ANALYTICS

Elcom’s Analytics solution will provide you with:

  • Modular offering – data services and/or technology
  • Multiple BI platform delivery options – PowerBI, Tableau, CXAIR
  • Open Standards (e.g. OCDS) for storing and sharing data within the system
  • Augment, cleanse, classify and aggregate source data from multiple disjointed systems
  • Use of AI, NLP and Machine Learning to continuously improve outputs
  • Allow deep analysis and insight across complex organisations
  • Quality Assurance and Validation Processes

How it works

Multi-Source Analytics: Streamlined,Consistent, Informative

Elcom is a market-leading solution provider for source-to-settle solutions for both public and private sector organisations. Through this solution provision, Elcom has gathered a vast amount of data from all stages of the process. Elcom has a team of analytics professionals that have developed an approach to leverage these rich data sources to support clients’ reporting requirements and provide a strong foundation of actionable information.

Multiple, disparate sources of data

Elcom builds robust reporting definitions to enable feeds to be input from various systems into the same analytical engine. This means that conventional reporting can be developed across groups of organisations to support the identification of synergies, opportunities and threats.

Data Enhancement and Augmentation

Our solution utilises established registers of information such as Companies House, Charity Commission, Scottish Charity Register and Care Quality Commission to augment and cleanse data. Data is then matched, categorised and classified using in-built algorithms that continuously improve over time. We can achieve 100% classification with a blended accuracy of 92% – significantly higher than industry averages.

Provide Meaningful Outputs

The ability of Elcom Analytics to elevate augmentation, classification and accuracy to new levels means new insights into trends and opportunities and threats, which can support AI-based predictive modelling to help with demand management, resource planning and action plans.

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