When a global leader like AstraZeneca set out to replace its enterprise CRM, failure wasn’t an option. Siebel had reached its limits, it was costly to run, hard to evolve, and misaligned across regions. The company needed a cloud-native path forward, but also a decision process executives could trust: neutral, transparent, and anchored in business value.
Prolifics, partnering with Enable, brought an engineering-first, vendor-agnostic methodology. We interviewed stakeholders across sales, medical, and compliance; translated pain points into weighted requirements; and built a side-by-side vendor demonstration script to ensure apples-to-apples evaluation. Our team modeled 3–5-year ROI/TCO, ran sensitivity analyses, and surfaced risks early with mitigation plans. Executive dashboards and heat maps made the trade-offs unmistakable.
The outcome: AstraZeneca selected Veeva, backed by defensible scoring, proven life-sciences maturity, robust security, and a scalable, cloud-native roadmap. We didn’t stop at the decision. A phased migration and adoption plan, API-first integration strategy, and role-based training blueprint accelerated time-to-value while reducing run costs. This is how high-stakes technology choices should be made: evidence-led, compliant, and future-ready. Read the full case study to see the measurement matrix, ROI model, and roadmap, and discover how Prolifics de-risks complex transformations with speed and certainty. See what confident transformation looks like today.
In the age of digital transformation, enterprises are realizing that data is no longer just an asset, it’s the foundation of innovation, resilience, and sustainability. According to IDC, over 80% of CEOs view data as a core business differentiator, yet legacy systems, siloed data, and outdated infrastructures continue to hinder progress. This is where cloud-driven data modernization becomes a game-changer.
Data modernization services are the process of updating and transforming an organization’s data systems, infrastructure, and practices into modern, cloud-based formats. It enhances accessibility, security, and usability while unlocking greater business value. Modernization typically involves migrating data from legacy systems to modern data platforms, integrating advanced technologies, and implementing strategies that improve data-driven decision-making, business intelligence, and overall outcomes.
Enterprises that embrace this shift are not just improving operations, they’re reimagining entire business models and preparing for enterprise transformation with data modernization.
Cloud Services in Data Modernization
The cloud has evolved into the backbone of digital transformation. From storage and scalability to real-time analytics and AI integration, cloud services are central to cloud-based data modernization. Services such as data lakes, cloud-native warehouses, serverless computing, and AI-driven platforms give enterprises the agility to harness insights quickly and securely.
By shifting to cloud data modernization solutions, organizations can:
Eliminate data silos and unify insights across departments.
Enable hybrid and multi-cloud models for flexibility.
Reduce infrastructure costs while scaling innovation.
Ensure disaster recovery and data security with built-in compliance.
Understanding Enterprise Data Modernization: Why Do Enterprises Need It?
Enterprises need modernization for three critical reasons:
Agility and Competitiveness – Businesses must adapt to dynamic markets and consumer demands faster than ever. Legacy systems cannot deliver real-time intelligence.
Innovation Enablement – Cloud-based data modernization allows for AI, machine learning, and advanced analytics integration.
Cost Efficiency and Sustainability – Modern data platforms optimize storage, reduce redundancies, and enable eco-friendly infrastructure utilization.
In essence, modernization transforms data from a static archive into a dynamic utility, empowering smarter, faster decision-making while fueling business transformation with cloud.
The future of data modernization lies in accelerating intelligence and resilience, with cloud as the foundation.
Future Trends in Cloud Modernization Strategy
As enterprises look ahead, key trends include:
AI-first Modernization: Cloud platforms embedding AI for predictive analytics.
Serverless and Edge Integration: Processing data closer to the source.
Data Democratization: Making insights accessible across the enterprise.
Green Cloud: Providers focusing on energy efficiency and carbon-neutral operations.
Quantum-Ready Cloud: Preparing enterprises for next-gen computing.
These trends highlight the future of data modernization, making cloud-first strategies a necessity, not an option, for enterprise transformation with data modernization.
