Why You Need Big Data in the Maintenance Industry


As technology evolves, we hear a lot of terms popping up as the ‘next big thing’. And bid data is one such term which has been around for a while now. But it really is a big thing because it can do so much for a business. It helps you understand and identify patterns and change your business strategy to get the most profit.

Aside from helping your business grow, it also has an important role in the maintenance sector. They provide so many advantages like cost savings and reduced downtimes. How? Let us take a look.

Keeping your assets in top condition

Unexpected downtimes and failures of equipment result not only in business operations downtime, but also in extra cost. You will have to replace or repair your failed machinery as soon as possible to get everything up and running in no time. This will cost you a lot of money which you may not have budgeted for.

With big data, this situation can be avoided to a large extent. With the help of data analytics, you will be able to identify failing pieces of equipment in advance and replace/repair them before they affect your business operations. Big data can also be used to schedule regular servicing of assets to keep them in top-notch condition.

Predictive Maintenance

Predictive maintenance is something a lot of business skimp on. That is definitely not good for your machinery or your business operations. Identifying problems before they happen can save you valuable time and money. Fortunately, bog data is the perfect solution to this problem.

You can use big data and analytic tools to understand the health and performance of your assets and do the needful. With the help of some sensors and data, you can make the predictive maintenance process so much easier. Using a computerized maintenance management system (CMMS) software along with big data will take the whole plant maintenance program to the next level.

Maintenance Optimization

As mentioned already, with big data, we have a better knowledge of equipment health. As a result, maintenance strategies keep getting revised. With more maintenance work added on to existing ones, it can be hard to know when to stop and how much maintenance is actually needed. There is no point in wasting resources on unnecessary work.

Again, big data can be of huge help here. With real-time data and analytics data of the equipment, it can get very easy to identify where, when and how much maintenance is actually required, thus helping to cut down unnecessary processes. The maintenance staff won’t be overburdened and can actually focus on the problem areas.

Spare Part Inventory

Stocking spare parts that you won’t actually use does not make sense. It is just a waste of money and the unused spare part will degrade over time. Hence, it makes sense to avoid that from happening. These small cost savings will add up over time and make your business better. So, how do you avoid stocking unwanted spare parts?

By taking into account factors like cruciality of the asset, the cost, availability, etc. it is possible to make an educated estimation. But this estimation requires large amount of data and crunching of a lot of variables to actually work for you. With big data analytics, the available data is analysed and the spare part inventory is created accordingly to avoid wastage.


These are just a few uses of big data in the maintenance industry. By understanding big data well, we can take full advantage of it and use it to make the maintenance operation a whole lot better.