Users Rank Trifacta the Best at Data Prep in G2’s Fall Reports

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At Trifacta, one of our key pillars is to start with the user. Everything we do is to empower the people who use Trifacta to do more with their data, do it faster and do it better. Trifacta was named as a leader in G2’s Fall Grid Report for Data Preparation as well as the top scorer within the Relationship Index, a category that blends metrics which include ease of doing business with, quality of support, and likelihood to recommend. Read more…

Why Analytics Leaders Need to Read Data Preparation for Dummies

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There’s a common misperception about data management, and it goes something like this: Consolidating your organization’s data into a centralized analytics environment solves everyone’s problems in finding, acc Read more…

Accelerating Marketing Analytics Time to Value by 99.5%

Sponsored Content by Trifacta

How PlusUp Automated the End to End Data Pipeline with Trifacta and Fivetran on Google Cloud The main benefit of a cloud-based modern data stack such as Google Cloud, is the ability to have an analytics framework read Read more…

Mastering Pricing Optimization with Modern Data Preparation

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Rarely does a company correctly price their product on the first try—nor the second, third or fourth try, either. According to a Bain & Company study, a whooping 85% of B2B companies “have significant room for im Read more…

How Autodesk Used Data Wrangling to Accelerate Analytics by 66%

Sponsored Content by Trifacta

Due to the economic fallout from the COVID-19 pandemic, every company needs to do more with less. This has sparked a massive effort within organizations large and small to modernize processes, incorporate automation wherever they can and utilize data to increase the efficiency of their operations. However, not all operations are intuitive to automate and when it comes to cleaning, blending and structuring diverse customer data, many data teams get stuck. Read more…

Solving the Challenge of Integrating Messy Data

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Your team manages several analytics projects each with different requirements, data sources, data structures, and other peculiarities. For each new project, you kick off the process of gathering the data, getting to know the formats and accessing the contents of the data, preparing that data for analysis by cleaning and standardizing problem areas, validating the output, and then uploading that data to your analytics platform to provide valuable insights back to the stakeholder. Read more…

The Data School with Professor Joe Hellerstein: The Role of AI in Data Prep

Sponsored Content by Trifacta

What is AI’s role in the data preparation process? It doesn’t take much more than asking Siri to clean your data to realize that we can’t sit back and let AI take care of all of our data prepara Read more…

How ABN Amro Improves Analytics Productivity

Sponsored Content by Trifacta

ABN AMRO has a clear and bold purpose: banking for better, for generations to come. By leveraging modern data management technology such as Trifacta, ABN Amro is empowering their employees to improve their productivity w Read more…

Evolution of Data Wrangling User Interfaces

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We’re back for session two of the data school! In this video, we travel back in time to the early days of data transformation and take a closer look at how user interfaces have evolved over the years. Even th Read more…

Why are we seeing a big shift in data management and data technologies?

Sponsored Content by Trifacta

We’ve seen a monumental shift in the way we collect, store, process and analyze data. The first video in Trifacta’s new series The Data School with Professor Joe Hellerstein, looks at the why, how, and what of Read more…

Data Wrangling – Balancing Self-Service with Governance

Sponsored Content by Trifacta

Most organizations understand the importance of fully leveraging the large quantities of data available to them. Yet, most of these organizations are running into a bottleneck that is a relic of old, IT-driven data trans Read more…

Biggest Bottleneck in Machine Learning and AI

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Machine Learning and AI are all the buzz. In the last year, IDC reports that 37.5 billion dollars will be spent on machine learning and AI investments, increasing to close to $100 billion by 2023. Yet organizations still Read more…

What is Data Wrangling?

Sponsored Content by Trifacta

To start to answer this question, let’s consider the high level objective of most data professionals: take data close to the source, and turn that data into value. This value can be utilized in a few ways. Data can dri Read more…

Empowering Citizen Data Science

Companies of all stripes are turning to data science to unlock the value in their data. However, finding highly trained data scientists to build the systems has proven to be a very difficult task. Now many organizations Read more…

Designing with the User In Mind: The v4 Wrangling Experience

Sponsored Content by Trifacta

At Trifacta, we’re committed to making deep investments in the user experience, empowering those who know the data best to wrangle it themselves. It’s been our mission since day one when co-founder Jeffrey Heer, who Read more…

Chorus Upgrade Shifts Machine Learning Emphasis

The latest version of Alpine Data's analytics platform seeks to combine data with machine learning for business users by shifting the focus from algorithms while adding human collaboration and governance capabilities to Read more…

Architecting Immediacy-The Design of a High-Performance Portable Wrangling Engine

At Strata + Hadoop World San Jose this week, I will present with my fellow Trifacta colleague, co-founder Joe Hellerstein, a session entitled “Architecting immediacy: The design of a high-performance, portable wranglin Read more…

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