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Alteryx Inc   (AYX)
Other Ticker:  
 
    Sector  Technology    Industry Software & Programming
   Industry Software & Programming
   Sector  Technology
 
Price: $48.2600 $0.01 0.021%
Day's High: $48.27 Week Perf: 0.06 %
Day's Low: $ 48.25 30 Day Perf: 0.75 %
Volume (M): 6,824 52 Wk High: $ 50.05
Volume (M$): $ 329,341 52 Wk Avg: $40.64
Open: $48.25 52 Wk Low: $27.92



 Market Capitalization (Millions $) 3,428
 Shares Outstanding (Millions) 71
 Employees 555
 Revenues (TTM) (Millions $) 970
 Net Income (TTM) (Millions $) -179
 Cash Flow (TTM) (Millions $) 422
 Capital Exp. (TTM) (Millions $) 24

Alteryx Inc

We are a leading provider of self-service data analytics software. Our software platform enables organizations to dramatically improve business outcomes and the productivity of their business analysts. Our subscription-based platform allows organizations to easily prepare, blend, and analyze data from a multitude of sources and more quickly benefit from data-driven decisions. The ease-of-use, speed, and sophistication that our platform provides is enhanced through intuitive and highly repeatable visual workflows. We aim to make our platform as ubiquitous in the workplace as spreadsheets are today.

As the volume, velocity, and variety of data continue to expand, the ability to leverage this data for actionable insights has become increasingly foundational to modern business success. However, traditional data analysis tools and processes are slow, difficult to use, and resource-intensive, often requiring multiple steps by data analysts, data scientists, information technology, or IT, employees, and other data workers to complete even the most basic analysis. As a result, these tools and processes are unable to keep pace with the rapid analytics demanded by organizations today.

Our platform democratizes access to data-driven insights by expanding the capabilities and analytical sophistication available to all data workers, ranging from business analysts to expert programmers and trained data scientists. We bring the fragmented analytic process into one simple and cohesive self-service experience, combining tasks that were previously distributed among multiple tools and parties. Our platform allows a single user to access various data sources, clean and prepare data, perform a variety of analyses, and then deploy the results for consumption and to operationalize the insights discovered. This is done through visual workflows and an intuitive drag-and-drop interface that can eliminate the need to write code and reduce tedious, time-consuming tasks to a few mouse-clicks. The resulting opportunity is significant, as our platform can enable millions of underserved data workers to more effectively do their jobs.

Organizations of all sizes and across a wide variety of industries have adopted our platform. As of December 31, 2017, we had approximately 3,400 customers in more than 70 countries, including over 400 of the Global 2,000 companies. Our customers include Ford Motor Company, Kaiser Foundation Health Plan, Inc., Knight Transportation Inc., Nike, Inc., Southwest Airlines Co., Tableau Software, Inc., and Tesco PLC. Our platform is also leveraged by leading management consulting organizations such as Accenture plc, Bain & Company, and Boston Consulting Group.

We employ a “land and expand” business model. Our go-to-market approach often begins with a free trial and is followed by an initial purchase of our platform offerings. As organizations realize the benefits derived from our platform, use frequently spreads across departments, divisions, and geographies through word-of-mouth, collaboration, and standardization of business processes. Over time, many of our customers find that the use of our platform is more strategic in nature and our platform becomes a fundamental element of their regular analytical processes.

Our self-service data analytics platform disrupts well-established portions of the business analytics software market. According to IDC, the worldwide market for big data and analytics software represented approximately $49 billion in 2016 and is expected to grow to approximately $81 billion in 2021. Within the broader big data and analytics software market, our solutions currently address the business intelligence and analytic tools, analytic data integration and spatial information analysis markets, which collectively represented approximately $19 billion in 2016 and are expected to grow to approximately $29 billion in 2021.

There is significant additional potential spend not included in the above estimates associated with spreadsheet users who we believe can benefit from our platform. According to a separate IDC study that we commissioned, an estimated 21 million spreadsheet users worldwide worked on advanced data preparation and analytics in 2016. Based on this study, we estimate that there is an additional opportunity of over $10 billion that our platform can address. In the same study, IDC estimated that over 80% of spreadsheet users are using manual copy and paste methods to acquire data. The IDC study also estimated that in the United States alone, there is a cost to companies of approximately $60 billion per year associated with time spent by data workers repeating processes when data sources are updated.

