Chief Automation Officer at a tech services company with 51-200 employees
Reseller
2020-12-08T05:37:34Z
Dec 8, 2020
I was never part of the decision-making process when it came to pricing. I'm not sure of what the exact costs were. As a partner, as a reseller, I don't know much about the Trifacta side as they were partners with them before I came on. Alteryx, for example, seems expensive to me, however, I came from RPA, which was not that expensive to implement. Once I got used to something like data wrangling it didn't seem too much for us. The number one concern for us was to become a partner. The resell seemed like the ROI was going to benefit the customer. I felt, just like with RPA, once you can show the value, (and you can show the value almost immediately because this stuff can be run overnight), the cost isn't too big.
Data Preparation Tools streamline the process of collecting, cleaning, and transforming raw data into usable formats. These tools are essential for data-driven decision-making in various industries, enhancing the efficiency and accuracy of data analytics workflows.
Comprehensive Data Preparation Tools offer a range of functionalities designed to automate and simplify tasks such as data cleaning, normalization, aggregation, and transformation. By providing an easy-to-use interface, these...
I was never part of the decision-making process when it came to pricing. I'm not sure of what the exact costs were. As a partner, as a reseller, I don't know much about the Trifacta side as they were partners with them before I came on. Alteryx, for example, seems expensive to me, however, I came from RPA, which was not that expensive to implement. Once I got used to something like data wrangling it didn't seem too much for us. The number one concern for us was to become a partner. The resell seemed like the ROI was going to benefit the customer. I felt, just like with RPA, once you can show the value, (and you can show the value almost immediately because this stuff can be run overnight), the cost isn't too big.