Big Data Explained in Less Than 2 Minutes - To Absolutely Anyone
Bernard Marr
?? Internationally Best-selling #Author?? #KeynoteSpeaker?? #Futurist?? #Business, #Tech & #Strategy Advisor
There are some things that are so big that they have implications for everyone, whether we want them to or not. Big Data is one of those concepts, and is completely transforming the way we do business and is impacting most other parts of our lives.
It’s such an important idea that everyone from your grandma to your CEO needs to have a basic understanding of what it is and why it’s important.
What is Big Data?
“Big Data” means different things to different people and there isn’t, and probably never will be, a commonly agreed upon definition out there. But the phenomenon is real and it is producing benefits in so many different areas, so it makes sense for all of us to have a working understanding of the concept.
So here’s my quick and dirty definition:
The basic idea behind the phrase 'Big Data' is that everything we do is increasingly leaving a digital trace (or data), which we (and others) can use and analyse. Big Data therefore refers to that data being collected and our ability to make use of it.
I don’t love the term “big data” for a lot of reasons, but it seems we’re stuck with it. It’s basically a ‘stupid’ term for a very real phenomenon – the datafication of our world and our increasing ability to analyze data in a way that was never possible before.
Of course, data collection itself isn’t new. We as humans have been collecting and storing data since as far back as 18,000 BCE. What’s new are the recent technological advances in chip and sensor technology, the Internet, cloud computing, and our ability to store and analyze data that have changed the quantity of data we can collect.
Things that have been a part of everyday life for decades — shopping, listening to music, taking pictures, talking on the phone — now happen more and more wholly or in part in the digital realm, and therefore leave a trail of data.
The other big change is in the kind of data we can analyze. It used to be that data fit neatly into tables and spreadsheets, things like sales figures and wholesale prices and the number of customers that came through the door.
Now data analysts can also look at “unstructured” data like photos, tweets, emails, voice recordings and sensor data to find patterns.
How is it being used?
As with any leap forward in innovation, the tool can be used for good or nefarious purposes. Some people are concerned about privacy, as more and more details of our lives are being recorded and analyzed by businesses, agencies, and governments every day. Those concerns are real and not to be taken lightly, and I believe that best practices, rules, and regulations will evolve alongside the technology to protect individuals.
But the benefits of big data are very real, and truly remarkable.
Most people have some idea that companies are using big data to better understand and target customers. Using big data, retailers can predict what products will sell, telecom companies can predict if and when a customer might switch carriers, and car insurance companies understand how well their customers actually drive.
It’s also used to optimize business processes. Retailers are able to optimize their stock levels based on what’s trending on social media, what people are searching for on the web, or even weather forecasts. Supply chains can be optimized so that delivery drivers use less gas and reach customers faster.
But big data goes way beyond shopping and consumerism. Big data analytics enable us to find new cures and better understand and predict the spread of diseases. Police forces use big data tools to catch criminals and even predict criminal activity and credit card companies use big data analytics it to detect fraudulent transactions. A number of cities are even using big data analytics with the aim of turning themselves into Smart Cities, where a bus would know to wait for a delayed train and where traffic signals predict traffic volumes and operate to minimize jams.
Why is it so important?
The biggest reason big data is important to everyone is that it’s a trend that’s only going to grow.
As the tools to collect and analyze the data become less and less expensive and more and more accessible, we will develop more and more uses for it — everything from smart yoga mats to better healthcare tools and a more effective police force.
And, if you live in the modern world, it’s not something you can escape. Whether you’re all for the benefits big data can bring, or worried about Big Brother, it’s important to be aware of the phenomena and tuned in to how it’s affecting your daily life.
What are your biggest questions about big data? I’d love to hear them in the comments below — and they may inspire future posts to address them.
Thank you for reading my post. Here at LinkedIn and at Forbes I regularly write about management, technology and the mega-trend that is Big Data. If you would like to read my regular posts then please click 'Follow' and feel free to also connect via Twitter, Facebook and The Advanced Performance Institute.
Here are some other recent LinkedIn posts I have written on the topic:
- Big Data: 25 Eye-Opening Facts Everyone Should Know
- Big Data: The Predictions For 2015
- Big Data: The Key Vocabulary Everyone Should Understand
- Big Data: The Key Skills Businesses Need
- Big Data: The 4 Layers Everyone Must Know
- 10 Awesome Ways Big Data Is Used Today To Change Our World
And here are some Forbes articles I have written:
- Meet 7 Brand New Big Data Billionaires
- Big Data: The Winning Formula In Sports
- 7 Attitudes That Kill Big Data Projects
- Where Big Data Projects Fail
About : Bernard Marr is a globally recognized expert in big data, analytics and enterprise performance. He helps companies improve decision-making and performance using data. His new book is Big Data: Using Smart Big Data, Analytics and Metrics To Make Better Decisions and Improve Performance'.
You might also want to watch this 2 minute video introduction to big data:
I originally wrote this post for IBM for Midsize Business. To read more on this topic, visit IBM’s Midsize Insider. Dedicated to providing businesses with expertise, solutions and tools that are specific to small and midsized companies, the Midsize Business program provides businesses with the materials and knowledge they need to become engines of a smarter planet.
Photo: Shutterstock.com
Head of IT Development and IT Systems Development
6 年I truly appreciate your work It gave me deep insight on big data term
?? IoT Specialist ?? Connected Products ?? Connected Vehicles ?? Digital Twin ?? Industrial IoT??Design Thinker ???GenAI Enthusiast
7 年Brilliantly summarised the basic phenomenon of "Big data" but I am still unsure of the use cases. Will be great if you could write about the use cases as well.. The live ones in the market.. Thank u!!
Telecom Specialist | Sr. Business Account Executive
7 年"The biggest reason big data is important to everyone is that it’s a trend that’s only going to grow. " This is a terrible reason for being important. I don't want to be a trend. I want to be everything else.