Our analytics platform enables organizations to dramatically improve business outcomes and the productivity of their business analysts and citizen data scientists. Our subscription-based platform allows organizations to easily profile, prepare, blend, and analyze data from a multitude of sources and benefit from data-driven decisions. Our platform is:

• Efficient. We offer a self-service platform that allows business analysts to perform analysis on their own that traditionally required multiple parties and work streams to complete. Our in-memory software “engine” is designed to ingest and process large volumes of data rapidly and enable responsive and agile analysis, delivering dramatically “faster time to insights”. Once a workflow has been assembled, the analysis can be repeated in minutes and shared with others who can easily replicate the analysis. With our platform, data analysis is automated, repeatable, and shareable.

• Independent. We enable business analysts to rapidly answer challenging business questions on their own, without the need for support from expert programmers, trained data scientists, or other members of the IT department. Our platform offers analytics with easily understandable drag-and-drop tools that have easy-to-configure parameters that do not require coding. With our platform, business analysts can manage all steps in an analytic process without the assistance of their IT departments.

• Flexible. Our platform does not require a pre-packaged, static data set and instead allows the user to create a visual workflow to securely interact with the underlying source data. Workflows can be easily changed and reconfigured to iterate an analysis and add a new data source or new logic. They also can be easily adapted to conform with changes in the underlying data to repeat the analysis. This flexibility allows workflows to be configured to address a wide range of use cases. Business analysts can build apps that let others interact with the workflow through a simple interface available on the public or private cloud or they can configure a workflow to output results directly to a database or system of record. Our platform also outputs to most visual formats such as those offered by Microsoft Corporation, Qlik Technologies, Inc., and Tableau.

• Sophisticated. Our platform provides business analysts an extensive set of analytical capabilities. Our drag-and-drop visual workflow environment includes capabilities that allow users to: access data from a variety of locations such as a local desktop, a relational database, or the cloud; prepare data for analysis; blend multiple data sources regardless of the data structure or format, including big data technologies; gain access to over 50 pre-packaged tools of the most widely used procedures for predictive analytics, grouping, and forecasting; and take advantage of geospatial data to drive understanding of topics such as trade areas and drive-time analysis.

• Scalable. Our platform offers a secure collaboration environment for even the largest organizations. Business analysts can create, publish, and share analytic applications across the organization, embed analytic processes into other internal applications, and save and access workflows within a centralized repository with version control when working across multiple teams. The ability to deploy our platform on-premise or in the cloud also provides additional flexibility to scale as each customer’s business needs grow. By pushing analytical workloads to a reliable server architecture, customers can run sophisticated compute-intensive processes more efficiently than local machines allow, while automating and scheduling these workflows to give business analysts stronger control of their analytic landscape.

In-Memory Engine

Our in-memory engine is optimized to process data within RAM and can utilize disk, when necessary, as temporary virtual memory. This facilitates significantly faster and more secure processing of data than traditional disk-based mechanisms while ensuring that the source data remains unaltered and is not duplicated. Key features of our engine include:

• Connected. Business analysts can rapidly connect to data in existing formats and locations, reducing the need for time-consuming data transformation processes that typically require IT personnel.

• Non-persisted. Our engine leverages non-persisted data pipelines to enable users to process large amounts of data securely while applying complex logic every time they run an analytic workflow.

• Scaled-out. While most workflows can be run on any single desktop or laptop, when greater processing capability is required, workloads can be pushed to a server or cluster of servers, including Hadoop or Spark clusters. In addition to our high speed in-memory processing capabilities, our platform enables in-database processing to take advantage of computing resources where the data resides for certain use cases.
Sophisticated Analytic Models

We enable business analysts to run analytics ranging from basic to highly complex, including predictive, prescriptive, and spatial analytics. Specifically, we enable predictive analytics through utilization of R, an open source programming language and software environment for statistical computing, and Python, a popular programming language for analytics with many publicly available packages. Our capabilities allow transparency and editing of the R and Python code without requiring prior coding experience. In addition, in-database processing enables analysts to scale predictive analytics and harness the value of large sets of data without moving the data out of a database, improving predictive model development performance over traditional approaches. Deep geo-spatial tools, such as a drive time engine, create the basis for performing location-based analysis.

