Alteryx

I use Alteryx for data wrangling. It is a great tool to connect to multiple different data sources in one workflow. I like that its low code and you are able to teach it to beginner users. I wish I had this tool earlier in my career. I also like that you can use it for more advanced items such as pulling APIs, performing data investigation and data forecasting.

Alteryx is the core ETL tool used as part of the process within solutions delivered to clients. Alteryx is a single platform that can be leveraged for multiple functionalities including data processing, data cleaning, reporting, analytics, development and interfacing. What makes Alteryx different from other tools is the unique feature it provides for a range of tools categorized in toolsets. All that is required is to drag and drop these tools on a canvas to create workflows.

We use it to solve a variety of business problems in:
- Data Integration
- Data Engineering and Analysis
- Text-Mining (PDF Extraction)
- Webscrapping

• Recently we solved used it to extract information of 8000-9000 paper bills - the workflow was built within 30 minutes and saved months of manual work.
• Another one included the connection to our ERP system. We use Alteryx to improve our Masterdata quality and identify bad entries with ease.
• Additionally Alteryx is currently used to run all our internal data processes between system. A follow up step on many of them is a Tableau dashboard that visualizes it.

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.

We use Alteryx to transform client data for ingestion into proprietary tax compliance software. We also use it to validate the format and content of client information. Internally, Alteryx is crucial to our ongoing process improvements, and we use it to bridge legacy systems into new solutions. We develop one-off workflows for smaller solutions and deploy analytic apps for repeatable and widely distributed processes. We train and support users in both the tax technology and tax compliance practices, encouraging engagement teams to develop and maintain workflows themselves wherever possible.

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 has fundamentally transformed our ability to solve complex Supply Chain problems. We can automate repetitive tasks in a relatively short amount of time for nearly constant ROI. We now use Alteryx to start most (if not all) BI pipelines and for creating complex analytic apps that can be shared broadly across the organization. We're eager to put Alteryx to task on increasingly complex workflows and love the additional products that can be added to scale the ability of workflows as needed.

We use Alteryx in a number of ways across the organization, and leverage it in different capacities wherever data analysis and process automation are needed. We use Alteryx for data prep and blending across numerous disparate data sources, customer segmentation and buy propensity analysis, time series forecasting, market opportunity analysis, consumer behavior, and geospatial coverage based media selection optimization, automated report generation, automated invoice pdf scraping, media delivery pacing reports, and the list goes on. We are able to leverage a small team of Alteryx Designer users for ad-hoc analysis requests and builds of analytic applications. Over 100 of these analytic apps have been deployed across the organization via our Alteryx Gallery that is all utilized in different capacities, allowing end-users to complete high-level analytics and reporting tasks for instance with only a quick interaction with a simple interface and no coding or even "drag and drop analytics" knowledge needed. One such application alone has automated analytics processes and report generation to the degree that with the amount it has been used, what would have once taken in aggregate 20+ years of labor to produce has been reduced to a single workweek of staff input and computer processing time.

Data blending, process automation, basic AI.

As a consulting & Services company, we use Alteryx for many use cases and departments within our clients. We address every data, integration, and analytics needs with Alteryx.

Alteryx has allowed us the self-service reporting capabilities that we longed for. With many disparate data sources, reporting was a chore and our analytics teams were bogged down with ad hoc reports. Alteryx allowed us the ability to create self-service tools through the analytic apps deployed to the gallery that could be leveraged by the business to pull their own ad hoc reports. This freed up analysts to do more complex reporting and analysis.

I use Alteryx to automate all our analytics, we have converted all our SQL queries and access databases into automated Alteryx workflows from which we then use the intelligence suite to conduct automated machine learning to get real insights into the data we or our clients currently hold. We also use Alteryx to upskill analytics teams from analysts to citizen data scientists

I am using Alteryx for automation and improving the current methodology of standard (daily basis) reporting. It allows to reduce time spent on it and enhance the process of data analysis. Ad-hoc reporting is more accurate, comprehensive, and detail-oriented. Additionally, Alteryx helps me to prepare data sources for Tableau dashboard. Such a solution is powerful as I can blend the data in workflow and eventually produce one data source, it means better and faster dashboards' performance. Last but not least - Alteryx supports transition from manual processes into a half-automated solution.

