Business Intelligence (BI) Vs. Decision Intelligence (DI)
Decision intelligence / June, 28 2022

Business Intelligence (BI) Vs. Decision Intelligence (DI)

Decision Intelligence has been receiving much buzz lately. McKinsey predicts that 70% of businesses will use decision intelligence in some form or the other by 2030. Gartner predicts Decision Intelligence as one of the top technology trends of 2022. Towards the end of this blog, you will understand why.

As big data and cloud computing adoption continue to skyrocket; organizations are more likely to be data-driven. With new challenges and staying competitive at the epicenter, organizations that once wanted to be a data-first entities are now looking for something beyond being just data-driven. 

Business intelligence laid the foundation for enterprises to extract meaningful insights from the pooled organizational data wealth. The popular BI tools among business communities, Power BI, Tableau, etc., need no introduction. 

The advent of low code and no code apps has further simplified the data gathering process internally, resulting in more effective and impactful decisions. With a gold mine of data, churning mere insights by decision facilitators isn’t adequate to stay relevant in business. The answer to all these lies in Decision Intelligence (DI), a new data and analytics trend creating quite an upstir. 

Realizing the benefits of business intelligence on both the business and technology front, it’s time to understand why organizations need decision intelligence? How decision intelligence differs from business intelligence? What does it have to offer? 

Here are the answers…

What and Why Decision Intelligence

While business intelligence allows organizations to analyze, visualize, and extract insights using BI tools, Decision intelligence helps transform those insights into consequential business decisions. 

One of BI’s significant capabilities is to sieve the current and historical data to extract insights. Decision intelligence goes a step further. It creates an impactful convergence of technical excellence and business minds to create game-changing decisions. Find more info on what DI is and how it changes your business in our latest read.

While BI has many benefits, including organizational data-driven culture, it lacks the ability to identify the decision-making variables and risks involved, often driven manually by stakeholders or decision-makers. An intense human process is prone to errors. There are chances where stakeholders might not understand the takeaways of the insights or know what to do with the insights, leading to poor decision-making.

BI model

The current analytics model focuses on individual questions with a static model. Stakeholders break down key business challenges into static questions and formulate decisions by combining different pieces of the puzzle.

Business Intelligence (BI) Vs. Decision Intelligence (DI)

Upon analyzing the relevant data, decision facilitators provide critical insights to every minor question of a larger business challenge thrown at them and share it with decision-makers for a final decision.

While the overall process serves the need, it is time-consuming, missing real-time info, lacks decision computing capabilities, less effective, and might lead to missed opportunities due to the slow process.

Business Intelligence (BI) Vs. Decision Intelligence (DI)

The entire experience can be improved if the decision and execution steps can be supported, augmented, or automated with little human supervision. This is where organizations need an intelligent decision-making system to make the process easier and improve decisions’ success rate.

DI model = BI Model + Decision Science

Decision Intelligence is where data science meets business intelligence.   It brings in the last mile advantage on business intelligence capabilities. It incorporates various decision-making techniques and algorithms to formulate a best-fit decision for a business challenge.

The AI and ML infusion in the Data intelligence platform helps eliminate human errors and allows them to make faster, high-quality decisions with less human intervention. After all, who hates having virtual assistance in analyzing and eliminating risks in their decision-making process.

However, the decision intelligence model works slightly differently from the BI model. Instead of the stakeholders breaking down the business questions into tiny pieces of static questions and mapping them back to particular BI tools or data sets, DI instantly provides the required actionable insights into your data using Machine Learning (ML) and Natural language search.

DI uses a modern architecture that does parallel processing considering all the available data and provides deep insights. In comparison, the BI process has a shortage. The DI tools directly give the insights instead of loading the system with multiple dashboards. DI tools help users get answers to the business questions directly from the insights and avoid breaking them down to static questions. 

Business Intelligence (BI) Vs. Decision Intelligence (DI)

As a result, data dashboards, insights, and business analytics become more comprehensive that can connect AI and human decision-making to make high-quality, quick decisions.

Automate your Decisions with DI

There are totally three levels in which Decision intelligence can be an asset to an organization. The first level is decision assistance, which supports the decision-making process with analytics and data exploration.

The second level is decision augmentation which provides the predictions and all the possible outcomes along with the predictions.

The third level is decision automation. With AI and process automation in place, it can perform both the decision and execution step with the human over vision. Not all decisions can be automated. Important and sensitive decisions like designing a business strategy can be supported and augmented but not automated.

More Differences between Business Intelligence (BI) Vs. Decision Intelligence (DI)

 Business IntelligenceDecision Intelligence
PurposeBI systems were designed to process the historical data for the predefined queries with a traditional analytic model.Decision intelligence is a combination of dashboard overload and advanced AI to predict the future and provide suggestions.  
InsightsProvides statis insightsDelivers dynamic predictions and recommendations
TimeWith BI, the stakeholder or the decision-maker should further analyze and manipulate multiple dashboards, to arrive at a business decision, which is often time-consuming.Decision intelligence provides a plan of action based on real-time insights, leading to faster decisions.   


