Case Studies & Use Cases
The World Bank
ASCENDING Implements Event Driven Lambda to Deliver Accurate Project Information Worldwide
THE WORLD BANK's website is located in the United States. Visitors from Europe, Asia, and Africa were receiving a delayed response or a network error due to limited server endpoints. On the other hand, unlike a commercial website, THE WORLD BANK's traffic burden is not heavy; most of the time the server capacity is far below 20%. It would have been a waste of resources to deploy more servers in dedicated data centers in different regions around the world. This was the dilemma that THE WORLD BANK was facing.
View DetailsFINRA
ASCENDING Provides AWS Certified Software/Data Engineers
One of the most standing clients of AWS and ASCENDING, FINRA's infrastructure and applications are either migrated to or built on AWS. FINRA's nature of work is in constant need of AWS-certified software and data engineers.
View DetailsDMVInvest
ASCENDING Implements AWS Serverless Appplication Model (SAM)
DMVInvest is a traditional family-owned real estate investment company helping clients from the US, China, and other countries to invest in properties in Washington, D.C., Maryland, and Virginia. As the business grows, they have more data and need to improve their communication with their investors. This will allow them to accurately deliver property information in a scalable way. They also need to have secured transactions. DMVInvest did not have a dedicated IT team, or internal resources, to work on their infrastructure or app maintenance.
View DetailsTOKENEED
ASCENDING Introduced CodePipeline to Build Continuous Deployment Process on AWS Kubernetes
As a global tokenization ecosystem provider, Tokeneed has to frequently update and release its products that match the new technologies, customers' needs, and regulatory requirements. This was a daunting endless process for the in-house development team.
View DetailsLargest Domain Registrar in US
ASCENDING Builds Custom Solution on AWS for an Enterprise Revenue Recognition Platform
The world's largest domain registrar decided to build a custom solution to separate Revenue Recognition Platform and eCommerce functions. They sought to develop a platform on AWS using serverless architecture, which ingests all the sales transactions from various acquired eComm System(s) and computes the appropriate revenue allocations within a defined arrangement. The custom solution is expected to assist our client with a well-architected solution in AWS and comply with SOX requirements. The goal is to build a unified model for finance and accounting to onboard new eCommerce systems and support the company's future organic or inorganic growth. It also mitigates the risk of misstatements.
View DetailsThe Mammoth Site
On-premises Data Migrate to AWS WorkDocs
The size of data was growing and became hard to manage, so they had to get more servers onsite. This caused a lot of inconvenience for The Mammoth Site, gave them extra unnecessary work and was very costly and time consuming. They did not have a delegated in-house IT employee to manage the server, so when issues arose, they had to find a third party to step in. This was also cost and led to prolonged response time. The Mammoth Site deals with scholars and researchers all over the world, and for security reasons, they need to maintain a VPN for them to access the data stored on-premise. This is very inconvenient for all parties, and as a result, they wanted to have a virtual place to dump everything.
View DetailsOTR Transportation
ASCENDING implements cloud data analytics platform to enable business intelligence
OTR Transportation, headquartered in Chicago, is one of the key players in the Freight Transportation Arrangement Industry. With the growing customer base, OTR decided to develop intelligent dashboards to access data from various sources such as market demanded area, container shipment, and traffic footage so that the stakeholders could make better decisions on setting freight rates according to the analyzed results and market trends.
View DetailsThe Canadian Animal Health Surveillance System (CAHSS)
ASCENDING implemented a data system that can collect laboratory and abattoir data to observe animal health in a more efficient way.
The CAHSS is an initiative of Animal Health Canada (AHC), with broad-based collaborative support from animal agricultural stakeholders and Canadian government bodies. The CAHSS decided to build a data system that can collect laboratory and abattoir data from different provinces such as Alberta, Manitoba, and Saskatchewan. The new system needs to be cost-effective, secure, and scalable to intake data from various data sources, transform it into a consumable format then visualize the dataset.
