Business Intelligence

The Difference Between Traditional BI Delivery & Managed Self-Service BI

It is critical for companies to move away from the traditional BI delivery models and start considering a managed self-service BI solution...


The key for faster insights is the ability of business users to access information anytime and anywhere. That is why it is critical for companies to move away from the traditional BI delivery models and start considering a managed self-service BI solution. But what is the difference between these two approaches? In this article, we will establish a clear understanding of what each entails. 

 

Traditional BI Delivery  

 

A traditional BI process limits any data analysis work to the BI team or the IT. It entails writing and running any queries requests made by the business users such as a new report or a BI dashboard. That said, IT is given stronger control over data quality since it is responsible for extracting data from sources, transforming, cleaning, and loading it into a data warehouse where the BI team will design the needed report requested by the business user.  

It is undeniable that this method raises lots of challenges and issues. To name a few are bottlenecks, resource constraints, longer process time which can slow down the business’s speed to insights, missed opportunities, and poorer decision making. Even if traditional BI is still suitable for some situations, it does not offer the level of agility or efficiency needed in this fast-paced and quickly changing environment. In return, organizations will find it hard to leverage the full economic value of their data.  

 

Managed Self-service BI method 

 

A managed self-service BI is an advanced analytics tool that empowers business users to generate their own reports without IT/BI assistance. In this method, even if the employee is not a tech savvy, he/she can still access the data, spot relation between metrics, analyze, and visualize the data to get useful business insights. When the end user is involved in its own data analysis, positive business outcomes are achieved. From an increased efficiency, higher profits, and better patient satisfaction.  

This approach, however, does not underestimate the need for BI/IT teams. The BI team is now training the business users and promoting BI best practices throughout the organization. While as the IT team is now responsible for how data is ingested and governed within the organization.  

 

It is recommended to deploy the methods that fits your own organization’s need and support your long-term strategy. To survive and grow in today’s competitive industry, it is important to reconsider your current processes and adapt a smarter technique that will help you stay on top.  

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