InetSoft Style Intelligence vs. Klipfolio Klips

It's great for the accumulation and assimilation of various data formats to be channeled into a single end-point, whether that be a table or a report. It reminds me so much of SPLUNK in that regard. The application is also very easy to use and has been configured in such a way that it is appealing and productive for both novice and expert users. I was able to pick up the basis after a solitary day's training. We've mainly used it to create bespoke dashboards and visuals, thereby allowing for effective report writing. This was a major consideration from Senior Management before the application was purchased. There haven't been any real drawbacks with the software thus far.

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• I think the user interface is in need of an upgrade, as its starting to show it's age a little. It looks like it needs a rehaul in the department.
• Hopefully, the company can grow and then have more frequent interactions with their customers.
• I am slightly wary that support may not have the same proficiency at the very highest level, as my company reaches the expert user level.

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• While Klipfolio covers so many of the bases, one area where I would like to see expansion would be offering additional design and graphics themes for even more customization.
• Klipfolio has an extensive offering but might be even better if there were a way that we could integrate with some small to mid-sized CRM solutions for audience list segmentation and marketing integrations.
• It would be interesting if Klipfolio could enable us to overlay the data learnings for cross-referencing of multiple client campaigns for comparative insights.

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None at all; just be sure of what information you will need for working.

These and many other BI tools are the most direct competitors. I only have experience with Klipfolio and Tableau. Tableau is definitely more capable, but much more difficult to learn and use. Klipfolio is simple and really packs a punch for its simplicity. I have yet to run into a major problem with it lacking a needed functionality.

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• