10 Reasons to use Big Data for a Small Business

For any business to operate, data is their biggest asset and challenge. It is the primary thing to understand their consumers. Heard, you are running a business? Do you know the impact the big data is bringing for your business? How big data is useful for your small business? Not only you, but this is the million-dollar question, everyone is asking. Moreover, this is the worth asking question.

According to the research, 2.5 quintillion bytes of data created daily. Can you mobilize the data for your effective business strategy? Marketing departments have revolutionized their surveys by collecting demographics. Retailers who are embracing such changes are unlocking hidden values and many other functions as well. Thus major businesses are utilizing some form of automated CRMs(Customer Relationship Management). Big data has become a part of everyday activities. Many people are now believing that it is not only for hardcore business features but can be used to

  • Optimize the marketing opportunities
  • Lowering the costs and increasing the revenue
  • Bolstering security

You might have noticed the emails you received from your favourite companies. Big data help retailers send them to you. There are tons of data available and java developers are taking a big step in big data systems development. The potentiality of this data can be utilized properly if you have effective resources and the right tools. Below are the uses big data can bring to the businesses. 

Helps in better decision making

Staying ahead in these competitive industries is paramount for every organization. The future is challenging which has to be tackled at present itself. Every decision you make today has an impact on the future of the company. This is where the benefits of big data can be seen. The speed at which data is collected facilitates businesses to take more informed actions. It is noteworthy to remember that every decision they take has an indelible impression on the future of any organization.

Customer Experience

This is the age of a customer-centric approach. It places unfamiliar and unexpected demands on the organizations by customers. Besides, it requires changes in how the products are developed, marketed, sold and delivered. To succeed companies are looking for every opportunity and taking advantage of big data. It gathers the data about targeted customers and their buying habits. 

This makes a business to know about their buyer perceptions and offers a personalized experience.  In fact, it measures, monitors and models your businesses in real-time situations. Thus conversion rate will be high by lowering the costs. Ultimately there will be an increase in revenue. One example that uses big data to increase customer experience is RetailNext. Big data provides solutions to analyze customer data and brings in more traffic.

Price benefits

Big data is reasonable compared to other traditional data warehouses. Many companies are implementing big data along with other existing software. However, this trend is never-ending. Moreover, big data tools and technologies like

  • Apache Spark
  • Hadoop
  • R and
  • Any other cloud-based analytics

helps in reducing costs while storing massive amounts of data. This helps in storing huge data. They are also ways of doing businesses in a more efficient way.

New services and products

Companies which are utilizing big data know the behavioural patterns of their customers. They understand better what works well and what doesn’t. This helps in estimating customer satisfaction and design the products and services that customers would prefer.  Companies are taking the previous statistics and feedbacks of customers and launching their products with better prospects. Besides, real-time market analysis aids in understanding customer behaviour. Also their needs, and preferences. In addition, this helps in maximizing the demand for more personalized products and services.

Saves time

Many companies use big data in their organization. But only a few realize its full potentiality. Many say that big data is about the big volume. However, it is more than that. It is all about the data structure and the method of processing it. By this approach, you can easily find out the problem areas and resolve the issues in a shorter time.

Employee efficiency

Employees are part of the organization. Their productivity impacts a lot running a company successfully. Hence, they need to be motivated often and stay productive. Employees have to feel that their role is recognizable and valued. Thus, by bringing high-levels of engagement, there will be an increase in productivity approximately by 22%. This helps companies to scale higher. Big data can help in developing the efficiency of your employees. There has to be certain processes and programs to prove companies are effectively running. 

Analyzing the data through big data can give you a path for changes to make and processes to work better. The big data provides knowledge of where the additional training needs to be done in terms of the staff. Else, if there are any policies that need to be revised. Thus by improving the processes timely, you can develop better relationships. 

Analyzing social media

With the evolution of the internet and it’s increased usage, social media has become crucial in everybody’s daily routine. Not only these platforms help in connecting others but also has become an effective platform to reach targeted customers. Besides, with the advent of big data, social media platform has reached an all-time hit. According to estimations, by 2020 the data bytes will be reaching 44 trillion gigabytes. With such a huge number of data available, businesses and marketers are utilizing it to get actionable insight. With the help of this data, businesses can send any

  • Discounts
  • Special offers and
  • Promotions

Besides, photos, videos and updates posted by users offer useful information about their likes, preferences and dislikes. Businesses can know the demographics. This data is utilized in numerous ways in analyzing and managing the competitive world. Marketers use this data for future enhancements and for social media campaigns. This makes them learn everything about targeted customers and reach them effectively.

Control of Online Reputation

Despite having valuable big data, online reputation can be broken based on your customer expectations. Irrespective of the data you have at your fingertips, a bad product can cripple your brand’s online reputation. Big data technologies make you understand these by practising sentiment analysis. By utilizing these tools and customer reviews to heart do as many alterations as you want for the product and continuously improve your contributions.


Organizations around the world are facing problems with overload information. The major concern above all is the security of data. Gigantic amounts of data are being evolved every moment and it becomes a daunting task to protect from hackers. These breaches are very expensive, especially for small businesses. Hence you have to secure this data anyhow. Otherwise, it becomes hard to gain clients trust. How to protect the data then? Big data has a solution for this. Big data technologies and hosting partners offer a secured system which can be mapped to the whole data terrain and assess any internal ransomware. This enables you to have 16 digit numbers and protect against fraudulence.

Improve operations

You have collected much of the data over the years and analyzed it effectively. But, there is a way to make your operations much more streamlined. Big data provides businesses to have predictive analysis to create targeted marketing campaigns. For instance, with big data, you can predict how many consumers are likely to purchase your data on a summer weekend and help you in placing campaigns accordingly. It can inform your customers about the cost of sales and helps in making purchasing decisions better.


Big data helps businesses to have new avenues. Use big data to outperform the competitors and increase the growth opportunities. In many sectors, new entrants and existing rivals use these techniques and have more informed data to compete, challenge and emulate the value by innovating new products and services which the customers like.