Why Big Data is essential?
Industries looking to start their competitors or improve themselves. The idea is just a blind concept of improvement, Statistics are reliable. So they started to work on their data to make a decision. In terms of small scale, the solution can be made by a human. Whereas in the case of large industries, it’s quite tough for a human to take on. In order to do so, he needs the reports and statistics. Workers will just store the data. If the analysis is about the behavioral acts, services, and feedback which is not a numerical thing with which we can make a count to provide the statistics. So to analyze this thing we have to work on the analysis for the improvement
Nowadays the rise of industries and everyone needs to be competitive to others so they need to regularly work on their services upgradation so that they can withstand in the market.
We are here to assist the industrialists to take the necessary decisions by providing the reports in the manner which they require. We will be working with people from the top to bottom for understanding their entire flow. Then we will start the analysis based on their requirement
Big Data Architecture
Finding loyal customers?
In the financial sector, the need for analysis is much needed as the entire sector consists of risk. From the past of their customer, they can analyze and provide them the financial needs and gain revenue from it. If they are processing even before analysis it will lead to a major loss which they can’t bear. So it’s a major part to check real-time processing to know about the customers to proceed further
Travels & Logistics
In travels the major thing is time. In order, if they didn’t maintain the timing record it will be a huge loss. In fact, to enhance their business they need to analyze the comparative analysis for different locations or timing. They can also increase or decrease based on the fares based on time.
Every company wants to increase their sales a comparatively previous month or a previous year for their company growth. So in order to achieve this sometimes they need to provide an offer to their clients to increase their sales on seasonal period. We account for their previous sales over months as well we check the customers who are doing a major contribution. With the reports, the company will check the stats and then they can take when to provide the discount or for whom, etc.
They can also vary the prices for the products which is having higher demands
Popularity or reaction over social media?
With the use of sentimental analysis, we can check the emotions of our content on our social media profiles. So that we can attract our target audience. It is much-needed thing for a brand to sustain its worth. It will be also useful to do the marketing to provide some additional attractional keywords
Crafting your Business!
BigData provides more accurate analytical reports. Four major analytic types – Descriptive, Diagnostic, Predictive, and Prescriptive.
Descriptive analytics answers the question of what happened. Descriptive analytics juggles raw data from multiple data sources to give valuable insights into the past. However, these findings simply signal that something is wrong or right, without explaining why.
In the diagnostic analysis, historical data can be measured against other data to answer the question of why something happened.
Predictive analytics tells what is likely to happen. It uses the findings of descriptive and diagnostic analytics to detect tendencies, clusters, and exceptions, and to predict future trends, which makes it a valuable tool for forecasting. Despite the numerous advantages that predictive analytics brings, it is essential to understand that forecasting is just an estimate, the accuracy of which highly depends on data quality and stability of the situation, so it requires careful treatment and continuous optimization.
The purpose of prescriptive analytics is to literally prescribe what action to take to eliminate a future problem or take full advantage of a promising trend.