Data Management: Customer data infrastructure

Empowering Lytics customers with real-time insights through BigQuery continuous queries

How (and why) to swap data silos for real-time data pipelines

How to ensure data integrity: Best practices for organizations

Data cleaning: Steps and techniques for better analysis

Load your BigQuery Warehouse for custom analytics & modeling [Playbook]

How to measure data quality: A comprehensive guide

Streamlining data collection with a Customer Data Infrastructure solution

How Lytics CDP solves for the most common identity management challenges

Lytics + Built with BigQuery: Unlocking the data sharing and enrichment potential of your cloud data warehouse

What is data cleaning and why is it important?

Data deduplication vs. data compression

Retail data collection: How to collect and use customer data

Abandoned your Customer 360 strategy? Here’s what you may have gotten wrong.

The modern data stack — everything you need to know

3 ways to use demographic data (and how to move beyond it)

What are first-party cookies and how can you use them effectively?

The customer 360 data program and cloud connectors: Guiding principles for success

Data advocacy panel: I’ve assembled my team, now what?

9 tips for being a transparent and privacy-centric brand

How to use propensity modeling for web personalization

Event tracking: A mini guide for developers

SQL: How-tos, tips, and tricks for the non-technical professional

Data pipeline vs. ETL pipeline: What’s the difference?

Matching customer data across a disjointed tech stack

What is Customer 360? (And how can you make sure you get it right?)

If you want to offer better security for customer data, build CDP into your data warehouse

What is a graph database? The role of graphs in data analysis

Why customer data unification matters for your business

The massive personalization opportunity in direct-to-consumer sales — thanks to first-party data

The ultimate beginner’s guide to big data marketing

Why post-cookie marketing will lean on deterministic customer identity resolution

Customer data infrastructure: Why is it important?

How data layers work and what you should know

Relational vs. non-relational databases: Understanding the difference

3 Little-known advantages of real-time data streams

Customer identity resolution in a post-cookie world

Why your cloud data warehouse is the key to unified customer identities

What is reverse ETL and how does it activate your data warehouse?

How to improve your CDP RFP process (+ 2 Mistakes to avoid)

What is customer data management?

Customer data and machine learning: What you should know

Using customer data to optimize marketing spend

How to increase conversion rates with predictive marketing

5 strategies for increasing customer engagement

Customer acquisition: A complete guide for 2022

Data lake vs. data warehouse: Understanding the difference

What is a cloud data warehouse and how does it work?

Getting more value from your cloud data warehouse: 3 main use cases

Introducing Lytics Cloud Connect

Building a decision engine for marketers

Reduce your reliance on building one-off integrations

What is data hygiene and why is it important?

What is data streaming?

What is data lineage?

What is a data layer and what can it do for you?

What is data management and why do you need it?

A fresh take on the customer 360

CDP vs. CDI vs. DMP: A Guide

Customer lifecycle management: Unraveling the many lives of Customer X

Turn casual (customer) relationships to long-term commitments

Lytics View in action: How it works

What is data-driven marketing (and why should we care)?

Looking to strengthen and build customer loyalty? Use email

How marketing teams use big data: 5 use cases for better ROI

A cautionary tale of disconnected customer data