Amidst the worldwide crisis of raw material supplies disrupted for the semiconductor and chip manufacturers, the client looks for an Supply Chain rejig with advanced Machine Learning and boost the Forecast accuracy to augment their planning process.

The Pharmaceutical enterprise struggled through supplies of raw materials for the Covid-19 medicines. Applied Machine Learning on SAP Procure-to-Pay data helped them predict and optimize the supply-chain with vendors who demonstrated 'best-buy-attributes' e.g. price, delivery precision and flexibility.

Every business today has ambition to modernize their Analytics landscape, & want move to new-age Data Warehouse on Cloud, to bring the cost-efficiencies in terms of TCO, & scalability like never sized before. For the Insurance major, we enabled swift Migration of SAP and Teradata DWH and BI reports to Snowflake; all without impacting ongoing business functions and reconciliation available at every step.

The cloud computing major wanted the On-demand creation of SAP Certified VMs and meticulously designed IAM Concept, Secure Foundation, and the Landing Zone for the SAP sandboxes ready for deployment. The interplay of different Operating Systems and a variety of SAP workloads, e.g. SAP ERP, SAP BW, and SAP BusinessObjects made it a demanding on-demand business.

A Construction Major in India, already on SAP S/4HANA running on Cloud. decided to switch to Google Cloud for a better experience of native cloud capabilities to monitor the SAP workloads, Network, OS, App & DB level matrices, better support, & of course, good pricing. Along with our Managed Services; expertise and deep engineering connects at Google, we're making the client successful and today they're simulating the tomorrow.

Disasters do happen! A Yarn manufacturer lived through a disaster at its on-premise data center. While they yet to go full stake on the cloud, decided smartly to shield their SAP S/4HANA landscape today itself, against the Disasters with DR on the cloud. There are always options, good & better; and we gave them choices & prototypes so the price-sensitive business arrives at a calculated decision, through the cost of solution & acceptable downtime, & affordable data loss.