Smart EHSQ Powered by Business Intelligence

DOWNLOAD NOW ButtonThe puzzle pieces of raw data come together to become a transformative picture for business when advanced analytics are applied.

History shows advanced analytical capabilities used in business are a foundation for improved decision-making and performance. Data gathered through various activities and processes becomes insight and intelligence when analysis workflows and methodologies are applied. And the more analysis scrubbing of data, the greater the potential for yielding knowledge and actionable awareness to accelerate improvement.

An exceptional analyst or analytics team can be a starting point for analytics. Going above and beyond in getting the most intelligence out of data collected requires something much deeper, through the scale of many people and analytical processes. An organization should be considering how to foster a data-centered culture of share and share alike in order to extract as much intelligence as it can from data gathered.

That happens in two ways:

a) Through embedded analytics, where insights are served up in real time, directly from machine to any number of users, and,
b) Through self-serve analytics, where any number of end users can create and communicate their own insights through easy to use analytics portals.

EHSQ (Environment, Health, Safety and Quality) is something of a new frontier for business intelligence (BI) practices and techniques. Today’s self-service tools make EHSQ analytics much more possible at every level, helping to align people, processes and technology to play greater role in change management.

But back to that notion of getting the most from data in the way of intelligence and building a culture of analytical innovators.

Like most things in life, the task is a journey. BI maturity is a steady climb up a steep curve, especially when it comes to introducing BI in EHSQ functions. The place to start is considering where your company currently ranks on its BI voyage in terms of EHSQ? There are three possible stages:

  1. Stage 1 (Data Basics for Compliance): You’re simply focusing on the basics – recording failure incidents, launching investigations, conducting annual audits, and reporting these incidents to appropriate authorities.
  2. Stage 2 (From Data to Insights): You’re looking to understand what is working and what needs to be overhauled in terms of BI processes and practices.
  3. Stage 3 (Advanced Data Use): You recognize through your analytical processes what new disasters might be averted from risks that we have not even contemplated.

There’s much more to say, of course. A recent report from Intelex Technologies, called – BI and EHSQ: Realizing the Benefits of a Data-Driven Journey – discusses how the use of shared data improves business processes and supports safety efforts in new high-risk areas. It also demonstrates how transforming your company to becoming more data-centered is both possible and easier to achieve than you might think.

Download it here:


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