New mobile apps to keep an eye on
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What new social media mobile apps are available in 2023?
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Use new social media apps as marketing funnels
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Try out Twitter Spaces or Clubhouse on iPhone
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What app are you currently experimenting on?
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If you work in GTM, RevOps, or data leadership, you’ve probably heard the phrase “productize your data.” But what does that actually mean — and why are more CIOs making it a strategic priority in 2025?
Let’s break it down.
From Asset to Action
Most companies treat data as a resource — something to collect, clean, and analyze. But raw data, even well-organized, doesn’t generate value on its own. It sits in dashboards, buried in reports, waiting for someone to act on it.
Productizing your data means transforming it into something operational, repeatable, and value-generating — like a product.
That means:
- It’s accessible by design
- It solves a specific business problem (e.g. churn, forecasting, prioritization)
- It’s consumable across teams
- It gets better over time
What Does a Productized Data Layer Look Like?
A productized data layer doesn’t live in a dashboard.
It lives inside your CRM.
It scores your accounts.
It flags churn risk in Slack.
It routes leads automatically.
It triggers actions, not just charts.
It combines:
- Live access to data across your systems (via virtualization or integration)‍
- Models and logic to analyze and predict outcomes‍
- Delivery mechanisms to push those signals into workflows
In short: it turns data from something you analyze into something your team can act on — every day.
Why This Matters Now
In today’s enterprise, teams don’t lack data.Â
They lack the ability to use it — consistently and in real time.
RevOps might be trying to build churn models in Snowflake.
Marketing might be optimizing based on campaign engagement.
Sales might still be chasing the biggest logo.
All with different definitions of value.
All looking at different signals.
Productizing your data creates a shared layer of intelligence — a system of truth that serves the business like a product serves the customer.
From Gut Feel to Predictive Execution
When you productize your data, you stop relying on dashboards, spreadsheets, or Slack threads to align teams. You build a layer that delivers intelligence, continuously and contextually.
Whether that’s:
- Scoring pipeline in Salesforce
- Surfacing expansion signals from product usage
- Predicting churn in Gainsight
You’re no longer interpreting data.
You’re executing on it.
Want to See What That Looks Like in Practice?
Check out these articles from the Predictive Intelligence Blueprint Series:
- Why a Single Source of Truth Is Your Fastest Path to Predictive GTM Wins
- Integration, Federation, Virtualization: Picking the Right Strategy
- From Predictive Analytics to Decision Intelligence