Industries Embracing Business Transformation with Cloud
Healthcare – Real-time patient analytics, predictive diagnostics, and secure compliance.
Finance – Fraud detection, customer insights, and automated compliance.
Retail – Personalized customer experiences powered by modern data platforms.
Utilities & Energy – Smart grids, demand forecasting, sustainable energy optimization.
Industries across the spectrum are discovering that cloud-driven data modernization enhances business intelligence, resilience, and sustainability.
Integration of Cloud Technology and Business Intelligence
The integration of cloud platforms with BI tools creates a powerful synergy. Modern BI tools leverage cloud-based data modernization to:
Enable real-time dashboards and reporting.
Improve decision-making accuracy.
Support predictive and prescriptive analytics.
Scale insights across global operations.
This integration transforms organizations into insight-driven enterprises where decision-making is proactive rather than reactive.
Accelerating Your Data Modernization Journey
At Prolifics, we recognize that modernization is not just about technology, it’s about building sustainable, future-ready enterprises.
Here’s how we accelerate your journey:
Tailored cloud modernization strategy and adoption roadmaps.
Seamless migrations with data modernization services that ensure security and scale.
Hybrid and multi-cloud expertise aligned to compliance and business needs.
AI and analytics integration for predictive intelligence.
Governance by design for compliance and trust.
Focus on sustainability and eco-friendly cloud usage.
With deep partnerships across providers and decades of expertise, we ensure business transformation with cloud isn’t just an IT upgrade but a reinvention of how your enterprise thinks, operates, and competes.
Conclusion
The future of data modernization is here, and it’s shaping the next era of digital transformation. With cloud as the backbone, enterprises can eliminate inefficiencies, embrace AI, and achieve enterprise data modernization that drives agility, sustainability, and innovation.
The time to modernize is now. Don’t let legacy systems hold back progress. Partner with experts to accelerate your journey, adopt cloud data modernization solutions, and secure enterprise transformation with data modernization that will future-proof your business.
Ready to modernize? Contact Prolifics today and turn your data into your most powerful asset.
Modernize how your teams learn. We design and deliver learning, custom courses, microlearning, simulations, video, and gamified experiences that plug into your LMS for consistency and measurable outcomes. The result: faster upskilling, lower costs, continuous learning.
Tackle today’s training gaps: low engagement, compliance risk, rising spend, weak ROI, and skill shortages. Our approach blends user-centric design, microlearning, blended delivery, and gamification, with AI-driven personalization and analytics. Learners get relevant paths; leaders get proof of impact.
What we deliver: • Custom eLearning and content modernization • Rapid and mobile-first development • Scenario-based simulations • Translation, localization, and knowledge support • AI analytics to optimize journeys
Why Prolifics: • 91% repeat engagement • 97% defect-removal efficiency • 40+ years, 20+ industry awards • Trusted by 150+ Fortune 1000 clients
Proven outcomes across IT, finance, healthcare, and life sciences: higher completion and productivity, reduced audit penalties, accelerated digital transformation, and stronger training ROI. From pilot to enterprise rollout, our structured delivery ensures seamless implementation, scalable adoption, and consistent learner experience.
Partner with Prolifics to turn learning into performance. Let’s build content that advances skills, protects compliance, and fuels growth. Start your eLearning journey today.
Grab your cup of coffee, tea or your beverage of choice and join your JAM/Panther team for our Coffee Break event! Have a front row seat to a demonstration of our latest Panther release 5.60.
When: Wednesday, Oct 29th, 10:00 am – 10:30 am EST
Enterprises relying on IBM i modernization (formerly AS/400 modernization) systems know it’s a powerhouse for mission-critical operations—trusted for reliability, performance, and cost efficiency. Yet modernizing legacy RPG-based applications remains a major hurdle: technical debt, scarce RPG expertise, and the risk of disrupting critical workflows transform a high-stakes challenge. To bridge this gap, IBM is introducing IBM watsonx Code Assistant for i, a generative AI powered coding assistant purpose-built to accelerate modernization with context-aware assistance directly in the developer’s IDE. IBM watsonx Code Assistant for i is at the center of a new wave of IBM i modernization, helping enterprises tackle RPG code challenges with AI-powered efficiency.
