Translating analytics, data and insights into risk mitigation, worker safety and dynamic reporting
Artificial intelligence (AI), predictive analytics, prescriptive maintenance – these are all buzzwords that have dominated industry conversations and engagements since these technologies first emerged onto the scene. They promise the organization significant benefits across risk mitigation, predictive statistics, dynamic analysis, and improved worker safety and behavior. Research by McKinsey has found that a more efficient workforce with higher availability can increase profitability by up to 10% and that digital tools can reduce equipment failures and streamline contractor management.
However, McKinsey also points out that these success metrics are only attainable if the business invests in tools that fit the business holistically and strategically, and that the culture of the business enables the use of these tools effectively. To see results, organizations need to ensure that they also embed optimized workflows, a richly layered data infrastructure, and well-trained people.
This is why it’s worth spending time building an interconnected and intelligent infrastructure that can help you unpack meaningful and actionable insights that can be used throughout the organization.
An integrated approach
One of the first steps towards squeezing out as much value as possible from your AI system investment is to ensure that it fits properly. Like a digital pair of pants, prescriptive and predictive AI systems can’t be tacked on at the last second in the hopes that they will somehow pull insights out of the data. The true value lies in ensuring that data is analyzed from across all data points and connected systems so that the platform can track operational and performance trends, and risk factors.
This in-depth view of the business can be used to find unexpected gaps and vulnerabilities in processes and workflows, allowing for refinements and improvements that can deliver value over both the long and the short term. Using AI and machine learning capabilities, a well-integrated solution can use crowd wisdom, best practice, and data to create a beautifully lit picture of your safety protocols, machine statuses, location risks, material risks, and more.
Building an integrated and intelligent system is a map to events that could potentially threaten worker lives or create production failures. With predictive AI in place, the system will notify you of a possible problem before it puts anyone, or anything, at risk. Added to prescriptive AI, you can maintain and manage systems far more efficiently, thereby reducing downtime, improving overall system and worker performance, and building personalized routines that guide the performance of people, tasks, and assets.
AI is a tool. Strategically integrated, it’s a tool that can fundamentally transform how you manage and optimize your operations.
Data has been described as the black gold of the Fourth Industrial Revolution (4IR). The blood that runs the business. The organization’s most valuable asset. This is all true, but only if it’s being sourced, interpreted, and managed by the right platform. Data is vast – big data, data lakes, data warehouses, data lakehouses – and it comes in multiple formats and flavors. It doesn’t hand-deliver insights to your desk.
…you are using a platform that has been customized and curated to meet your very specific requirements across worker, system, safety, and reporting. Invest in a platform that allows you to harness the power of your AI and make data-driven decisions that leverage data mining, customized system parameters, and actionable insights. You want to be able to use real-time data analytics, historical data, and company-wide curated metrics to fully realize your business requirements and risk parameters, and refine your processes.
Another value-add of well-designed data-led operations is the reporting. If you dig deep enough into the data, then your reporting can fundamentally change how you manage your processes. With reporting designed to fit your business, you can unpack insights across diagnostics, predictive statistics, prescriptive guidance, dynamic analysis, and comparisons against leading key performance indicators (KPIs).
This is one of the most invaluable elements of a data-led business. You can use both predictive and proactive insights to enhance situational awareness and improve decision-making.
The GOARC difference
The GOARC Safety 4.0 platform is built on the principles of preventative and descriptive AI; the connected worker through data integration; the command center with data visualization tools and as a single source of truth; and real-time insights that redefine decision making. The platform enables real-time data collection alongside AI-driven predictive analytics to deliver meaningful, actionable insights across the organization.
Using the GOARC Safety 4.0 system, you can analyze the data from all data points and connected systems, tracking trends and risk factors based on the GOARC risk model that incorporates data from workers, locations, time of day, weather, tools, and materials. The platform prevents events that threaten workers’ lives or that could cause production failures, and it delivers a dynamic safety routine that guides performance and operational optimization.
By harnessing the power of your AI to make data-driven decisions using the GOARC solution, you can fully realize the potential of your data, systems, reporting, and insights. We collaborate with you to build a fully integrated architecture that fits hand in glove with your infrastructure and meets your strategic requirements and helps you translate your data and future into insights that matter.