Big data is a trendy topic, but do you know what it really means, and why it became so important? It is in all the posts on social media, all the reviews in an e-commerce page, or even a large amount of NPS data.
In today’s video, you’ll understand the meaning of this concept, and how companies are analyzing this data in order to get insights to take meaningful decisions.
If you like the content, subscribe to the channel to be always updated about last trends in Consumer Feedback Analysis, Data Science and Customer Experience.
Today’s video is about Big Data. We have heard this term so often, but do we really know what it means and how to make sense of it? Let’s figure it out!
First of all, why do we call it “Big”? It is easy to answer this question if you continue saying “Big compared to what”? The term “Big data” usually refers to data sets that are too big compared to what humans or common software could analyze.
It is, for example, the sum of the data captured by a lot of weather sensors. Or the sum of all healthcare information aggregated by a set of wearable devices. It could also be the sum of all the news published by the users on Facebook.
We could continue with many other examples, but generally, we can describe data as “big” where the dataset has the following characteristics:
Where the quantity of generated and stored data is enormously large. Usually, the size of the data also determines the value and its potential insight.
Where the type and nature of the data are diverse. Usually, this data comes from text, images, audio, video, and other forms often mixed together.
Where the speed at which the data is generated and processed is incredibly high. It is often available in real-time. It is generated frequently and, as frequently, is handled and processed.
In short: big data is a very large amount of data, which is only insightful if analyzed with sophisticated algorithms ran by powerful computers. Its applications usually run on cloud-based infrastructures, which potentially can reach infinite computational power.
These types of algorithms, which are created to analyze this kind of data, have the goal to identify patterns that describe the dynamics of groups of items. This type of analysis creates a fertile playground for the application of other technologies and processes. Machine learning, deep learning, and neural networks are a few examples of it.
All of these together have the goal to describe the past and the present. So that we become capable of predicting the future with good precision.
The alternative to Big data is Small data. Surprisingly Small data can be even more insightful than the big version…how? Read about it here.
Wonderflow empowers businesses with quick and impactful decision-making because it helps automate and deliver in-depth consumer and competitor insights. All within one place, results are simplified for professionals across any high-UGC organization, and department to access, understand, and share easily. Compared to hiring more analysts, Wonderflow’s AI eliminates the need for human-led setup and analysis, resulting in thousands of structured and unstructured reviews analyzed within a matter of weeks and with up to 50% or more accurate data. The system sources relevant private and public consumer feedback from over 200 channels, including emails, forums, call center logs, chat rooms, social media, and e-commerce. What’s most unique is that its AI is the first ever to help recommend personalized business actions and predict the impact of those actions on key outcomes. Wonderflow is leveraged by high-grade customers like Philips, DHL, Beko, Lavazza, Colgate-Palmolive, GSK, Delonghi, and more.
Other articles you might like:
Customer experience · Apr 22, 2022
Is the Customer Experience Career for You? The Rise of CX Jobs (Incl. Salary Chart and FAQs)
“Think of customer experience as customer service on steroids” – Forbes That’s exactly what it’s like to work in Customer Experience (CX). When compared to customer service (CS), customer experience is more about proactively creating a seamless customer journey, from awareness of the brand to post-purchase. In contrast, CS is about reactively supporting customers with service/product questions and problems. This article aims to shed light on the trending and unique career path of CX and how…
Interview · Apr 15, 2022
Consumer-Centricity in Home Appliance: A VoC Interview with Massimo Paludet, Customer Care Director at De’Longhi
Our series of Voice of the Customer (VoC) interviews proudly showcases the perspectives of different industry experts on the customer experience (CX) world. It has always been an immense pleasure to support the customers with our VoC insights and gain their user feedback and leadership insights to empower our readers. Wonderflow’s Sales Account Executive, Adam Hosker, is joined today by De’Longhi Group. Specifically, we interviewed Massimo Paludet, Director of Customer Care. De’Longhi is one of…
Interview · Apr 07, 2022
Wonderstudent: Krisiana Dumi, Grant Recipient & Epicode Grad
It’s not enough, we believe, to deliver only the best experience possible to the end-users. Those with strong technical skills and talent are also deserving of the best experiences possible to succeed, particularly in academics. As such, Wonderflow’s charity, the Wonderflow Foundation has partnered with Epicode, an Italy-based coding school that’s helping to prepare those interested in an IT career. Together, we’ve been on a mission to scout students who are especially from disadvantaged families…