Report Migration: Moving to Modern TechnologyHeading

By Anshuman Swain, Sr. Director of Data & Analytics

Many organizations are still using antiquated software or hardware. While these systems may still meet the requirements they were originally designed for, they are typically based on old technologies that are no longer common. The incompatibility with new technologies can bring technical debt.

Migrating from one business intelligence (BI) tool to another requires well-thought-out design, removal of waste and redundancies, the advantages provided by automation, and experienced execution to eliminate project risks and reduce costs.

Strategies to Accelerate Migration & Reduce Risk
There are three types of BI system migration: rehost, replatform, and replace.

Rehosting migration is a means of migrating an application and its associated assets to a new infrastructure (cloud/modern) as-is. Lift-and-shift of the application requires focusing on the configuration to achieve the end goal.

Replatforming migration is a means of moving applications to the cloud/modern platform without major changes but taking advantage of the benefits of the modern technology environment. This migration process requires some level of code re-writing.

Replacing migration is a means of retiring the application and replacing it with a new cloud-native /modern application. This migration process is a bit complex and demands more planning, however, is more scalable, resilient, and provides a long-term cost-benefit.

Key Considerations for Report Migration:

  • Report Catalog: Report metadata catalog provides a great opportunity to understand the usage of reports, scope to merge multiple reports into one, and eliminate redundancies. The catalog also helps to understand how the BI platform is used and provides the opportunity for adoption and scale-up.
  • Reconcile and Reduce: Understand usage, eliminate redundant reports, build a lean platform, and enable governance for the analytics platform.
  • Accelerators: Leverage Software-as-a-Service (SaaS) products to accelerate migration and ensure quality is maintained.
  • Analytics at Scale: Design the solution architecture considering analytics usage cases, adoption, and business growth. Map out the solution to your future state.
  • Project Team: Identify stakeholders and executive support, onboard the right technical team, and build a governance model to support the project execution.
  • Implement a Training Program: Train end-users, developers, and admins for maximum adoption and success.

Gartner notes six common mistakes that cause migration costs to go off the rails:

  • Wrong Team
  • Wrong Emphasis
  • Mistimed Work Effort
  • Rushed Tool/App Assessment
  • Poor Future Sate Architecture
  • Hidden Costs

Migrating to a modern business intelligence tool doesn’t need to be difficult. Selecting the right platform and migration approach can help your organization realize the value of its data quickly, and efficiently.

Paradigm Technology’s Report Migration team accelerates the migration process, helping organizations by enabling self-service analytics, building a single source of truth, streamlining BI tools across the organization, and eliminating technical debt. Our synergistic services are easy and intuitive, enabling engagement and teamwork.

For more information and to see how Paradigm can help you in your Digital Intelligence journey, get in touch with one of our Data & Analytics experts today.

Recent Posts

Executive Perspective: Why Securing Your Data is the Key to Winning with AI

As CXOs, we’re all focused on leveraging AI to drive efficiency, innovation, and competitive advantage. The conversation often starts with infrastructure (GPUs, LLMs, and copilots), but let’s be clear: AI doesn’t run on GPUs. It runs on data. And if our data isn’t secure, nothing else matters. Unsecured and unclassified data undermines trust, exposes us to risk, and jeopardizes the very AI strategies we’re betting our futures on. It’s not about chasing the next shiny tool; it’s about building a foundation that allows AI to scale safely, responsibly, and securely.

Quantifying the Value of Data in Financial Services

In the financial services sector, data is a critical asset that drives profitability, risk management, regulatory compliance, and competitive edge. However, measuring its value remains challenging for many CFOs across sectors of the financial services industry regardless of organizational size or country of operations. CFOs rely on accurate data for forecasting, budgeting, and strategic planning. Quality data leads to better decision-making, optimized capital allocation, and swift responses to market changes. It is also vital for risk management, regulatory compliance (e.g., BCBS 239, Basel III, AML/KYC), and avoiding fines and reputational damage. “Fit for Business Use” data also supports customer retention, personalized services, and improved revenue stability. Data-savvy CFOs leverage insights for long-term growth.

AI Starts with Data: Go From Hype to Results

AI continues to dominate the conversation in business. From executive meetings to strategic roadmaps, AI is no longer just a trend but a real driver of transformation. The challenge is that while nearly every organization is talking about AI, very few are prepared to use it in a way that delivers measurable outcomes and lasting impact. The difference between hype and outcomes almost always comes down to two things: the quality of your data and your organization’s readiness to execute.

Exciting Updates from Informatica World: Paradigm Embraces the Future of Agentic AI

The digital landscape is evolving rapidly, and staying ahead means embracing the latest innovations in data management and artificial intelligence. At this year’s Informatica World, Paradigm is thrilled to share the groundbreaking advancements unveiled by Informatica, centered around their latest agentic AI solutions on the Intelligent Data Management Cloud (IDMC) platform.

Modernizing PowerCenter: The IDMC Way – Better, Faster, Cheaper

For many organizations, Informatica PowerCenter has been the workhorse of their data integration for years, even decades, reliably driving ETL processes and populating data warehouses that feed BI reports. However, this longevity often leads to a complex environment that can hinder agility and innovation.

Boost Growth with Data-Driven Hiring for Boutique Consultancies

Consistency is key to a boutique consultancy. Delivering quality services day in and day out, even as client demand fluctuates, relies heavily on having the right talent at the right time. Perhaps one of the largest operational challenges for small and mid-sized consulting firms, though, is matching recruitment cycles with cyclical demand. Without scalable, data-driven talent practices, consultancies can suffer from misaligned capacity, lost revenue streams, and stalled growth.

Strategies for a Successful Journey in Building the Dream Team

In the whirlwind world of project management, the success of a project often hinges on the strength and consistency of the team behind it. Imagine embarking on a journey where building a high-performing project team is not just about assembling a group of skilled individuals; it’s about fostering collaboration, trust, and a shared sense of purpose. Based on my personal experiences, let me take you through this journey with some strategies I use to help you build and lead a high-performing project team.

The Ultimate Guide to AI-Enhanced APIM Analytics for Enterprise Success

Enterprises increasingly rely on Application Programming Interface (API) Management (APIM) to streamline their operations, enhance customer experiences, and drive innovation. Azure API Management is a comprehensive solution enabling organizations to manage, secure, and optimize their APIs efficiently. However, beyond API management, APIM analytics – particularly when integrated with AI and data analytics – empowers senior executives with critical insights for real-time decision-making.

Why PMOs that Leverage Power BI are More Successful

Project Management Offices (PMOs) are increasingly turning to Microsoft Power BI as a game-changing tool to enhance their project management processes. By leveraging data visualization and analytics, PMOs can make informed decisions, streamline reporting, and improve overall project outcomes.