Back to Blogs

How Is Real-Time Data Analytics Helping in Increasing Business Revenue?

real time analytics for business
Published on Jun 03, 2022

Real-time analytics is a method of analysing data using logic and mathematics. For some implementations, real time practically means that the analytics are done within seconds or minutes. It helps to generate new business models, boost customer insights, and be one of the key catalysts driving a revolution in marketing, manufacturing, and service. It provides the insights that help people make better decisions faster. 

Businesses of all sizes will be able to benefit from real-time intelligence by utilising business analytics solutions, from the algorithms they utilise to the apps they power. We'll show you ten different ways that real-time analytics is driving these developments. One of the most valuable characteristics of great firms is real-time business analytics. 

In an increasingly competitive world, no business owner can afford to ignore the opportunity to expand. Despite this, the great majority of them are still not making full use of their data. To keep updated, more businesses are investing in real-time data analytics, which makes all the data available for analysis, interpretation, and visualisation.  

Following are the ways real-time data analytics helps in increasing business revenue - 

  1. Improving the performance of the business by using real-time analytics. 

Improved forecasting accuracy and matching delivery dates are one of the most useful insights business analytics can bring for manufacturing organisations. Perfect order performance increases, revenues increase, and costs decrease when manufacturing intelligence systems are built to give real-time data for each step-in order and product fulfilment. Out from the sales floor to the top of the building, real-time business analytics linked into industrial intelligence solutions are changing production centres. 

  1. Increase flexibility and optimisation 

It's easy to believe that quicker decision-making means more flexibility in the workplace. Company agility, on the other hand, isn't only about making decisions; it also includes your strategic and tactical business objectives. When you should be making multiple kinds of decisions, immediately choosing amongst possibilities isn't helpful. 

You allow faster and — presumably — wiser reactions to a changing business environment by providing teams the authority to act rapidly so close to your operations. However, this strategy can only work if a team has the necessary data, which must be updated on a regular basis to meet the team's urgency.  

  1. Personalise the customer experience 

Real-time data offers innovative and more successful consumer experiences, as seen in online retail. You can delve deep into consumer behaviour and monitor what is and isn't working to your company's advantage if you have information and insights about client behaviour. 

Many companies use real-time technology to tailor their websites and online advertising for specific clients without their knowledge, and they do it without even realising it. 

  1. Increase in Sales and Revenue  

When producing estimates for new and current clients, sales teams frequently stick to the most popular product combinations and choices. Actual-time business analytics is allowing sales teams to be guided by even little changes in product configurations, upsells, and cross-sells, all of which have a significant influence on revenue. Adding real-time analytics to selling apps boosts income right away.  

  1. Increase customer retention  

Customers, both B2B and B2C, increasingly anticipate real-time replies to their requests and transactions, according to several academic and business research. These expectations are fuelled by Amazon, Facebook, Twitter, among other social networking and high-performance eCommerce sites. Real-time analytics is necessary for any firm to compete since it drives revenue. 

  1. Quickly detect and address operational issues 

Companies also utilise real-time analytics to track the status of incoming orders and product or part availability so that they may swiftly replenish supplies that are running low, as well as detect the need for short-term contract labour if manufacturing, packing, or shipping are going behind schedule. 

You may act accordingly since you can test how changes will influence your business' procedures in real-time. You'll be able to tell if there are any issues or bad impacts as you make changes, and you'll be able to revert and try again without causing too much harm. 

  1. Improve customer service with up-to-date information 

Real-time analytics requires organising and arranging processed data streams. This makes it feasible to combine all an organisation's data into a single system. This makes information much more accessible, and the time previously spent gathering data from numerous sources is decreased. 

Many firms are dealing with employees that use various networks, devices, and communication platforms as a result of today's remote working culture. Real-time analytics provides insights into all data sources, allowing for instant issue solutions by seeing everything on a single dashboard. Netflix saves $1 billion each year (techjury) on user retention thanks to big data. 

  1. Increase in productivity and ROI 

Real-time analytics can help in making firm and better decisions quickly. Real-time analytics may help firms not only remain ahead of the competition but also boost productivity and return on investment. 

Businesses are required to take immediate actions on issues that arise on priority. Real-time analytics allows organisations to take quick action, allowing them to be proactive and seize opportunities or avert issues before they occur. This type of knowledge is already commonplace, thanks to real-time apps. 

Big Data Analytics

The world of business is changing, and old management practises are no longer adequate. Many things have changed because of evolution, including the methods for producing money through diverse company tactics. The worldwide big data analytics market is estimated to be valued USD 549.73 billion in 2028, with a CAGR (Compound Annual Growth Rate) of 13.2% (Techment) from 2021 to 2028. 

Big Data is defined as data that contains a large amount of information that cannot be handled using traditional methods. It aids data management and allows you to make strategic decisions. Big data can help with everything from customer service to business operations. 

Businesses have been gradually shifting to Big Data over the last few years. This change from traditional methods to Big Data is due to its ability to increase corporate income. Forward-thinking employees use quickly expanding analytics tools to manage their workforces and increase profitability and productivity. By 2023, the big data analytics industry is expected to reach $103 billion (techjury). 

Most today's businesses are data-driven and have automated most of their procedures. Technologies such as machine learning and smart personal assistants benefit to the business. Big data benefits every division in a firm. Today, big data analytics is the guiding premise behind all strategy execution. The following are the benefits -   

  • Improvised Management 

  • Encouraging Personalisation 

  • Hike in Sales 

  • Proper Arrangement of Data 

  • Efficient Advertising 

  • Organisational costs are reduced. 

  • Brand loyalty can be maintained. 

  • Workforce productivity and efficiency is increased. 

  • Awareness about the Buyer Behaviour 

  • Business strategies can be built based on analytics insights. 

Read- What is predictive web analytics and how is it changing the approach toward web analytics?

To sum up  

The impact of real-time business analytics on worldwide sales has already been enormous. They have changed almost every facet of what it means to run a contemporary business. Big Data and real-time data analysis assist in effortlessly overcoming this transformation while ensuring that your company's growth reaches new heights. Analysis is beneficial in a variety of ways, making it an excellent tool to invest in. 

Decision-makers may not only receive a comprehensive image of their business but also diagnose their own professional troubles thanks to tools like KPIs (Key Performance Indicators), heatmaps, and advanced analytics models. Real-world enterprises require real-time information. If you do not do it, your competitors will, and you will lose sales to them. 

If your organisation has not yet invested in business analytics software, SG Analytics can assist you in selecting the best solution from hundreds of providers. We provide real-time data analytics services which helps in increasing business revenue. The company has a team of big data analytics experts who help businesses make sense of their data and use it to make better decisions.  Contact us today if you are an enterprise looking to make critical data-driven decisions to prompt accelerated growth and breakthrough performance.