But to do this, we need to collect data. The key concept in all of this is data. It must be relevant, actionable and quantifiable for your organization's goals.
In other words, we live in a digital world, with a huge volume of information and data…but not all of it is useful to us.
Don't wait any longer! We'll australia email address list tell you all about Data Science and how it can help your business. Keep reading and take note!
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What is Data Science?
Data Science is the study of where information comes from, what it represents, and how it can become a valuable resource in creating a company's strategies.
Data science employs mathematical, statistical and computer science disciplines, and also incorporates techniques such as machine learning, data analysis, data mining…
Mining large amounts of structured and unstructured data to identify patterns can help a business control costs, increase efficiency, recognize new market opportunities, and increase the organization's competitive advantage.
You're probably wondering, why make this difficult for me? The answer is quite simple.
Traditionally, the data we used to have was mostly structured and small in size, which could be analyzed using simple tools.
Today, a larger percentage of data is unstructured or semi-structured, meaning it comes from a variety of sources . To manipulate and work with this type of data, we need more complex and advanced analytical tools and algorithms to process, analyze and extract meaningful insights from it.
This is where Data Science offers us new concepts to achieve the most valuable information . Let's see what they are!
Data Mining
Data mining is the methodology that allows extracting useful data and information from a larger set of data with no apparent value, with the aim of generating models that make it possible to find patterns, classify, segment or associate products.
Data Mining works primarily with a large volume of unstructured data without any obvious relationship. Through different techniques, algorithms and software, certain valuable results and conclusions are reached.
For a better understanding, we list the different steps involved in a Data Mining process :
Data collection : First, data is collected and integrated from all the different available sources (forms, scraping, APIs..).
Data Selection : In this step, we select only those data that we consider useful for data mining.