Smarter, better integrated use of data is perhaps the theme of today’s EHS world. Data has the power to drive decision making yet organizations across sectors are struggling to make sense of and organize their data so they can fully realize its value.
Integrating data analytics into your business processes can help identify areas of risk and opportunity, move from reactive to proactive data-driven decision making, improve and increase transparency, productivity and performance, and reduce cost and risk all while improving efficiencies. We help our clients with data collection and management and apply advanced analytics to understand key trends, diagnose the root cause, identify correlations and hence derive effective insights.
Data Management to build the data foundation
Our team of data managers bring together the right data and ensure its of sufficient quality to support decision making. This work includes data governance planning, data integration and active data management using automated processes where appropriate. This builds the data foundation so that the value of the data asset can be fully realized. We combine technologies and approaches that improve the automation of data acquisition such as sensors, drones, augmented reality, virtual reality with other, traditional data streams.
As our clients advance their data visualizations through effective dashboards and apply data science to understand and predict their risks; the quality of data remains the key driver for success. We help our client understand their data gaps, define quality indicators, identify non-essential or under-utilized metrics that are being collected and deploy technology to enhance data management processes.
Analytics and Visualization
Our data management & analytics team works closely with subject matter and domain experts to make sense of the data and translate their data assets into actionable insights that can improve business outcomes including cost and time savings, risk reduction and improved reputation. We leverage the data asset to describe what is happening in the business, diagnose problems, identify causal factors and build predictive models for managing decision making more proactively.
Much of our analytics work is based on first principles that are core to data science, including statistical analysis, to ensure that our decision making is robust and well supported by the data. We use a combination of tools to build interactive dashboards, html documents and other dynamic visuals to help tell the data story effectively for stakeholders and different audiences across the organization.