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big data

What is Big Data?

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Definition of Big Data

Big Data is a common term for a collection of information, which is considerable in scale and can be used for commercial or other purposes.

What is it used for ? The answer is simple: Big Data aims to collect, store and analyze large-scale and extremely complex data. The information from this collection is used by companies to improve their marketing strategies, sales, production of commercial information and price optimization. Big Data can also be used by investors to analyze a company's costs and profits based on the size of its database.

The history of Big Data

Big data has spread across the world in the technology world since the 2000s. It has become an essential technology for businesses and administrations, which use this technology to improve the quality of life of users, fight against computer attacks and improve the overall performance of their systems.

Although the concept of big data itself is relatively new, the origins of big data date back to the 1960s and 1970s, when the world of data was just beginning with the first data centers and the development of the database. relational.

Around 2005, people began to realize the relevance of user-generated data through Facebook, YouTube, and other online services. Hadoop (an open-source framework created specifically for storing and analyzing large data sets) was developed the same year. NoSQL became more popular around this time too.

With the advent of the Internet of Things (IoT), more and more objects and devices are connected to the Internet, collecting data on customer usage habits and product performance. The emergence of machine learning has produced even more data.

Although Big Data has come a long way, its usefulness is only just beginning. Cloud computing has further expanded the possibilities of Big Data. The cloud offers truly flexible scalability, where developers can simply create ad hoc clusters to test a subset of data. Furthermore, graph-oriented databases are also becoming increasingly important, with their ability to display enormous amounts of data in a way that makes analyzes quick and comprehensive.

Some big data use cases

Big data is a collection of structured and unstructured information collected from different sources to create an integrated body of knowledge. For example, big data can be used to predict future trends based on historical patterns. Big data allows us to make summaries by analyzing past events, then use this information for future predictions.

Advertising

The most obvious use case for big data is advertising. You can use it to find out who your customers are, where they live, what they like and what worries them. You can also target them with ads tailored specifically to their interests and preferences.

Product development

Large companies in the entertainment industry use big data to anticipate the needs of the public. They build predictive models for new products and services by ranking key attributes of past and current products or services and modeling the relationship between these attributes and the commercial success of offerings. Additionally, P&G uses data and analytics from focus groups, social media, test markets, and early in-store rollouts to plan, produce, and launch new products.

Client experience

Big data can be leveraged to gauge customer satisfaction and set performance goals. It makes it possible to determine if the commercial offers are relevant, if the marketing is well positioned on the products and services available and if the customer relationship is still as constructive.

A clearer view of customer experience is more possible than ever. Big Data allows you to collect data from social media, web visits, call logs and other sources to improve the interaction experience and maximize the value provided. Start delivering personalized offers, reduce customer churn, and proactively handle issues.

This article explains the importance for a company to adapt to digital innovation.

Big Data: how does it work?

Big data is produced by many different sources such as social media, search engines, mobile devices, sensors, etc. It has become so common for businesses to have access to large amounts of data that they no longer even realize it.

Big Data is produced when an organization collects, stores, analyzes and makes sense of enormous amounts of information.

Google Search is one of the most popular and successful examples of Big Data. The company collects billions of search queries, allowing it to track trends and anticipate user needs. The Google Search team uses this information to make changes and improve its services.

Google's technology has become so advanced that they can literally know what you're thinking before you even type it. This is called predictive analytics and it allows them to understand how users interact with their services and provide better results for everyone.

Interest of Big Data for small businesses

It's a new era for small and medium-sized businesses. Big Data is a reality for everyone. The reason why it is important for your business to use Big Data is that it will help you make better decisions. For example, if you are researching what type of product to launch, with big data in your possession you will know more precisely what the demand is and how many people are ready to buy that particular product.

You don't have to be a large company to benefit from the benefits of Big Data. This is something that can be used by any small business or even an individual who has access to an internet connection and computer hardware. The only thing you need is an idea of what kind of data you need for your business to grow better.

Geekworkers, a Swiss SEO agency, uses Google Search Console and Google Analytics to improve the positioning of its clients' websites on search engines.

The company uses Google Search Console to carry out a UX audit, detect and troubleshoot the anomalies of a website, likely to penalize it in the search results. Then, she uses Google Ads Keywords Planner to determine targeted keywords adapted to her client's SEO strategy, in order to improve the SEO of her site.

You too, use our services to gain visibility on the web.

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