Six Ways Big Data Is Helping Small Businesses Compete With Bigger Ones


As we live in a data-driven world, businesses use and benefit from big data. By analyzing big data, companies can make informed decisions with the help of trends, facts, and statistics.

Additionally, a business leader needs suitable software to sift through all the noise and track down the correct information in the digital age.

Having this information is essential for making intelligent decisions, putting together winning strategies, and allowing for rapid growth.

However, big data is more than just information. Using it can help develop business strategies and practices suited for your business nature.

You can use these statistics to make informed decisions and increase the efficiency of your business processes.

In short, by adequately utilizing big data, you can easily take your small business to the next level making it possible to compete directly with the big boys.

On this note, let’s look at how big data is facilitating small businesses to thrive.

Ways Big Data Is Helping Small Businesses

Here are some crucial roles big data plays in business development today.

  1. Knowing Your Customer’s Needs

By analyzing big data, small businesses can better understand their customers, including what makes them buy, what makes them shop, which products they prefer, their next purchase, and why they recommend the company to others.

Every growing company knows Big Data Is Big Business because incorporating consumer feedback/stats and information into a product or service can help companies engage and interact with clients.

Therefore, companies leave no stone unturned when gathering data. They use all data sources, such as traditional internal data (sales data and customer service logs).

Companies also use digital data from social media, browser logs, text analytics, and large, publicly available data sets (such as census data) to gain more in-depth information about user habits and buying decisions.

Social media has become a precious data source, allowing businesses to identify niche markets and analyze customer feedback quickly and cheaply.

In contrast to most platforms, Twitter, where almost all conversations are held in public, is easier to mine.

  1. Finding the Right Personnel

Regardless of your company’s size, you cannot run it on your own. A team of qualified people can consistently add value to your business. Furthermore, they need to be able to work seamlessly together to help you get to the next level.

Nevertheless, hiring the right people can be a complex process. By using big data, candidate profiles can be gathered from social media and corporate websites. As a result, HR can quickly identify and hire the best applicants for the company.

  1. Optimize the Sales Process

By using customer analytics, entrepreneurs can target the right audience at the right time. McKinsey reports that companies that invest in big data see their operating margins increase by 60%.

This data can help marketers increase their sales by encouraging better customer responsiveness.

In addition, big data can also provide accurate insight into the market’s size and changes in current trends and potential growth opportunities.

A segmentation-based sales strategy, for example, can help marketers develop more effective marketing campaigns.

When armed with big data insights, sales representatives can also recommend items aligned with customers’ preferences and order histories.

Consequently, companies can enhance their existing products and services and increase their profits.

  1. Developing a Business Model That Works

Using data in your business model can lead to new opportunities for revenue generation. Facebook, for instance, is free to use, but it has historically generated revenue from advertising.

Companies make that information available to businesses with all the information about their users. Some form of data is available for free in some cases, but some will have to be paid for, offering Facebook a new revenue stream.

In the same way, small businesses now have many opportunities to monetize their data by providing value-added services or selling data to customers or third parties.

Nowadays, many companies use data from inbuilt sensors to dynamically adjust maintenance cycles based on how often their customers use their products.

  1. Increasing Efficiency

Business processes and everyday operations are also increasingly optimized using big data. Any procedure where data is generated (for example, machines on production lines, sensors on delivery vehicles, customer ordering systems) can be used to improve operations and create efficiencies.

Manufacturing and industrial companies can upgrade their machines, vehicles, and tools to be ‘smart,’ which means that they can be connected, data-enabled, and constantly report their status to each other.

Organizations can gain real-time visibility into their operations and improve efficiency by analyzing this data.

With the help of social media data, web search trends, and weather forecasts, retailers can optimize their stock keeping. These stores can stock up on the most popular items, increasing sales and reducing the amount of unsold stock.

The use of big data analytics has also been used to optimize supply chains and delivery routes. In this case, tracking goods or delivery vehicles is done with GPS and vehicle sensors, integrating real-time traffic data to optimize routes, etc.

  1. Identifying Market Trends

The ability to spot and monitor behaviors and patterns allows us to predict how things will turn out, how the demand for our products and services will change over time and the factors that trigger those changes.

It used to be that trend analysis and forecasting were based on gut instinct. Today, big data is taking a lot of the guesswork out of that process.

Facebook and Twitter are buzzing with topics every day, making it easier to figure out what people want. Businesses can use trend data compiled by Trendera and Trend Hunter to answer specific questions.

It is possible to measure customer behavior in retail to microscopic detail, even down to the way someone walks around the physical and online store.

A detailed assessment of what and when people buy can be assessed by data. This analysis includes external information, such as the time of year and the economic conditions.

Final Words

The first step to big data analytics in small companies is to take advantage of all the data we now surround ourselves with and that other companies make available to us.

Small businesses cannot afford to ignore the big data revolution. To take advantage of the opportunities and threats presented by the global data explosion, every small and medium-sized business should develop a big data strategy.


Scoop Sky is a blog with all the enjoyable information on many subjects, including fitness and health, technology, fashion, entertainment, dating and relationships, beauty and make-up, sports and many more.

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