Unlocking the future: Autonomous supply chain analytics with Capgemini, Microsoft Fabric & Fivetran

In this guest blog post, David Millman, Partner Solutions Engineer at Fivetran, and Hemant Yadav, Data Modernization and Creation AI Center of Excellence Leader at Capgemini, explain how autonomous supply chain analytics, combining the capabilities of Fivetran, Capgemini, and Microsoft Fabric, can redefine the future. do. The landscape of supply chain management.

The ongoing digital transformation across industries has significantly increased the demand for more sophisticated and autonomous supply chain analytics. The integration of artificial intelligence, machine learning, and big data analytics into supply chain management (SCM) is revolutionizing the way companies oversee logistics, inventory, and customer requirements.

Future-proofing solutions that provide resilience to external forces, such as new legislation on environmental, social and governance (ESG) benchmarks and changing technologies such as big data, cloud and generative AI, is an ongoing challenge. This has significant financial implications because supply chains with high ESG scores attract new investors and increase market capitalization. Better AI strategies enable faster and more complete decisions.

Business Challenges in Supply Chain Management

The continuous optimization of a rational supply chain is integrated across many downstream and third-party organizations. This means that full 360-degree, real-time insights are nearly impossible. Organizational frictions are further complicated by technological diversity. Very quickly, data representations become hidden in numerous files, spreadsheets, transaction databases, and platforms for customer relationship management (CRM) or enterprise resource planning (ERP). In large organizations, technical challenges become more complex as there are multiple ERP instances with different software versions.

Orthogonal to this is the business requirement to deliver ongoing supply chain efficiency that meets both strategic vision and near-term change. For an example, let’s say you are a fabless integrated device manufacturer (IDM), a company that designs its own semiconductors but outsources all manufacturing. Perhaps the predictive model defines the quantity of devices that must be manufactured each day based on a known pool of manufacturing resources. A fire at this manufacturing plant could immediately upset this balance, putting hundreds of millions of dollars in revenue at risk. Supply chain solutions now need to adapt and respond quickly to these adversities.

Strategic impacts to the supply chain, such as legislative and financial changes such as ESG, typically require broader data sources than purely operational use cases. Suddenly, index data from sources like Bloomberg, MSCI, and S&P require investors to understand how they can increase or decrease their investments based on relative scores. Simply put, supply chain has another impact on shareholder value.

Powerful solution combining Capgemini, Fivetran and Microsoft Fabriaspirate

Driving this change are powerful solutions that combine Capgemini’s extensive industry expertise. Fivetran’s real-time data integration capabilitiesAnd take advantage of the powerful analytics power of Microsoft Fabric. The synergies of these products are redefining the landscape of supply chain management by enabling truly autonomous analytics.

Strategic supply chain investments, such as multiple SAP/ERP instances with different versions and a mix of on-premises and cloud deployments across multiple countries, continuously replicate that data into OneLake on Microsoft Fabric. All internal data encodings are converted and transmitted without violating existing license agreements. This helps alleviate difficult situations that often arise due to negative external events, such as an unexpected reduction in manufacturing capacity due to a fire or delays in important shipments due to accidents such as the Ever Given container ship getting stuck in the Suez Canal.

These situations can significantly change your schedule. Suddenly more and more data is needed, sometimes in hours, sometimes in minutes. In these cases, you can quickly upload your data sources to OneLake and access them in all analytics-ready formats. This rapid data integration allows crisis management teams to respond faster than their competitors. Rapid configuration and procurement of alternative resources can provide significant benefits to your business by mitigating fewer manufacturing or supply chain disruptions.

The logic and associated data of an organization’s supply chain is distributed across hundreds of different data sources enabled by a variety of technologies. Integrating all this data in a unified way is technically difficult and time-consuming. Adding short timelines to manage critical business issues further complicates these issues.

Collect and replicate large amounts of data for real-time insights

Fivetran was built from the ground up to make collecting new data sources as simple as possible, whether it’s connecting a new network or electrical cable. As a result, you can configure over 500 pipelines, including SaaS platforms, files, and databases, with complete security, scalability, and reliability in minutes.

More demanding sources, such as various types of SAP, take a little more time, but are much faster and more powerful than other solutions. If a connector is not available, data may be consumed through webhooks, database or file access, and on-demand connectors. Connect your most demanding sources in significantly less time while ensuring all enterprise features are built-in.

Autonomous supply chain analytics combines the best of technology and business best practices to create a unified, data-driven representation of your real-world supply chain. Built on a core set of data patterns, it integrates the same data cornerstones as many ERP/CRM systems and is designed to easily and sustainably scale and respond to market and physical disruptions.

Capgemini provides business and technical knowledge, while Fivetran automates the rapid ingestion of over 600 different types of data sources into a single platform. Microsoft Fabric is a platform that delivers a set of modern data tools and continuous improvements that come together to deliver unique benefits to your supply chain.

Current and historical data that can impact all seven areas of the supply chain is combined and presented to business users. It is automatically refined across three areas (raw, curated, and consumed) and can be delivered through various service tiers, such as a traditional dashboard or an AI-powered co-pilot. Supply chain and related professionals (shown on the right side of the graphic above) can: Seamlessly consume and derive new insights as part of your daily activities.

Data professionals can now use tools like AI-powered co-pilots to ask questions, combine, split, and dice as needed from full-fidelity raw data and fully curated information. Likewise, data innovators can continuously challenge the norm and test new ideas quickly and inexpensively. As the volume of supply chain data increases over time, the actual resolution time for the same cohort of data products should decrease.

Shocking external events that immediately challenge well-run supply chains, such as a ship stranded in the Suez Canal and a factory fire, can now be resolved faster than ever before. More important is the ability to respond and implement emergency plans that require faster access to limited resources than competitors.

this solution By combining the power of Capgemini, Microsoft, and Fivetran, you can apply data across your entire supply chain. As the volume of data and functionality continues to grow, incremental benefits will be achieved as data and supply chain best practices become established. These best practices also create data-competitive organizations by empowering new levels of agility when the unexpected happens.

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