Purpose-Built for RPG & IBM i Workloads
Built on IBM’s flagship Granite code model, fine-tuned specifically for RPG and IBM i modernization applications, the assistant empowers developers—novices and veterans alike—with features to explain, document, and eventually generate or transform RPG code. Starting with context-aware code explanations, future updates will enable unit test generation, code transformations, and more, all integrated into Visual Studio Code environments.
This contextual intelligence addresses a glaring enterprise pain point: shrinking pools of RPG-trained developers. The RPG Code Assistant acts as a virtual mentor, helping newcomers understand complex codebases and veterans to accelerate enhancements—reducing ramp-up time and preserving institutional knowledge.
From Private Preview to Public Launch
Initially unveiled in early 2025 at IBM Think and later showcased at COMMON POWERUp, watsonx for IBM i is currently in private preview, with a public beta rolling out to early adopters soon. The first release will focus on code explanation features, with generation and test support arriving later in the year.
Clients will have cloud, on-prem, or hybrid deployment flexibility, aligning with governance models and data requirements. With AS/400 modernization becoming a pressing need, this flexibility ensures enterprises modernize at their own pace while maintaining compliance.
Why It Matters—Now
Accelerated Modernization – Developers can quickly comprehend and document legacy code, speeding up modernization projects and reducing delays.
Minimized Risk – Built-in intelligence and context-aware guidance help mitigate common errors and reduce disruption to critical business applications.
Talent Enablement – Bridging skill gaps ensures continuity even as seasoned RPG developers retire.
Future-Ready – With IBM AI coding tool transformation and test generation on the roadmap, enterprises can look forward to tangible productivity gains.
Prolifics: Your Trusted AI Modernization Partner
At Prolifics, we specialize in blending emerging AI capabilities into your core legacy modernization journey, safely and effectively. Here’s how we can help you activate IBM watsonx Code Assistant for i:
Assessment & Strategy — We evaluate your current IBM i modernization AI architecture and pinpoint which applications would most benefit from RPG modernization.
Pilot & Deployment – From private beta to production readiness, we provide hands-on deployment, integration into your existing IDEs and CI/CD pipelines, and enablement for your teams.
Governance & Best Practices — Ensuring IP safety, code quality, and compliance remains core to our approach.
ROI Realization – With context-aware code explanation and upcoming transformation features, you can expect faster project cycles, fewer errors, and stronger developer onboarding.
Take the Next Step Today
Ready to transform your IBM i modernization landscape with AI? Join the waitlist for IBM watsonx Code Assistant for i, and partner with Prolifics to unlock next-gen developer productivity and modernization speed safely and strategically.
In today’s fast-evolving AI landscape, delivering systems that are safe, accurate, and aligned with your brand values is no longer optional, it’s mission-critical. Yet traditional approaches to AI oversight, manual review, static classifiers, and rigid monitoring workflows, are often inefficient, costly, and opaque. Enter Databricks’ breakthrough innovation: the Prompt-Guided Reward Model (PGRM), a flexible, scalable, and interpretable solution that reimagines how organizations evaluate and govern AI behavior. With Databricks PGRM, businesses now have a tool that combines scalability with adaptability, setting a new standard in oversight.
The Challenge: Balancing Flexibility, Scale, and Transparency in AI Oversight
Think about this: Leveraging a Large Language Model (LLM) as a “judge” lets you adapt evaluation rubrics on the fly, but LLMs are slow, expensive, and notoriously poor at estimating their own confidence. On the other hand, reward models (RMs) offer fast, scalable, and calibrated scoring, but are rigid, inflexible, and require retraining to adjust criteria.
That’s a major operational dilemma:
Need adaptability? LLM judges give you that—but at a steep cost.
