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How Small Businesses can Benefit from Real-Time Data Analytics

Blog: Indium Software - Big Data


Today, a dissatisfied customer will not take time to switch loyalties.

It goes without saying that if a business wants to prosper, they must put their act together through data analytics by collecting and managing data at every point of the customer interaction to be able to give best-individualized experience.

In the course of interaction of an advanced customer analytics ensures that data that is unique to the user can be collected at various stages, be it usage of mobile apps, social media interaction and a lot more

The company should be able to use this information through big data analytics tools to give the best user experience, something that will go a long way to sustain clientele and to beat the competition.

Is Big Data Analytics Different from the past?

Earlier we were following the ETL model of data handling. ETL stands for Extract, Transform and Load.

The data was captured by systems primarily to obtain reports from past actions. Different methods are used to load variety of files into a huge database that generates desired actionable reports.

But this was instead a rigid system, which was unable to take care of multiple data streams especially in large volumes.

The systems were also not able to change the input info on a real-time basis and were more suited to respond to fixed queries.

But Big Data analytics has changed it all. Now by using advanced analytics, companies can decide better.

Data Analytics has enabled improved reporting interface structures, better data extraction capabilities, automatic file handling protocols, the creation of highly indexed data streams and above all, the capability of cloud hosting and blockchain technology to run and control a large system on a real-time basis.

All this boils down to better business decisions thereby improving sales and marketing effectiveness and at the same time reducing costs and eliminating wastages for all digital businesses.

The companies can derive significant benefits from data analytics services to get positive outcomes for the business and customers while ensuring a high level of data protection. The most important advantages of advanced analytics are:

1. Proactive Approach

According to a report by Compliance, Governance and Oversight Counsel, 60% of data carries little or no value. Most data lose their value if not contextualized in real-time, so it’s essential for businesses to make data available in real-time with the lowest latency possible and scalable capacity.

When sharing info, the only expectation that the customers have is to understand their requirement correctly and to give seamless interaction at all stages of interaction by doing so companies can improve the customer experience, a sure shot way to forge lasting relations.

2. Offering Right Product

Efficient data analytics and collection helps businesses to understand the changing technological demands of the market to be able to position the right product or services at the right time.

3. Customized Service

Today customer behaviors are incredibly volatile and unpredictable coupled with lots of options available for them to choose.

The only way to gain them is to offer personalized response and make them feel personally valued.

Using the Big Data analytics, it is possible to create interactions best suited to the customer type and personality.

For this, the system should be able to capture the customer attitudes, their location and preferences to offer a customized response in a multi-channel environment.

4. Improving Operation Efficiency

Data analytics helps in understanding, designing and optimizing the products at highest efficiency, that is capable of meeting customer needs and expectations.

The Big Data solutions help in improving field operations, enhancing productivity and thereby minimizing costs and improving margins.

The powerful real-time data analytics creates following operational advantages:

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The post How Small Businesses can Benefit from Real-Time Data Analytics appeared first on Indium Software.

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