AWS Partner Network (APN) Blog
Tag: AWS Glue
How Accenture Helps Utilities Transform Billing Management Through Uptility
Small and mid-sized utilities have challenges within their vertical stack to commercialize and operate energy products such as power and gas. An efficient utility billing system allows providers to track and monitor the utility services they offer, manage billing processes, collect data, and engage well with customers. Learn how AWS and Accenture collaborated to build a vertical solution called Uptility for utilities in regulated markets, and how Uptility provides needed capabilities at low cost.
Data Governance Across AWS Organizations for Security and Compliance
Data governance serves an important role in ensuring the quality, consistency, and security of data utilized across an organization. Using a multi-account structure with cross-account access is an AWS best practice that offers several other benefits. Learn how to set up a data governance system in AWS Organization accounts with clients’ use cases and solutions, and how ASCENDING overcame the technical challenges listed above.
How hc1 Turns Lab Data into Personalized Health Insights Using AWS Serverless
Since 2011, hc1 has emerged as a bioinformatics leader in precision testing and prescribing. The hc1 platform built on AWS organizes live data, including lab results, genomics, and medications, to deliver solutions ensuring the right patient gets the right test and right prescription at the right time. Learn how hc1 ingests, organizes, and normalizes customer data to deliver analytics and improve operations management. As an outcome, customers use these insights to their fullest potential.
New AWS Partner Program Launches and Updates Announced at re:Invent 2022
Thank you for joining us in Las Vegas for AWS re:Invent 2022! We hope you enjoyed all of the educational content and big announcements. If you missed anything or just want to recap, we have rounded up the most relevant launches, program updates, and educational content available for the AWS Partner community, including the Partner Keynote with Ruba Borno. Reminder that you can watch on-demand re:Invent keynotes, leadership sessions, breakouts, and more.
Operational Analytics with MongoDB Atlas and Amazon Redshift
Enterprises are building data analysis capabilities to extract information captured in data, develop an understanding of their business, and channel efforts towards customer centricity. This post explains the need for operational analytics and how it can be achieved with MongoDB Atlas and Amazon Redshift. MongoDB is an AWS Data and Analytics Competency Partner and developer data platform company empowering innovators to unleash the power of software and data.
How Provectus Built a High-Load Data Quality Pipeline on AWS for Lane Health
Provectus developed a comprehensive data quality assurance (Data QA) solution that it offers customers as a blueprint for assuring data quality. Learn how Provectus built a high-load data quality pipeline on AWS for Lane Health’s data platform, while meeting the requirements for rapid innovation, performance, security, and cost-efficiencyLane Health gained the ability to track if and when its data deteriorated during transformation and understand the quality of data, and to explore and detect weak spots in data.
Rapid Accelerators for SAP Business Content with the Atos AWS Data Lake Accelerator for SAP
Many SAP enterprise customers have deployed data lakes to optimize manufacturing outcomes, track business performance, improve forecast, and accelerate product lifecycle management. The initial process of data extraction involves bringing data from commercial off-the-shelf (COTS) applications and non-COTS applications. Learn how the Atos AWS Data Lake Accelerator for SAP helps customers build a scalable data lake for SAP systems such as SAP S4/HANA or SAP ECC.
Data Reply Enables Autonomous Data Analysis Using a Serverless Self-Service Workflow
Data analytics and data science are constantly described as a black box that only technical people understand. To overcome this, AWS offers a set of services that make it easier for any user to learn firsthand from the data. This self-service approach enables non-technical users without coding experience to be more autonomous in their analysis. Learn how Data Reply empowers organizations with advanced analytics to achieve outstanding outcomes through the right use of data.
Empowering Organizations with Better Revenue Analysis Using SAP Data on AWS
Many organizations stay on track and achieve objectives by conducting a constructive analysis of strengths and weaknesses, but revenue and profitability analysis are not easy tasks. Explore why Metrodata chose AWS as a trusted platform to build SAP analytics offerings such as revenue and profitability analysis. These offerings empower customers to make business decisions quickly and effectively to expand in new market opportunities and focus on key growth areas.
Fast, Accurate, Alternate Credit Decisioning Using ElectrifAi’s Machine Learning Solution on AWS
Infusing machine learning into core business processes such as credit scoring creates a competitive edge for banks and financial services institutions. It does not require a data science team, expertise, or platform rollout. Explore an ML-based credit-decisioning model built by ElectrifAi in collaboration with AWS whose model rapidly determines the creditworthiness of a SME, and data-driven, actionable insights reduce the overall processing cost and are consistent and free from any potential human biases.