In an era where global organizations are fervently pursuing sustainable innovation to curtail environmental pollutants, manufacturers stand at the crossroads of transformative change. A recent Gartner survey revealed that 87 percent of business leaders expect to increase their organization’s investment in sustainability over the next two years.
This transformation requires more than just incremental adjustments. It demands a paradigm shift in business models, a reimagining of employee roles, a cultural evolution, and an unwavering commitment to fostering innovation on the basis of sustainable evolution. However, the challenge persists as the industrial sector clings to outdated analog methods for environmental monitoring, hindering comprehensive data gathering and decision-making.
The Dilemma of Legacy Practices
Deep-rooted reliance on traditional monitoring methods in manufacturing pose a significant obstacle to gaining insights on the shop floor. Outdated approaches limit the scope of data collection and overall visibility, leading to decision-making based on an incomplete data picture resulting in operational inefficiencies. According to a recent article, published by Garnter, VP Analyst, Stefan Van Der Zijden, many organizations’ legacy systems are seen as limiters to the business initiatives and processes that rely on them. Adding that when a tipping point is reached, application leaders will need to look to application modernization to help remove the obstacles.
To enhance efficiency and foster innovation, manufacturers must proactively recognize the limitations imposed by conventional monitoring methods. Embracing modern and advanced technologies for environmental monitoring, such as IIoT (Industrial Internet of Things) sensors, satellite imaging, and data analytics, is paramount to overcoming these limitations. By doing so, companies can break free from the constraints of outdated methodologies and usher in an era of data-driven decision-making.