Less than a month after the closing of the acquisition of Trifacta Inc., Alteryx Inc., provider of data mining and self-service preparation software, has reached a new milestone. It has combined its low-code/no-code analytics portfolio with Trifacta’s cloud-native offerings into a single solution: Alteryx Analytics Cloud.
The latest announcement caps a two-year transformation by the Silicon Valley company in its quest to provide customers with flexibility in deploying analytics workloads. The arrival of new management, adoption of a subscription model, and completion of the acquisition of Trifacta and AI-powered insights provider Hyper Anna led Alteryx to redefine its role as as a data-driven analytics company for business needs.
“When you think about democratizing access and providing analytics to all these different groups of people, you haven’t been able to do it through one platform before,” said Jay Henderson, vice president of management. products at Alteryx. “With the announcement of Alteryx Analytics Cloud, we’ve brought together all of these different capabilities, all of these different interfaces into one end-to-end application. It is finally delivering on its promise to provide analytics for everyone. »
Henderson spoke with Dave Vellante, host of theCUBE, SiliconANGLE’s live streaming studio, at the “Accelerating Automated Analytics in the Cloud with Alteryx” event. Suresh Vittal, Product Manager at Alteryx; Adam Wilson, General Manager and Senior Vice President of Products and Engineering at Trifacta; Barb Huelskamp (pictured, left), senior vice president of global partners and alliances at Alteryx; and Tarik Dwiek (pictured, right), head of technology alliances at Snowflake Inc., also took part in separate interviews with Vellante. They discussed the latest Alteryx announcements, how key acquisitions paved the way for the company’s success, and an evolving partnership with data cloud giant Snowflake Inc. (*Disclosure below.)
Solve the most complex problems
Alteryx’s goal is to empower every person to turn data into a breakthrough. The latest cloud-native enhancements are designed to expand access to analytics and put them in the hands of anyone in the organization, not just highly skilled power users, according to Henderson.
“It’s a portfolio of cloud-based solutions that were all built from the ground up to be cloud-native and take advantage of things like browser-based access,” he explained. . “It lets you take advantage of elastic computing so you can perform in-database processing and cloud-native solutions that will scale to solve the most complex problems.”
The recent addition of Trifacta for $400 million paved the way for Alteryx’s native cloud offering. Trifacta’s specialty is “data wrangling”, the process of cleaning, structuring and enriching raw data in a form that allows easier and less time-consuming analysis.
Trifacta is a data engineering cloud, a single open and interactive cloud platform for engineers and analysts to collaboratively profile, prepare and channel data for analysis and machine learning.
“We wanted to create an open and interactive cloud platform for data engineers,” Wilson said. “Ultimately, if we can bring together the data engineers who create the data products with the line of business analysts who drive a lot of the decision-making and enable collaborative data curation, you’ll see returns This is an incredibly powerful combination and frankly something the market has yet to crack the code on.
Extract value from data
If the acquisition of Trifacta gave Alteryx a unique opportunity to foster collaborative data curation, the purchase of Hyper Anna in October was an opportunity to extract value from this process.
Australia-based Hyper Anna has followed a rapid trajectory from start-up to acquisition. It was founded in 2016 by Natalie Nguyen, a self-taught engineer who developed a viable data analytics product in six months and quickly attracted $12 million in seed funding.
Alteryx had improved its automation capabilities before the acquisition. In May, the company announced a new machine learning product, along with tools for natural language processing, text mining and computer vision. This was followed by an extension of Alteryx’s robotic process automation agreement with UiPath Inc. in September.
Hyper Anna’s cloud platform generates automated AI-powered insights from the data. Its democratized approach to data analysis aims to enable anyone to find insights, regardless of technical background, and the technology has now been renamed Alteryx Auto Insights.
“With Hyper Anna, we’re talking with the business owner line that’s looking for insights that aren’t revealed in traditional dashboards,” Vittal said. “There hasn’t been a single platform for automating analytics across the enterprise. We see a huge opportunity to help brands democratize the use of analytics in their business. »
Engage with the business buyer
Partnerships have been at the heart of Alteryx’s growth in data analytics. There are more than 300 partners in the company’s ecosystem, according to a Partnerbase list, including Amazon Web Services, Google, Microsoft, Salesforce and Oracle.
Alteryx has cultivated a relationship with Snowflake Inc. and its massively scalable performance storage system over several years. In 2021, the two companies announced a new agreement that allowed users to leverage Alteryx’s tools and transform data directly into Snowflake’s engine.
“We have invested heavily in our partnership with Snowflake,” Huelskamp said. “We made sure our technology was compatible with the Snowflake Data Cloud, we co-innovated and optimized for new customer use cases.”
A customer using the joint Alteryx/Snowflake solution is the Local Government Association of Queensland, Australia. The group needed to generate information based on energy consumption data for remote native islands off the coast of New Guinea.
The association combined three technologies, using Snowflake as the data warehouse, Alteryx to extract, prepare and blend the data, and Tableau Software LLC to visualize energy consumption.
“Snowflake has a very strong commitment to the IT buyer,” Dwiek said. “Our partnership with Alteryx allows us to engage with the professional buyer, solve their problems and demonstrate the art of the possible.”
The rise of the Big Data era has come with enormous complexity. Data management is a chore and getting the technology to work as advertised to manage this process has not been easy. The cloud offers the promise of a more efficient solution, and Alteryx is making a big bet on an automated platform that will generate data insights without having to be a technical expert.
“It involves everyone getting involved in accessing AI and machine learning to unlock insights,” Henderson said. “It’s about taking it out of the hands of a small group of data scientists and putting it into the hands of analysts and business users. Cloud orientation, mastering big data, AI as a strategic advantage, and personalities within the organization are the four big themes you will see us working on over the coming months and years. future. »
You can watch the full “Accelerating Automated Analytics in the Cloud with Alteryx” event on theCUBE’s dedicated event channel. (*Disclosure: TheCUBE is a paid media partner for the “Accelerating Automated Analytics in the Cloud with Alteryx” event. Neither Alteryx Inc., the sponsor of theCUBE event coverage, nor other sponsors have editorial control over theCUBE or SiliconANGLE content.)