Need efficiency and confidence? Reward models deliver, but only when the requirements are static.
This is where Databricks PGRM shines, it brings together the flexibility of LLM judges with the efficiency and calibration of reward models. This innovation reflects a broader shift toward AI-Powered Data Governance, where oversight adapts in real time without sacrificing accuracy.
PGRM: The Hybrid Champion for AI Quality Control
PGRM is a revolutionary new approach that unlocks three game-changing capabilities:
Instructability at Scale Just like an LLM judge, PGRM can follow arbitrary natural language prompts. Want to measure “factual correctness,” “brand voice adherence,” or “safety compliance”? Just change the prompt. No retraining needed.
Efficiency and Calibration of Reward Models As a classifier, PGRM runs fast and at scale, with no expensive text generation per evaluation. It also provides confidence scores, helping you triage uncertain cases and focus human review where it matters most.
Unified Governance & Continuous Improvement PGRM harmonizes evaluation, monitoring, and reward modeling with a single flexible prompt, so you can surface top-performing responses, fine-tune models using reinforcement learning, and reduce manual effort without sacrificing oversight.
This aligns with the Databricks AI Governance Framework, which emphasizes responsible oversight, transparency, and performance at enterprise scale.
Proven Success: Benchmarks That Speak Volumes
Judge-like accuracy: Achieves an average of 83.3%, nearly matching GPT 4o (83.6%) on evaluation tasks like answer correctness and context faithfulness.
Reward modeling leadership: On the new RewardBench2 benchmark, it ranks #2 as a sequential classifier and #4 overall, with a score of 80.0, outperforming GPT 4o (64.9) and Claude 4 Opus (76.5).
That makes the Prompt-Guided Reward Model the first system to deliver frontier-level performance as both an instructable judge and a highly calibrated reward model, without compromising on efficiency.
Real-World Gains: What Adopters Can Unlock
Unified AI Governance with One Prompt No more juggling disjointed monitoring tools. With Databricks PGRM, a single prompt controls judging, scoring, fine-tuning, and oversight, making AI evaluation more streamlined, transparent, and adaptable.
Smarter Use of Expertise PGRM’s calibrated confidence helps identify which decisions are borderline or “low confidence,” directing domain experts to review only what matters most. This supports LLM oversight practices by combining automation with human-in-the-loop governance.
On-Demand Flexibility Without Retraining Business needs evolve. With PGRM, you simply adjust the prompt. Want to tighten safety compliance today, usher in brand tone guidelines tomorrow? Prompt it, PGRM instantly adapts. No costly model retraining needed.
Reward Said—and Resolved Use the Prompt-Guided Reward Model to automate the selection of best responses, feed them back for model fine-tuning via RLHF, and build continuous improvement loops. Better answers, fewer manual reviews, on autopilot.
In short: Databricks PGRM delivers what neither judges nor reward models could offer alone. This reflects Generative AI governance in action, combining Databricks innovation, AI-Powered Data Governance, and strong Databricks AI Governance for the future of AI governance.
Final Pitch: Why Your AI Should Embrace PGRM Now
In today’s world, building responsible, aligned, and high-performing AI is not a one-time effort, it’s an ongoing journey. Databricks PGRM supercharges that journey with:
Adaptability Instantly pivot your evaluation criteria via prompt tweaks, without model training delays.
Confidence & Efficiency Score thousands of responses at scale, complete with calibrated confidence to guide smart reviews.
Continuous Improvement Identify top answers, replay them into RL pipelines, and incrementally elevate your AI’s performance.
Integrated Oversight Collapse siloed tools into one unified, prompt-powered model—simpler, clearer, more powerful control.
Forward-looking organizations are also exploring the future of AI governance, where technologies like LLM oversight, Responsible AI tools, and Generative AI governance play critical roles in reducing risk while amplifying innovation.
Ready to Transform Your AI’s Quality Culture?
