Analytics and the use of them in business

If I often want your business to succeed, I often hear that you are hiring yourself and saying it should be wiser than yourself. Companies in the modern business world are becoming more and more difficult to compete individually with products because in particular every company in the industry seems to be producing (or very similar) products . As consumer expectations increase, quality standards become more stringent, so it is difficult to sell even quality competition in modern markets.

This article explains how to create analytical functions in your organization. It's not about which metrics to track (there are many good posts about this), not about how you actually create them in your business. How can we build a business problem, that is, a business that generates practical data? - It is difficult to answer. I was working on analysis for 20 years. Meanwhile, I saw many things going well, but more things worsened. I introduced Legacy Enterprise BI (呃) at the initial stage of my career. From 2009 to 2010 we built the first analytical function of Squarespace and released a large A round using that data. I was Chief Operating Officer of Argyle Social, a startup for social media analysis. He then served as Vice President of marketing for RJMetrics, the leading BI platform for startup.

As a term, data analysis refers primarily to a variety of applications, from basic business intelligence (BI), reporting, and online analytical processing (OLAP) to advanced format analysis. In this sense, it is essentially similar to business analysis and is another general term of data analysis method. Unlike the latter for business use, data analysis is more widely concerned. However, the broad view of this term is not common. In some cases, you use data analysis to express sophisticated analysis and treat BI as a different category.

Business analysis is skills, technologies, applications, and practices that continue to explore data to gain insight into business decisions. Business analysis is multifaceted. It combines multiple forms of analysis and uses the correct approach to produce the desired results. It focuses on the use of technology to develop new insights such as data mining, predictive analysis, natural language processing, artificial intelligence, statistical analysis, quantitative analysis. In addition, domain knowledge is an important element of the business analysis portfolio. Business analysis can be viewed as a combination of domain knowledge and analysis of all kinds and can create analytical applications focused on achieving specific business outcomes.