You're at Level 4:
Complete Customer View

You have a data warehouse, a centralized data team, and maybe even a data lake. You’re breaking down silos and integrating your data to form a complete picture across all your data sources. You’re no stranger to advanced analysis, predicting LTV, or developing models for risk, fraud, or anomaly detection.

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Performance levels
Access to insights
Depth of insights
Completeness of insights
Coffee Consumed
avatar
Access to insights
Depth of insights
Completeness of insights
Coffee Consumed

Your Mission at Level 4:

Objective 1

Integrating data is hard work. Build out your data roadmap to include time for both reactive work and strategic data projects so that you can accomplish your long term goals. Check out resources like https://www.datacouncil.ai to ensure you’re using scalable technologies.

Objective 2

Partner with teams to tie data initiatives to business metrics to keep people invested. Standardize data so people understand the data they’re using. Provide best practices that enable business users to answer their own questions with data. A lunch ‘n’ learn works well for this (there’s nothing like free pizza and beer to get people to a meeting).

Objective 3

Stop living in the wild west of data. Instead, build out a thoughtful data governance strategy with a clear understanding of permissions, roles, and data access, not to mention those definitions.

How to Power Up to Level 5:

Hack 1: It’s time to productize your data. In other words, empower your data science team to integrate their efforts in your business strategy, not just perform separate analysis. This includes incorporating data-fueled initiatives into your product, marketing, and customer-facing platforms, so you can automate a more personalized experience for your customers and prospects.

Hack 2: More data means more insights. Integrate your analyses and models into a personalization tool like Optimizely or Clearbrain and your email marketing tool. This helps more you create more targeted emails that result in an increase in open rates, conversion rates, clickthrough rates, and more.

Hack 3: If you haven’t already, think about expanding your data function. This includes hiring data scientists to help you build predictive models and incorporating real-time technologies into your product.

Heap Customer Data Maturity Curve Video Level 4

Watch the video on the fourth level of the Customer Data Maturity Curve

Challenge your Friends

Share the customer data maturity curve with your team.