Kaveh Akrami

CTO & IT Manager

Country Manager & Coordinator

Product Owner & manager

Data Scientist & Engineer

IOT Researcher & DevOps

Branch Officer

Kaveh Akrami

CTO & IT Manager

Country Manager & Coordinator

Product Owner & manager

Data Scientist & Engineer

IOT Researcher & DevOps

Branch Officer

Blog Post

The importance of data mining

November 16, 2018 Data Engineering
The importance of data mining

Data mining is not a new term, but for many people, especially those who are not involved in IT activities, this term is confusing

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

Modern businesses are complex and rely on data. The importance of data mining is unignorable.
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 organizations have to check and analyze when they want to find useful information.

>See also: Predictive analytics: good governance holds key to accurate forecasting

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.

>See also: Asset managers – where is the big data revolution? 

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.

Of course, data mining affects other industries too including telecom industry, biomedical research, educational organisations etc.
we notice about the data mining benefits for businesses here!

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