“Our users can intuitively and collaboratively prepare the growing variety of data that makes up PepsiCo’s analytic initiatives.”
VP of Marketing, Company
“Trifacta has empowered our business users to accelerate data preparation and provide a 3x improvement in turnaround-time. With the integration of Trifacta and Snowflake, we can accelerate the process of preparing data in Snowflake and empower our business to do more with self-service analytics.”
Manjunath Vasishta, Director of Data Science and Engineering at Malwarebytes
“Trifacta provides a savings of $124,800 and 3x the productivity to start. Marketing analysts and users can more easily munge data as needed and automate the productionalized transformations.”
John Gardner, Sr Business Intelligence Analyst
Data School Episode 3
Hey Siri, Can you Clean My Data?
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 preparation needs. In session 3 of the Data School with Professor Joe Hellerstein, Joe takes a look at how human intelligence, and artificial intelligence, can work together to make data cleaning easy and intuitive.
In the modern era of IoT, AI and cloud computing, architectures for data management have changed dramatically. Instead of recording millions of transactions, organizations are recording billions of interactions. Rather than solely inputting data to support formal business processes, companies are capturing signals that can inform business opportunities and unlock new sources of value for organizations
Excel is too manual. Coding is too technical. There’s a “just right” way to connect to, understand, clean, blend, and output new or messy files into a workflow that feeds analytics products or platforms, and it’s no fairy tale. It’s self-service data preparation.