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//Essential Techniques in Data Mining

Essential Techniques in Data Mining

Companies can achieve a great deal of success by adopting different business strategies and solutions. However, no matter what strategy you use, if you don’t have the necessary information at hand, you won’t be able to make the right business decisions. This is where data mining shines.

When done right, data mining will provide you with the right information you need to create better business strategies, identify and leverage opportunities, and plan ahead. So, what exactly is data mining? Read on to understand what it is exactly and why you shouldn’t downplay its advantages.

Data Mining, Explained

Businesses have to consistently deal with large amounts of data. Data can be any type of information a company can access such as customer profiles and market statistics. It can also come from internal and external sources. However, having plenty of data doesn’t guarantee success. You must have the ability to access it and gain the insights you need for data to be useful.

Enter data mining.

Data mining allows businesses to extrapolate or “mine” the most relevant bits of information from a sea of data. It can be viewed as the process of analysing data from different perspectives and summarising the results leading to useful information.

Explained further, data mining involves looking at different types and sources of information and connecting the dots to help solve an issue or answer a specific question. Effective data mining can lead to accurate prediction of customer behaviour, automated decision-making, and the ability to identify useful customer insights. Certain data mining techniques can help businesses secure these benefits and more, such as the ones below.

Classification

The most commonly used data mining technique is classification. Classification involves the grouping of data elements into data sets that share a certain feature. For example, items such as cat bowls, cat food, cat litter, and catnip can be classified into a larger category labelled “cat items.”

Applying this method to complex sets of data can help data miners see what is relevant and what is not. The overall goal here is to find bits and pieces of information that can be correlated to produce useful information.

Association

Data association is one of the most basic techniques in data mining. It involves finding pieces of specific information which can be correlated and associated with each other to gain useful and actionable insights. For example, in a supermarket setting, it could be in the form of knowing that people who buy product A often purchase product B after. Association is also similar to another useful data mining technique: tracking patterns.

Tracking Patterns

As mentioned earlier, data mining involves seeing patterns in your data sets. If one is keen on observing pieces of information that complement or are related to each other, a trend or flow might be determined. For example, the fact that more people are buying specific items during certain months or seasons from a particular store location can already be seen as a pattern in your data. You can then create better seasonal campaigns or ads, or plan product releases better based on this data pattern.  

The patterns revealed can also be used by data miners and analysts to help predict things such as purchase behaviour and market trends—this, in itself, is another data mining technique.

Prediction

Prediction is one of the most important data mining techniques. It is used to forecast possible outcomes that are relevant to a business based on data gathered and analysed. A data miner can better predict future trends and behaviour by analysing and collecting data such as historical trends and patterns. The predictions and estimates formulated based on the information gathered are important to a business’ future growth and success as it gives managers and owners the ability to know if they should revise current strategies, create better plans, and make the right decisions based on data.

When it comes to data mining, don’t depend solely on internal data your business already has. For example, you can turn to social media if you want to target customers better or determine their wants or needs. Customer feedback or activity in the form of posts, reactions, and comments on your brand’s social media profiles can yield important information you can use to target the right people or improve your products and services.

Get the Data You Need Now

When you apply the aforementioned techniques the right way, you will be able to analyse and leverage the data you have to formulate better plans and strategies moving forward. However, if you want to realise data mining’s full potential, you need the right personnel and tools—both of which we at Forward BPO can provide.

Forward BPO is an outsourcing company that caters to clients from the US, AU, UK, and NZ. We provide different outsourcing services and business solutions such as live chat support, call center services, inbound and outbound marketing, bookkeeping, after-hours call and answering, and data mining. We’ll help your business reach new heights by providing the right personnel, platforms, and services based on your business needs, goals, and situation.

Interested in knowing how we can help your business move forward? Contact us now for more info.

By |2019-05-03T02:13:46+00:00May 3rd, 2019|Categories: Blog|0 Comments

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