Skip to main content

Agile business intelligence methodology

Do you want better control and flexibility in your business operations then this blog has a lot to offer you? All these can be achieved by a simple methodology called agile methodology. So what this uncanny term is? This methodology is used to define the development of software that is used in Business Intelligence and analytical tools. It is also called "Agile business intelligence methodology". Defining the development of software will allow any organization to work in a controlled and flexible manner. The umbrella of agile business has a lot of small sections but the main goal is to help businesses to adapt quickly to the market needs which is continuously evolving.

The main advantage of such methodology is that in traditional methodology departments are focused on their tasks and goals and they won't inhibit the work of each other or there is no communication between the departments but this methodology allows that communication which makes the business more flexible and adaptive in nature. There is a basic structure associated with agile business intelligence-


 Source

  • Requirements- In this step, you need to focus on the BI capabilities that a decision-maker or end-users is looking for. It needed to be documented and approval is required to proceed further. Approval is generally given by the stakeholders.
  • Design- In this step, you need to take requirements into account and work on the workflow diagrams and various charts to show how this process will reflect in the BI system. It will provide a base for further steps.
  • Development- This step involves the use of various BI tools to build upon the structure or design provided in the second stage. This step will ensure the different functionality and features your BI system will provide.
  • Testing- Subsequent steps will be obvious. Once you build a BI system you need to test it with sample data and create reports to see that the system works well as expected. If not this step should be repeated to ensure that the system should meet the expectations of the end-user.
  • Deployment- Once you find that the BI system is working well according to the requirements it is needed to be deployed in real-time scenarios on a real customer base.
  • Review- After you deployed the BI system in your operations you need to monitor it regularly to analyze the performance, fixing errors if there are any, and at last to get feedback.

These are the steps which are needed to be followed for setting up an agile business intelligence environment. All these steps look very primitive but in practice, every step is vital and requires significant time to be achieved. The BI system should be focused on users and how they are going to use such a system. This methodology always provides any organization a competitive advantage due to its flexibility and a better BI system.


Comments

Popular posts from this blog

Ultimate Beginners Guide to DAX Studio

There are zillions of external tools available with Power BI but DAX Studio is one of the most commonly used tools to work with DAX queries. It is a perfect tool to optimize the DAX and the data model. In this blog let's shed some light on the basic functionalities that can take your report to the next level. ARE YOU READY?  To start you will need the latest version of the DAX Studio. You can download it from their website . Don't worry you don't have to pay for the license. Fortunately, DAX Studio is a free tool As a BI Developer, I am using DAX Studio regularly. Based on my experience I use it for several purposes but in this blog, I will highlight the most common ones. Extracting a dump of all the measures used in your PBIX. Why do we need to do this? It can be used for documentation purposes also sometimes we try to reuse the DAX and such a dump comes in handy in this scenario. How to achieve it? Open the DAX Studio it is located under the external tools once you open t

Identify and Delete Unused Columns & Measures

Heavy dashboards and a bad data model is a nightmare for every BI Developer. Heavy dashboards can be slow due to multiple reasons. It is always advised to stick with best practices. Are you still figuring out about those best practices then you should definitely have a quick read on Best Practice Analyser ( link ). One of the most common issues with slow dashboards is unused columns and unused measures.  It is very normal to load some extra columns and create some test measures in your dashboard but as a part of cleanup process those unused columns and unused measures should be removed. Why we are removing them? Because if you keep them then ultimately it will increase the size of your data model which is not a good practice.  How to identify the culprits (unused columns and unused measures)? In today's blog we will provide you with 2 most common external tools which will help you in identifying the culprits. More external tools😒. Who's going to pay for this? To your surprise

Best Practice Analyser (BPA) Guide

Do you want to save tons of efforts to check if your data model and PBIX file follows the standard best practices and norms? Then this blog is for you. If you are a follower of our channel we already deep dive into the importance of the DAX Studio as an external tool. If you are a beginner I would highly recommend to visit this blog . In today's blog we will check how Tabular Editor can help to optimize the data model.  Best Practice Analyser allows to define or import best practices. It will make sure that we do not violate the best practices while developing a dashboard. Isn't it exciting!! Before we start make sure you already have Tabular Editor version 2.24.1 installed on your system. To install it do visit this link and select the link for windows installer. Once Tabular Editor is installed it will reflect in your PBIX file under external tool. Also, we need to define the standard rules. To do so in your advanced scripting or C# script copy this and save it via Ctrl+S. An