Big data. You know the term. You’ve heard it countless times. Most likely, you’ve heard the phrase spoken with a negative twist.

• Big data is watching you.
• Big data knows everything about you.
• Big data isn’t your friend.
• Big data is the antithesis of privacy.

The truth of the matter is that, until the singularity occurs, big itself isn’t capable of acting against you. Big data is actually a field of analytics that aims to extract information from data sets that are too large and complex to be managed by traditional -processing software (let alone by a person).

Small to mid-sized businesses might keep job function email list of clients. Within those , there might be hundreds or even thousands of client and customer records that contain information like name, phone, email, address, company name, maybe an account number, and a few other bits of information. But those records tend to be limited in both size and scope.

Big Data vs. Data Science

Let’s discern these two terms.

First, Data Science is an umbrella term that considers all techniques and tools used for the life cycle of massive sets. Big , however, refers to the actual data sets Data Science works with.

To review:

• Big – massive sets.
• Data Science – a field that looks basic concepts to understand sem at ways to analyze, systematically extract information from or otherwise deal with sets that are too large or complex to be dealt with by traditional-processing software.

Granted, that’s a very simplistic way of viewing it, but it’s an easy way to understand the difference between Big and Science.

Now that you understand the terms, let’s examine why Science is so important to modern businesses.

 

What Are Data Scientists?

In the field of science, scientists are the magicians that make it all happen. These specialists have advanced training in statistics, math, and computer science and have extensive training in visualization, mining, and information management.

In other words, scientists can work mobile list with in ways that the average person has never considered. These skills are incredibly important to large businesses. Why? Because with those skills, scientists can help guide the business into the future and help deliver a bottom line that might not have been otherwise possible. On top of that, scientists can:

• Mitigate fraud.
• Deliver relevance on an unheard-of level.
• Help to personalize the consumer experience.

Why Is Data Science So Important to Business?

Now we’ve reached the heart of the topic: Why is science so important to business? Let’s examine some of these reasons.