data strategy

BODi modernizes infrastructure to build customer 360

Wellness and fitness giant overhauls its data operations to support hybrid fitness and adapt to a rapidly changing market.

How Fan 360 redefines the sports landscape

Your opportunity to create a loyal fanbase is locked behind disparate data silos. It’s time to call an audible.

How Customer 360 drives retail revenue

How Fivetran and Redkite combine to help retail enterprises understand, track and meet the needs of their customers.

The AI data quality conundrum

Visionaries from Capgemini, Databricks and Fivetran lay out the data quality imperative for implementing enterprise AI applications.

Launching DecisionsCX: Customer engagement with data and AI

Fivetran, LTIMindtree and Snowflake unveil DecisionsCX, empowering enterprises with customer 360 for hyper-personalization.

Get immediate customer insights with our new data models

Recent Fivetran data model releases help companies get insights out-of-the-box and seamlessly build a Customer 360.

Data cannot be missing from talent attraction and retention plans

Be transparent with employees about the benefits of data in talent processes.

When are you ready for artificial intelligence and machine learning?

How to chart a roadmap to the pinnacle of data science

How to go from spreadsheets to a modern data stack with limited resources

Learn how growth consultant Kat Gardiner guides early-stage organizations in developing a scalable data strategy, without breaking the bank.

The small data team’s guide to conquering data

All of the tools a small data team needs to turn their disparate data into a centralized data strategy, powered by Fivetran

Data strategy takeaways from Big Data and AI World 2023

Sara Seylani, Solution Architect at Fivetran, reflects on the data, technology and espionage expert insights from Big Data and AI World 2023

What is data integration architecture? A complete guide

Learn why businesses need data integration architecture, how it's structured and five best practices for implementing it.

New levels of automation for your data transformation

New Fivetran features help data teams jointly orchestrate Fivetran connectors and transformations using dbt Labs’ open-sourced dbt Core*.

How to gain faster insights from your Shopify and Klaviyo data

Use our data models to easily combine Shopify and Klaviyo data into analytics-ready models and create rich, granular customer personas.

The modern data science stack

Automated data integration can help you jump-start your machine learning efforts.

What is the architecture of automated data integration?

Automated data integration depends on several key concepts.

Why you should be analyzing your marketing stack

Enterprises are making strides in marketing, but are they reaping the rewards of unified data analysis?

How Fivetran solved database replication

As one of our senior engineers explains, it took years of hard work and incremental progress.

How to assess build vs. buy as a product manager

How can you avoid wasting engineering cycles on data pipeline creation and maintenance? Powered by Fivetran.

Why should your business move to the cloud?

Learn how data integration in the cloud offers savings, interoperability, flexibility, resilience and security.

Powered by Fivetran fuels savvy data insights platforms and agencies

Offer clients comprehensive insights by building Fivetran connectors into your data products.

How to organize your analytics team

People and processes matter as much as your technology stack.

How to migrate your enterprise data warehouse to a cloud data warehouse

The modern data stack lives in the cloud. Here are the steps you'll need to take to migrate your on-prem system.

How Fivetran built its Klaviyo connector

The process of building a connector is inextricably linked with schema design.

Let data show the way through uncertainty

How we uncovered an unexpected sales opportunity through data sleuthing.

Powered by Fivetran fuels savvy data insights platforms and agencies

Provide real insights and not just a report card - with Fivetran’s list of connectors

When to Adopt a Data Lake – and When Not to

Are data lakes the right approach for your organization?

Fivetran Updates Warehoused Databases via Log-Based Replication

There’s no magical way to keep databases in sync with your data warehouse, but Fivetran does it the most favorable way — with heavy yet easy-to-use and easy-to-implement engineering.

For Advanced Analytics, Choose a Column-Oriented Data Warehouse

When it comes to performing advanced analytics, a column-oriented warehouse might better serve those BI tools, SQL and other types of queries—that is, if cost-efficient and speedy results are among the endgames of your Database Management System (DBMS).

Database Replication Methods

Data Pipeline Checklist

Seven things to look for when choosing a data integration provider.

Inflection Points

How data is changing the face of business.

The Modern Data Pipeline

How workflow systems are shifting to keep up with the speed of business.