LeBigData celebrates its 250000 visitors

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LeBigData celebrates its 250000 visitors! Thank you all!

During the month of September 2019, LeBigData.fr received more than 250000 unique visitors. An important milestone was reached for the site, and we wanted to thank each and every one of you.

Back in October 2015. At that time, Big Data is on everyone’s lips . Big data is a buzz in the tech world, as companies in all industries begin to realize the potential of this revolutionary technology.

That’s when we decided to create LeBigData.fr: a website aimed at enabling as many people as possible to discover what Big Data is , and how data collection and analysis will change the world.

Subsequently, we have also decided to address other technologies directly related to Big Data : Cloud Computing , which meets the growing need for data storage, Machine Learning , which enables artificial intelligences to be created through data, and much more

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LeBigData.fr received 250000 unique visits in September 2019

 

However, by launching this project, despite our fascination for these technologies, we never thought we would gather so many readers. With over 250,000 visitors in September 2019, LeBigData.fr has just crossed a milestone.

Today, our site has become the French reference for Big Data . We are proud of it, and we thank you for it.

It is with the same passion that we will continue each day to relay the news of big data, and to warn you of the dangers that threaten the security of your personal data in a world where data occupies an increasingly important place.

While waiting to reach the million visitors monthly, a big thank you to all and especially to our most loyal readers ! On the way to new “data-driven” adventures!

 

Business Intelligence: What are the business intelligence tools?

 

The Business Intelligence collects extensive data analysis applications, reporting, online analytical processing (OLAP), mobile BI, BI real-time operating BI of software as a service (SaaS) , and open source BI .

BI technologies also include data visualization software for drawing graphics and other infographics, or tools for creating dashboards and scorecards to display visualized data in the form of performance indicators and metrics. ‘business. These applications can be purchased separately from different vendors or as a unified platform from a single vendor.

The IB programs can also incorporate advanced forms of analysis such as data mining, predictive analytics , text drilling, statistical analysis or Big Data analysis . In most cases, however, advanced analytical projects are conducted by separate teams of data scientists, statisticians, predictive modelers, or other experienced professional analysts. BI teams usually take care of simpler projects.

 

Business Intelligence or Business Intelligence: What is Business Intelligence?

 

The decision chain is the chain of information processing that transforms the data collected into information that can be used for decision-making purposes. This chain consists of elements and tools that are often presented in four distinct categories. Each of these categories corresponds to a phase of the process.

The first step in the decision-making chain is the collection of data . It involves extracting data from different sources of the company (production systems), transforming them, and uploading them to the database. This is called the “ETL” process (Extract, Transform, Load), which allows the data to be adapted for decision-making purposes.

The second step is that of data storage , or data modeling. It is a question of centralizing structured and processed data so that they are available for decision-making, easy to analyze. To do this, the data is stored in a Data Warehouse or a Data Mart: a specialized database adapted to decision requests.

The third step is the distribution or restitution of the data . It consists of using different tools to render the information in a form that can be used for decision-making. In particular, we will use reporting tools, access portals to dashboards, navigation tools in cubes, or statistical tools. Decision portals such as the EIP Enterprise Information Portal also help to distribute information to all partners.

The fourth and final step in the decision-making chain is data mining . Cleaned, consolidated, accessible and stored data is now ready for analysis by end-users or analysts. To do this, we use different tools such as OLAP cubes (for multidimensional analyzes), Data Mining (to search for correlations), or dashboards presenting key indicators.

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