Alteryx

Started out using alteryx for complex labor modeling - basically bringing in data from lots of sources and blending how we needed. Now I use it for almost everything because its easier than excel and python. With low to no code you can have the same data outputs as python (with pandas dataframes) and/or R... or you can add your own code in!

Alteryx is the unique data analytics tool I have ever used or tested. Learning the tool is very quick, you can start to analyze as soon as you start to use. Maybe you cannot be a super analyst, but you start to analyze in 2 hours or less. You can save tremendous of time, automate many processes. It's cross platform and supports tens of databases which you can bring all together and start analyzing. Spatial Analysis, direct support R and Python, Machine Learning, Intelligence Suite and much more in only one product. I use it more than 4 years and I cannot live without Alteryx. If you're in the cloud, it is already supported. Thank you Alteryx and its developers who contributed to my work that much.

I gave consulting to enterprises using Alteryx to streamline their data to insight pipeline, it included finance firms, retail & cpg, manufacturing, airlines... major problems that are common were reaching out the multiple data sources and tumbling them which creates big tables, joining data and enriching... Alteryx was fast and easy on that... It has great geospatial capabilities as well. And good AutoML capabilities. Forecasting is a bit simpler than expected unfortunatley and optimization capabilities were small scale...

Alteryx is used for many different purposes in my organization. I can speak for Global Supply Chain. Within Global Supply Chain Data Domain Alteryx is used as Tool for running different workflows in order to monitor material master data Quality for example. Different rules are implemented so that master data settings can be improved based on the results.

Alteryx used for data wrangling, modeling, and data visualization. I find that Alteryx has an easy-to-use user interface and makes the ETL process smoother. I think the data visualizations produced by Alteryx are generally good, although not the best in the industry. Overall, I use Alteryx when I want to be able to easily reproduce a data process and want to be able to do analytics quickly.

Our team uses Alteryx to pull in data from multiple sources (mostly excel and S3 buckets), then blend, prep, and apply formulas in a forecasting model. This model is used to give labor forecasts and recommendations. As an individual contributor I have grown to love Alteryx as it takes the place of using Python and Excel individually for prepping reports and blending data.

Alteryx is a crucial part of our organization, addressing key business problems through its data integration, preparation, advanced analytics, and workflow automation capabilities. We leverage Alteryx to efficiently handle diverse data sources, perform complex analyses, and automate processes, improving decision-making and operational efficiency. Its deployment spans across departments, empowering us to drive data-driven insights and gain a competitive edge.

Alteryx is used across all aspects of the business, from HR to finance, legal to supply chain. We solve everyday data cleanliness and connectivity problems and generate insights using automated machine learning. We connect systems together, clean & combine datasets, generate additional features, and (depending on the use case) perform a variety of analytics: spatial, prescriptive, and predictive. All are automated dynamically by Alteryx.

We handle a lot of data. We need to do so accurately, consistently, and efficiently. Since we have been using Alteryx, we have been able to re-platform and (massively) improve existing processes as well as introduce new ones, many of which are available to colleagues on a self-serve basis. Processes that used to take a day, now take minutes, while we have been able to handle data in a level of detail that we were unable to do previously. Scheduling a simple App to check data has already saved us thousands. Moreover, I love developing on Alteryx; it is intuitive, flexible, and enjoyable to use.

Alteryx is being used across the whole organization from the tax department to the assurance department. Alteryx is a fantastic software that allows for data manipulation and complex workflows that would normally take a program like excel double, maybe even twice the manual work. With Alteryx expect juiced up version of excel with a workflow layout allowing you to build custom flows to manipulate and understand complex data.

We use Alteryx to merge and reformat large data sets. We have workflows built out to automate tasks that are done at weekly, bi-weekly, monthly and quarterly intervals.

As a data consulting firm, Alteryx is at the heart of the business. It's one of the softwares that we specialise in. The product addresses a multitude of business problems. The flexibility, creativity, and low barrier to entry really help the technical staff have conversations with non-technical staff without "losing" them in the details. The workflows you can produce are visual, logical to follow, and allow you to step through the entire process. The visual workflows are an amazing feature in terms of debugging, helpfulness when sharing the workflow, and the readability of your work.The best part of Alteryx for me is the automation. Like many ETL tools: connecting to any data source, combining disparate files however you like, transforming the data, and then having the ability to output the information in a variety of data formats is one thing. But then being able to automate this is a complete step up. i.e., automatically selecting the most recent files in folder dumps (based on metadata), bringing those into the workflow, and running those new files on the original workflow you built (without having the repoint data sources). Game changer. And the list goes on in terms of its uses.

