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Business Intelligence and Data Science

Recently, the field of Data is increasingly being interested by many young people and wants to pursue their career path. However, there are many small areas related to Data that can be confusing: Data Science vs. Business Intelligence. Generally speaking, in order to interpret the situation accurately, two aspects should be considered: similarity and differences between data science and business intelligence. Prior to this article, most people think that "data science" and "business intelligence" are completely different roles. However, if you carefully analyze these different positions, it turns out that this view is not absolutely accurate! For example, some products use the technology of artificial intelligence-based data mining for mining raw data; In addition to the raw data storage platform without processing requirements (storage), a typical processing platform can only manage a single kind of work release experience management system; Other cloud applications may have greater functionality or integration options such as real time processing or mobile interface capabilities But by its nature, compared to traditional methods such as statistical analysis mathematical model analysis on large amounts of historical data It should be noted that due to its high computational requirements This type of application has nothing to do with traditional business intelligence (BI) platforms available today

How IoT (Internet of Things), wearables, or smart devices can be integrated to provide automated customer service

What is the internet of things (IoT)? The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that communicate over the network without requiring human-to-human or human-to-computer interaction.

Comment on Prediction, Judgment, and Complexity: A Theory of Decision Making and Artificial Intelligence

There is widespread discussion regarding the impact of machines on employment. In some sense, the discussion mirrors a longstanding literature on the impact of the accumulation of capital equipment on employment; specifi cally, whether capital and labor are substitutes or complements. But the recent discussion is motivated by the integration of software with hardware and whether machines might also be involved in mental activities such as problem solving (similarly to how computers and software have played a role in such activities).

Supply Chain Issues and Business Intelligence Technologies

Risk management is one of the most important functions in any logistics company. It is a complicated task, which requires reliable and accurate data to make informed decisions about business operations and avoid potential pitfalls. To this end, businesses today are looking for the most effective Business Intelligence tools in the field of supply chain management. Furthermore, because taking risks is part of every successful business strategy, it is equally important to keep track of the efforts that can lead to failure as well as rewarded ones.

Customer Data Analysis Model Using Business Intelligence Tools in Telecommunication Companies

Business intelligence software is the most important technology in the telecommunications industry. It can help you gain deep insights into your customer, find new opportunities and make cost-saving business decisions. Business intelligence software improves overall decision-making capability by integrating data from multiple sources. It helps organizations establish precise marketing plans, understand customer behavior and develop new products by providing deep analytics for customers and stakeholders.

Research Methodology on Agile Project Management

Use of cloud storage system in marketing

The cloud is a place where data can be stored and handled. It can be accessed from any device and does not require an active connectivity to the Internet. With the help of cloud computing, businesses and individuals can work at any time in the manner that suits them best

The impact of Google’s mobile-first index on online marketing.

The mobile-first indexing update (sometimes called the "Mobilegeddon" update) has been rolling out slowly over the past year. When it makes a full rollout in March 2021, more than 70% of all known, crawled sites will be switched to mobile-friendly indexing and Google will begin to punish non-compliant websites with poor performance by seeding them lower in search results. This is a serious issue for businesses because it means that millions of crawling computers are actively seeking out non-mobile versions of your site, which causes your business site to rank lower than its competitors on mobile searches. Here are all the things you need to do before March 2021

How to Measure the Purchase Intention