View DetailsShare Our Strength
ASCENDING implements data migration to help with labor and infrastructure costs
The No Kid Hungry campaign, established in 1984, has two different data systems that are managed by separate teams. This has resulted in difficulties with data integration and aggregation for downstream analysts and business users. One challenge is to synchronize records from Salesforce into the AWS Data Lake, as the records are not fully compatible due to the nature of the different systems. The other challenge is to unify the data schema in the ETL process from multiple data sources. The two systems have different schemas, and the ETL process must be compatible with both, while also meeting the business requirements for performance and accuracy.
View DetailsGPI
Building a Strong In-House Team for GPI
As the only Generic Pharma company located in Virginia, GPI faces significant challenges in finding suitable candidates for their open positions. With a limited pool of local talent , GPI must look outside their immediate vicinity to find qualified candidates. This often necessitates relocating individuals from other locations, which can be costly and time-consuming. Furthermore, the market for staffing companies that specialize in pharmaceutical manufacturing is relatively small, making it challenging to find a partner with the necessary expertise and connections to recruit top talent in this industry.
View DetailsSouthRAC
Boosting Cost Efficiency and Operations with AWS Rekognition
The South Reno Athletic Club (SouthRAC), Northern Nevada's largest fitness club, boasts over 1,500 daily active users and offers an expansive 91,000 square feet of fitness equipment and amenities. Like many SMB customer, they lacked AI expertise and faced a shortage of development resources and budget constraints that hindered their ability to develop custom AI models. They sought a lightweight and easily manageable application that could be implemented efficiently without extensive development efforts and overhead costs.
View DetailsThe Clearing
Streamlining Data Integration and Security on GovCloud
The Clearing, established in 2009, is renowned for its consulting expertise across various sectors including energy, finance, real estate, and government. Operating within AWS GovCloud, they aimed to enhance their data mining capabilities while ensuring data security. However, they faced several challenges: integrating data from five disparate sources, limited technical resources, and strict government compliance requirements. Additionally, the need for experienced data engineers to efficiently process and organize data from multiple platforms added complexity to the task.
View DetailsQuiroga Law
Secure and Efficient File Management for Law Office
The Quiroga Law Office, a leading immigration law firm with offices across the country, faced significant challenges as it expanded its operations. Firstly, the firm lacked AWS infrastructure expertise and development resources. Secondly, there was a pressing need for a secure and efficient method for clients and employees to upload legal documents, including scanned legal files and phone/video recordings. Lastly, Quiroga required an encrypted and secure method for file sharing within their internal web application.
View DetailsWarrCloud Inc
Scalable Remote Desktop Solution for WarrCloud
WarrCloud, a legal technology firm specializing in AI-powered warranty claims processing, faced challenges in scaling its operations, ensuring data security, optimizing costs, and enabling secure remote work for its employees.
View DetailsD2 NOVA
D2 Nova needed a scalable AI-driven solution to efficiently summarize customer calls, identify action items, and provide insights. Their existing process lacked the capability to turn extensive conversations into actionable business insights, a challenge they sought to overcome without complex infrastructure.
View DetailsOverture LLC
Overture LLC needed to transition from a managed SaaS model (OpenAI Team Plan) to a more secure environment, complying with telecom regulatory requirements and enabling AI experimentation with control and oversight. They aimed to enhance generative AI use cases without existing RAG pipeline or vector database integration.
View DetailsUpTempo Group
Intelligent Data Agent Implementation | Healthcare
UpTempo Group needed to give their healthcare clients—including major organizations like Johnson & Johnson—a better way to access and understand complex, interconnected healthcare data. Their main hurdles included:
View Details- Making Data Accessible: Business users, not just IT staff, needed to query and interpret data without learning complicated database systems.
- Unifying Data Sources: Healthcare information was spread across multiple, interrelated databases and tables, making it difficult to get a complete, accurate answer to even simple questions.
- Enterprise Scalability: Any solution had to support secure, multi-client access, and scale for large enterprise accounts.
Digital Air Strike
AI-Powered Data Analytics Transformation
Digital Air Strike's business users couldn't access data warehouse insights without specialized SQL expertise, creating dependency on limited data engineering resources. Report generation required dedicated analysts and custom dashboards, resulting in bottlenecks and escalating IT costs that hindered rapid client servicing.
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