What is Self-Service Business Intelligence- Ubiq BI
                     
Understand how systematic self-service BI can benefit your business
Self-service business intelligence is the process where users can create and 
customize their own unique reports. Using BI, large chunks of data can be 
scrutinized by both technical and non-technical personnel through the help of 
simple user interfaces to gain actionable insights.
Self-service business intelligence (BI) tools allow in-depth and efficient business 
analysis.It lets users analyze relevant business data and succinctly present the 
insights from that data without relying on external IT departments for help. If an 
organization has self-service BI capabilities, it can begin streamlining the overall 
decision-making capabilities within its departments by providing users a single 
point of source for receiving centralized data.
What differentiates traditional BI when 
compared to self-service BI
With traditional BI tools and functions, it’s usually the BI team that’s tasked with data 
crunching work. In this traditional approach, users generally make a request for new 
data queries, which a BI professional writes and consequently runs a search query for.
The origins of self-service BI
The functional need for a systematic Self-Service BI arose out of requiring a solution to 
tackle the ever-increasing need for faster data analysis and provision for actionable 
insights. Traditional BI solutions relied heavily on a collaborative framework between 
technical & non-technical users. I.e between IT departments and other users. 
The structure of these traditional BI mechanisms would create a noticeable delay 
between the time a request for data was created and when the requested data was 
successfully delivered. This inherent drawback of traditional BI created the impetus for 
efficient ways to create, scrutinize and analyze business reports without requiring 
extensive technical expertise.  
This necessitated the creation of a self-service BI that was proactive instead of simply 
being reactionary.Consequently IT departments in businesses today are allocating 
more resources to focus on data governance and security instead of just on report 
creation. 
The benefits of Self-Service Business Intelligence 
Self-Service Business Intelligence can benefit businesses in a variety of ways. Some of these 
benefits include:
● Optimal usage of IT resources
Since businesses today have the potential to conduct their own in-house analysis, self-
service BI usually frees resources that an organization would otherwise invest into 
traditional BI and IT departments in creating data, dashboards and actionable insights.
This consequently allows businesses to allocate their resources to focus on high value  
priorities requiring more technical skills. These technical skills range from creating 
sample data sets for business users to generating complex queries and reports.
● Faster data analysis and decision-making
Self-service BI efficiently minimizes bottlenecks in traditional BI programs by allowing 
the data analytics functions to be accessible to normal users instead of just IT 
professionals. This greatly enhances business productivity, because it lets users ( both 
technical and non-technical ) analyze data more efficiently and thereby be in a position 
to take better business decisions
● Data-centric processes
More business owners, workers and even non-technical users are increasingly making 
use of self-service BI tools. This paves the way to create and sustain an environment of 
holistic data-driven culture in different levels of the organization and even among 
upper management.
● Versatile and competitive advantages
The effective use of data and swift decision-making can help make an organization 
more versatile. This versatility lets it act on actionable insights faster thereby providing 
it a competitive edge. 
Try Self-Service BI for your business
A well implemented self-service BI strategy can help optimize many functional areas of 
your business. It allows for streamlining of processes as it empowers even non-
technical users to become active participants of the process of data analytics and 
reporting. This helps free up bandwidth on IT teams, and helps foster synergy across 
different business departments. 
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