PGRM is not just a model, it’s a new paradigm for AI alignment, governance, and continuous improvement. Whether you’re enforcing safety protocols, maintaining factual accuracy, or preserving brand voice, PGRM offers a leaner, smarter path forward. By adopting AI-Powered Data Governance strategies alongside Databricks innovation, enterprises can confidently scale oversight with measurable impact.
The future of AI governance is here. Judging with confidence doesn’t just feel better, it performs better. And with Responsible AI tools like the Prompt-Guided Reward Model, Databricks AI Governance, and ongoing Databricks innovation, your organization can lead the charge.
Every successful digital transformation starts in the cloud. Cloud based logistics solutions play a critical role in today’s digital transformation journey. Cloud adoption gives businesses the scale, security, and real-time visibility they need to operate with agility. But the cloud isn’t the end goal; it’s the launchpad. Once that foundation is in place, AI takes over as the true value driver, turning unified data into sharper forecasts, smarter automation, and entirely new ways to serve customers. Together, cloud and AI move organizations from simply keeping up to leading the way in their industries.
The retail and consumer packaged goods (CPG) industries are under constant pressure. Shoppers demand convenience, speed, and personalized experiences, while supply chains face ongoing disruptions from inflation, shifting consumer demand, and geopolitical volatility. The solution many leaders are embracing is cloud-based logistics solutions.
A McKinsey report estimates that full adoption of cloud technologies could unlock trillions in EBITDA value by 2030, for retail and CPG firms, which translates into greater agility, resilience, and the ability to embed AI-driven logistics optimization into everyday operations. Cloud migration is no longer optional; it’s a competitive necessity.
– Source: McKinsey & Company
Challenges Driving Cloud Based Logistics Solutions in Retail & CPG
Despite years of investment, many supply chains remain constrained by outdated systems:
Legacy infrastructure slows the pace of innovation and inflates costs.
Demand volatility makes forecasting and replenishment difficult.
Limited visibility across warehouses, suppliers, and carriers results in stockouts or excess inventory.
Skills gaps prevent organizations from capturing the full benefits of automation and AI.
These realities highlight why retail companies are migrating to the cloud and why logistics cloud transformation has moved to the top of executive agendas.
Key Benefits of Cloud-Powered Logistics
1. Elastic Scale and Cost Efficiency
Cloud platforms allow organizations to scale resources up or down based on demand. During peak seasons, capacity expands seamlessly; in slower months, costs are minimized. This flexibility creates significant cost savings by moving the supply chain to the cloud, replacing heavy upfront capital investments with predictable operating costs.
2. Enhanced Supply Chain Visibility
Cloud-based supply chain solutions unify fragmented data and give decision-makers a real-time, end-to-end view. A supply chain control tower model consolidates orders, inventory, and shipments into a single dashboard, enabling faster, better decisions. The result is enhanced supply chain visibility across every node.
3. AI-Driven Optimization
Native AI services in the cloud improve demand forecasting, inventory allocation, and route planning. Retailers and CPG companies using AI-driven logistics optimization can automate replenishment, reduce manual errors, and ensure products reach the right shelf at the right time.
4. Security, Compliance, and Resilience
Cloud logistics platforms come with built-in encryption, governance, and disaster recovery. That means data is more secure, compliance requirements are met, and operations are more resilient to disruptions, a critical factor in highly regulated CPG supply chains.
5. Innovation and Future Readiness
Cloud unlocks access to emerging technologies like IoT, digital twins, and autonomous logistics. Companies adopting cloud-based logistics solutions now are better positioned to innovate, adapt, and thrive in the digital-first economy. To explore how these technologies are reshaping retail’s future, check out our blog on the Future of Retail.
Why Retail is Moving to Cloud Logistics
For retail, cloud is the foundation for omnichannel success. Cloud-native order management systems (OMS) can orchestrate inventory across physical stores, warehouses, and e-commerce platforms, ensuring customers always receive accurate delivery promises. This ability to connect demand and supply in real time is the cornerstone of an effective retail cloud strategy.
