Internet of Things (IoT) together with Six Sigma, is easing a lot of hurdles of organizations. Six Sigma is a set of management technique which is intended to improve business operations by minimizing the errors that might occur. From manufacturing, security to other high-technology organization uses this technique to analyze the operational processes.
Continuous internet connection is unmatchable for the organization that depends on the IoT devices. With the help of high-speed internet, everyone in a group or a project can work together from any corner of the world. Nothing can hamper the progress of the project. They can be connected with each other by means of their smartphones, computers, laptops etc.
The experts can get valuable user information with the help of search algorithms and social media platforms. It has nothing to do with hacking or stealing information. Using personal information is not ethical, but at the same point of time, it is not unethical because the user has agreed to the terms and conditions. The use of that information is permitted if that is obtained legally.
If you notice the ad pop-ups in your social media pages, you will understand how smartly internet is using your past search options. The platform is using Artificial Intelligence (AI) in order to detect your preferences. According to the users, these ads are sometimes helpful, but in most of the times annoying. But this is how it works in the era of AI.
The data that is available on the internet is huge and not segregated; not all information is useful to you unless it is analyzed and interpreted. These huge data need to process as per the business analytics programs so that various business sector can avail the exact information they are looking for. The set of information will provide an insight into the organization’s profile.
The information translation and interpretation is relatively easy with the Six Sigma technique as you can seamlessly transfer those data into actionable intelligence. Now with IoT process management professional, you can make informed decisions with the help of enormous data.
This type of data gathering is especially beneficial for manufacturer and retailers who are entirely dependent upon IoT and Six Sigma principles.
Six Sigma is nothing but a five-step process. It works as follows:
i. D – Determining the issue that is holding the organization from achieving its objectives. This is nothing but the root cause analysis where additional data from IoT is actually helpful.
ii. M – Measuring the immediate situation and comparing it after mitigating the problem. The organizations can get a huge amount of IoT data on users’ preferences.
iii. A – Analyzing the collected data in order to confirm the root cause of the problem and looking for the solution and necessary intervention.
iv. I – Implementing the recommended remedy after analyzing the first three steps.
v. C – Controlling the technique of implementation by step by step procedure, i.e. collection, collation, interpretation of new data to measure the success of the intervention.
IoT data is extremely useful for users and organizations for their seamless performance. But both should remember that these data can be lost during interpretation. Human interference is one of the reasons for tarnishing the data; it sometimes causes the less-than-accurate conversion of the data.
Data-driven decisions can be taken quickly with the help of Six Sigma Technology. Though still there will be places for data corruption, maybe unintentionally. It can happen before reaching the end-user.
Organizations must keep a secondary way to verify these data, especially at the time of implementing sweeping changes, so that there will be fewer chances of data loss and misinterpretation.
Tanaya is a Senior Content Developer at IoT Avenue who helped to build the content of the site along with several other sites with her compassionate SEO driven content. She is also a HubSpot, certified Content Marketer. She brings her five years of experience to her current role, where she is dedicated to developing the content of different websites.
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