Pacific Data Integrators

The Forrester Wave™ for Customer Service Solutions, Q1 2026, reinforces what we’re seeing across the market: better service outcomes don’t come from AI alone.

They come from connected data, orchestrated workflows, and a strong foundation that makes AI practical, governed, and measurable.

Five takeaways stand out:
1. AI assist is no longer optional.
2. Self-service must resolve, not just deflect.
3. Customer context must carry across channels and teams.
4. Automation without governance will not scale.
5. The strongest platforms connect data, workflow, and intelligence.

🔗 Learn more: https://reprint.forrester.com/reports/the-forrester-wavetm-customer-service-solutions-q1-2026-dcf9b0c8/index.html

At PDI, we help organizations align platform decisions with the data, workflow, and operational foundation needed to scale service transformation.

🤝 Connect with PDI to explore what this means for your organization: https://www.pacificdataintegrators.com/contact-pdi

𝗙𝗿𝗼𝗺 𝗿𝗲𝗮𝗰𝘁𝗶𝘃𝗲 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝘁𝗼 𝗽𝗿𝗼𝗮𝗰𝘁𝗶𝘃𝗲 𝗴𝗿𝗼𝘄𝘁𝗵 — 𝗼𝗻 𝗦𝗮𝗹𝗲𝘀𝗳𝗼𝗿𝗰𝗲

Most customer service teams remain reactive because customer data is fragmented, context is incomplete, and signals arrive too late.

PDI helps organizations unlock more value from Salesforce by building the unified data foundation needed for proactive, insight-driven engagement.

𝗪𝗵𝗮𝘁 𝘁𝗵𝗮𝘁 𝗲𝗻𝗮𝗯𝗹𝗲𝘀:
🧩 Unified customer data across channels
⚡ Real-time signals to anticipate needs sooner
🔗 Connected enterprise systems for better context
🛡️ Trusted, governed data for better decisions
🚀 A shift from reactive support to proactive growth

Learn more on our blog : https://www.pacificdataintegrators.com/blogs/how-it-leaders-can-enable-personalized-cx-on-salesforce-marketing-cloud-with-data-cloud-informatica-and-mulesoft

Connect with PDI: https://www.pacificdataintegrators.com/free-demo

𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗳𝗼𝗿 𝗳𝗮𝘀𝘁𝗲𝗿 𝗹𝗲𝗴𝗮𝗰𝘆 𝗘𝗧𝗟-𝘁𝗼-𝗰𝗹𝗼𝘂𝗱 𝗺𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻—𝗳𝗿𝗼𝗺 𝗱𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆 𝘁𝗼 𝗰𝘂𝘁𝗼𝘃𝗲𝗿

Legacy ETL-to-cloud modernization doesn’t stall because teams can’t build new pipelines—it stalls because they can’t prove dependencies, validate parity, and cut over safely fast enough.

Agentic AI speeds up discovery, conversion, validation, and cutover—with governance and auditability

𝗞𝗲𝘆 𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀

• Discover real dependencies 🔎 to prevent downstream breakage.

• Convert faster ⚙️ — up to 90% quicker delivery with repeatable patterns.

• Validate parity ✅ — up to 99% reconciliation accuracy + audit-ready evidence.

• Cut over safely 🚦 — reduce routine incidents up to 85%.

See how our cloud modernization agents can de-risk your legacy ETL to cloud migration—learn more: https://www.pacificdataintegrators.com/blogs/agentic-ai-accelerates-legacy-etl-modernization

Connect with PDI experts today to get a governed agentic migration assessment + roadmap: https://www.pacificdataintegrators.com/free-demo

𝗗𝗮𝘁𝗮 & 𝗔𝗜 𝗟𝗲𝗮𝗱𝗲𝗿𝘀’ 𝗧𝗼𝗽 𝗣𝗿𝗶𝗼𝗿𝗶𝘁𝗶𝗲𝘀 𝗳𝗼𝗿 𝟮𝟬𝟮𝟲 🚀

In 2026, the biggest blocker to real AI outcomes isn’t the model—it’s the data foundation, governance, and cost discipline needed to run AI in production. 🤖

