Data, AI, And Analytics Leaders

Drive Growth Through Trusted AI Insights

Delivering AI-powered insights that drive business growth requires a comprehensive strategy that aligns data, technology, and business leaders. To be successful, these leaders must find ways to expand their organizational influence, build trust in their work, and enable the business to make better decisions.

Challenges You Face

Today’s data, AI, and analytics leaders often struggle to drive significant business impact because their role and function may not be clearly defined, limiting their influence across their organization. Forrester can help address these and other significant challenges, including:

  • Overcoming organizational silos to align business units and functions around data and AI.
  • Implementing data governance effectively.
  • Defining career development tracks to retain skilled data, AI, and analytics professionals.
  • Balancing emerging technology and innovation with practical goals and implementation.
  • Clearly defining your role and responsibilities to avoid overlap with other positions.

How Forrester Helps You Drive Business Results

Forrester empowers data, AI, and analytics leaders to build and implement strategies that will scale data and AI efforts and align your organization around a data-driven culture.

Bold Solutions Fit For You

Forrester helps data, AI, and analytics leaders and their teams deliver consistent data strategies that align to business goals while embracing the future of data and AI with clarity and confidence.

Create Business Value From Trusted Data And AI

Forrester Decisions for Data, AI & Analytics helps enterprise data and technology leaders create business value from trusted data, build the foundation to scale AI, and cultivate a data-driven culture with urgency.

Blog

Redesign B2B2C Digital Strategy For The AI Era

Arielle Trzcinski 3 hours ago
AI is compressing consumer discovery, decision-making, and service into fewer, faster, and increasingly invisible moments. Answer engines and AI agents now decide what customers see — or don’t. Long-standing assumptions about how brands (the first “B”), intermediaries (the middle “B”), and customers (the “C”) create value no longer apply. Rather than layer AI onto existing […]
Blog

If Your Employees Aren’t Ready For AI, Neither Is Your Business

Jobina Gonsalves 1 day ago
Success with AI rests on having a workforce that’s equipped and excited to use it. Forrester’s recent experience launching an AI learning program offers some valuable lessons.
Blog

Freshworks Signals A More Practical Future For AI Service Management

Julie Mohr 3 days ago
Freshworks’ latest announcements reflect a broader shift in service management AI from feature expansion to operational practicality. The real differentiator is no longer whether a vendor offers generative or agentic capabilities but whether those capabilities can be adopted quickly, grounded in strong context, and sustained within day-to-day service environments.
Blog

Zendesk Relate 2026 Showed Why Agentic Customer Service Starts With Knowledge

Julie Mohr 3 days ago
Zendesk Relate 2026 showed that agentic customer service depends on structured knowledge, new service engineering roles, and operational readiness for AI execution.
Blog

Findings From The Forrester Wave™: Document Mining And Analytics Platforms, Q2 2026

Boris Evelson May 21, 2026
The Forrester Wave™: Document Mining And Analytics Platforms, Q2 2026 highlights a market that is broad, fragmented, and rapidly evolving — where success depends less on vendor selection alone and more on precise alignment to use cases, document types, and architectural choices. While innovation around agentic AI and LLMs is accelerating, most organizations are still […]
Blog

AI Will Reshape Customer Service Jobs In Dramatic Ways

Kate Leggett May 20, 2026
As automation takes on more interactions and even replaces certain supervisory functions, human work is shifting from handling requests to managing, training, and optimizing AI. The result: fewer traditional roles, but a greater need for higher-value skills.

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