---
title: "Hallmark’s Data Overhaul: How A 60% Cost Cut Made Analytics Actually Useful"
description: Hallmark’s analytics overhaul shows how cloud dashboards and data analytics cut IT costs 60 percent and enable real-time business decision making
author: Darie Nani (Editor-in-Chief)
date: 2025-07-10T17:44:50.000Z
updated: 2026-02-26T18:02:17.937Z
canonical: https://www.sovereignmagazine.com/article/hallmark-s-data-overhaul-how-a-60-cost-cut-made-analytics-actually-useful
image: https://cdn.nanimediahouse.com/analytics-Hallmark-Xoriant.jpg
categories: Productivity
content_type: Feature
region: United States
publication: Sovereign Magazine
about:
  - type: Organization
    name: Xoriant
    description: "Xoriant is a Sunnyvale, CA headquartered digital engineering firm with offices in the USA, Europe, and Asia. From startups to Fortune 100, we enable innovation, accelerate time to market and ensure client competitiveness across industries.\n\nAcross all our focus areas – digital product & platform engineering, experience design, data engineering and IoT – every solution we develop benefits from our product engineering DNA and culture of innovation. It also includes successful methodologies, framework components, and accelerators for rapidly solving critical client challenges. For 30 years and counting, we have taken great pride in the long-lasting, deep relationships we have with our clients. For further information about Xoriant, please visit https://www.xoriant.com/ ."
    url: https://www.xoriant.com/
---

For decades, Hallmark’s data teams worked the same way most large companies do: slow reports, endless IT bottlenecks and separate systems for each region. Getting answers took weeks. Today, the greeting card giant runs real-time dashboards across its global operations, cut analytics costs by 60% and turned insight generation into routine practice. The reason wasn’t hype about digital change – it was urgent necessity and a ruthlessly practical approach to [fixing what didn’t work](https://www.sovereignmagazine.com/article/the-new-playbook-for-corporate-restructuring-lessons-from-starbucks-bold-overhaul).

The story matters because Hallmark’s experience shows what many established companies face: legacy systems that worked fine years ago but now struggle with growing data volumes and faster business demands. The difference is that Hallmark actually pulled off the change, delivering measurable results in tight timeframes rather than getting stuck in endless planning cycles.

## The Old Setup That Stopped Working

Hallmark’s previous analytics setup typified what many large retailers still use: [MicroStrategy-based legacy reporting systems](https://www.integrativesystems.com/power-bi-vs-microstrategy/) that required heavy IT involvement for even basic changes. Each region – US, Canada and international operations – ran separate reporting structures. When business teams needed insights, they filed requests with IT departments and waited.

This approach worked when data needs were predictable and business moved at a gentler pace. But Hallmark found itself handling more complex data requirements, from inventory optimisation to customer personalisation, while business stakeholders demanded faster turnarounds. The old system became a constraint rather than an enabler.

## What Actually Got Done

Rather than a lengthy programme, Hallmark’s approach was focused and fast. Working with [Xoriant](https://www.xoriant.com/), the company migrated 180 reports from legacy MicroStrategy servers to Power BI and Tableau in seven weeks. The speed came from using Xoriant’s Data Xplorer tool to assess and scope the migration systematically, then executing the transition without getting bogged down in perfecting every detail.

Gopal Dhandapani, Director of Data Engineering at Hallmark, emphasised the pace: ‘Xoriant’s exceptional agility and deep expertise have been instrumental in helping us transition to a modern, performance-oriented Power BI environment. Completing the migration of 180 reports in just seven weeks, while ensuring high quality and user acceptance, reflects the strength of our collaboration.’

The technical work involved more than just moving reports. The teams optimised large-scale datasets for [real-time analytics](https://www.sovereignmagazine.com/article/real-time-supply-chain-decisions-how-pluto7-s-ai-platform-is-being-put-to-work), created what they called ‘pixel-perfect transaction dashboards’ and established a secure, cloud-native architecture. The goal was practical: give business users the insights they needed without requiring IT intervention for routine requests.

## Where The Cost Savings Actually Came From

The 55–60% reduction in total cost of ownership wasn’t just about cheaper software licences, though that played a role. The real savings came from reducing manual effort and IT dependency. With cloud-native dashboards, business teams could access real-time data without submitting requests and waiting for IT resources.

The operational changes were visible across Hallmark’s business functions. Product assortment planning, which previously required complex manual processes, now uses [automated dashboards](https://www.sovereignmagazine.com/article/finance-chiefs-spent-millions-on-erps-they-hate-maximor-s-ai-is-now-fixing-that-without-start-2). Customer personalisation efforts can access current data rather than week-old reports. Inventory optimisation happens with real-time visibility rather than periodic updates.