Open and Modular Core

Our platform is built with an open and modular core that enables additional functions and programming models to interact with it. For example, our platform can utilize R for advanced analytics while providing a simple drag-and-drop interface that abstracts the complexity of the underlying code. For sophisticated business analysts, the underlying code is available for review and adjustment. The integration of our platform and R takes advantage of segmented, but integrated main-memory resources to ensure seamless, fast operations. More recently, we introduced the JavaScript V8 engine for our platform in a similar capacity. This enables the introduction of new HTML5 UI, Server-side Javascript, and JSON/REST APIs to all fuel the innovation being driven from our platform.



   Company Address: 17200 Laguna Canyon Road, Irvine, 92618 CA
   Company Phone Number: 836-4274   Stock Exchange / Ticker: NYSE AYX
   


Customers Net Income grew by AYX's Customers Net Profit Margin grew to

7.63 %

7.85 %

• Customers Performance • Customers Expend. • Customers Efficiency • List of Customers


   

Stock Performances by Major Competitors

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Alteryx Inc

Alteryx Inc. Delivers Impressive 16.552% Surge in Revenue, Sets New Benchmark in Q4 2023 Financial Results



Alteryx Inc, a leading software and programming company, recently released its financial results for the October to December 31, 2023 period. The report showcased a significant turnaround with impressive improvements in revenue, earnings per share (EPS), and profit margins. These positive figures indicate the company's potential for growth and have captured the attention of investors in the stock market.
Financial Performance:
Alteryx Inc experienced a notable improvement in its financial performance during the reported period. The company reported a profit of $1.07 per share, a substantial increase compared to the previous year's loss of $0.45 per share. Additionally, EPS turned positive from a negative $0.70 per share in the previous reporting season, highlighting the profitability of the company's operations.

Alteryx Inc

AYX Achieves Stellar Progress: Remarkable Financial Growth in the Latest Fiscal Quarter

Alteryx Inc. is a software and programming company known for its advanced analytics platform. The company recently released its financial report for the third quarter of 2023, which showed significant improvements compared to the same period last year.
One of the key highlights in the report is the decrease in loss per share. Alteryx Inc. managed to decrease its loss per share from $1.09 in the third quarter of 2022 to $0.70 in the same period of 2023. This demonstrates the company's efforts to improve its financial performance and move towards profitability.

Alteryx Inc

Alteryx Inc Witnesses Intensified Deficit, but Softly Rises in Revenue for Q2 2023



Alteryx Inc, a leading software and programming company, recently released its financial results for the second quarter of 2023. While the company witnessed a decline in earnings per share, it also experienced a modest increase in revenue. This article will delve into the facts and interpret the financial results, highlighting relevant figures, and provide an overview of the company's current market performance.
Financial Results for Q2 2023:
Comparing the second quarter of 2023 to the same period last year, Alteryx Inc reported a shortfall per share of $-1.70, a marginal increase from $-1.56. On the revenue front, the company managed to generate $188.00 million, representing a growth of 4.084% from the previous year's reporting season. In the prior quarter, the company recorded a revenue of $199.09 million and a net loss per share of $-1.27.
Increasing Net Deficit and Rising Demand:
Alteryx Inc's net deficit for the second quarter of 2023 stood at $-120.000 million, indicating a higher loss than the $-106.766 million reported in the same period a year ago. Additionally, the company observed a significant increase in accounts receivable, which could be indicative of rising demand. Accounts receivables were valued at $120.0 million, displaying an upward trend and exceeding the figures from the preceding quarter.






 

Alteryx Inc's Segments
 
 
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Alteryx Inc does not provide revenue guidance.

Earnings Outlook
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