Data Standardization: Key to Scaling Analytics in a Digital, Social World
To make data useful for collaborative study, modeling, and large-scale analytics, data standardization is a... more
What’s the Difference Between Structured and Unstructured Data?
Structured and unstructured data are both used extensively in data analysis but operate quite differently.... more
Unpivot Excel Command: Fading Function in Financial Services & Beyond
Most Excel users know their way around a pivot table. A pivot table can quickly summarize basic statistical... more
Mastering Pricing Optimization with Modern Data Preparation
Rarely does a company correctly price their product on the first try—nor the second, third or fourth try,... more
The “Goldilocks” Solution to Integrating Unfamiliar Client Data
Let’s say you work for an analytics provider. It could be a marketing analytics provider, healthcare,... more
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Integrating Unfamiliar Data: Trifacta vs. Excel for Analytics Providers
The Challenge Your company provides analytics as a service to your customers. Each time you bring on a new... more
Democratization for Speed
Data Prep Democratization = SPEED The reality for most professionals working on advanced analytics or data... more
The Opportunity to Drive AI Initiatives with the U.S. Department of Health and Human Services and Beyond
This past month, the U.S. Department of Health and Human Services (HHS) announced the awardees selected to... more
How IN-RGY Implemented Trifacta on AWS to Help Payment Processing Provider Wrangle Data 70% Faster
Automation is the growing focus of many organizations. Taking processes that have been traditionally done... more
How Malwarebytes Uses Trifacta on an AWS Data Lake to Scale Marketing Intelligence
Marketing and lead generation is a critical aspect for every company. But collecting, enriching, and... more
7 Ways Data Enrichment Boosts Your Business
Data is the lifeblood of contemporary businesses and is used to formulate marketing, sales and customer... more
Rethinking Your Team’s Roles & Responsibilities to Drive Data Prep Success
All data initiatives, whether machine learning, visualization or reporting, rely on clean data. Which means... more
Commit to Clean Data: Ensure Transparency
We’ve covered a lot of ground in our Clean Data Manifesto series, outlining the 5 tenets of clean data.... more
Commit to Clean Data: Constantly Monitor
If you follow our blog, then by now you’re probably well aware of our Clean Data Manifesto, the tenets of... more
Commit to Clean Data: Collaborative Curation
At Trifacta, we’re committed to clean data. That’s why we created the Clean Data Manifesto, which is... more
Commit to Clean Data: Identify Issues Early and Often
Last week on our blog, I introduced the Clean Data Manifesto, the call to action we have developed for anyone... more
Commit to Clean Data: Prioritizing & Setting Targets
Of all the ways you can spend your time as an analyst—especially up to 80 percent of your time—the... more
Wrangling Census Data to Predict the Location of Amazon HQ2
Last fall Amazon announced its search for a second headquarters, considering applications from a whopping 200... more