Advanced Analytics with Amazon Quicksight

Advanced Analytics with Amazon Quicksight | Data Reply

Organisations increasingly strive to become more data-driven in their decisions and need to improve data literacy for all their employees, reducing dependency on IT and data scientists. They also look to gain efficiency by moving to the cloud, increasing the ability to provide self-service analytics in a secure, scalable, and cost-efficient way.

Many customers looking to modernise their advanced analytics, self-service, and reporting needs in a cost-effective manner have already migrated to Amazon QuickSight - a scalable, embeddable, ML-powered business intelligence (BI) service for the cloud that is constantly evolving with new features.

A number of the latest innovations and improvements make Amazon QuickSight an even more attractive option for organisations of all sizes. These include natural language query, fostering democratisation of analytics, embedded analytics with ML capabilities enabling rich data visualizations within customer applications, seamless scaling, security, and governance.

So, what is Amazon QuickSight?

QuickSight is a fully managed, cloud-native business intelligence (BI) service that makes it easy to connect to your data, create interactive dashboards, and share these with tens of thousands of users, either within QuickSight itself, or embedded in software as a service (SAAS) application.

Benefits

Easy data access and insights for every user, business and technical, quick and easy to set up, with QuickSight enabling natural language queries fostering self-service and democratisation of analytics.

A multi-tenant embedded dashboard for hundreds of thousands of users enables sharing dashboards without access to QuickSight or a need to duplicate and manage users scaling and governance.

Only pay for what you use; scale quickly with embedded Governance & Security – there is no need for any infrastructure overheads.

Embedded ML capabilities facilitate a move from descriptive to predictive analytics and insight - e.g., churn, anomaly detection, fraud use cases.

Our approach

As a specialist in Data, Analytics and AI/ML on AWS technology, Data Reply works with customers to help them with actionable data driven insights, with driven business transformation.

Reply has the AWS QuickSight Service Delivery Competency and is part of the AWS QuickSight Business Impact initiative helping customers to better use QuickSight in building data driven business functions and processes. Examples include Contact Centre Analytics, Supply Chain Visualisation for Risk & ESG, etc. ​

We developed a number of accelerators to help customers with QuickSight implementations for a particular use case, business function, process or with the QuickSight migration and modernisation of their analytics. These include architectures, QuickSight dashboards, data models, sprint /migration planning and other reusable QuickSight technical content to help reduce time to value. ​

For QuickSight Migration projects we typically adopt a 3-stage approach:

Migration assessment

Business Case, TCO calculator, Rapid Discovery etc.

Mobilisation

Implementing QuickSight Discovery and Planning, Migration path etc.​

Migration at scale

Includes modernisation.

Our Approach

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Case Study

Fastweb

A major engine manufacturer wanted to improve maintenance and assistance services, leveraging mixed reality applications, 5G technologies and the AWS cloud.
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Consulting Partner - Data & Analytics Competency

Data Reply is a Reply Group company, a premier AWS partner, offering a broad range of advanced analytics, AI ML and data processing services. We operate across different industries and business functions, enabling our customers to achieve meaningful business outcomes through effective use of data, accelerating innovation and time to value. ​

Consulting Partner - Machine Learning Competency

In addition to the AWS QuickSight Service Delivery Competency, Reply holds multiple AWS Competencies, including Machine Learning, Data & Analytics, and can support clients end-to-end in their data & AI journey on AWS.

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