Self Service BI vs. Traditional Business Intelligence
While looking for a right business intelligence (BI) tool for your organisation, one needs to decide whether to go for a Self-service BI or rather a traditional BI solution. One may not get a clear cut answer. Actually, the type of solution to choose depends on several factors, including your organisation’s use cases, budget, a level of technical expertise, & others.
To go one step closer to answering the question “Which is best for my business, Self Service BI or Traditional BI?” we’ve mentioned the fundamental characteristics of both options.
Self Service BI solutions are user-driven BI Solutions, leverage many of the strengths of the web & mobile technologies. As the name implies, Self Service BI solutions are designed to adapt rapidly & frequently to the changing business needs. One of the objectives of Self Service BI is to give users the data they require to make informed business decisions instantly. Examples of Self-Service Business Intelligence solutions include Power BI, Tableau.
Fundamental characteristics of Self Service BI:
Business users, at different levels, are able to access the real-time data they need & quickly generate results without the need for working on spreadsheets & any technical expertise. Often, no coding skills are required & even the reports can be sliced & diced as required without the use of Excel Pivots or any other methods of aggregation in SQL.
Self Service BI’s upfront costs, the total cost of ownership (TCO) are significantly less than Traditional BI’s costs. Even the total cost of change (TCC) are comparatively lower than Traditional BI making it more feasible for organisations to switch to it.
When compared to Traditional BI, Self Service BI has a shorter development cycle that uses less IT resources and is quicker to deliver as well as easy to deploy on multiple platforms & devices. For example, reports can be accessed through smartphones & tablets.
Because of the rich user interactive feature, user adoption is typically greater with Self Service BI than with Traditional BI as it is easier for any non-technical business user to understand & leverage.
In Self Service BI Analytics, Data discovery is quick & easy as it helps business to overcome the hurdles of Data Extraction & Data processing tools & pull data from different sources within their organisation (including the core data pipeline) to answer ad-hoc one-off questions. Once the Data-model is architected properly it helps information savvy users to get their answers fast without spending additional time on data-processing.
Self-Service Business Intelligence Governance provides ways for enforcing quick & affordable data governance. Data governance is the application of enforcement over Business policies, procedures, practices, and tools that are designed to enhance the use of data assets. The purpose of Data governance is to ensure consistency across various areas of the business; therefore, it must be managed centrally & standardised across all business areas. So when both sales and marketing users ask a data discovery tool “What’s my lead to close rate?” each user gets different answers relevant to their department & role.
Traditional BI Solutions
Another side, Traditional BI solutions are powerful, scalable and backed by well-established software providers – the BI industry leaders, such as: SAP Business Objects / Crystal Reports, Oracle BI , IBM Cognos.
Low Initial Cost & Low Cost of Ownership
Self Service business intelligence tools are comparatively inexpensive to purchase and easy to implement as compared to Traditional BI tools. They also cost much less to maintain, so the total cost of ownership is less with a Self-Service BI tool than with a Traditional one. So it can be a comparatively affordable BI solution.
Self Service business intelligence tools help in connecting varied data sources rapidly, giving Developers as well as Business Users the flexibility to experiment with different approaches in lesser time.
Web-Based & App-based
Self Service business intelligence tools are web-based & app-based, which are accessible through smartphones & Tablets, making them perfect for an increasingly mobile business environment. Business users on the go & also the virtual workers can quickly gather the reports & data they need to make real-time decisions- just like they were accessing the data from their desktop. Some tools like Power BI allow users to annotate a specific visual in a report, highlight it, add comments & share it with other users through smartphones.
Easy to Use
As against, Traditional BI tools, those who use Self Service BI tools don’t need to know how to code. In fact, even the business users, with a limited technical expertise of SQL / Excel can execute sophisticated queries and reports.
Less dependency on IT
As a self-service business intelligence solution, Self Service BI empowers the end user to seamlessly carry Self Service Data Analytics processes or Self-Service Reporting, without being heavily dependent on IT.