The 5 moves that matter: 👇
• Focus on 3–5 outcomes (manage AI like a value portfolio)
• Build an AI-ready data foundation (trusted, governed, reliable)
• Automate governance + compliance (enablement, not gatekeeping)
• Operationalize GenAI with LLMOps (evaluation + monitoring)
• Control costs with FinOps (unit economics + guardrails)

Learn more: https://www.pacificdataintegrators.com/blogs/top-strategic-priorities-data-ai-leaders-2026

Connect with PDI experts today to accelerate your 2026 data + AI roadmap with clear sequencing, risk-aware governance, and KPI-backed ex*****on: https://www.pacificdataintegrators.com/contact-pdi

The Top Strategic Priorities Guiding Data and AI Leaders in 2026 2026 is the year AI agents move from pilots to production. Here are the top priorities for IT leaders: enterprise data strategy, AI governance and compliance, AI-ready foundations, LLMOps, and cost discipline—plus a 30–60–90 day runbook.

𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲 𝗬𝗼𝘂𝗿 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀, 𝗕𝗜, 𝗮𝗻𝗱 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗠𝗮𝗸𝗶𝗻𝗴 𝗶𝗻 𝘁𝗵𝗲 𝗔𝗜 𝗘𝗿𝗮 🚀

Traditional analytics and BI fail in the AI era when data is fragmented, trust is low, and governance is reactive—so decisions slow down.

A structured approach helps you assess maturity and move from scattered data to trusted, unified insights 📊—enabling Modern data management for the AI era with Informatica IDMC, with a self-assessment, key requirements, platform evaluation guidance, build/buy/hold options, and a step-by-step adoption blueprint.

Connect with PDI Experts today to assess your analytics maturity, pinpoint the biggest gaps, and build a practical roadmap to accelerate trusted BI outcomes: https://www.pacificdataintegrators.com/contact-pdi

𝗣𝗿𝗼𝘃𝗲 𝗠𝗲𝗮𝘀𝘂𝗿𝗮𝗯𝗹𝗲 𝗥𝗢𝗜 𝘄𝗶𝘁𝗵 𝗦𝗮𝗹𝗲𝘀𝗳𝗼𝗿𝗰𝗲 𝗗𝗮𝘁𝗮 𝟯𝟲𝟬 + 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗰𝗮—𝗕𝗲𝘆𝗼𝗻𝗱 𝗔𝗜 𝗛𝘆𝗽𝗲 🚀

Executive teams want AI-led growth, but ROI only shows up when data is connected, trusted, governed, and ready to activate across the business. In our latest blog, we share a practical framework to quantify value from Salesforce Data 360 + Informatica—using KPIs your finance team will accept. 📈

The ROI levers we break down (with real metrics):

• 𝗖𝗼𝘀𝘁 𝗮𝘃𝗼𝗶𝗱𝗮𝗻𝗰𝗲: reduce duplicated datasets, retire redundant pipelines

• 𝗙𝗮𝘀𝘁𝗲𝗿 𝘁𝗶𝗺𝗲-𝘁𝗼-𝘃𝗮𝗹𝘂𝗲: shorten the cycle from request → segment/workflow live

• 𝗥𝗲𝘃𝗲𝗻𝘂𝗲 𝗹𝗶𝗳𝘁: improve targeting, personalization, and service decisions with unified identities

• 𝗥𝗶𝘀𝗸 𝗿𝗲𝗱𝘂𝗰𝘁𝗶𝗼𝗻: expand policy enforcement, improve audit readiness, prevent violations

🔗 Read the full blog: https://www.pacificdataintegrators.com/blogs/measurable-roi-salesforce-data-360-informatica

Connect with PDI experts today to build a 90-day ROI plan—baseline KPIs, choose the right approach for data access vs ingestion, and design a governance-first activation path that delivers measurable outcomes: https://www.pacificdataintegrators.com/contact-pdi

The Measurable ROI of Salesforce Data 360 (Data Cloud) + Informatica — Beyond AI Buzzwords Stop measuring success by “AI potential.” Learn how IT leaders quantify ROI from Salesforce Data 360 (Data Cloud) with Informatica using Zero Copy integration, unified data, data governance, and activation KPIs.

𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 + 𝗶𝗣𝗮𝗮𝗦: 𝗙𝗿𝗼𝗺 𝗔𝗜 𝗣𝗶𝗹𝗼𝘁𝘀 𝘁𝗼 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗮𝘁 𝗦𝗰𝗮𝗹𝗲

AI pilots often look great in isolation—but production fails when core gaps surface: fragmented APIs, point-to-point integrations, inconsistent master data, limited observability, and missing policy enforcement. That’s where iPaaS becomes the backbone—standardizing connectivity, orchestration, monitoring, and governance so Agentic AI can execute reliably 🤖.

This whitepaper shows how to bridge the pilot-to-production gap by combining Agentic AI + an iPaaS-led integration foundation—enabling connected, governed 🛡️, and scalable 📈 workflows powered by Informatica⚡.

📄 Read the whitepaper: https://hubs.ly/Q03-7PM90

Ready to operationalize agentic workflows safely? Connect with PDI experts to assess your data + iPaaS readiness, prioritize high-value use cases, and build a practical rollout roadmap: https://www.pacificdataintegrators.com/contact-pdi

𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 + 𝗗𝗮𝘁𝗮 𝗤𝘂𝗮𝗹𝗶𝘁𝘆: 𝘄𝗵𝘆 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘀𝘂𝗰𝗰𝗲𝘀𝘀 𝗱𝗲𝗽𝗲𝗻𝗱𝘀 𝗼𝗻 “𝘀𝗮𝗳𝗲-𝘁𝗼-𝗮𝗰𝘁” 𝗱𝗮𝘁𝗮 🚀

Agentic AI doesn’t fail only because of model behavior—it fails when the data it acts on is stale, duplicated, incomplete, or quietly drifting ⚠️. In production, that turns into wrong case updates, incorrect routing, and downstream workflow chaos. The path forward is making Tier-0 data safe to act on ✅

What “safe-to-act” looks like in practice:

• Start with the blast radius: what the agent reads/writes + worst-case outcomes

• Identify Tier-0 datasets/objects and set action-grade SLOs (especially freshness)

• Enforce quality in layers: gates → monitoring → governed remediation

• Build runtime controls: auto-switch to suggest, require approval, or go read-only when health drops

• Track a few KPIs: SLO compliance, rule coverage, defect escape rate, MTTD/MTTR

🔗 Explore the full article: https://www.pacificdataintegrators.com/blogs/data-quality-for-agentic-ai

Connect with Pacific Data Integrators’ data experts today to make your Agentic AI workflows safe-to-act and production-ready: https://www.pacificdataintegrators.com/contact-pdi

Data quality for Agentic AI (the “why projects fail” traffic magnet) Agentic AI fails when data quality management is treated like a reporting task. Use this runbook to implement data quality control, assurance, and data control across Snowflake, Databricks, BigQuery, AWS, Azure, Salesforce, and Informatica.

𝗗𝗲-𝗿𝗶𝘀𝗸 𝗔𝗜 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀 𝘄𝗶𝘁𝗵 𝘂𝗻𝗶𝗳𝗶𝗲𝗱 𝗱𝗮𝘁𝗮 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁. 🚀

Organizations are investing heavily in GenAI and agentic AI—but many initiatives stall when data is fragmented across tools, hard to trust, and difficult to govern. This whitepaper explains why 𝘂𝗻𝗶𝗳𝗶𝗲𝗱 𝗱𝗮𝘁𝗮 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 is the foundation for moving from AI pilots to production—powered by Informatica CLAIRE. 🧩

AI is now a board-level priority, yet 92% of data leaders fear repeating costly mistakes. In most cases, the root cause is the same: a fragmented data foundation that slows delivery, weakens trust, and complicates governance. This report lays out a practical blueprint to reduce risk and drive measurable ROI. 📈

📄 Get the whitepaper: https://hubs.ly/Q03ZNSHX0

🤝 Connect with PDI experts to identify data roadblocks, streamline your architecture, and build an AI-ready foundation that turns AI investments into real business outcomes: https://www.pacificdataintegrators.com/contact-pdi

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