We use Alteryx to streamline the data usage amongst our internal clients by providing streamlined automation and applications to bring complex data questions into easy to interpret outcomes. With Alteryx's issue ticketing, KPIs, system statuses, and more are easily managed, automated, and curated with speed and efficiency.

Alteryx is often used to solve problems that are created by data. We have used it for visualizations, self-serve data, HR solutions, and automating an email/Machine learning process. Alteryx allows for virtually anything to be done within data, and we have even started to see Alteryx leak into personal projects.

I implement Alteryx across multiple verticals and across all levels of organisations. I've been using Alteryx alongside many other ETL/ELT, Business Intelligence, and Enterprise Warehousing solutions for many years. I am constantly impressed by how rapidly it can be deployed and how the benefits can be seen on day one. This platform can revolutionise businesses that are still dependent on Excel, SQL, or other legacy platforms and can immediately remove the bottleneck many businesses have due to IT being the focal point of data reporting and analytics. With the constant development of the platform and the vast global community, Alteryx is always at the cutting edge, whether that be constant improvements to the standard data blending and prep tools to the emergence of automated machine learning, image analysis, etc. Basically, Alteryx can do everything with your data. Code-free.

Alteryx is at the core of our analytics; it’s the engine that sits behind our business analytics strategy. It serves as our single version of the truth, bringing in data to one single picture of how the market is moving and allowing us to focus on critical areas such as product quality and competitors to be more agile in the marketplace. We were able to democratize data by pushing it out to the end-user, providing solutions that give time back to analysts so they can focus on analyzing data. We’re building a world-class centralized analytics team focused on this piece of the puzzle.

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

We use Alteryx to build and deploy Propensity to Purchase Models, market sizing, customer product usage analysis, geographical analysis, and other analytics. It is also very useful for data cleaning and imputation and is our primary research tool for data investigation. We also use it for list creation and match back analysis.

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.

We use Alteryx to pull in data from our source systems and transform the data to our needs. Alteryx has been extremely helpful to pull in data as it is super quick and allows for very custom queries. The IN-Db toolset is a gamechanger as it allows users to build complex SQL statements with ease.

Alteryx is used by a variety of small teams within our group to prepare and revise Excel reports from their raw state to be ready for a variety of both client-facing and dashboards. Essentially, a number of reports need to be consolidated with new variables created, so that the data is clean and easy to manipulate when creating the dashboards we need in Microsoft Power BI.

Alteryx is used across most departments at Novus, either in desktop form or through gallery apps. We use it for everyday reporting, QA checks in operations, status reports in media planning and strategy, drawing and analyzing trade areas, and even for semi-automated data transformation and database building. That's just scratching the surface.

We use Alteryx for significant database scrubbing, development of reporting tables, and scheduling of recurring reports for end-users. The program has allowed us to move away from using [Microsoft] Excel to prepare data for use in reports. Additionally, the scheduling capabilities have allowed us to automate a number of reports that used to require the intervention of a DBA or other business user to generate on-demand. Not only has this freed up resources for other purposes, but [also] has allowed the teams requiring these reports to be much more nimble. The fact that Alteryx is so user-friendly for those without a strong background in SQL or other database languages has allowed for certain reporting functions to be handled at a level that otherwise wouldn't be possible. This has [a] broad reach within our organization, from Finance to Operations to Marketing. Ad-hoc analyses that used to require stringing together multiple Excel sheets, spending time vlookuping all day, and slogging through slow response times have become much faster - ultimately allowing answers to be found faster than before.

Alteryx is used in several departments including Data Science, Finance, Risk, Marketing, and Sales. It is used for everything from simple ETL to complex advanced analytics, including predictive modeling/ML/AI.