Failure Analysis service launches Microsoft Power BI (Business Intelligence) capability. – Advanced Engineering Birmingham

30 & 31 October 2024

NEC, Birmingham

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30 & 31 Oct 2024 | NEC Birmingham

Failure Analysis service launches Microsoft Power BI (Business Intelligence) capability.
RED Scientific

Failure Analysis service launches Microsoft Power BI (Business Intelligence) capability.

Combining the Oracle database, APEX and Power BI has produced an incredible capability that is harnessed by our Service team and end-users to produce unique data insights at pace.

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We have recently combined Microsoft Power BI (Business Intelligence) directly within our Oracle APEX user interface, providing seamlessly integrated advanced data analysis capabilities, and state-of-the-art visualisations and reports. Integrating Microsoft Power BI into our System ensures the users have state of the art analysis and presentation features at their fingertips.
The integration of Microsoft Power BI lays further foundations for our System to offer flexible and powerful user-driven and data-driven tools that can reveal and tell the stories buried within raw data, equipping users with compelling intelligence on which to act.
Microsoft Power BI (Business Intelligence) is an ABI platform that delivers insights for analysing data. It can share those insights through data visualizations which make up reports and dashboards to enable fast, informed decisions. Power BI scales across an organisation and has built-in governance and security allowing businesses to focus on using data more than managing it.
Our System now has an enhanced, modern analytics and business intelligence (ABI) capability; characterised by easy-to-use functionality that supports a full analytic workflow – from data preparation to visual exploration and insight generation – with an emphasis on self-service and augmentation. Our platform is differentiated by Machine learning (ML) and Artificial Intelligence (AI) assisted data preparation, insight generation and insight explanation – to augment how users explore and analyse data.

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