Big Data can bring a huge amount of additional value to a business. But generating value through Big Data depends on much more than collecting data. It’s all about how an organisation uses Big Data to uncover new customer insights, which can then be used to make better business decisions for improved outcomes.
What is Big Data?
Put simply, it’s data that is too large or complex to be easily managed with standard databases and software. However, Big Data is a subjective term because every organisation has a unique set of requirements and capabilities. So, what is big to one organisation might be average to another.
Regardless of the size of your business, in this blog we discuss 5 of the key benefits of using Big Data that will apply to your organisation if you’re looking to optimise your Data strategy framework effectively.
Competitive advantages of Big Data in business
1) Attract and retain customers
For many organisations, this will be one of the main benefits of using Big Data. Businesses can use Big Data to quickly identify precisely what customers want or need by applying processes that observe consumer patterns. These patterns can be used to attract new customers, while retaining existing customers by triggering brand loyalty.
From an operational standpoint, poor management of business operations inevitably leads to costly issues, including a significant risk of damaging the customer experience, resulting in reduced retention rates. Applying Big Data analytics to optimise business operations in the production of goods or services will ensure efficiency and enable an organisation to fulfil customer expectations and achieve operational excellence.
2) Make campaigns more focused/targeted
Many businesses are already using Big Data and data-driven strategy to deliver products that are much more tailored to their target customers’ needs. Gone are the days of executing a brand-new marketing campaign and simply hoping for the best. With Big Data under their belts, organisations can run an in-depth analysis of customer and market trends prior to planning marketing campaigns, dramatically reducing the risk of failure.
Deeper insights powered by data enablement through Big Data, empower the creation of campaigns that are much more focused and ultimately, much more successful – especially in terms of exceeding customer expectations and building greater brand loyalty.
3) Minimise risk
An increasing number of organisations are thriving in high-risk environments across many industries, including banking and financial services. Risk management processes are vital for these organisations to survive. Big Data is instrumental in developing new risk management solutions and is helping many companies to optimise their risk management models and create smarter strategies.
4) Manage complex supplier networks
Big Data and business intelligence can provide supplier networks (B2B communities) with greater precision and deeper insights. Supply chain executives are now using data analytics as a disruptive technology, changing the structure of supplier networks to include high-level collaboration. This collaboration enables networks to apply new knowledge so that existing challenges can be addressed, while other complex scenarios within networks can be managed quickly and efficiently.
5) Enabling real-time analytics
Businesses operate in real-time and so should their analytics if they are looking to gain that all-important competitive edge. Big Data can enable organisations to derive insights into their customers’ experience and behaviour in real-time. This provides them with a better understanding of what’s happening as it’s happening, and they can take appropriate action as needed to ensure optimal user experience and business results.
How to analyse Big Data
Dufrain’s consultants provide market-leading Big Data analytics services. Find out how the benefits of using Big Data could give your organisation a competitive advantage.
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