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The Digital Age of Data Intelligence

What comes to your mind when you think of “Data Intelligence?” Is it Business Intelligence? Maybe Business Analytics? Data intelligence is the foundation for creating any insightful report. It is more than analytics.   The process of optimizing Artificial Intelligence and Machine Learning tools to scrutinize and transform large datasets into intelligent data insights, which businesses can further use to improve their services and investments refers to data intelligence. They can implement data intelligence tools and methods to understand comprehensive information with the objective of developing better business processes. The most reliable data analysis is done focusing on these four components:   Descriptive data  Predictive data  Prescriptive data  Decisive data  In other words, if data is “oil,” data intelligence is the “oil refinery.” It understands data and extracts incognito and insightful information while providing intelligence for data-driven decisions and actions. It helps companies extract, engage, and analyze data from different areas:   Allows a 360-degree view of their business or certain areas.   Endorses organizational transformation.   Promotes data-driven culture in the organization.   Help understand customers.   Assists in building new services or products.    Data Intelligence: A Business Essential   Having customers with soaring demands, businesses have to become more active, reliable, and most importantly predictable. Earlier the companies used to promise their service and it was enough for the buyers. However, in this era, things are a lot different now, consumers give a premium to performance than a promise.  Data Intelligence helps you deliver what you promised in the near time. You can easily predict when your machines are going to have downtime while being proactive in fixing them. You can estimate the accurate duration of a project and optimize resources accordingly. Being backed with a precise forecast, you construct reliability into delivery.   The amalgamation of technological advancements and data science drives the opportunity to establish a unified, impactful, and sophisticated data intelligence. In order to improve marketing and business operations with data intelligence, an organization needs to follow these five steps:   The first step is to acknowledge technological advancements of science, data, and software specifically designed to benefit from new opportunities.   Secondly, it is essential to establish a universal identifier to unify online as well as offline first, second and third-party data via graphs and models.   Thirdly, ensure the effective enrichment of data that is being generated and harvested daily.   Then, allow the effective segmentation of data as per the current capabilities of your CDPs, then implement data science and machine learning tools to identify the potential data activation via any channel of interaction, usually known as omnichannel.   Lastly, establish a common software for all the relevant parties empowering data intelligence for all – from data analytics and data science teams all the way to the planning and operation teams. It should be accessible for anyone desiring to exponent current market opportunities.   Business Intelligence   Business Intelligence is the essence of data intelligence ensuring various levels of insights with increased value and technological complexities. It is one of the most crucial business aspects and sets a foundation for your business decisions. It typically includes four types of analysis.  Helps Improving Competitive Intelligence   Businesses can get a competitive edge with such analysis which turns big data into insightful actionable reports. Such solutions allow data access to authorized people ensuring a competitive, secure, and intelligent report. This ensures organizations can make more strategic decisions quickly with this information effectively.   Improves Market Intelligence  Akin to competitive intelligence enhancement, intelligent data analysis can help improve market intelligence by identifying customer insights, customer monitoring, buying patterns, and predicting market trends. Having these details available on a single platform can help businesses become more responsive towards marketplace changes while optimizing manufacturing and cutting waste.   Integrates Data   Since there is data everywhere, in different formats and texts, it makes data analysis a challenging task. However, this technology extracts inputs and turns them into more actionable reports while minimizing complexities existing with data locked in different software and spreadsheets. Having data extracted from various sources and formats is transformed into a single vision of truth, making it easier for entrepreneurs to analyze their businesses and make logical decisions.    Provides Customer Insights   Intelligent data analysis extracts customer data from CRM, social media campaigns, email marketing, and websites while determining customer engagement with your business. It helps an organization identify factors causing low or high engagement and create effective strategies to boost sales.    Bottom Line   Data Intelligence is more than just analytics, it collects data from different sources and refines it to deliver further for generating analysis. Data intelligence can be addressed to the process of optimizing Artificial Intelligence and Machine Learning tools to scrutinize and transform large datasets into intelligent data insights. Business Intelligence is the essence of data intelligence, a business scalability relies on your BI capabilities. Trident Information Systems is equipped with Microsoft’s robust tools ensuring a powerful BI service. For further queries or a demonstration, contact us.   

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Customer service team using Microsoft Dynamics 365 to improve productivity and response times.

