It’s no secret that the business world is becoming more and more competitive, with companies scrambling to stay ahead of the curve. To do this, many organizations are turning to new approaches like Lean and Agile methodologies. But what are these strategies, exactly? And how can they be implemented in your organization? This blog post will explore the fundamentals of Lean and Agile Strategies, delving into their differences and discussing how they can help your business succeed. Read on to learn more!
Read more ...Digital marketing is a digital form of marketing which can be conducted using the internet, social media platforms and mobile devices. Digital marketing encompasses a wide range of marketing methods and techniques but broadly speaking falls into two categories content marketing and social media marketing.
Read more ...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
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