Extracting insights from traditional BI platforms and self-service BI tools has become more complex and irrelevant for many day-to-day decisions with an increasingly complex data landscape. Business teams require analyzing massive amounts of real-time data across channels to take the daily, on-demand micro-decisions that impact an organization’s long-term success. Static reports and surface-level dashboards will not suffice in outperforming the competition. To fully capitalize on new opportunities, the time-to-insight and time-to-decision must be near real-time. Organizations must use all the available and relevant data while making business decisions. Analyzing the vast amounts of data along with risk modeling and decision-impacting variables is the need of the hour, and only decision intelligence holds the answers for these.

Business Intelligence (BI) Vs. Decision Intelligence (DI), deciding which technology to implement in the decision-making process is crucial for organizations. It is BI, along with the capabilities of DI, that organizations should consider.

How to get started with DI?

Decision intelligence systems are consumption platforms. They absorb current data and apply your AI and machine learning models to provide contextual suggestions. Today, most firms use AI or machine learning models to serve specific analytic aims. So getting started with decision intelligence can be done with few pre-requisites that include

If you aspire to go beyond being data-driven and make high-quality decisions faster, then you are at the right place. Get in touch with us now.

Get in Touch


Stay up-to-date with our latest news, updates, and promotions by subscribing to our newsletter.

Copyright © 2008-2023 Saxon. All rights reserved | Privacy Policy

Address: 1320 Greenway Drive Suite # 660, Irving, TX 75038

Archana Aila

Archana Aila

Position Here

With 2 years of hands-on experience in Power Platform, I’ve excelled in developing and implementing solutions for businesses, harnessing the power of Power Apps, Power Automate, Power BI, and Power Virtual Agents to streamline processes and enhance productivity. My proficiency extends to crafting custom applications, automating workflows, generating data insights, and creating chatbots to aid operational efficiency and data-driven decision-making.

With an intermediate knowledge in Azure cognitive services, incorporating them into Power Platform use cases to innovate and solve complex challenges. My expertise in client engagement and requirements gathering, coupled with effective team coordination, ensures on-time, high-quality project deliveries. These efforts have yielded significant accomplishments, solidifying my role as a valuable asset in this field.

Akash Jakkidi

Akash Jakkidi

Position Here

I am committed to resolving complicated business difficulties into simplified, user-friendly solutions, and I have extensive experience in Power Apps development. I thrive in integrating cutting-edge technology to optimise process efficiency, leveraging intermediate knowledge in Azure, Cognitive Services, and Power BI. My interest is developing dynamic apps within the Power Apps ecosystem to help organisations achieve operational excellence and data-driven insights.

As a tech enthusiast, my passion for innovation leads me to constantly explore new ideas and push the frontiers of what is possible, assuring significant contributions to our technological world.

Palak Intodia

Palak Intodia

Position Here

I am a tech graduate with a strong passion for technology and innovation. With three years of experience in the IT industry, I’ve been on a continuous journey of professional growth and skill development. My expertise lies in Power Apps and Automate, where I’ve had the privilege of contributing to multiple successful projects.

I’m dedicated to delivering results that not only meet expectations but also drive the success of the projects I’m involved in. I’m committed to my ongoing professional development and the pursuit of excellence.


Roshan Jaiswal

Position Here

With nearly 2 years of dedicated experience in Power Platform technology, my expertise lies in crafting customized business solutions using Power Apps and Power Automate. I excel in identifying intricate business requirements and translating them into innovative, user-friendly applications. My daily tasks involve meticulously deploying applications across diverse environments and harnessing the full potential of the Microsoft ecosystem within business applications.

I have proven my adaptability by consistently meeting the demands of creating responsive and scalable applications. Also seamlessly integrating complex workflows and data sources, ultimately enhancing operational efficiency and driving sustainable business growth.


Sugandha Chawla

Position Here

Sugandha is a seasoned technocrat and a full stack developer, manager, and lead. Having 8 years of industry experience, she has been able to build excellent working relationships with all her customers, successfully establishing repeat business, from almost all of them. She has worked with renowned giants like Infosys, Ernst & Young, Mindtree and Tech Mahindra.

She has very diverse and enriching work experience, having worked extensively on Microsoft Power Platform, .NET, Angular, Azure, Office 365, SQL. Her distinctiveness lies in the profound domain knowledge, managerial skills, and process mastery, that she additionally holds, as a result of possessing a customer facing role, working with different sectors, and managing and driving numerous critical executions, single-handedly, end to end.

