Powering the Manufacturing Industry through Data and Analytics
Digital technologies are shaping the manufacturing sector in distinct ways. With the amount of data generated in the industry being enormous, optimum utilization of valuable data still remains to be an untapped opportunity for manufacturing companies.
Data Analytics is all about discovering significant information to streamline business operations and connected processes. The manufacturing industry presently is undergoing a metamorphosis through the growing reliance on advanced digital technologies and Platform-oriented approaches as opposed to the traditional manufacturing landscape. Effective use of structured data results in long-term as well as short-term strategic and tactical benefits.
The transition into such focused operating models is changing how products and services are being consumed. They also provide manufacturers and distributors the ability to stay at their peak in the highly competitive ecosystem. The growing reliance on data-driven models has reimagined the way Manufacturing businesses operate.
Data and Analytics: Driving the Manufacturing ecosystem
The technology adoption by manufacturers is changing the game for the entire industry, forcing their traditional manufacturing counterparts to evolve to stay productive and efficient in the market. The significance of data and analytics enable the execution of smart operations and management efficiency in the factory, the supply chain, and procurement. Let us take a look at how Data and Analytics are stimulating decision-making in the manufacturing lifecycle.
Industry 4.0: Shifting gears for Manufacturing
Industry 4.0 is the intelligent application of automation in manufacturing processes through various advanced digital technologies like the Internet of Things (IoT), cloud computing thereby creating a smart factory. These digital breakthroughs are aimed at enabling informed decision-making, real-time control of processes and production, and to help in optimum value creation.
Growing customer expectations and the emergence of connected platforms demand the need for digitalization in manufacturing. The industry remains to evolve in response to the goal of ensuring the right product is made available to the right customer at the right time. IoT still holds vital importance in driving Industry 4.0 as it integrates the entire chain of unstructured data into a connected environment to leverage actionable data and information through efficient collaboration.
Data and Analytics in Industry 4.0 plays a major role for Smart Factories, were using the data generated from the production machine, helps to ascertain the organization of any potential need for maintenance and repair.
Connected and optimized Manufacturing through Smart Factories
Smart Factory is a flexible system that aims at holistic integration of all factory operations with the resulting supply chain and procurement activities. This system is constantly evolving in line with the dynamic complexities within the supply chain and procurement operations helping organizations be more responsive and proactive. Smart Factories help the organization focus on meeting compliance standards while ensuring a lesser chance for human errors.
One of the core advancements powering the manufacturing technology landscape is Industrial AI and Machine Learning. Manufacturers should start harnessing the true value from advanced technologies like AI to enhance production quality, efficiency and thereby significantly impacting the bottom line.
Supply chain complexities resolved through the power of Data and Analytics
The manufacturing sector has a direct implication from the advent of Big Data trends owing to the pattern and amount of data involved. The amount of data accumulated is growing each day, hence making decisions based on the vast data available is becoming a challenge. Not all data gathered can provide useful information, most of the companies are starting to leverage the vast capabilities it possesses. Organizations should be capable of making Data-driven decisions from improving product quality to tracking the daily production line.
Warehousing and transportation of finished goods are both areas where Big Data tools can be harnessed to yield sizable returns, but very few companies utilize the capabilities to the fullest. The Transportation market is also being transformed with the help of Big Data Analytics and Data-driven methodologies. Big Data technologies facilitate organizations to track consignments, weather conditions, and travel routes on a real-time basis.
Sonata’s unique Data and Analytics offering
Sonata helps clients transform the traditional data warehousing and business intelligence models to a data-centric platform and modern BI solutions. With our unique Platformation™ approach, data platforms are crafted to enable enterprise digital transformation by anchoring data as the primary asset. We help enterprises with data strategy and realize value by implementing data analytics & visualization solutions. With Sonata’s vast breadth of experience, Enterprises can leverage the experience and frameworks to transform their data & analytics strategies and maximize value from data. Visit our offerings page to know more on transforming data strategies and to accelerate the implementation of your data & analytics programs with Sonata.