The importance of data mining in today’s business environment

2 min read

In most cases, those who hear the term data mining think about miners digging and looking for gold and diamonds.
Well, they are not far away from the truth. Data mining is focused on digging and gathering information chunks that are found in data. Of course, instead of shovels and other similar tools, data miners rely on BI (business intelligence) solutions.
Data mining 101
Modern businesses are complex and rely on data. This means that the amount of data has increased. This is how the phrase big data emerged. Big data is the massive amount of data that businesses and organisations have to check and analyse when they want to find useful information.

For instance, every big retailer usually has different promo sales, inventory, POS systems and other elements that make their business successful. Every individual system that we have mentioned comes with helpful data that is mineable and based on this data, business owners, and organisation leaders can make sound decisions. So, the value of data mining can be compared to diamond prices – they are always going up.

When talking about selling diamonds and other items, it’s good to know that data mining can actually improve retail different services. Namely, it is a well-known fact that retail businesses are relying on web scraping.

This specific industry has to handle tons of data and information that come from sales, customer shopping behaviour and history, input, supply, demand and other important retail indicators and services. In addition, the pricing of any item is extremely important.
Data mining is taking care of many of these activities – monitoring customer behaviour, market changes and trends, setting up the best prices for different items, categorisation of different products depending on customer behaviour
and many other things.

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Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.