For most of the businesses, supply chains are the lifeblood. Collaboration across  various suppliers, processes, software has long led to creation of huge data off the back of even small-scale supply chains. Unfortunately, the data generated is useless in its raw form, however, when businesses leverage the power of analytics to create insights from them can help them in making informed decisions and run supply chain networks seamlessly.

Today, analytics is advancing at a breakneck pace, from developing innovations around the cloud, democratizing technologies, new AI capabilities and much more; various Analytics trends are gaining traction in the market.

With this horizon and data analytics technology on the upward path, it is critical to stay informed of what’s new and upcoming. Here we have compiled key supply chain analytics trends for 2022.

Supply Chain Analytics Trends for 2022

The COVID-19 pandemic has taught us that agility is essential to avoid significant supply chain disruption during these unprecedented times. Over the last two years, competitive advantage within supply chains has relied on the ability of all businesses to adapt quickly, embrace new technologies, and find innovative solutions.

Analytics that highlights the trepidations as they arise can help in achieving this much needed agility. However, a customized approach is required for businesses to focus on getting better insights from their software and align it with business outcomes.

AI and ML will become more intelligent

In recent years, Artificial Intelligence (AI) and Machine Learning (ML) space has been complex, with more companies entering the space than before. However, as we begin to enter a more mature space in 2022, more companies will invest in AI-driven automated insights. Low-code and no-code will democratize artificial intelligence. While data scientists will continue to focus on high-value issues, the participation will increase in advanced analytics utilizing automation, natural language processing, computer vision, and machine learning. More responsible AI will reduce the gap from design to innovation.

More businesses will move to the Cloud

While the migration to the cloud provides various opportunities and advantage to the businesses, such as scaling analytics processes, it also means they are bound to governance around data ownership, data access, and data control.

In 2022, analytics will finally cross the gap to the cloud. Adoption of Cloud technology is steadily growing as businesses seek to leverage the big data already available in the cloud repositories. These businesses are geared up to take the benefit of cloud native computing and reap the benefits of easier analytics access.

Data Fabric will become the base for the distributed enterprise

With online sales channels and digital businesses proliferate and remote working becoming a norm, a complex and diverse ecosystem of applications, devices, and data infrastructure is created. Especially, data infrastructure can extent on-premises, hybrid-cloud, multi-cloud, single-cloud, or a combination of these, extended across regional boundaries with no single solution to combine all this data together.

This year, organizations will create Data Fabric to drive organization-wide data and analytics to automate many of the data exploration, preparation, and integration. Data fabric will help in unifying the data assets spread across different formats, locations, and latency using physical, logical, or hybrid approaches. These data fabrics will enable organizations to choose their preferred approach that will lead to reduced time-to-delivery and make it a preferred Data Management approach in 2022.

Data Mesh architectures will become more appealing

As companies grow in size, central data teams have to deal with wide range of functional units and associated data consumers that makes it difficult to understand data requirements across cross-functional teams and provide right set of data products to consumers. Data Mesh offers a new decentralized data architecture approach for analytics that intends to remove the hurdles and take data decisions nearer to those who understand the data.

Beginning this year, big enterprises with distributed data environments will implement a data mesh architecture. With different domains or functional units within large organizations have a better understanding of how the data should be used, enabling the domains implement and define their own data infrastructure results in lesser iterations until business needs are met and are of high quality.

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What is supply chain transparency?

Transparency in supply chains refers to a process where a business knows exactly what is happening at each stage of its supply chain network. This allows them to communicate stated and fact-based information about its supply chain operations both externally and internally.

Some examples of areas of concern that are covered by such disclosure include –

• Raw material sourcing
• Safety standards
• Product quality
• Environmental protection & sustainability
• Labor practices and more

Transparent supply chains are the best way to create trust between companies, suppliers, and consumers because transparency in the supply chain displays an image of a business that is upfront and honest about its practices. It drives rapid progress and promotes overall satisfaction for both employees and employers.

Benefits Of Transparent Supply Chains

There are many benefits of a transparent supply chain.

One of the most important being the ability to provide companies with the confidence that their suppliers, products, materials are genuine and have been acquired honestly and as per the company standards.

Transparency in the supply chain network also demonstrates that the suppliers comply with the regulatory requirements, and all components can be traced throughout production and even in acquisition.

Customer Assurance

In today’s times, consumers firmly believe that they have the right to know correctly where their products are coming from and how they have been made. Consumers want to ensure product safety and quality, and ever more that the sourcing practices are in accordance with their values.

When information about your supply chain ethics, business practices, and safety standards is made transparent, you make consumers feel empowered and informed about their purchases. As a result, the chances of consumers choosing your product over the one with no background information available.

Brand Loyalty

The gold standard for business profitability has always been customer retention. When you share information about your supply chain, not only do you gain customer trust, but your brand earns greater customer loyalty. As a result, it leads to repeat purchases of your products by the consumers.

Brand loyalty also signifies positive word-of-mouth advertising, for instance, a customer proudly displaying your brand logo or your products being recommended in a specific age group.

Robust Partnerships

The trust nurtured by a transparent supply chain is not limited to your consumers. If you have a transparent supply chain network, it not only develops an ethos of trust in the entire ecosystem but draws like-minded partners and suppliers.

Additionally, an environment of trust and transparency will help in communicating openly with your suppliers, thus, driving continuous improvement through the entire supply chain and will build lasting partnerships. Also, when the suppliers know that transparency and honesty are rewarded, it is more likely that they will resolve production issues with you directly instead of delivering below-par work or unethical behavior.

In turn, you will be able to help the suppliers to improve their quality management systems and production through better supply chain communication, quality check data sharing, and compliance & quality training.

Competitive Edge

The advantages of a transparent supply chain can be far-reaching. With transparency in the supply chain, you effectively gain a competitive edge through responsible action.

Achieving Supply Chain Transparency

Recent technological developments are bringing more transparent supply chains within reach of most businesses.

Many companies now use cloud-based multiparty networks as a primary enabler of complete supply chain network transparency. This eliminates the need for costly and complex point-to-point integration, which causes isolated data, blind spots, and data latencies in the supply chain. 

Organizations once connected to the network are joined to all others who are on the network, thus laying the basis for real-time data sharing that is vital for complete end-to-end visibility and an important tool for enhancing accountability.

Concluding Thoughts

Transparency in the supply chain network ensures that the organization is doing the right thing or is at least trying to do the right thing. Now more than ever, companies are recognizing the importance of a transparent supply chain in building trust in the brand, enhancing collaboration, driving efficiencies, and reducing risks.

The bottom line is that businesses should “act and tell” in order to be successful in the progressively demanding global market.

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