Why should I adopt a real-time data analysis tool?
Real-time information is a necessity and an asset in organizations. With each passing day more data is generated and it becomes increasingly difficult to analyze the information in a correct way, reason why it is fundamental to facilitate the access to it. In many companies, decisions are still made based on reports with a few days, which makes the company reactive. In today’s business world, if a company wants to survive and succeed, it has to take a proactive stance. Therefore, adopting tools that allow the analysis of data in real time is a growing need. In today’s article, let’s see why your company should adopt a real-time data analysis tool!
More successful decisions
A company that has all the condensed information in one place can make better and more assertive decisions. In addition, decisions are made in a timely manner, which favors the business. In a company where the information is spread by various software and databases, it is difficult to gather the data needed to decide in a short time. Using Multipeers, all information from the various data sources is on the same platform, which dramatically reduces the time for decision making.
Setting up business alerts
Business monitoring software such as Multipeers allows the definition of business alerts so that you are advised whenever a situation goes beyond your usual standard. Wherever you are, you will be notified by SMS or email about any changes to your previously set standards and you can act immediately, even before there are serious damages to the organization. This proves to be a huge competitive advantage because it enables immediate action and prevents negative consequences for the business.
Immediate identification of opportunities
With real-time analytics you can identify opportunities right at the moment they appear, allowing you to stay one step ahead of the competition. A change in demand for a product, for example, could lead you to launch a specific campaign, which will increase sales and improve overall results. This represents a major competitive advantage over the competition.
Lower probability of mistakes
The use of real-time data analysis systems reduces communication failures and speeds data consolidation, thereby reducing the likelihood of making business-critical errors. All company information will be condensed only in one place, which makes analytical processes more agile and efficient, making all processes more fluid and efficient.
Business Info Query Anywhere
Almost all real-time information management programs offer the possibility of being used on mobile devices. Therefore, it is possible to be in a meeting or a trip and have real and updated information about the state of the business. This is a very important advantage, since increasingly your business is where you are, so it is vital that you always have access to the most up-to-date information about your company!
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.