As part of Solutions Review's Premium Content Series-a collection of contributed columns written by industry experts in maturing software categories-Maziar Adl, the Co-Founder and Chief Technology Officer at Gocious, shares insights on the relationship between agile manufacturing and big data.
Amidst a volatile economic period, supply chain disruptions, and product shortages, manufacturers have had to get creative to ensure efficiency and productivity in their factory operations. The introduction of digital transformation and the implementation of big data solutions helps elevate a business' offerings during these disruptions. A company's output can exceed consumer expectations and significantly increase profit margins when paired with agile manufacturing processes.
The employment of IoT devices and analytics enhances product management lifecycles and roadmaps to improve overall ERP strategies. By implementing technology that identifies errors in real-time, manufacturers can evade a system-wide shutdown caused by an otherwise preventable mistake. Introducing IoT technology to an agile operational process ensures fewer catastrophes and greater consistency.
Business analytics has become invaluable for CIOs of companies that want to bolster their competitiveness in the new economy
Analytics is becoming more important than ever in the world of business. Over 70% of global businesses use some form of analytics. This figure will rise as globalization, supply chain challenges and other factors increase competitiveness.
This is an important year for enterprises keeping in view that most global industries are recovering from the pandemic horror, and the era of web 3.0 is at the doorstep. For both reasons, the role of CIOs has to embrace automation and analytical thinking in strategizing the organization's initiatives. Until now, they were proactively involved to maximize IT efficiencies and accelerate cost savings in general.
Today's BPM platforms can help your organization create, optimize, and monitor vital business processes using sophisticated discovery, AI, and low-code/no-code functionality.
In the past, businesses were said to run on paper. Today, they run on data and that data is usually juggled, herded, curated, and organized by business process management (BPM) software.
BPM tools help organizations create, execute, optimize, and monitor business processes. There are dozens of tools that fall into this category, including homegrown systems built by the local IT staff. Since those early inhouse iterations, BPM systems have evolved into excellent full-fleged platforms for tracking and fine-tuning everything that happens inside an organization, complete with a wide variety of interfaces for working with other standard enterprise systems such as accounting software or assembly line management systems.
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