Big Data And Business Intelligence – Various companies in Tunisia and elsewhere use data to automate their processes and maximize their performance. The challenge: collect data and above all, transfer it in the right form, to the right person and at the right time. This is where Business Intelligence (BI) and Big Data come into the picture: they support the company in making decisions and manage its growth. Many people use the terms “big data” and “business intelligence” as if they were interchangeable. Although both Big Data and Business Intelligence are used to help companies in their decision-making processes, there are differences between the two.
Data is the basis of information. They are all around us and can exist in many different forms: as numbers or text on paper, as bits or bytes stored in electronic memory, or as living facts in people’s minds. . Computer data is information that can be processed and stored by a computer. They are processed by a server’s CPU and stored in files and characters on a hard disk.
Big Data And Business Intelligence
At its most basic level, computer data is a collection of 1s and 0s, called binary data. Since all computer data is in binary format, it can be digitally generated, processed, stored and archived.
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Data can be transferred from computer to computer (server to server) using a network connection or various suitable devices. They do not deteriorate over time and do not lose their quality after being used several times.
Business Intelligence (BI) includes the infrastructure, tools and best practices that allow companies to access and analyze information in data to improve and optimize their decisions and performance. It includes data collection, data storage, processing and visualization into a meaningful representation that facilitates decision making.
Business intelligence allows you to visualize data in a way that makes it easily and quickly understandable. When data is visualized, it is easy to identify new trends, which is the first step in learning from them.
There are 3 main types of people who may be asked to work on a business intelligence project:
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Data Engineer: Data Engineer plays a very important role in infrastructure maintenance and data cleansing and training.
Data Analyst: The data analyst creates and executes analytical queries (SQL) to create data tables that will feed the reports and dashboards he will later create.
Business users: This is the last chain in the link, this type of user, who can be a CEO, a marketing director or even a sales manager, dashboards to find actionable insights, discover potential problems and make better strategic decisions. Analyzes information on .
Everyone thinks that Big Data is nothing but a huge amount of complex data. But in reality, it is not only about a large amount of data, it is also about processing and analyzing this large amount of data with the aim of developing or generating opportunities for business improvement. .
Businessman And Big Data Analytics And Business Intelligence Stock Image
Big data refers to the processing, storage and analysis of a wide variety of large data sets (structured and unstructured data) often generated from many sources (smartphones, social networks, points of sale, sensors, etc.). The ultimate goal is to help companies in their decision making process.
The datasets processed in Big Data are so large and complex that traditional business intelligence software and infrastructure cannot handle them. Estimates show that 90% of Big Data is generated in an unstructured way.
Big Data and Business Intelligence refer to two different but closely related disciplines. Although Big Data and Business Intelligence are two disciplines used to analyze data to help companies in their decision-making processes, there is a difference between the two.
The difference between these two disciplines is mainly found in the type of data processed, the way the data is processed and its ultimate purpose. In Business Intelligence, information is stored on a central server (data warehouse), while in Big Data, distributed file systems are used, which make data processing more flexible and secure. Big data uses an MPP (massively parallel processing) approach that, among other things, speeds up data processing and analysis.
Pdf] Big Data And Business Intelligence: A Data Driven Strategy For E Commerce Organizations In The Hotel Industry
Big data deals with structured and unstructured data (from various sources including external to the company), unlike business intelligence, which deals with structured or semi-structured data that is mostly internal to the company. The formats of this data are of course less varied.
Unlike BI, Big Data does not answer the critical questions that companies have, but rather provides them with new insights that can ask new questions they hadn’t even thought of.
Faced with the impressive growth of data, companies face a major technological challenge: continuing to value data while adding ever-increasing amounts of information. The solution? Successful Reconciliation of BI and Big Data. Their combination makes it possible to expand the information resources available and therefore go beyond the often limited structure of the organization. Companies therefore have access to a greater amount of information that more accurately reflects the reality of their market. Finally, the installation of Big Data functionality on BI platforms offers real-time reporting to the company. A significant advantage when it comes to responding to security breaches or visitor traffic to your site.
The two concepts therefore have different but complementary approaches: Big Data technology is a natural extension of BI. Opportunity to gain flexibility and efficiency for business intelligence.
Big Data And Business Analytics
It is true that Tunisia still does not have enough experts in Big Data and Business Intelligence, but this can change very quickly and there is an opportunity to be seized: Global Engineering Center, in training and consulting around new technologies Leaders, artificial intelligence, big . Data and Business Intelligence in Tunisia opens the doors for you to invest in this innovative field through workshops and practical training provided by qualified and certified experts, as well as a complete offer in the provision of services around analytics or projects with innovative data. Also support in .
Question? contact@ 35 Avenue La Gare (3rd floor) – Tunis (+216) 52 758 141 | 28,471,919 companies are collecting unprecedented data about their consumers, sales and products. In most cases, these information queues move too fast, are too large or exceed the processing capacity of existing technical applications in the organization. But with big data and business intelligence, companies can improve operations, their profit margins, and even make faster and smarter business decisions.
The stock market has been trading on its gut instinct for years. But now they recognize the importance of capturing data around their strategic business activities. The ability of companies to support their decisions with evidence of things that can work is essential.
BI and Big Data analytics have revolutionized countless industries, with the retail sector being the biggest beneficiary. Major players like Walmart and Amazon are leveraging BI and Big Data analytics to improve their sales performance. However, these benefits are not limited to entire companies: medium and small companies can also feel great value in systems integration in their operations.
Google Says It’s ‘cracked The Code’ To Business Intelligence
The benefit that comes with the ability to process significant amounts of data is the main attraction of business intelligence and big data analytics.
In the retail industry – supermarkets, department stores and e-retailers – transaction history and sales receipts can generate an incredible amount of data, depending on the size of the business. These lines of information present a great opportunity for companies to analyze their sales. However, valuable insights are not based on volume alone.
Integrating a successful business intelligence solution can help sales organizations extract meaningful information from a single piece of data and solve the question at hand. It provides concrete answers to questions such as how much a product is sold for and what type of customer buys the product, as well as the store or business that sells the product and the specific time.
These are critical answers that sales companies need to improve their decision making process. Trends in data show strengths, weaknesses and opportunities for a company. For example, you can know when they make the most sales and the time. Thus, they ensure that particular store
Big Data Workflow From Data Feeds To Actionable Intelligence Ppt Slide
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