Key Feature
Discover Our New Dashboards
Introducing EncompaaS’s feature release designed to revolutionise how you visualise and understand your data. Our new analytics dashboards empower your organisation to create custom visualisations that align perfectly with your specific needs.
Published on Oct 20, 2024
Elevate Your Analytics
EncompaaS now allows you to create custom dashboards, adding to our existing built-in analytics capabilities. This enhancement facilitates a deeper understanding of your data through visual representations, making it easier to comprehend and act upon.
Purpose of Analytics Functionality
Unleash the potential of your enterprise's data with our advanced analytics capabilities. Create dashboards that provide interactive visualisations, allowing users to filter and explore data by clicking on visual elements that represent data attributes. This intuitive approach aids in gaining insights and understanding complex information effortlessly.
Custom vs Pre-configured Dashboards
While EncompaaS offers pre-configured dashboards, our analytics feature allows you to design dashboards tailored to your unique scenarios, offering flexibility and deeper insights that meet your organisational needs.
Underpinning Technology
Our analytics capabilities are powered by Insight Software's Composer, ensuring robust and reliable performance. Some help articles may redirect to Insight Software for additional information.
Frequently asked questions
In today's information age, AI is playing a crucial role in enabling organisations to handle massive amounts of data effectively. AI data management refers to the process of strategically and methodically organising and managing an organisation's data assets using AI technology. This helps improve the quality of data, analysis, security and decision-making for businesses.
Related Resources
- Video
Understand Your Data & Harness Generative AI
Jesse Todd (CEO, EncompaaS) and Jaimie Tilbrook (CPO, EncompaaS) delve into the critical challenges companies face in managing their vast data landscapes, emphasizing the importance of understanding what data is, where it is located, its context, and its value.
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