The ability to create a matrix/column/field/calculatedFormulae that you can use in the entire Microstrategy without any fuss.
As a frequent user, you need to create many calendar funtion in the Informatica that is required in almost every dashboard/report. So, it just need to create it one time only and use it everytime everywhere. This particular thing is not possbile in PowerBI/Altreyx/Tableu.
Also, if the connnection is SQL then Informatica works like beauty.
What do you dislike about the product?
Sometime, you need to do a double shift while creating the data set and it's connection and it's getting saved. I have raised this with Informatica Product developement team and showed them the issue in real time. They have accepted the issue but still not figured out the solution(last I have faced this in June 2022).
Hope, they will update/fix in next update.
What problems is the product solving and how is that benefiting you?
To work on raw big data to be systematically discovered, blended, cleansed, and transformed so it can be pushed further for processing in an effortless manner. It will further taken by DataOps team to work and make their life easier.
The best part is they explore, combine, clean, enrich and transform raw data into curated data sets and how easy it is to transform multiple datasets into one, easy-to-read format.
What do you dislike about the product?
I've used the tool twice to help companies discover their datasets without guessing. There is not much to dislike from the two times I used the device. Cloud adoption is slow, and the cost could be better.
What problems is the product solving and how is that benefiting you?
The problems Informatica Enterprise Data Preparation is solving, how fast it discovers your datasets, and how easy it is to take the results back to upper management to collaborate on.
Enhance The overall Quality Of Your Data Using Informatica Enterprise Data Preparation
What do you like best about the product?
It supports a wide variety of connectivity options and different data sources - It can be used to extract rich, useful insights from the data that comes from various sources - Informatica offers very speedy help for any queries and they have a strong customer support team for this product
What do you dislike about the product?
It is quite complex to configure and install this product - This product has a dependency on other third-party products to give you optimum results - Cost of this product is expensive
What problems is the product solving and how is that benefiting you?
Informatica Enterprise Data Preparation helps you in the overall decision making as it allows you to prepare the data that can give you various deep and useful insights. It is easy to use and supports connectivity with a wide variety of different data sources. The customer support team for this product is quite helpful and resolves the queries in very little time
Leveraging Machine Learning for the preparation of Data and also for cataloguing. A valuable tool for data engineers to collaborate with others, sharing the workspace.
What do you dislike about the product?
It is not easily synching with cloud platforms ( the cloud adoption is still not matured here ). The solution is hard to set up, and its interface is not user-friendly.
What problems is the product solving and how is that benefiting you?
Domain discovery and data profiling features are the best. Since we are working with varied sources, now this tool can capture the metadata from these diverse sources very quickly and finally, after that moving to the central repository
How easy it is to transform multiple datasets into one, easy to read format.
What do you dislike about the product?
I've used the tool twice to help companies discover their datasets without guessing. From the two times I used the tool, there is not much to dislike.
What problems is the product solving and how is that benefiting you?
The problems Informatica Enterprise Data Preparation is solving and how fast it discovers your datasets and how easy to take the results back to upper management to collaborate on.