Data Analysis
Turn vast volumes of data into actionable insights.
Asset-intensive organisations are collecting increasing amounts of data from sensors, devices, IoT and other systems – and this trend is set to continue. One of the biggest challenges when having access to such vast amounts of data is how to data sets into meaningful insights, unlock patterns, identify correlations and report anomalies.
Without proper tools or methodologies for analysing data, organisations will struggle to extract meaningful information, which can lead to inefficiencies, missed opportunities and a reduced ability to gain a competitive advantage.
COSOL has over 20 years' experience in data management and analysis for asset-intensive organisations across the Natural Resources, Energy & Water, Infrastructure, Government & Defence industries.
We have expertise in advanced analytics, combined with a deep understanding of AM systems and processes. We employ state-of-the-art algorithms, advanced statistical models and AI-driven techniques to analyse vast volumes of data to transform data into valuable actionable insights that inform decision-making and facilitate proactive maintenance strategies.
Our key data analysis focus areas are:
- Machine Learning
- Artificial Intelligence
- Industrial Mathematics.
IMPROVE ASSET PERFORMANCE
Leverage the power of data analytics to enhance asset reliability, minimise downtime and optimise maintenance practices.
IDENTIFY POTENTIAL FAILURES
Predictive models and AI algorithms enable the identification of potential failures in advance, allowing for proactive maintenance interventions.
REDUCE DOWNTIME
Apply proactive maintenance from insights to reduce the risk of unexpected breakdowns or downtime.
OPTIMISE COSTS
Optimise maintenance schedules, resourcing and energy consumption to reduce costs and make informed budgeting decisions.
ENHANCED DECISION-MAKING
Access real-time analytics and data-driven insights and empower teams to make informed decisions based on accurate predictions.
SCALABLE
Scale and evolve data analytics capability to suit organisational, system or industry changes.
