by heatfeed
Business Analytics

How to Use Analytical Software for the Growth of an Enterprise

Effective decision making is the key to the success of any business enterprise.  But what ensures the success of an enterprise? What does the process of a wise decision making encapsulate? 

So if you’re someone who is yearning for the growth of his enterprise, this article is for you. We often come across the term “Business Analytics,” and as technical as it sounds, it is not as easy as the snap of fingers. Analytics data is found everywhere, and segregating according to your needs is an art. But the pertinent question here is, “What exactly is Business Analytics?” and “ How do you need to use it for the growth of your enterprise?” Without much ado, let us have an insight into the very same. 


It is the process of collating, sorting, processing, and studying business data. It also promulgates the usage of certain specific methodologies and statistic models that convert basic theoretical data into business insights. 


1. Collection of Data

Before transforming data to form business insight, it is important to collect relevant data from a multitude of sources just so nothing is left behind, and there is no scope for duplication, and only the relevant data gets space.

2. Data Mining

While the collection of data, one is bound to have certain doubts. For example, you might observe a pattern with no logic behind it. Under such cases, it becomes prima facie to identify the unrecognized trends and patterns to achieve an enunciation and clarity. 

3. Associating and sequencing 

At times, consumers perform many tasks at the same time, and on other occasions, they perform the tasks sequentially.  Business analytics helps us in categorizing tasks, which entails systematic planning. 

4. Text Mining

Via Analytics, Enterprises can also collect data from social media websites, blogs, articles, and so on. This helps in knowing about the demand for the product by studying the trends in the market. 

5. Forecasting

Using the data collected and segregating it often helps in forecasting. For example, reading reviews of an article on a blog can help us depict the future demand of the product, and the enterprise can then regulate it’s production accordingly. 

6. Data Visualization  

This process is where the data collected and the interpretations deduced are presented in the form of appealing graphics to show the depictions, derivations, thesis, and model output production. 

This was basically how Business Analytics works. It indeed is a tedious process that makes us question, “Why do we need it, and how will it help the enterprise grow?” 

Importance Of Analytics

This part of the article shall attempt to make you realize the importance of analytics in the growth of a firm. 

1. Targeting Better. 

Several analyses show that using analytics for business in the decision-making process can increase marketing productivity by 15-20%. There is a ton of information present right there; business analytics helps in skimming the information according to the need of the enterprise. This streamlines the process of the customer with the brand as what he wants would just be a click away. 

2. Efficiency internally. 

While a lot has been mentioned regarding the output increase facilitated by using Data Analytics, we cannot ignore the efficiency it brings in the internal processes of the enterprise. Through data analytics, operators become aware of the trends and fashion vogue of the market they are evaluating. This prevents the enterprise from interpreting statistics wrong. 

3. Cost Reduction 

Big data technologies that specialize and concern themselves to the task of using data analytics often resort to cost-efficient methods when storing data. Had it not been for data analytics, fieldwork, and storage of data would have been a colossal task involving a huge amount of money. Therefore, data analytics also saves money with time. 

4. Introducing new products. 

With the ability to analyze and study the trends in society through a variety of websites and social media, data analytics also helps in introducing new products or adding new qualities to the already existing products.

For instance, studying the views on any product helps us know what’s lacking in the product and if it can be altered or something new is needed to satisfy the customers. 

5. Faster decision making

In this fast-paced era, anything that comes slowly is not of much vitality. With the dawn of technology, businesses are able to analyze the information immediately and in detail. With the speed of Hadoop and others, information is analyzed properly and efficiently thus aiding in faster decision making. 

6. Winning the War

Nowadays, Competition is supremely extreme, and to ace, we need to win. However easy it may sound, preserving and maintaining a database to meet the needs of the section of the society you are targeting gets really taxing and tough. Thus, using data analytics makes the task easier. It helps us to compete and gain the upper hand. Because competition is the era today. 

In this article, we saw what Data Analytics is, how it is to be used to reap the most benefits and how it helps the organization to get an edge over others and perform better.

The collection of data and its segregation in a way that helps the enterprise to target the audience is not a piece of The collection of data and its segregation in a way that helps the enterprise to target the audience is not a piece of cake. Henceforth, companies have widely embraced and demanded the use of data analytics. Just like a coin has two sides, every process and every phenomenon has its own pros and cons. Where on the one hand, data analytics helps in improving the speed coupled with efficiency; on the contrary constant, it isn’t easy to implement data analytics. However, with the help of a reporting solution such as Cumul.io, you can easily translate and make use of tons of complex data into an easy-to-use, intuitive reporting dashboard. Additionally, they also offer a white-label dashboard solution that allows you to give your users the tools to create their own analysis and dashboard within minutes.

At this juncture, we can conclude by saying that big data analytics have the capability to help you operate from a small vantage point. With accessibility and competency in both facets: Internal business and Output generation, one can succeed in this highly competitive era. Keeping in mind the slight disadvantages that it follows and balancing it with the ultra advantages it gives, you are good to go. Good? Not! Better.