Adverity is a fully-integrated data platform for automating the connectivity, transformation, governance & utilization of data at scale.
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Informatica Intelligent Data Management Cloud
Score 7.0 out of 10
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The Informatica® Intelligent Data Management Cloud™ (IDMC) is designed to help businesses efficiently handle the complex challenges of dispersed and fragmented data to innovate with their data on virtually any platform, any cloud, multi-cloud and multi-hybrid.
If you're a marketing organization that wants to own your data architecture, get away from hours of manual excel work, and build a flexible and scalable BI practice for yourself and your clients, Adverity is your solution. Especially if you don't have a dedicated analytics team or current database solution. If you have access to a wide variety of API's and a fully staffed team to custom develop new connectors in under 30 days for no incremental cost, you're probably best in-housing
Informatica Cloud is an excellent tool for freeing up trapped data in your internal systems and exporting it into a cloud data warehouse or SQL container. Especially if you have any internal SQL query generators that allow you to copy and paste into the Source setup. For example, we use Business Objects internally, and you can build out the query you need inside the firewall with that, then paste it into the query within Informatica Cloud while establishing the Source connection. This way you are not writing all your source parameters by hand, cutting new jobs setup time by 50%. Where Cloud will not suit you well is if you need significant visibility to the health of the system from a tracking, monitoring or error handling standpoint. Cloud will tell you it failed, maybe give you an example error, but has no further troubleshooting or diagnostic assistance to offer.
Informatica Cloud is a great tool for automating data imports. Raw data files can be scheduled to run at designated times, and using pre-built mappings ensures that the data goes into the system accurately each time.
It is also a great tool for converting raw data into specific formatting. For example, configuring the mapping so that the first letter of a first, middle or last name is always capitalized.
Additionally, Informatica Cloud has a built-in field-matching tool so that records that already exist are updated rather than having duplicates created.
I think it would have been more user friendly if there was more labelling capabilities, so that when you are sharing the dashboard they would explain what the data is - rather than depending on someone knowing how to use the dashboards or being there to explain it.
Our teams found that some of the scheduling functionality could be a little big buggy, so this was something that needed extra care and attention, so therefore may be an area that needs to be improved (unless it was just our account and usage).
I've never had trouble getting into contact with Informatica's support for technical help. I give it a nine because it does pretty well for mid to enterprise-scale workflows.
Previously I had never really used a tool like this, only using software such as GA to look at any insights and review performance. So I think that the combined view of having all of the data sets (Which in my role I wouldn't always particularly have access to), was really useful. As an individual who was optimising our clients websites it meant that I was really able to prioritise what was important, but also have a great view of absolutely all activity that was happening
Having used SQL Server Integration Services (SSIS) in the past, Informatica Cloud was a huge-step up in functionality, usability and performance. Hands-down, Informatica Cloud is a much more robust product overall. While SSIS is well-suited for specific instances (i.e. SQL Server-specific implementations), Informatica Cloud is a much better product as an overall integration/transformation tool.
This tool has allowed us to be able to see areas for opportunities, when all of the data has been combined
We were also able to better prioritise actions and where to focus our attention, when we had one view where all of the data was together. This allowed us to deliver better results for our clients, and also have a clearer roadmap of activity
Getting data out of various systems such as Salesforce.com or FTP and consolidating it into tables in one central database.
Having the ability to run data transformation tasks (the equivalent of batch jobs in SF or stored procedures in SQL) on a schedule without consuming those resources on the target or source systems.
