IBM InfoSphere Information Server vs. Persana AI

Information Server is extremely useful to replace manual developments that require a lot of coding effort. It significantly increases the productivity of the initial development and the future maintenance of the processes since it has a visual development environment with self-documentation.

We find Persana AI effective for outreach. One of the benefits is the speed with which we can now launch campaigns. Earlier, preparing prospect lists, enriching data, and gathering context used to take time. With Persana AI, this process has become faster for sure. Building the audience campaigns have also became quite easier for us. The tool isn’t really built for ROI calculation, and that’s something we’ve noticed in our usage.

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• IIS best for ETL ,not ELT , and many and diffrent source systems.
• It also can process big data , unstuctured data
• It is not only DWH , you can use infosphere for analys and see the bigger architecture of your OLTP systems

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• They have accurate lead enrichment. This reduces manual research and saves time.
• The insights they provide are quite helpful while reaching out. This has helped us a lot in response rate
• Seamless CRM integration.
• Segmentation and targeting have also become much easier.

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• I would be nice to have a new web development environment for DataStage.
• Connectivity Packs such as Pack for SAP Application are a little pricey.
• It is confusing for new developers the possibility of developing jobs using different execution engines such as Parallel or Server.

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• Some niche industries and regional markets are not covered.
• UI could be more better. We find a bit difficult in filtering large datasets.
• AI generated suggestions can be better. We find them quite generic. They can be more engaging and energetic.

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• Scale of implementation
• IBM techsupport

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Some features, like filtering and finding leads, are pretty simple, but others take a bit of time to figure out. For someone new, the UI can feel a little overwhelming at first. Once you spend some time with it, it gets smoother, but it’s not as easy or intuitive as it could be.

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DataStage is more robust and stable than ODI The ability to perform complex transformations or implement business rules is much more developed in DS

Both the tools offer similar features for things like data enrichment and prospecting. But the main reason to go with Persana AI was cost. Even though Clay is also a strong tool, Persana AI gave us a good balance of functionality and price, so we decided to go with it.

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• Productivity of the development of integration processes.
• Better documentation and governance.
• Reduce training costs of various technologies.

• Positive Impact - Speed and efficiency on the revenue generation teams
• Higher response rate due to personalisation

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info