How Data Analytics Tools are Revolutionising Industrial Operations.

Businesses face pressure to improve productivity, asset utilization and sustainability to maintain competitiveness. Exploiting data analytics tools to continuously track asset and system performance against expected benchmarks is critical. Without comprehensive asset management data analytics, businesses are unaware of deviations in performance leading to excessive energy costs and lower productivity. This blog post will explore the critical role of data analytics tools in optimizing operations, including the ways in which data can be acquired, processed and stored, discussing the importance of using these tools in today’s technologically advanced age. Interested? Keep reading for all you need to know about data analytics tools.

What are Data Analytic Tools?

So, what exactly are data analytics tools? Essentially, these are applications that are able to collect, process and analyse huge sets of data. This enables the extraction of meaningful information from data that would otherwise be hard to digest and understand.

These days, data analytics is a broad term, and there are many different types of tools that are available to organisations in all industries. This includes the use of advanced applications using artificial intelligence (AI) and machine learning that can equip businesses with actionable insights.

Ways That Industrial Businesses Can Use These Tools

There are many ways that industrial businesses can use data analytics tools, and it is important to embrace these now to avoid falling behind the times. A few of the most notable ways include:

Blueprint Process Optimization

data analytics tools can be used to continuously compare actual process sequences against best practice blueprint tenmplates for  process optimization. These tools can collect data from production lines to alert to deviations from blueprint performance and sequence bottlenecks in complex systems, targeted inefficiencies that are causing reductions in output or excessive costs. By pinpointing the deviationswith accuracy, targeted improvements can be made to improve productivity levels and lower operational costs back to the blueprint standards.

Energy Management

Data analytics tools are also useful for industrial businesses looking to reduce their energy usage. During a time of rising energy bills and pressure on companies to reduce their environmental impact, energy consumption is an important consideration for all companies. Data analytics tools can look at energy usage patterns to identify areas where savings can be made, and deviations to expected energy consumption from worn components and motors for example.

Preventative Maintenance 

Data analytics empowers businesses to perform preventative maintenance with the use of predictive analytics. These tools can use machine and equipment data to accurately predict breakdowns and failures, which allows preventative maintenance to be performed to avoid downtime. Preventative maintenance is key for keeping industrial equipment in top condition and avoiding the costs associated with repairs/replacements and downtime. This is also key for increasing operational efficiency, which all industrial business owners strive for.

Industries That Can Benefit From Data Analytics Tools

These days, businesses in wide-ranging industries rely heavily on data analytics. A few industrial sectors that can benefit from using these tools include:

Water Supply and Waste Water Management

Water supply and Waste Water Management facilities can use these tools to monitor water quality, flow rates and preventative maintenance. This is key for the continued delivery of safe drinking water and compliance with strict regulatory standards.

Manufacturing

Manufacturing companies can use these tools to monitor processes and optimize resource allocation. Additional preventative maintenance allows for better uptime and avoids costly equipment breakdowns.

Energy & Utilities

Data analytics plays a huge role in optimising energy distribution with data used for grid management and demand forecasting.

Construction

Construction companies can use these tools to improve project management, monitor productivity and ensure safety. This can help companies mitigate risks and improve timelines.

Why Data Analytics Tools Are Essential

Data analytics tools are vital for industrial businesses, mproving decision-making and take the guesswork out of strategy, allowing businesses to improve with accuracy and grow. Additionally, these tools can often reduce costs by optimizing processes and avoiding unnecessary equipment repair/replacement costs.

Data analytics tools are essential in order to remain competitive. In an increasingly competitive and technologically advanced marketplace, it is the companies that are ahead of the curve that achieve the highest levels of success. This is why all industrial businesses should embrace data analytics tools that will enable them to improve and grow.

Here at datumpin, we have expertise in delivering data analytics tools to businesses in industrial sectors. Our tools can be used to optimize processes, maintain critical industrial equipment, improve supply chain management and provide data insights that will drive higher levels of success. Contact the team today to learn more about how our solutions could take your business to new heights with the power of data analytics.