Instead of initiating daunting, multi-year data projects, the most practical first step to unifying customer profiles is to focus on fundamentals. Prioritize automated data integrations for list building and implement rigorous list cleaning and tracking from day one to avoid manual errors.

Companies struggle with AI not because of the models, but because their data is siloed. Adopting an 'integration-first' mindset is crucial for creating the unified data foundation AI requires.

The core problem for many small and mid-market businesses isn't a lack of software, but an excess of it, using 7 to 25 different apps. This creates massive data fragmentation. The crucial first step isn't buying more tools, but unifying existing data into a single customer profile to enable smarter, automated marketing.

Companies struggle to get value from AI because their data is fragmented across different systems (ERP, CRM, finance) with poor integrity. The primary challenge isn't the AI models themselves, but integrating these disparate data sets into a unified platform that agents can act upon.

Sales and marketing teams historically waste time debating whose data is correct. A centralized, trusted data platform that both teams can query with natural language eliminates these arguments, creating a single source of truth and freeing up time for strategic work.

Media companies solved content management with unified CMS platforms but leave audience data scattered across disparate systems. The core assets, content and audience, should be treated with the same integrated, single-source-of-truth approach.

Large enterprises inevitably suffer from "data sprawl," where data is scattered across on-prem clusters, multiple cloud providers, and legacy systems. This is not a temporary problem but an eventual state, necessitating tools that provide a unified view rather than forcing painful consolidation.

According to Salesforce's AI chief, the primary challenge for large companies deploying AI is harmonizing data across siloed departments, like sales and marketing. AI cannot operate effectively without connected, unified data, making data integration the crucial first step before any advanced AI implementation.

Brands often have enough data, but it's disconnected across teams like marketing, sales, and product. The critical first step toward a unified experience is creating a single customer profile that can resolve identity in near real-time across all touchpoints.