Tag: Amazon QuickSight
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.
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.
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.
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.
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.
Say Hello to 135 New AWS Competency, Service Delivery, Service Ready, and MSP Partners Added in October
We are excited to highlight 135 AWS Partners that received new designations in October for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations span workload, solution, and industry, and help AWS customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.
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.
Leveraging Amazon Transcribe and Amazon QuickSight to Extract Business Intelligence from Call Center Data
Many organizations record calls which are potential gold mines of rich insights about customer satisfaction, customer churn, competitive intelligence, service issues, agent performance, and campaign effectiveness. However, the sheer volume of phone calls exceeds a contact center’s ability to review and analyze them in order to glean those valuable insights. Learn how SourceFuse used custom microservices development to design a call center solution for a healthcare customer.
A digital journey is of strategic importance for many organizations, and digital transformation enabled by cloud technologies has increased efficiency and raised productivity with improved stakeholder experiences. To achieve these outcomes, transformation initiatives need to be holistic, interlinked, and inclusive. Learn how to supercharge customer experiences and make your contact center future-ready by leveraging HCLTech’s Fluid Contact Center Intelligence (Fluid CCI) and AWS AI/ML services.
While utilities have historically been rich with data from customers, programs, and assets, many organizations often manage data in siloes. Source data can also be disorganized, with deficiencies in defined quality assurance and quality control processes. Learn how utilities are successfully embracing Accenture’s data-led transformation (DLT) and leveraging accelerators powered by AWS to reach their business objectives and meet regulatory obligations.