“We see Trifacta as a key driver enabling multiple lines of business to significantly reduce the time and cost to refine raw data. This will also help us foster a collaborative, business-led data culture that accelerates the creation of new data products.”
Dr. Max Siebert, Head of Data-To-Value, BASF
“For us it’s important that it’s intuitive, so that we really have software that is easy to understand by business users, it’s improving the productivity of people within the bank, and we feel that with Trifacta they cover these areas very strongly.”
Marcel Kramer, Head of Data Engineering, ABN Amro
“Trifacta is an exciting addition to GSK’s R&D Data Centre of Excellence as a foundational piece of our data platform. With Trifacta, we’re granting broader data access to our team of clinical researchers and analysts for increased innovation in drug development, which is at the very core of GSK’s mission.”
Chuck Smith, VP of Data Strategy, GSK
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.