How SMRT Doubled Customer Service Productivity With Microsoft Dynamics 365: A Real-World Case Study

What does it look like when Microsoft Dynamics 365 Customer Service genuinely transforms an organization’s service capability? Not in theory — but in practice, at scale, with measurable outcomes that can be independently verified? It looks like SMRT — Singapore’s largest transport network operator, managing over one billion rail and bus journeys per year — handling 2.3 times more customer service cases with the same team after implementing Dynamics 365. It looks like new innovation projects going from concept to live deployment in under three months. And it looks like over 1,000 customer service staff moving from manual case sorting to automated, dashboard-driven service management — delivering faster, more personal service across email, calls, WhatsApp, Facebook, SMS, fax, and letters simultaneously. The SMRT case study is one of the most compelling documented proofs of what Microsoft Dynamics 365 Customer Service can deliver when implemented correctly — and it remains highly relevant today, because the core challenge SMRT faced in 2016 is the same challenge that customer service organizations across every industry face in 2026: managing rising contact volumes across an ever-expanding range of channels, with the need for real-time visibility, automated case management, and the agility to launch new service initiatives quickly. This article covers the full SMRT story — the challenge, the solution, and the results — and contextualizes it against what Microsoft Dynamics 365 Customer Service delivers in 2026, with the addition of AI-powered Copilot capabilities that make those 2016 results a baseline rather than a ceiling. About SMRT: Singapore’s Largest Transport Network Operator One Billion Journeys Per Year — and the Customer Service Challenge Behind Them SMRT is Singapore’s principal public transport network operator — responsible for the rail and bus infrastructure that keeps one of the world’s most efficient cities moving. With 102 train stations and over 1,400 buses, SMRT delivers more than one billion journeys per year — making it one of the highest-volume public transport operations in Southeast Asia. Behind that operational scale sits an equally significant customer service operation. Every day, more than 1,000 employees are involved in managing customer enquiries, complaints, compliments, and feedback — across multiple channels, in real time, with the expectation of world-class responsiveness that Singapore’s residents and visitors demand. For Dave Ong, Head of Passenger Service at SMRT, the mission is clearly defined: “Our mission is to enhance the lives of Singapore citizens with a transport system that is safe, reliable and customer-centric.” Delivering on that mission — consistently, at scale, across every channel a customer might use — required a technology transformation. The Challenge: Managing 1,000+ Customer Service Staff Across Fragmented Channels Multi-Channel Complexity: Email, Calls, WhatsApp, Facebook, SMS and More By 2016, SMRT’s customers were contacting the organization through a wide and growing range of channels — email, phone calls, fax, letters, WhatsApp, Facebook, and SMS. Each channel represented a different queue, a different workflow, and a different set of management challenges. Without a unified system to aggregate all of these interactions, SMRT’s customer service team faced the challenge that faces every organization managing multi-channel contact at scale: the risk that cases fall through the cracks, response times vary by channel, and management has no real-time visibility into how the overall operation is performing. “Today, customers contact us through many different ways — emails, calls, faxes, letters, WhatsApp, Facebook and SMS,” says Dave Ong. “We need a case-handling system that helps us manage new processes for handling all these interactions, and a reporting system that helps us visualize our performance in real time.” The manual effort involved in sorting, routing, and tracking cases across all these channels was consuming staff capacity that should have been directed toward actual customer service. Hundreds of lost-and-found cases added further complexity — requiring dedicated workflows and tracking across multiple teams and locations. The Innovation Problem: New Projects Taking Too Long to Deploy Beyond day-to-day customer service management, SMRT had an ambition to launch a series of innovation projects — new service initiatives that required custom business applications, document management, stakeholder engagement workflows, and reporting capabilities. Under the old approach, each new project required SMRT to source, evaluate, procure, and deploy new technology — a process that was slow, expensive, and required capital investment in new infrastructure. The organization needed a platform that would let them build, test, and deploy new applications quickly, without infrastructure overhead. “When setting up an innovation project, we want a system that would allow us to adapt and be more creative,” says Mr. Ong. The Solution: Microsoft Dynamics 365 Customer Service in the Cloud Why SMRT Chose Dynamics 365 Over Other CRM Platforms In late 2016, SMRT selected Dynamics CRM Online — now part of Microsoft Dynamics 365 Customer Service — as the foundation for its enterprise customer service and engagement transformation. The cloud-based deployment provided three critical advantages that on-premises alternatives could not: With implementation support from Customer Capital Consulting, SMRT configured Dynamics 365 to serve as the single, integrated system for all customer interaction management across the organization. One Unified System for Every Customer Interaction The implementation transformed how SMRT’s customer service operation handled the full volume of interactions it received every day. The new Dynamics 365 environment: Results: How Dynamics 365 Transformed SMRT’s Customer Service Operation 2.3x Productivity Increase: Managing More Cases With the Same Team The headline result from SMRT’s Dynamics 365 implementation is one of the most compelling productivity metrics documented in any CRM case study: a 2.3-times increase in the volume of customer cases managed by the same team. “Our ability to handle public feedback volume has increased 2.3 times,” says Dave Ong. “Dynamics 365 reduces manual effort and frees up customer-service staff to handle cases with a personal touch. This helps us achieve our strategic goal of making all interactions with our contact centre more personal.” This result is not primarily about working faster — it is about eliminating the non-productive overhead that was consuming staff capacity before the implementation. When automated workflows handle case sorting, routing, reminders,

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