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This article describes the process of the strategic enterprise analysis utilizing text and tables. In the past 5 years, things have changed, and I have gained new insight and most important learned new aspects. As a result, this article expands previous material to include...
In this article, I want to share my knowledge on how to manage product backlog using Jira. The article will be useful not only to business analysts or product owners but also to scrum masters, project managers. Basically, anyone who works with backlog and requirements on a project will benefit from reading it. There are certain rules and approaches that you have to follow to achieve good results.
Before we take a look at it I want to point out that this approach is not a market standard yet. However, over the last 3 years, I’ve completed a good number of projects using the approach I’ll be describing here
On the image below I tried to emphasize the main activities and processes that should be presented in your project. You also have to keep in mind that each artifact and process has own goal and definition.
The function of a technical business analyst is to bridge between business and technical teams. This can be undertaken in various forms. First, the bridging can be done by translating business requirements into technical artifacts. The analyst must be able to assess the business and note the basic requirements of that particular business at that given time. Using their skilled knowledge in technology they must be able to translate the given come up requirements into technological terms. The requirements must, therefore, be taken care of technologically for efficiency and accuracy.
While many business analysts may be able to get by without ever writing a single line of code, the ability to write and interpret SQL queries can greatly increase your effectiveness as a BA. The purpose of this article is not to provide a tutorial on learning SQL, however, it is to demonstrate how SQL can be used in various business analysis techniques without having to rely on more technical roles such as data analysts or developers (they have plenty of other things to do).
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