Vibhuti Dandhich

Vibhuti Dadhich

Position Here

Vibhuti, a Power Platform technology evangelist, has passionately embraced the transformative potential of low-code development. With a background that includes experience at EY and Wipro, she’s been a trusted advisor for clients seeking innovative solutions. Her expertise in unraveling complex business challenges and crafting tailored solutions has propelled organizations to new heights.

Vibhuti’s commitment to staying at the forefront of technological advancements and her forward-thinking approach have solidified her as an industry thought leader. Her mission is to empower businesses to thrive in the digital age, revolutionizing operations through the Power Platform.

Ruturaj Kulkarni

Ruturaj Kulkarni

Position Here

With 8 years of dedicated expertise in the IT realm, I am a seasoned professional specializing in .NET technologies and Microsoft Azure Cloud. My journey encompasses a profound understanding of software development using the .NET framework and a robust command over Azure’s cloud ecosystem. Throughout my career, I’ve demonstrated a knack for crafting scalable and efficient solutions, leveraging the power of cloud computing.

My passion lies in staying at the forefront of technological advancements, ensuring that my skills align seamlessly with the dynamic landscape of IT. Ready to tackle challenges and drive innovation, I bring a wealth of experience to any project or team.

Sija Kuttan

Sija Kuttan

Vice President - Sales

Sija.V. K is a distinguished sales leader with a remarkable journey that spans over 15 years across diverse industries. Her expertise is a fusion of capital expenditure (CAPEX) machinery sales and the intricacies of cybersecurity.

Currently serving as the Vice President of Sales at Saxon AI, Sija adeptly navigates market dynamics, client acquisition, and channel management. Her distinguished track record of nurturing strong relationships, leading diverse teams, and driving growth underscores her as an adaptable and seasoned sales professional.

Gopi Kandukuri

Gopi Kandukuri

Chief Executive Officer

Gopi is the President and CEO of Saxon Inc since its inception and is responsible for the overall leadership, strategy, and management of the Company. As a true visionary, Gopi is quick to spot the next-generation technology trends and navigate the organization to build centers of excellence.

As a digital leader responsible for driving company growth and ROI, he believes in a business strategy built upon continuous innovation, investment in core capabilities, and a unique partner ecosystem. Gopi has served as founding member and 2018 President of ITServe, a non-profit organization of all mid-sized IT Services organization in US.

Vineesha Karri

Vineesha Karri

Associate Director - Marketing

Meet Vineesha Karri, the driving force behind our marketing endeavors. With over 12+ years of experience and a robust background in the B2B landscape across the US, EMEA, and APAC regions, she is pivotal in setting up high-performance marketing teams that drive business growth through a transformation based on new-age marketing practice.

Beyond her extensive experience driving business success across Digital, Data, AI, and Automation technologies, Vineesha’s diverse skill set shines as she collaborates with varied stakeholders across hierarchies, cultivating a harmonious and results-driven workspace.

Sridevi Edupuganti

Sridevi Edupuganti

Vice President – Cloud Solutions

Sridevi Edupuganti is an innovative leader known for strategically enhancing business opportunities through technology planning, orchestrating roadmaps, and guiding technology architecture choices. With a rich career spanning over two decades as a Senior Business and Technology Executive, she has driven teams to empower customers for digital transformation.

Her leadership fosters democratized digital experiences across enterprises. She has successfully expanded service portfolios globally, including major roles at Microsoft, NTT Data, Tech Mahindra. Proficient in diverse database technologies and Cloud platforms (AWS, Azure), she excels in operational excellence. Beyond her professional achievements, Sridevi also serves as a Health & Wellness coach, impacting IT professionals positively through engaging sessions.

Joel Jolly

Joel Jolly

Vice President – Technology

Joel has over 18 years of diverse global experience and multiple leadership assignments across Big 4 consulting, IT services and product engineering. He has distinguished himself by providing strategic vision and leadership for solving common industry problems on cutting-edge technologies.

As a leader surfacing and operationalizing next-generation ideas, he was responsible for exploring new technology directions, articulating a long-term technical vision, developing effective engineering processes, partnering with key stakeholders to build a strong internal and external brand and recruiting, mentoring, and growing great talent.

Haricharan Mylaraiah

Haricharan Mylaraiah

Senior Vice President - Strategy, Offerings & Sales Enablement

Hari is a Digital Marketer and Digital transformation specialist. He is adept at cultivating strong executive and customer relationships, utilizing data across all interactions (customers, employees, services, products) to lead cross-functionally as a strategic thought partner to install discipline, process, and methodology into a scalable company-wide customer-centric model.

He has 18+ years experience in Customer Acquisition, Product Strategy, Sales & Pre-Sales Management, Customer Success, Operations Management He is a Mechanical Engineering Graduate with MBA in International Business and Information Technology.