These changes matter because they represent actual business value rather than theoretical efficiency gains. When teams can [access current data](https://www.sovereignmagazine.com/article/kaizen-raises-21m-to-challenge-gov-tech-incumbents-as-federal-spending-opens-up) for planning decisions, they make better choices. When reporting doesn’t require IT intervention, business moves faster.

Companies switching to Power BI typically see lower total costs compared to traditional enterprise reporting platforms, particularly when factoring in reduced IT overhead and faster deployment cycles.

## What ‘Software-Defined Business’ Actually Means

Mukund Rao, President of Global Markets at Xoriant, described Hallmark’s project as an example of companies ‘becoming software-defined businesses’. Strip away the jargon, and this means something practical: using software systems to make business decisions faster and more accurately.

For Hallmark, this meant moving from periodic reporting to continuous insight generation. Instead of monthly or weekly reports that provided historical snapshots, business teams now [access current data](https://www.sovereignmagazine.com/article/the-business-of-talent-learning-development-is-learning-finally-prove-its-worth) that informs immediate decisions. Planning cycles become more responsive. Customer insights drive real-time personalisation efforts.

The ‘software-defined’ concept also means that business logic gets embedded in systems rather than requiring manual intervention. When inventory levels change, dashboards update automatically. When customer behaviour shifts, personalisation algorithms adjust without human oversight. The software handles routine data processing so people can focus on interpretation and action.

This approach has become essential as business cycles accelerate and data volumes grow. Companies that rely on manual reporting processes find themselves making decisions based on outdated information while competitors work with current data.

## The Real Challenge: Getting People To Use New Systems

Technical migration was only part of Hallmark’s challenge. The harder problem was getting users comfortable with interactive dashboards after years of receiving static reports. [User adoption challenges](https://www.sovereignmagazine.com/article/the-48-question-model-shaking-up-company-culture-as-austria-s-leaders-want-honest-feedback) often determine whether analytics projects succeed or fail.

Hallmark’s success came from focusing on user acceptance during the migration process rather than treating it as an afterthought. The seven-week timeline forced teams to prioritise the most important reports and ensure they worked properly in the new environment. Users could see immediate benefits rather than waiting months for a complete overhaul.

The approach shows lessons learned from other enterprise migrations. Successful dashboard adoption requires customisation to fit user roles and workflows, ongoing training tailored to different skill levels, and clear demonstration of system benefits.

## What Comes Next

Hallmark’s current system provides a foundation for more advanced analytics applications. The company plans to expand into predictive analytics and AI-driven insights that go beyond current reporting capabilities. [Real-time dashboards](https://www.sovereignmagazine.com/article/growing-your-business-with-big-data) become the starting point for automated decision-making systems.

The challenge will be maintaining momentum while users get comfortable with current capabilities. Many enterprise analytics projects succeed in the initial migration but struggle with continuous improvement and expanding usage. Sustained cloud adoption requires ongoing support and gradual introduction of new features.

Hallmark also faces the challenge of global alignment. While the initial migration focused on core operations, expanding consistent analytics capabilities across all regions and business units will require careful coordination to avoid recreating the silos that the project was designed to eliminate.

## The Practical Lesson

Hallmark’s experience demonstrates that major analytics overhauls are possible when companies focus on practical outcomes rather than comprehensive solutions. The 60% cost reduction and seven-week timeline happened because the project had clear objectives: reduce IT dependency, provide real-time insights and cut operational costs.

The lesson for other companies isn’t about the specific tools Hallmark chose, but about the approach. Start with urgent business needs rather than technological possibilities. Prioritise speed over perfection. Measure success by actual usage and business impact rather than technical specifications.

Most importantly, treat analytics modernisation as a business project rather than a technology project. The goal is better decisions and faster responses, not impressive dashboards. When companies keep that focus, they’re more likely to achieve results that matter rather than projects that look good in presentations but don’t change how work gets done.

**About Xoriant**

Xoriant is a Sunnyvale, CA headquartered digital engineering firm with offices in the USA, Europe, and Asia. From startups to Fortune 100, we enable innovation, accelerate time to market and ensure client competitiveness across industries.

Across all our focus areas – digital product & platform engineering, experience design, data engineering and IoT – every solution we develop benefits from our product engineering DNA and culture of innovation. It also includes successful methodologies, framework components, and accelerators for rapidly solving critical client challenges. For 30 years and counting, we have taken great pride in the long-lasting, deep relationships we have with our clients. For further information about Xoriant, please visit https://www.xoriant.com/ .

[Website](https://www.xoriant.com/)