How CPG Companies Are Optimizing Logistics with Cloud
Consumer packaged goods companies are leveraging the cloud to address global supply chain complexity. With CPG cloud migration, leaders can:
Improve demand forecasting with AI and advanced analytics.
Optimize production and distribution planning across multiple regions.
Integrate seamlessly with 3PLs, distributors, and retail partners.
Build sustainable practices through better energy and resource optimization.
These steps reinforce the benefits of cloud for CPG logistics, including cost reduction, resilience, and faster response to market shifts.
Best Practices for Cloud Logistics Migration in Retail and CPG
Define clear outcomes. Link cloud migration to measurable KPIs like forecast accuracy, perfect order rate, and logistics costs.
Start with pilots. Begin with high-impact areas such as inventory visibility or transportation exception management.
Modernize data architecture. Ensure data is clean, governed, and accessible to unlock supply chain digital transformation.
Invest in workforce skills. Equip planners and logistics teams with cloud and AI training.
Leverage trusted partners. Collaborate with technology providers and consulting firms experienced in retail and CPG migrations.
Prioritize governance. Build strong security, compliance, and risk frameworks from the start.
Benefits at a Glance
Scalable, cost-efficient infrastructure
Enhanced supply chain visibility with real-time insights
AI-driven logistics optimization for forecasting and routing
Resilience and compliance built into operations
Faster innovation with IoT, AI, and digital twins
FAQs
1. What is retail digital transformation? It’s the process of using cloud, AI, and automation to modernize retail operations, from order management to customer engagement.
2. How can AI help logistics companies? AI enables predictive demand planning, real-time route optimization, and automated replenishment, reducing costs and improving service.
3. What are best practices for cloud logistics migration in retail? Start small with pilots, modernize your data, invest in skills, and align migration goals with overall business strategy.
Key Takeaways
Retail and CPG leaders can no longer afford to rely on outdated legacy systems for logistics. These older platforms often create bottlenecks, reduce visibility, and limit the ability to respond to sudden market changes. In contrast, cloud-powered logistics solutions provide a modern foundation for agility, resilience, and efficiency, capabilities that are no longer optional but essential to compete in today’s fast-moving markets.
By investing now, businesses can:
Reduce operational costs through automated processes, optimized inventory management, and streamlined supply chains.
Improve end-to-end visibility, giving leaders real-time insights into shipments, demand fluctuations, and customer needs.
Strengthen resilience, ensuring that disruptions, whether from global supply chain shifts, labor shortages, or market volatility, can be managed with confidence.
Scale quickly and efficiently, supporting future growth without the limitations of rigid legacy infrastructure.
The organizations that act decisively today will not only solve current challenges but also future-proof their operations. They’ll gain the ability to innovate faster, adapt to customer expectations, and seize new revenue opportunities in a highly competitive marketplace.
Ready to transform your supply chain? Start your cloud-powered logistics journey today with our experts.
ORLANDO, Florida., September 9, 2025 – In the fast-evolving world of enterprise AI, bridging the gap between proof-of-concept and production remains a critical challenge, one that Salesforce AI Research is now tackling head-on.
Digital Twin Testing with CRMArena-Pro
Salesforce’s new CRMArena‑Pro emerges as a powerful “digital twin” simulation environment, designed to rigorously test AI agents in complex multi-turn, multi-agent scenarios, think sales forecasting, service case triage, and CPQ workflows. By leveraging synthetic yet realistic data, this platform safely replicates enterprise chaos, legacy systems, noisy inputs, and intricate decision points, while securing sensitive data and enabling safe API interactions. This ensures AI agents are tested with the full complexity of real-world operations and not just idealized demos.
Quantifying Readiness with Agentic Benchmarks
To evaluate agent readiness and performance, Salesforce introduces the Agentic Benchmark for CRM, measuring five key enterprise metrics: accuracy, cost, speed, trust & safety, and sustainability. The latter is particularly noteworthy, it prompts organizations to align AI model complexity with task needs, minimizing unnecessary computational impact and supporting greener AI deployments. Complementing this is the dual benchmark system, MCP‑Eval targets synthetic testing across MCP servers, while MCP‑Universe stretches agents through execution-driven real-world scenarios.