Less load on Enterprise Servers & investing in IT assets
There are instances where the load on enterprise servers have dramatically being reduced with the use of Self-Service BI solutions. For example, an application can use in-memory technology to store Financial Accounting data just once. Every other financial view needed like consolidations, balance sheet, management accounting ratios, etc. can be calculated on the fly, in real-time. It can reduce the data storage needs by up to 98% approx. & vastly reduces the complexity, which leads to the low-performance of traditional BI
What are the upfront costs, implementation costs, & even the annual maintenance & support costs?
Also, have to estimate how much time/money/resources are needed to train the end users to use the solution?
What technical resources & skills are required to access, prepare and make data actionable for the end business user?
Does the solution allow a business user to connect to existing data sources? How easy is it to add a new data source? So if they plan to do something like changing the Data source or switch the Server, will that be achievable without much help from IT
Can Business Users access real-time data & view reports from their mobile devices?
Who watches the data? Is there security layer to control business user’s access to view data & reports based on their role & department?
The Bottom Line
First is the Business need. Business Analysts / Users accessing the data which they need for decision-making, without having to go to technology experts each time they have a new question.
Secondly, a technology which fulfils a business need. Tools that allow Business Users gathering information from multiple sources, analyse it, and also share it with other Users, without having to know the technical protocols required to access the data.
Some common complaints about Traditional BI software are:
It’s rigid – not easily deployable across devices & platforms
Creating reports is time-consuming
It places a burden on IT
The good side for Traditional BI tools is
They are scalable for storing large volumes of data
The response time remains consistent even for large volumes of requests.
Organisations can benefit from use cases on historical data & build upon it
Can benefit organisations that are seeking for highly scalable, centralised, standardised reporting with guided analysis.
On the other side, Self Service BI tools tools may be much more flexible and easy to use & also easy to adopt. Current business demand is for tools that:
Is more insightful
Allow users to access / extend not just structured data sources, but also non-traditional ones like social media networks.
However, they may not be as scalable as traditional BI. The days when there was no other choice it made sense to invest in these tools, but in today’s world, things have changed?
In the past, there was a call for a tool dedicated to working with structured data pulled from a single source—but today’s business environment is very different, as we keep watching the amount of data growing at an incredible pace.
The days of moving data from external sources to a specific data warehouse or data-set are gone. Organisations thus need to have more strategic approach about how they access information in real time—and for this reason, flexible, simple-to-use Self-Service Business Intelligence tools are best-fit.
Also, the comparatively low entry cost of Self Service BI tools has allowed even SMBs to exploit their data in a way, which was once only possible for much larger companies investing heavily in buying complete BI solution. In fact, businesses of all sizes can utilise subscription-based models for real-time access to data to help support every business decision.
Fundamental characteristics of Traditional BI:
No doubt, Traditional BI is built to serve even the largest environment. It is scalable to handle a massive amount of data and serve the greatest number of users.
Offers a broad range of features that allow organisations to cover a wide spectrum of reporting types and an array of use cases.
Requires a high level of technical expertise & users often rely significantly on IT to perform even the most basic tasks like building reports. As a result, user adoption rates may suffer.
Typically cost prohibitive for many small to medium sized organisations, & also for some large organisations.Requires IT support, as they often require SQL query skills or learn a proprietary query language & Advanced Excel skills in order to implement- which drives up cost & requires additional time required to deploy the solution.
Many large organisations opt to go for a combination of Traditional & Self Service BI solutions which meet all the varied use cases that exist within the enterprise – when they have the budget to do so. On the other side, small & mid-sized enterprises have typically less BI use cases and more budget restrictions. These companies are more likely opt Self Service BI Solution which meets their needs of Self-Service Business Intelligence including Self-Service Analytics Tools, Self-Service Reporting, plus offers benefits that Traditional BI typically doesn’t. For example, Power BI may be a feasible option in many such cases.