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Industries

Nimbus Intelligence plays a central role in structuring data in the cloud, specifically tailored to the unique challenges and needs of various sectors. From the financial world to the pharmaceutical, manufacturing, retail, and fashion industries – discover how we deploy advanced technologies to accelerate insights, manage risks, and optimize business processes.

Pharmaceuticals & Healthcare

fashion & luxury

manufacturing

financial services & insurance

retail & gdo

In a time where gaining more insights from data and gaining competitive advantages is crucial, Nimbus Intelligence plays a key role in structuring data in the cloud. This is particularly evident in the financial sector and insurance companies, where there is a growing need to monetize data and ensure its quality. We accelerate the transformation of customer experiences, strengthen risk management, and optimize business processes by deploying advanced technologies.

Nimbus Intelligence employs a team of Financial Data Engineers for data-driven decision-making. Our expertise includes structuring data in the cloud, simplifying data architectures, and implementing AI to transform customer interactions. By connecting with the broader ecosystem and financial service providers on the Data Cloud, we expedite access to data, facilitate secure data collaboration, and implement AI solutions for critical business challenges. The Financial Services Data Cloud enables insurers to automate tasks in underwriting workflows using data science and machine learning, providing easy access to new and alternative data for teams, creating an integrated source of truth. This allows insurers to assess risks better, optimize pricing and policies, and launch personalized policies.

In the pharmaceutical and healthcare sector, there is a strong need to share essential data more rapidly for faster decision-making and tracking development issues while maintaining a high level of quality.

Our expertise includes breaking down data silos and enabling secure data collaboration in the healthcare and life sciences industry, as well as with essential partners and supporting technologies. Our Healthcare data analytics engineers’ focus is on implementing big data solutions in healthcare, which include the processing of pharmaceutical data analytics, healthcare analytics and data science, to enrich available data.

We empower organizations to easily access unstructured, semi-structured, and structured data from a single platform with nearly infinite scalability, helping them generate comprehensive, real-time views of patients and members across clinical, claims, consumer, and socio-economic data silos. This promotes better health outcomes and reduces costs, all while adhering to the highest standards of data management and privacy.

The fashion industry is undergoing a profound transformation and faces new critical challenges that require a deeper integration of data. Data analytics in fashion plays a crucial role, focusing on leveraging data to add value to various aspects of the fashion and luxury supply chain. This includes freight transport, customs services, omnichannel distribution, and warehouse management. The goal is to consolidate diverse internal data streams to drive cost efficiency and operational efficiency in data management and improve response times in warehouse operations.

Rapid and accurate data analytics in the fashion industry is essential for operational excellence and efficiently achieving goals in this dynamic sector. We aim to generate standardized reports and offer dashboards with insights that work for 80 to 90% of all warehouses, aiming for almost zero maintenance and rapid implementation. This allows analysts to focus on their core roles rather than concentrating on repetitive maintenance tasks.

To address these challenges, Nimbus Intelligence creates a cloud platform that can receive data from databases, streaming, apps, and APIs. Additionally, it utilizes instructional data and web scraping to bring this data to the cloud and create transformation pipelines, making the data available to our clients in the fashion and luxury industry. Data analytics in the fashion industry thus becomes an integral part of our approach to optimize the value chain and gain competitive advantages.

In the retail and grocery, discount and online retailers (GDO) sector, there is a significant need to simplify retail data analytics, data architectures and harness the power of data and AI/ML for personalized shopping experiences, optimized pricing strategies, improved supply chain operations, and generating revenue from data. Managing massive amounts of data, ranging from transactions to receipts, and the need for real-time insights pose a challenge.

Nimbus Intelligence aims to break down data silos, ensure governance and security, and enable collaboration between retailers, manufacturers, and essential technologies. By simplifying data architectures and providing access to an open, interoperable ecosystem, Nimbus Intelligence helps organizations unlock value from fragmented data and deploy AI/ML to enhance shopper experiences, optimize operational efficiencies, and maximize new revenue streams, such as data monetization.

As Nimbus Intelligence, we can deliver certified implementation of retail analytics data in the cloud through agile analytics platforms with a flexible approach. We understand the need for Retail Analytics and strive to provide solutions specifically tailored to the goals of our clients in the retail and CPG sector. Our approach includes deploying AI, leveraging the right experts, and transitioning to the cloud. Nimbus Intelligence supports retailers and CPG companies in implementing advanced data analytics in the cloud, applying agile analytics platforms with a flexible approach to meet the specific needs of our clients.

The manufacturing sector is currently undergoing a significant transformation, with Nimbus Intelligence supporting manufacturers to converge IT and OT data more rapidly, implement AI/ML, and securely share data across the entire value chain. This approach aims for cost efficiency, improved cycle times, and, importantly, higher yields!

Our focus is on enabling data collaboration among partners, suppliers, and customers in a secure and scalable manner, increasing agility and visibility throughout the entire production value chain. The Snowflake platform, with optimized storage and elastic multi-cluster computing, can process large volumes of data generated from devices and the factory floor. This creates a comprehensive view of operations and accelerates smart manufacturing initiatives.

As Nimbus Intelligence, we can deliver certified implementation of retail analytics data in the cloud through agile analytics platforms with a flexible approach. We understand the need for Retail Analytics and strive to provide solutions specifically tailored to the goals of our clients in the retail and CPG sector. Our approach includes deploying AI, leveraging the right experts, and transitioning to the cloud. Nimbus Intelligence supports retailers and CPG companies in implementing advanced data analytics in the cloud, applying agile analytics platforms with a flexible approach to meet the specific needs of our clients.

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