Cleaner, Unified Data with Smart Account Matching
Recognizing that high-quality training and decision-making rest on solid data, Salesforce’s enhanced Data Cloud now features Account Matching. This LLM- and SLM-powered capability autonomously consolidates duplicated or inconsistent account data into single, authoritative records. One customer unified over a million accounts with 95% accuracy in just one month, while slashing average handling times by 30 minutes.
Why This Matters for You
Accelerated ROI on AI: CRMArena-Pro dramatically reduces deployment risk by identifying failure points before rollout.
Decision-Ready Analytics: Agentic Benchmarks provide measurable, actionable insights—no guesswork, just clear guidance.
Operational Efficiency at Scale: Account Matching turns fragmented data landscapes into streamlined, actionable intelligence.
Salesforce isn’t just enabling AI deployment, it’s redefining what’s possible at scale. With robust testing, transparent evaluation, and data integrity, businesses can confidently usher in the era of the agentic enterprise, where AI operates alongside humans, reliably and sustainably.
Ready to Build an Agentic Enterprise with Confidence?
At Prolifics, we specialize in guiding organizations like yours through this AI frontier. Whether you’re just beginning to test AI workflows or gearing up to deploy agentic systems at scale, our deep expertise in Salesforce AI solutions, including CRMArena-Pro, Data Cloud, and Agentforce, ensures you move from concept to reality safely and swiftly.
About Prolifics Prolifics is a global technology solutions provider with over 47 years of expertise in empowering businesses through innovation and excellence. Specializing in digital transformation, AI, cloud, data, and automation, Prolifics partners with leading companies like IBM, Microsoft, Red Hat, EDB, AWS, and Google Cloud. From startups to global enterprises, Prolifics delivers tailored strategies that drive growth and measurable results.
Driving reliable HR operations across 32 countries
Client Overview
SSP Group plc is a leading operator of restaurants, bars, cafes, and food and beverage outlets in travel locations across 38 countries. To streamline HR and workforce operations, SSP rolled out a global people and benefits program powered by SAP SuccessFactors.
To support this initiative, SSP needed a trusted technology partner with expertise in managed services for HR operations, capable of handling a complex ecosystem of MuleSoft APIs across programs, including People Program, Mercury, DigiPoS, WFM, EPTS, and WOTC.
The Challenge
Managing global employee data, onboarding/offboarding, and provisioning of email, access, payroll, and benefits.
Maintaining a single, accurate view of employee data across 32 countries.
Ensuring API reliability to avoid disruptions to the workforce and payroll systems.
Providing proactive monitoring, governance, and consistency across Europe and the Americas.
Our Approach
Prolifics implemented a structured managed services framework that combined:
Agile integration into service management with ITIL standards.
Cross-skilled support and development teams for faster troubleshooting.
Enhanced monitoring of 61 production APIs with proactive alerts.
Business Outcomes
100% SLA adherence with no breaches since 2023.
Stabilized systems with reduced incident tickets over time.
Stronger workforce continuity with seamless transition of critical programs.
Positive CSAT feedback, highlighting proactive monitoring, communication, and reliability.
SSP recognized Prolifics as a long-term trusted partner for sustaining and enhancing their global people programs.
Why Prolifics?
With over 45 years of market leadership, Prolifics combines deep domain expertise, execution agility, and strong partner ecosystems with IBM, Microsoft, Salesforce, AWS, MuleSoft, and more. We help enterprises achieve sustainable digital transformation with precision, speed, and scalability.
Ready to Strengthen Your Workforce Operations?
Partner with Prolifics for reliable managed services that safeguard business-critical systems and deliver measurable outcomes.
