Many cases of business growth and recovery based on data analysis have been reported, and the scene can be seen in all industries regardless of the size of the company. Incorporating data analysis into business is now becoming the standard for corporate management. So what is data analysis in the first place? From basic knowledge, we will introduce practical examples.
Methods for collecting data such as questionnaires and utilizing it for business have existed for some time. However, it is attracting attention that data analysis that utilizes a large amount of unintentionally processed big data will lead to the creation of innovative services and unique business models.
What is data analysis?
Data analysis generally says, “By collecting a large amount of various types of data, processing it, converting it into a format that is easy to aggregate, and charting it, we discover knowledge that we have not noticed until now.” I will be told. What is important in data analysis is what to obtain from the analysis results and how to utilize it. In other words, it is premised on problems and issues that you want to solve, and events that require verification and trajectory correction, and it is used as a means to support them, and it shows its true character.
Benefits of data analysis with big data
Data analysis that can obtain stable effects with higher accuracy than human experience and intuition. Specifically, I will explain what kind of benefits it has.
- Highly accurate analysis is possible
In the field of business, sales strategies that use data are well-known, and will be based on the accumulated experience. However, these are forecasts based on existing customers and do not take into account the unspecified number of potential customers. If we can appeal to people who feel “I want this now” through online advertising and DM in real time, it will lead to an increase in market share. Therefore, the utilization of big data becomes effective.
- Effect analysis is possible
Big data updates are many times faster than traditional systems. It is possible to grasp “products that are becoming more popular now” with high accuracy and to improve the visible effect in a short period of time. It is also an advantage that it is easy to verify the “effect of measures” after understanding how to use big data with data analytics companies in India and developing a new sales strategy.
- High real-time information
Once you open the data collection route, a large amount of fresh data will flow as if you cut a weir. By continuously accumulating data, the time required for data analysis is greatly reduced, and it is possible to check the effect in near real time. By creating an environment where it is easy to verify the effect, it is also effective for better service and speedy search for “next move”.
Since big data is a diverse group of data, it is inevitable that it contains data that does not meet the purpose in the first place, and that there are typographical errors, duplications, and omissions. Therefore, it is necessary to standardize which is equally to the cleansing the data according to the purpose before analysis. Failure to do this pre-processing can lead to erroneous analysis results.