Benefits of Real Time Data Analytics

Make decisions at the speed of your business

Better decisions do need to be faster decisions as the pace of business increases. Businesses working locally or globally need the best information continuously, more often delivered in a dashboard with immediate insights. The primary and most important benefit of real time data in the enterprise is simply being able to support decisions whenever and wherever possible.

Increase business agility and optimization

Business agility that has proven successfully in several industry sectors are the creation of small, well-informed, tightly focused teams called squads. By giving squads a mandate to act quickly so close to business operations, we enable faster and smarter responses to a changing business environment. However, this approach can only be effective if a squad has the needed data, which must continuously be kept up to date to match the team’s urgency. That’s a great use case for real-time data.

Quickly detect and address operational issues

Companies use real-time analytics to monitor the balance of incoming orders and product or parts availability so they can move quickly to increase supplies that are running short, and to detect the need for short-term contract labor if production, packaging or shipping is falling behind target.

Identity and act on short-term market changes

Industries such as stock trading is sensitive to rapid market fluctuations. Real time data is essential to business survival in these scenarios. Real time data is invaluable to all these scenarios. It’s possible to move more slowly if inventories and margins allow to take a deep breath and ride through some disruptions. However, few businesses have such luxury these days. Instead, we have had to become much smarter about using data to enable faster and more efficient monitoring of our markets.

Personalize the customer experience for online marketing

Online retails are a prime example of real time data usage and its effectiveness. Today, we are more likely to be recognized by a bot that has access to real time data from online behavior. And while the bot may not greet users, it certainly will ensure that the homepage, special offers, recommendations and, in some cases, even the color scheme reflect what it has learned about user behavior over numerous sessions. Numerous organizations use real time technology to personalize their websites and online advertising for individual customers, without people even realizing that it is working behind the scenes to serve up what they think of as the normal customer experience.

Improve customer service with up-to-date information

Customer service providers have heavily invested in real time data integration for their services and operations (Donald Farmer, 2021). For example, call center agents look up someone’s customer records, they should be able to see information on the local outage, faulty equipment, unusually high bill, canceled flight or other issue that prompted the call, right then as they’re talking with the customer. This kind of insight driven by real-time applications is standard practice now.

 

 

Keep tuned to my next post release, I would cover the topics related to Real Time Data Analytics : Tools used for Real Time Data Analytics. Come back and review this information on 1.31.2022.

 

Reference

Donald, Farmer (2021). 6 top business benefits of real time data analytics. TechTarget Network. https://searchbusinessanalytics.techtarget.com/feature/6-top-business-benefits-of-real-time-data-analytics

 

What is Real Time Analytics?

Real time data analytics enables users to analyze and draw data insights in real time. My name is Santoshkumar Pandi an experienced Data & Analytics professional with over 11+ years of experience. As a Data & Analytics leader my expertise in data engineering, business intelligence, data science and working with cross functional business functions and stakeholders would help me share great real insights on how to use Real Time Data Analytics and drive the key decisions through data insights.

Real time analytics is getting visibility to data as the transaction occurs and enters into the data storage. It lets users to see, analyze and understand data and make key decisions in real time. One of the closest use case of real time data analytics is with stock exchange data, users would like to see the market trends in real time to make key decisions of buying or selling stocks. Real-time analytics allows individuals and businesses to react without delay. They can seize opportunities or prevent problems before they happen.

By comparison, batch-style analytics might take hours or days to yield results. Usually, batch analytical applications or tools would yield only “after the fact” insights. Real-time analytics would help to get ahead of the curve.

 

How do Real Time Analytics Work?

Real time data analytics tools or solutions can push or pull data. The response time for real time analytics tools can vary from nearly instantaneous to a few seconds or minutes (Sisense, 2022). Trading platforms would need to respond to new information within seconds. Retail products can get by with a minute between updates.

The components of real-time data analytics include:

  • Aggregator — Compiles real time streaming data analytics from many different data sources.
  • Broker — Makes data in real time available for use.
  • Analytics Engine — Correlates values and blends data streams together while analyzing the data.
  • Stream Processor — Executes real time app analytics and logic by receiving and sending data streams.

 

Who Uses Real Time Analytics?

  • Real time stock platforms, e-commerce retailers, financial banks to decide immediately on the moving trends of data and take key decisions.
  • Targeting individual customers in retail outlets with promotions and incentives, while the customers are in the store and next to the merchandise.
  • Customer relationship management (CRM), maximizing satisfaction and business results during each interaction with the customer.

 

Keep tuned to my next post release, I would cover the most important topics related to Real Time Data Analytics : Benefits of Real Time Data Analytics. Come back and review this information on 1.24.2022.

 

References

Sisense. (2022, Jan 22). Real-time-analytics. Sisense. https://www.sisense.com/glossary/real-time-analytics/