Analytics uses the latest technology to process these massive amounts of data and provide businesses with valuable insights and information. Big Data is a huge amount of data that cannot be process with conventional methods or tools. The data scenario of some industries or institutions stores exorbitant volumes of information about their processes, sales, and market scenarios. We use our phones to track our fitness and health, data is collect by smart devices, retailers keep track of their stock through RFID, and product usage data is collect by smart washing machines, TVs, and other smart home appliances.

All this data that various

Devices and sensors are generating nes to be process. Only in the last decades, the advancement of hardware has allow. The appearance of algorithms that extract information from this data in this volumetry. Transforming South Korea Email List databases that were previously unmanageable into very powerful sources of information. Why use advanc analytics in business? Today, it’s more important than ever to understand your customers, operations and business, and how they interact with your brand. Companies that place a high value on customer experience deliver that experience much more effectively when they know what their customers want and where their pain points lie. Proprietary analytics help you better understand your customers.

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Let’s say you have a retail business

And you want to better understand your customers. Your POS data will tell you things like the average spend per customer, how many items customers buy, which items are selling well, which items are not Singapore Lead elling, etc.  Your staff training and customer service approach. You can see what items customers are having a hard time finding in your store, their preferr payment method, and more. All this will help you better serve your customers and increase your sales. Types of advanc analytics Cohort Analysis – A cohort analysis is a method of analyzing user behavior by grouping users bas on specific criteria, such as the time they first logg on.

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