ORLANDO, Florida., September 2, 2025 – Snowflake has announced the public preview of Snowpark Connect for Apache Spark™, a groundbreaking advancement that allows organizations to execute Spark workloads directly within Snowflake warehouses, without the overhead of maintaining Spark clusters. With the arrival of Snowpark Connect for Apache Spark, enterprises can now modernize how they process data at scale while ensuring performance and governance remain top priorities.
For years, many enterprises relied on the Snowflake Spark Connector to process data, which often introduced challenges like data movement, higher costs, latency, and governance risks. Snowpark Connect for Apache Spark in Public Preview eliminates these hurdles by enabling Spark code execution natively in Snowflake, preserving data integrity, accelerating performance, and simplifying governance.
Why This Matters: A New Era of Simplicity
Traditionally, Spark environments required constant care, managing dependencies, ensuring version compatibility, and juggling costly infrastructure upgrades. With Snowpark Connect Spark integration, all of this complexity disappears.
Built on Spark Connect, a client-server architecture introduced in Apache Spark 3.4, the solution decouples user code from the Spark cluster. Snowflake extends this foundation by allowing Spark SQL, DataFrame operations, and user-defined functions (UDFs) to run directly within its elastic virtual warehouses.
The result? Seamless integration where businesses keep their Spark code, while Snowflake handles scaling, tuning, and runtime management behind the scenes. For a real-world example of Snowflake’s impact, explore Prolifics’ Snowflake success story.
Performance and Cost Benefits
Snowflake reports impressive results from early adopters. Customers using Snowpark Client see:
5.6x faster performance compared to managed Spark solutions
41% cost savings through reduced infrastructure and operational overhead
By cutting out the need for data movement and cluster maintenance, enterprises not only save money but also gain the agility needed to respond in real time to business demands.
To further enhance usability, the Snowpark Connect Public Preview ensures that modern Spark APIs, DataFrames, Spark SQL, and UDFs remain supported, so teams don’t need to rewrite code to benefit from these enhancements.
Governance and Open Data Integration
In today’s compliance-heavy environment, centralized governance is critical. Snowpark Connect for Apache Spark strengthens security by keeping all processing within Snowflake’s unified compliance framework.
The solution also integrates seamlessly with Apache Iceberg, supporting both internally and externally managed tables as well as catalog-linked databases. This further aligns with Snowflake’s strategy of advancing into the open data ecosystem, empowering organizations to leverage data more flexibly and efficiently. With Snowpark Connect Spark integration, companies can maximize both compliance and performance in their open data workflows.
What’s Next: Current Limitations
Snowpark Connect for Apache Spark in public preview currently supports Spark 3.5.x and is limited to Python environments, with Java and Scala support in development. Some Spark capabilities, including RDDs, Spark MLlib, and streaming APIs, are not yet available. However, the roadmap promises rapid evolution as Snowflake continues to expand compatibility and functionality.
Supported clients include Snowflake Notebooks, Jupyter, VSCode, Airflow, Snowflake stored procedures, and Snowpark Submit, giving developers multiple options to integrate with existing workflows.
The Prolifics Advantage: Unlock Real Business Value
While Snowpark Connect Public Preview is a technological leap forward, unlocking its full potential requires the right expertise. That’s where Prolifics comes in.
Optimize data pipelines for performance, cost efficiency, and governance
Leverage open data architectures like Apache Iceberg for future-proof flexibility
Accelerate analytics and AI initiatives with real-time, compliant, cloud-native data solutions
Our experts bridge the gap between technology innovation and business outcomes, ensuring your organization doesn’t just adopt new tools but transforms how data drives growth.
Ready to Reimagine Spark in Snowflake?
Snowpark Connect for Apache Spark is more than an upgrade, it’s a reinvention of how enterprises handle Spark workloads. By eliminating clusters, simplifying governance, and cutting costs, it sets the stage for next-generation analytics and AI innovation.
Talk to Prolifics Experts today to explore how Snowpark Connect for Apache Spark in Public Preview can transform your data strategy and position your business for the future.
