How can your company use big data to be more competitive?
Data, data and more data: this is the life of a manager today. With each passing day, we produce more information and it becomes increasingly difficult to deal with so much data. If companies fail to extract reliable information from the data they generate daily, they lose their purpose. Only with correct and up-to-date information will companies be able to make the right decisions for the future of the business. In this article, we’ll realize how your company can use the big data to be more competitive!
Analyze business in real time for timely insights
Information is growing at a very fast pace, which makes its analysis increasingly difficult. The solution is to analyze the data in real time to get the most out of the information. Products like Multipeers allow you to analyze every second what is going on with the business. In this way, you can make the most of the data to make the best decisions for the business. Allying the large amount of data generated in companies to a real-time analysis allows you to gain essential insights for business success.
Better data collection
The data come from the most diverse channels and through Big Data it is possible to centralize them and group them by affinities. It is possible to be closer to the customer through the collection of data through questionnaires, applications, loyalty cards, among other instruments. The data collected is essential for assertive planning of marketing and communication actions.
Use the large volume of data in HR management
Many companies face the challenge of seeing their teams change multiple times in a short period of time. Without realizing why, they are not able to retain the best talent, which means that there is little stability. By analyzing the data, it is possible to get to know each employee better and help him to feel good in the workplace, thus avoiding his exit. It is important to know the motivations, long-term desires and opinions of the employees, since only in this way the management positions will be able to create a pleasant environment and where each employee feels good. Big Data in human resource management is a key factor in finding the right people for the right jobs. For example, through Big Data you can find out if people who have an interesting work experience are more likely to stay in the company for long periods of time or if the duration of previous experiences impacts on the performance of the current job. Based on these results, the company can focus on the most relevant factors at the time of recruitment.
Types of Big Data Analysis That Will Benefit Your Business
Descriptive analysis
This type of Data Analytics answers the question “what is happening now?”. Through the response, companies can analyze data on customer losses, sales for a particular product, and the outcome of launched campaigns. Descriptive analysis allows immediate decisions to be made with a high level of security, since the analysis is based on concrete and current data. The information coming from this type of analysis is usually displayed in graphs and tables, which allows the manager to have an overview of the processes monitored.
Predictive Analysis
Predictive analytics is an advanced form of Data Analytics that aims to answer the question “what will happen?”. It is a type of analysis that makes predictions through probabilities. This analysis is possible thanks to techniques like regression and progression analysis, pattern matching and various types of statistics. This type of Data Analytics is widely used in stock market and investment companies.
Diagnostic analysis
Diagnostic analysis will explain why something happened. This type of analysis will relate all available data and information to find patterns of behavior that may explain the results. It is an important analysis to find problems and above all to avoid repeating them in the future.
Prescriptive analysis
The prescriptive analysis is the analysis of premonition. It answers the question “what could happen if we take this action?”. This type of analysis is very important especially in the sales area. For example, “if we think about giving a 15% discount next month on the company’s lesser-selling product, the likelihood of increased sales is 40%”. The prescriptive analysis raises hypotheses about possible results of actions taken by the company. It is an essential analysis for managers, as it helps them to evaluate the best way to choose a certain strategy to solve a problem.