What we do in Alteryx
Every month, an analyst downloads files from several systems, corrects their formats, and manually recreates the same rules. When a source or column layout changes, report preparation stops, while knowledge of the process remains with one person. In Alteryx, we turn these steps into an organized workflow with explicit logic, data controls, and a defined outcome.
We design new processes and organize existing ones. We connect data from databases, data warehouses, APIs, and files, automate transformations, and prepare the output for a report, analytical model, database, or another system.
Data preparation and integration
We build workflows that retrieve data from multiple sources, clean, combine, and transform it, and save it in the required format. The project includes quality rules, exception handling, and control results so that the process owner knows whether the data is ready for further use.
Automating recurring analyses
We move recurring steps from spreadsheets and manual instructions into workflows that run on a defined schedule. We document dependencies, parameters, and process accountability so that maintenance does not depend on one person’s memory.
Predictive and spatial analytics
We develop processes that use the statistical, predictive, and spatial tools available in Alteryx. We combine the analytical output with business data and send it to a report or an operational process in which the user makes a decision.
Data for reporting and systems
We prepare data for Power BI and Tableau reports, databases, and client applications, among other uses. When a challenge extends beyond a single workflow, we connect Alteryx to the broader data and analytics architecture. Explore the complete Data & BI offering →
Alteryx implementation: from process to launch
We start with a specific process, its audience, and its outcome. We determine where the data comes from, which rules are currently applied manually, where exceptions arise, and how the user recognizes a correct result.
- We analyze the process and sources. We map input data, rules, exceptions, audiences, and the required outcome.
- We design the workflow. We organize the steps, parameters, quality controls, and error-handling method.
- We build and test the process. We compare the result with control data and scenarios approved by the business owner.
- We launch the solution. We configure scheduling, access, monitoring, and delivery of the output.
- We hand it over for maintenance. We document the flow, dependencies, and accountability for requests and further development.
The scope covers both a single data preparation process and an environment with multiple workflows shared by several teams.
Developing and maintaining the Alteryx environment
We take over existing environments, including those where workflows were created in stages and have multiple owners. We inventory flows, schedules, connections, dependencies, and the people who use the results. We then set priorities for changes and organize how the environment is supported.
We add new sources and rules to workflows, analyze errors, optimize long-running steps, update connections, and document the logic. As part of maintenance, we monitor process runs and outcomes, handle requests, and manage the development backlog.
If the challenge concerns not only Alteryx but the entire analytics environment, the right starting point is the BI Optimization Assessment. We also describe the scope of ongoing support on the BI maintenance, support, and development page.
Alteryx licenses
We sell Alteryx licenses and tailor their scope to the organization’s operating model. We determine who creates workflows, who uses them, where processes will run, and who is responsible for administration and maintenance.
We define the process and operating model first, then select the licenses. Before purchase, we establish the first process, data sources, user roles, and execution method. This allows the organization to order an environment that matches its real operating model and gives the implementation a clearly defined scope.
Our services combine license delivery with implementation, development of existing workflows, or a plan to organize the environment. Cost depends on the required products, the number and roles of users, and the process execution model.
Alteryx migrations and alternatives
When an organization is looking for an alternative to Alteryx, we first determine what actually works in the existing workflows. We inventory sources, components, rules, schedules, dependencies, control results, and audiences. Based on this analysis, we decide which processes to migrate, simplify, combine, or leave in Alteryx.
ETLO—Astrafox’s own AI-powered product
ETLO is used to build and maintain data preparation flows with explicit logic, quality controls, and AI support. AI supports flow creation and diagnostics, while a specialist reviews the result and approves the change. We consider ETLO when an organization wants to develop its processes in an Astrafox solution and connect them to the other elements of its data environment.
KNIME—data process implementation and development
We implement KNIME and develop data preparation and analytics processes in it. We consider this direction when the organization’s requirements, components in use, and maintenance plan indicate that workflows should be migrated to KNIME.
We run the migration in stages. We recreate the required logic, compare the results with the source environment, test schedules, and switch users after the outcomes have been approved. We do not automatically copy every workflow one-to-one—we preserve the rules the business needs and remove unnecessary dependencies.
See how an Alteryx-to-ETLO or KNIME migration works →
If the change covers a broader data platform, we also design the architecture in Microsoft Fabric and its integration with Power BI reports.
What determines scope and cost
Scope depends on the number of workflows, sources, and environments; the complexity of the rules; the quality of documentation; schedules; security requirements; and maintenance accountability. For a migration, the components in use, required result consistency, and method for switching users in stages also matter.
The first conversation does not require a complete inventory. It is enough to identify one important process, its input data, expected outcome, and the challenge that currently consumes time or increases the risk of error.
Frequently asked questions about Alteryx
What is Alteryx and what is it used for?
Alteryx is a platform for preparing, combining, transforming, and analyzing data in visual workflows. It automates recurring processes, runs analyses, and delivers results to reports, databases, and other systems.
What does an Alteryx implementation involve?
We start with one process and its expected outcome. We map sources, rules, and exceptions, build the workflow, compare the result with control data, and then configure execution, access, monitoring, and maintenance.
Does Astrafox sell Alteryx licenses?
Yes. We sell Alteryx licenses and combine them with needs analysis, implementation, workflow development, and environment maintenance. We tailor the license scope to user roles and how processes will run.
What is an alternative to Alteryx?
For migration projects, we use ETLO—Astrafox’s own AI-powered product—and KNIME, which we implement and develop. The choice depends on the components and sources in use, security requirements, maintenance model, and process development plan.
How does a migration from Alteryx to ETLO or KNIME work?
We inventory workflows and dependencies, define result consistency criteria, recreate the required logic in the target environment, and test the processes. We switch users in stages after comparing the outcomes and securing the process owner’s approval.
Does Astrafox maintain existing Alteryx environments?
Yes. We take over the maintenance of client environments, monitor runs, handle errors and requests, develop workflows, and organize process documentation and accountability.