A good analytical tool that is easy to use, allows easy import of data sources, seamless manipulation and cleansing, and easy exports into databases. The user-friendly interface, ease of learning, and minimal coding requirements make it a must-have. Nice tool for data science, machine learning, and predictive modeling enthusiasts, who can also visualize their data to check its integrity and quality.

Data cleaning, processing, making the data easier to use and reliable.

I use Alteryx daily for data prep, formatting, reporting for end users, outlier identification, trend analysis, and as a data feed for our Spotfire and Tableau dashboards. Our Alteryx workflows scheduled on the Server connect to Snowflake and generate recurring output without any manual intervention.

Alteryx is to my knowledge the most efficient tool for agile data preparation. I use it massively as a low-code yet elaborate-feature-rich piece of software to acquire, transform, cleanse and analyse data, generally big data, from various and heterogeneous sources as required for the corporate internal audit assignments which cover the full scope of business units and activities in the company I work with.

Alteryx enabled users with deep business and customer knowledge the ability to quickly access data, transform it into information, and then determine long term benefit by rapidly prototyping solutions. Speed to insight is critical to lower the cost in prototypeing before full scale technology solutions can/should be built.

I use Alteryx for a wide range of solutions in Financial Services. In various areas of our organization, I have used Alteryx for reconciliation, data quality, metadata, and reporting, but the area that Alteryx really excels is in dynamic workflow automation. We can create and schedule workflows to run regularly and then move on to other projects confident that our automation will run as expected.

Such a versatile tool. We leverage Alteryx daily to automate processes, take costs out, add value and improve decision-making. It's also used to prototype solutions prior to a hand-off to our engineering team. One such example, which tends to repeat regularly - is bringing together disparate sources of data. One tool to bring it all together, perform the transformations and prepare for the visualization layer. This is where Alteryx really shines.

Automating previously manual business processes and reporting. We also use it for ad hoc reporting needs as they arise within the business. Some workflows have cut hours of manual work down to just a few minutes. Very useful in a lean six sigma/ continuous improvement work environment. Very pleased.

Alteryx is used throughout the company. The area I directly support, supply chain analytics, it is used both "big" and "small": From the engine behind larger supply chain models that drive inventory strategy to protect service; to refining planning parameters intended to predict the future behavior of our supply chain and drive our plan; to ad hoc questions that can now be answered in a matter of minutes; Alteryx is the Swiss army knife that enables these endeavors.

Alteryx is great for blending data from different sources. We use it to format the data and combine different data in order to make it ready for Tableau. You can also connect to different APIs and schedule workflows to help automate things. We input data from sources like our LMS, Qualtrics survey results, and various spreadsheets.

Unlike dealing with already cleansed and validated data sitting in data warehouses, when it comes to big volumes of unstructured 'dirty' data in non-standard formats which then need to be quickly cleansed for analysis is where Alteryx shines. By making use of easy-to-understand workflows, even not-so-technical users are able to leverage the built-in tools in order to quickly clean, process and output data in the required format without having to defer to a data engineering specialist. An example includes trying to process 100+ text files containing 10+ million key IDs separated by spaces, which if done manually via Microsoft Excel would have likely taken roughly half an hour to process each separate file, thus requiring potentially 50+ hours to complete. Instead in Alteryx uses a simple workflow which opens a text file, separates each key ID into a new row and discarding. The headers then repeat for all the text files in the directory taking half an hour to design the workflow. After this, it takes less than a minute to actually run and output a single file which can be then used by Microsoft PowerBI or Tableau to perform analysis and/or create an ad hoc dashboard.

We use Alteryx to solve analytic problems across the organization in all departments. Alteryx is more than a data manipulation tool. Although the bread and butter functionality is the ability to pull data from multiple sources, the platform allows users to create analytical apps, output to visualization tools such as Power BI/Tableau, databases like Redshift/Snowflake, and control user access centrally from the Analytics Hub (Server). Our specific pain point was speed to delivery of analytic results. Alteryx is easy to use, even for a non-analyst. With a small team, we were quickly able to produce analytics that fed into our visualization tools and data warehouse. We have three departments that rely on timely analytics: operations, finance, and clinical teams. The platform can handle complex clinical analyses, which can sometimes be difficult on other platforms. The ability for Alteryx to connect to API endpoints, S3 buckets, and sFTP sites allows us to pull in data from non-traditional data sources.

Alteryx is used in many capacities across our organization with the primary usages being for Process Automation and Ad Hoc Analysis. Alteryx has enabled the democratization of data making connections to Authoritative Data Sources accessible for non-technical users as well as creating an empowered workforce that uses Alteryx to automate their own day-to-day tasks and free themselves and their teams up for more value add activities. The scope ranges from solutions that are impacting and used by a single individual to solutions that are directly or indirectly touching hundreds and in some cases even thousands of people within the organization.