and services. Meanwhile, the rapid development of artificial intelligence and machine learning is ushering in a new new era of transformation that will bring about game-changing approaches, models, processes and systems in technical operations management.
A recent article from The Telegraph stated that 60% of small businesses in the UK fail within the first three years of existence. One of the main reasons for this failure is poor implementation of technical operations. Without proper technical operations management, it’s safe to say that a company will struggle to achieve its goals and deadlines. A technical operations manager must anticipate the needs of the company according to the scalability of the business. Essentially, it’s about balancing technical and managerial knowledge.
Advances in technology have led to many benefits for businesses across all sectors and it's the job of the technical operations team to avail of these advantages and utilise technology the best way possible to benefit their company. A study by McKinsey Analytics titled ‘Analytics Comes of Age’, suggests that supply chain management (including distribution), workplace management and operations are where advanced analytics including ‘big data’ are making the greatest contributions to revenue growth today.
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