Generative Business Intelligence with QuickSight Q

cimet

Success Story

About cimet

Cimet is a software company based in Novi Sad, Serbia, that specializes in providing innovative software development solutions designed to help businesses thrive in evolving digital landscape. The approach centers on delivering exceptional software products, including mobile applications and websites, that not only enhance the user experience but also drive business growth, improve operational efficiency, and reduce risk.

Cimet’s mission and vision are centered around providing outstanding user experiences, enabling businesses to excel in today’s competitive digital era, and leading digital transformation in the EU market. Their team is committed to tailoring solutions that exceed customer expectations while making sure clients remain at the forefront of innovation and technological advancement.

Project Overview

Branch

Software & Internet

Topics

Amazon Q + QuickSight Q Production Ready Implementation

Project Duration

4 Weeks

Customer Inquiry

How can we leverage AI to integrate dynamic dashboards in our device lifecycle management platform serving our B2B customers?

Project at a Glance

1

Challenge

Cimet‘s customers require deep insights into their device fleet across several areas such as usage, support cases, renewals and more. Additionally, customers have an increasing demand in self-services and want to build their own dashboards.

2

Solution

Leveraged AWS QuickSight Q for advanced data analytics, enabling efficient visualization and analysis of device lifecycle management metrics to drive decisions making.

3

Outcome

Cimet achieved a 70% increase in revenue per device by providing actionable insights through a self-service Generative BI solution within their DLM platform.

Objectives

Provide data-driven insights to customers as self-service.

  • Real-time Analytics
    Need for accurate, automated data analysis to quickly visualize and understand key metrics like usage behaviour per device, enabling real-time decision-making.
  • Self-service BI solution
    Requirement for customized and interactive dashboards that allow Cimet‘s customers to gain deep insights into their device fleet as well as to enable them to generate own dahsboards without existing BI knowledge.
  • GenAI Monetization Strategy
    Need to adapt the current pricing strategy of Cimet‘s device lifecylce management platform to effectively integrate GenAI solutions.

Challenges

  • Data-Driven Decision Making
    Need for real-time insights and data analysis to drive business decisions and optimize performance across nearly half a million devices.
  • Solution Adoption
    Making sure no deep BI knowledge is required for Cimet‘s customers in order to effectively use the to be build solution
  • Cost-Effectiveness
    The solution must be cost effective while being performant in order to support the business case in integrating a cloud native self-service Business Intelligence solution to their customers.

How Our Method Drives Results

Auvaria Approach

Secure Landing Zone Implementation
Established a secure and scalable AWS baseline environment for project execution, ensuring data security and compliance.

Modern Data Architecture
Implementation of a modern data architecture on AWS leveraging data lakes incl. LakeFormation, ETL integrations, and existing databases of Cimet.

Flexible, Scalable Reporting Infrastructure
Based on Amazon QuickSight Q, Auvaria implemented the Generative Business Intelligence solution leveraging the previously build modern data architecture

Platform Integration
Subsequently. The solution has been integrated into the existing device lifecycle management (DLM) platform and standard reports have been defined.

Success Story

The

Results

  • Secure Landing Zone Implementation
    Established a secure and scalable AWS baseline environment that not only supports the GenBI solution but also the future grwoth of Cimet‘s existing DLM platofrm.
  • Generative Business Intelligence Solution Implementation
    Implementation of the GenBI solution as well as the integration into the DLM platform including proper documentation to ensure the self-service approach can be brought to life.
  • Actionable Insights
    Based on the newly developed modern data architecture and the GenBI solution Cimet‘s customers can now access comprehensive DLM insights that support decision making
  • GenAI Pricing Strategy
    A fitting pricing model has been defined together with Cimet and focuses on a „GenAI as value booster“ approach.
  • Value Generation
    With the integrated GenBI solution Cimet‘s target is to increase their current revenue per managed device by 70%. First key customers have been onboarded which validates the new pricing strategy.

Thomas Kladensky

Head of Sales

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Thomas Kladensky