DATA ENGINEERING:
Customer Data Platforms
WE DELIVER:
- A central customer data store with cleansed and unified, structured data that drive cross-channel insights
- 1:1 addressability across segments or individuals in order to scale personalized experiences
- We automate cross-channel activations and behavior-based learnings, leveraging data science
SUCCESS STORIES
OUR APPROACH
If you find yourself still not truly knowing who your customers are or what they want, sifting through data in siloed systems from siloed channels, making marketing decisions based on a single channel vs. your customer’s cross-channel behavior, and not taking advantage of ML/AI to create experiences that progress your customer along the customer journey, then you most likely could benefit from implementing a CDP. Here’s the process we follow to help our clients evaluate and select a CDP:
ASSESS
- Data Strategy – We determine the business objectives and strategic goals for using data.
- Technology Assessment – Assess the current state of technology platforms that are in use (e.g. MarTech, AdTech, Data Technologies).
- Activation & Optimization Strategy – We determine the activation use cases, how will we measure impact, and how will we optimize activation scenarios.
ARCHITECT
- Integration Strategy – We evaluate the most performant architecture for the data sources and determine how we’ll connect to inbound data sources and export to activation layers.
- Data Preparation & Schema – We design how to harmonize all the data sources into a common model.
- Segmentation and Profile Build – We construct the segmentation rules and attributes needed in a customer profile.
ACTIVATE
- MarTech & AdTech Activation – We identify platforms that we need to activate and what data needs to be sent to power that activation.
- Analytics and Data Science – We activate advanced analytics and data science capabilities in the most effective environments.
- Governance – We determine the data validation process and how users will access the data.
LATEST INSIGHTS:
Four Data Management Best Practices
We review four data management best practices to help you make better data-driven decisions. See how our team of experts can help your business.
What Is Identity Resolution? How It Works and Why You Need It
We explain what identity resolution is, how it works, who needs it, and what its benefits are. See how we can build the right solution for your business!
Data Integration: What It Is & How It Works
We explain what data integration is, how it works, why it’s incredibly important, common approaches, and how integration can help modern businesses succeed.
