Tag: Analytics

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.

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.

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 HAQM 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.

Teradata has expanded its collaboration with AWS by adding integration capabilities for Teradata Vantage, the data platform for enterprise analytics and AWS cloud services. Vantage, with its NOS read/write connector to HAQM S3 data, already provides data integration with S3 data and Vantage enterprise data. Now, Teradata introduces an API integration with HAQM SageMaker and HAQM Forecast. This enables business users to drive outcomes with real-time analytics.

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.

In a manufacturing process, reports are critical for tracing problems and improvement. Technologies such as Industrial IoT (IIoT) can help companies improve reporting accuracy and traceability during the manufacturing process. Learn how Metrodata’s solution architecture aims for easy access as a reliable, durable, secure platform so customers no longer need to think about problems that may arise due to limited storage and lack of computing capabilities.

Monitoring inventory status and counts across various locations is key to inventory management. Internet of Things (IoT) sensors allow organizations to view and maintain the supply levels they need, when and where they need them, and ensure they are stored properly along the way. Learn how the AWS Executive Briefing Center (EBC) in Seattle is using AWS IoT sensor technology, along with integrations from CloudRail, to proactively monitor meeting room beverage inventory.

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.

Once data is available in HAQM Redshift Serverless, businesses typically look at ways to turn data into business insights. This is where modern analytics providers such as ThoughtSpot provide value. With its powerful AI-based search, live visualizations, and developer tools and APIs for sharing embedded analytics, ThoughtSpot democratizes access to data by providing self-service tools for all users. Learn how to create a connection between HAQM Redshift Serverless and ThoughtSpot.

One of the most exciting evolutions in cloud computing is the proliferation of hybrid cloud and edge computing services. Learn how the Confluent for AWS Wavelength solution was developed to bring Confluent’s data-in-motion technology to the network edge. We’ll demonstrate how the solution extends Confluent for Kubernetes (CFK) to HAQM EKS self-managed nodes in AWS Wavelength Zones to create a geo-distributed Kafka cluster at-scale for industrial IoT and low-latency 5G use cases.