Before diving into Data analysis role in IoT, let us first understand what data analysis exactly mean
What is Data Analysis?
According to Wikipedia, Data analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusions and supporting decision-making. In other words, Data analysis refer to converting raw data to useful required data.
Why do we require Data Analysis?
- Firstly, It helps the organization make better business decisions, whether it is customer reviews, product research, market study, etc. Secondly, Data analysis provides brief research and insights required.
- A good data analysis can provide information on sectors which requires more financing.
- It helps identify trends to stay in the competition
- It helps in building a proper marketing strategy in expanding businesses
These are only few mentioned, It is required in almost every field for effective planning, validating decision, and selecting the proper target audience.
How is IoT and Data analysis related?
Internet of Things (IoT) is referred as things connected to the Internet. These things are nothing but devices which measure some parameters and in turn produces data. This raw data are then cleaning, transformed and refined to produce important useful data which is nothing but data analysis. The data generated by IoT is of value only if it is subjected to analysis
Role of Data Analysis in IoT
Data Analysis plays an important role in development, success and use case of IoT. Moreover, as the number of IoT devices are increasing day by day the amount of data produces increases which in turn increases the demand and importance of Data Analyst.
Prescriptive Analysis: It is a combination of predictive and descriptive analysis. Therefore, it helps understand best step of actions that should be taken in a particular situation.
Volume: With the increasing devices and variation in data sets, the volume of data is tremendously increasing. This result in the organization to build large IT infrastructure to manage these large volume of data and also analysis to determine patterns. Proper analysis can reduce problem to some extent
Increase in Revenue: Insights of customer review, market study ,their choices and preference helps build better strategies which results in growth and expansion of the organization
Efficiency: Increasing the data sets and analysis on it can result in greater efficiency. Getter analysis results in precise and accurate information
Competitive Edge: Using Data analysis improves services and provides the ability to gain better competitive edge in this upgrading world.
Challenges faced
Storage of Data: Increase in data demands for more storage which in turn results in more cost and maintainance
Visualization of Data: The data cannot be visualized directly as it is a combination of structured, unstructured and semi structured in different format.
Data Privacy: In Today’s world Data being one of the most powerful thing it is really important to keep data produced from devices safe and secured. It is important to keep crucial data confidential and protected which may contain personal Information.
