Marketing Analysts Evolve Into Strategic Advisors

Per CMSWire, sessions at the Marketing Analytics Summit, in its 25th year and held April 28-29, 2026 in Santa Barbara, argued that AI has reinvigorated analytics work but that poor data quality is the primary barrier to turning insights into action. CMSWire reports attendees said analysts face increasing pressure to move beyond dashboard delivery and act as advisors as AI takes over routine reporting tasks; the outlet notes speakers framed data quality, not tool selection, as the deciding factor in whether AI output is a useful signal or confident-sounding noise.

CMSWire reports that Improvado, an analytics vendor, found 78% of companies now use AI to augment analytics teams rather than replace them - a pattern consistent with the summit's framing that entry-level reporting work is increasingly automated while advisory and communication work is becoming more valuable. The official summit program lists sessions on working with imperfect data (optimizing consent rates, bot-mitigation, first-party-data gap-filling) as part of the same 25th-anniversary agenda.

For marketing-analytics and data teams, the summit's framing suggests two concrete priorities: investing in data-quality tooling and governance so AI outputs are trustworthy, and building the communication skills to translate analysis into decisions management will actually act on. Teams that treat AI purely as a reporting accelerator without addressing either of these risk producing outputs that look polished but do not hold up to scrutiny.

Whether analytics teams formalize new KPIs or role definitions around advisory work, adoption of data-quality and MLOps-style tooling in marketing analytics specifically, and any published case studies quantifying the shift CMSWire describes from report generation to stakeholder advising.