Innotek Global

Case Studies

Case Study 1

Global Corporate HSE Data Analytics

The Challenge

Improve quality of HSE reports from 5,000 staff in 100 offices globally.

Accurately classify events

Extract “hidden” insights from events classified as “other”

Extract business insights to enable proactive safety measures.

The Solution

CSV Integration for file transfer to allow customer to upload new documents whenever necessary.
Azure SQL Server to provide secure & reliable low-maintenance data storage with standard structure
LR Natural Language Processing to deliver automated source text classification, multi-labelling

Expected Outcome

Noticeable reduction of events in “other” category.
Additional records provided with multi- labelling.
Increased visibility of data

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Store

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Case Study 2

Marine HSE Data Analytics

The Challenge

Enable a client’s multiple operating divisions to send documents and spreadsheets in a variety of formats that can be classified and parsed into a relational structure ready for ad-hoc analytics.
Enable the client to be productive in a short timescale with little ongoing technical involvement.

The Solution

Azure FTP for file transfer to allow multiple participants to send documents whenever necessary
Azure SQL Server to provide secure & reliable low-maintenance data storage
LR Natural Language Processing to deliver automated source text classification

Expected Outcome

Complete security guaranteed by the LR Azure cloud to give the client total peace of mind.
Clear analysis of preventive and proactive actions that can be taken to reduce accidents & injuries.

Load

Store

Analyse

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