Your ultimate modernization guide:Taking your data from now to next
Drive innovation with data modernization
Strategies for agile transformation
As innovation accelerates, data modernization and cloud migration are top priorities for forward-thinking organizations. But making the leap from legacy data and systems to modern cloud environments and architectures isn’t easy—and many companies find themselves stuck balancing day-to-day operations with long-term transformation goals.
Learn how to reduce friction in your modernization strategy while keeping your data secure, reliable, and ready for what’s next.
Demo: Strategize for cloud modernization and new data management architectures
Modernize your data management
Cloud migration
Move beyond legacy systems with a cloud strategy that supports broader data access, scalability, and AI & advanced analytics. Make the shift from on-premises infrastructure to the cloud—smoothly, securely, and without disrupting your business.
Mainframe modernization
Ensure your data is agile and consistent across IT platforms. Use replication capabilities to capture changes in data from the mainframe to the cloud, or from cloud platforms and applications back to the mainframe.
Data architectures
Enable timely access, integration, and management of data and metadata across diverse environments using modern, innovative frameworks like data fabric and data mesh.
Automation
Eliminate error-prone manual data entry and management processes while gaining business agility, process efficiency, and improved data integrity for complex, data-centric processes.
Fuel business growth
Boost operational efficiency
Connect data across IBM Z, IBM i, Oracle, SAP, and more to eliminate silos, streamline operations, and reduce manual work through automation.
Reduce costs
Eliminate errors, reduce storage waste, and minimize reliance on legacy systems to ensure compliance and lower labor and maintenance costs.
Accelerate trusted data delivery
Gain a comprehensive view of your data by merging traditional systems with modern architectures – enabling optimized operations, analytics, and reporting.
Data modernization use cases
AI readiness
Enable your AI models to automate operations effectively and accurately. Bridge the gap between systems by replicating data from core transactional systems to the cloud.
Regulatory compliance
Ensure compliance with evolving regulations. Leverage modernized data platforms and architectures to improve data governance and security.
Customer experience and satisfaction
Enable personalized products, faster time-to-market, and enhanced customer experiences by integrating data for a comprehensive customer view.
Precisely Data Strategy Consulting
It’s not uncommon for data management initiatives, like data modernization, to lose momentum. Maybe you’re simply not sure how to get started. Or perhaps your existing programs are struggling to deliver real business value. That’s where Precisely Data Strategy Consulting comes in.
Ready to move forward? Contact our Data Strategy Consulting team to learn how you can get started today.
With deep domain and industry consulting expertise, we help your team:
- define a tailored strategy
- build a strong business case
- track meaningful metrics, so you can deliver value to your organization – fast
Take the next step toward data modernization
Maximize your AI’s potential by overcoming the data challenges that hold you back. Your AI success hinges on data integrity – and there’s no time to waste. Explore these resources and contact our team of experts to get started.