6 Valuable Data Management Tips To Improve IoT Productivity

The Internet of Things is being increasingly adopted by various kinds of businesses to ease their processes and functions. In this post, we are discussing some valuable data management tips to improve IoT applications’ productivity. Many companies are offering IoT enabled products that have made lives easier for their target customers.

The increased use of this innovative technological solution has also left companies with a huge amount of data. They are grappling with issues like for how long the information must be kept and should it be archived after its use or not. All these problems, in essence, are related to data management and organizations need an effective strategy to deal with them. Hiring a professional data management strategy is a good option that will give them access to expert advice. However, businesses can create their own roadmap to manage their assets efficiently by using the following suggestions.   

1. Identify An Objective For Managing The Data

Begin by asking yourself why do you want to manage the data received from the IoT systems? Look for specific answers rather than replying with a plain to store it efficiently. The information is generated by the applications can be considered valuable only if it serves a useful purpose. For instance, in a manufacturing unit, the various connected machines will be relaying information related to power consumption.

Going through the data will help you know the components that consume the most power and also help you know if some processes are wasting a valuable resource. This kind of insight can be helpful in improving operational efficiency by lowering resource consumption. You need to identify a specific goal or a strong reason for managing the data.

2. Plan A Strategy For Data Storage

There is an overflow of information at modern organizations. Once you start using an IoT application, the flow will only increase further. Enterprises need to plan their data storage so that precious space is not wasted. Not every piece of information is valuable and even an element that is valuable at present may not remain so in the future.

Moreover, some items will be needed on a regular basis while others may be needed after long intervals of time. Let’s get back to our example of the manufacturing facility. When you are studying your plant’s electricity consumption, you will need to access the data on a daily basis to know the units responsible for maximum usage.

However, you will also need to store some information for the long term so that trends and patterns can be identified later on.  You need to plan your organization’s short-term and long-term storage.

3. Invest In A Scalable And Agile Platform

One of the most useful data management tips to improve IoT systems’ productivity is to acquire a scalable platform. As mentioned before, the volume of information being generated by connected devices will only grow with time.

Organizations need a platform that can keep up with the increasing data volumes without losing its agility. Businesses are looking to extract value their information quickly so that they can speed up their decision-making process. They need solutions that can help them make the evaluations immediately.

The chosen platform must be able to rapidly process the data received from sensors and then move it to the appropriate storage location. In some cases, the mechanism may require access to elements that have been generated from sources other than the IoT sensors. The platform must be geared up to function optimally in such unique scenarios as well.

4. Create A Governance Program To Mitigate Security Risks

The data generated from the IoT program needs to be protected from safety hazards. Most organizations use a combination of cloud-based and on-premises infrastructure to run their programs. It is essential that the points where these two different environments interact with each other are secured properly. This is necessary to ensure no vital information is leaked to unauthorized entities.

A governance strategy must be defined to mitigate security risks and create efficient ownership and responsible framework. Governance will help in assigning ownership and responsibilities over various assets to correct stakeholders. Creating a monitoring mechanism is essential for exercising control over your assets and keeping them secure.

5. Include Analytics To Get Insight Into Your Information

The data from the sensors provides extensive information about the behavior of the users. In order to get this insight, you will need to include analytics solutions in your strategy. These tools will help in identifying trends and patterns in the information.

This kind of awareness enables better decision-making besides improving the efficiency of the processes or products they are related to. Applying analytics to real-time information as well as historical data provides a complete picture of the operational environment of your organization. 


The Internet of Things-based applications provide enterprises with large volumes of potentially useful information. Organizations need to use the data management services tips to improve IoT mentioned here to create an effective plan and use the information in an optimized manner.


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