Alteryx is a platform that enables organizations to swiftly and effectively solve business issues. The platform can be a vital component of a digital transformation or automation project.
Alteryx enables teams to create business intelligence processes that are more efficient, repeatable, error-free, and risk-free. Unlike many other products, Alteryx is simple to use for users who do not have a background in IT or coding knowledge. Companies that use Alteryx enjoy greater employee engagement and throughput from their analysts in every area.
There are many benefits to using Alteryx for business intelligence, including the following:
- With hundreds of no-code and low-code analytic building pieces that allow highly flexible and repeatable processes, analysts can prep, mix, and analyze data quicker. With data profiling and exploration, you can see how data is transformed into insights.
- Its outstanding visual design and logical grouping of features provide a highly natural learning experience for most users, with rapid adoption and low initial learning curves.
- It provides quick and straightforward tool setups that are clear, basic, and succinct.
- Its software architecture assures that all of the platform’s tools operate as standalone operators in tandem with one another. When dealing with data from various sources, this harmonious tool interaction allows users to explore maximum creativity and lack of error.
- Its flow-based coding approach creates a strong relationship with data at all stages of the development process, and the ability to separate and rejoin data streams smoothly helps users prototype and finish workflows quickly.
- There’s no need to load libraries or preprocessor directives, remember function names or parameter lists, or execute other programming jobs like memory management involving allocation, deallocation, fragmentation elimination, etc. This can help teams save much time.
- The program runs very well. No compute node configurations or libraries are needed, and workflow compatibility increases over time.
- Consolidating the capabilities of many tools into one platform removes the hurdles to enterprise-wide data analysis. Drive insights to more than 70 different outputs, including dashboards, papers, RPA bots, process intelligence systems, and business apps.
- Your data workers can quickly develop predictive models using enhanced machine learning without coding or conducting difficult statistics. You can construct adequately trained algorithms ready to deploy using a guided, step-by-step, or completely automated procedure.
Alteryx does have its downsides, including the following:
- The platform’s syntax is not very clear when noting where code is necessary.
- Only offers cloud-based data connections.
- It uses the AMP Engine, which is not always the most reliable.
- It only offers a two-week free trial, which may not be enough time for teams to explore and test the efficiency and compatibility of the platforms.
- The response time for extensive data sets can be quite long.
