Alteryx vs. Data Virtuality vs. Improvado

Improvado streamlines data from 300+ marketing data sources. Such a range of data sources allows for in-depth cross-channel marketing analytics. With data from different channels on a single dashboard, you can build detailed marketing reports and track metrics like ROAS, CPL, CPA, ROMI, ROI, and many other custom indicators. Users get a single source of truth for all their marketing channels, along with a holistic view of their prospects’ devices, age, gender, preferred channels, and more.

Alteryx Analytics Hub fully supports six data source technologies, including Amazon Redshift, MySQL, Oracle, SAP Hana, Snowflake, and Microsoft SQL Server. According to the platform, other data source technologies are partially supported. Thus, they can only be used for input and output. They don’t work with workflow dependencies or metadata loading and must be imported using the required ODBC driver and DSN settings.

Data Virtuality provides connectors (“pipes”) to over 200 data sources, including NetSuite, Facebook, eBay, MongoDB, etc. It also links to over 20 data warehouses and data lakes, including Amazon Aurora, Redshift, Heroku, Oracle, and more. Furthermore, the platform connects to over 20 BI tools, including Google Sheets, SAP Business Objects, Pentaho, and more.

Improvado’s data dictionary provides a complete overview of all marketing reports across different providers. The dictionary describes metrics, properties, dimensions, and more. Besides, Improvado provides an extensive library of dashboards and explains how to adjust them for your exact use case. If users can’t find the required information in Improvado’s documentation, they always have a dedicated support manager who will answer all their questions. Finally, companies that don’t have enough resources for adjusting dashboards and dealing with data operations can use Improvados’ Professional Services package to augment their in-house team with experienced offsite marketing experts.

Alteryx provides support via its support ticket system. It also provides a phone number and community forum. There is comprehensive documentation via a knowledge base, release notes, use cases, and blog posts. The platform provides certification training as well as podcasts.

Data Virtuality allows customers to submit requests via a contact form. The platform also provides a community forum for users to share ideas and interact with each other. Documentation is available in the form of how-to guides, a knowledge base, and a blog. Data Virtuality also has an online training service called the Data Virtuality Academy.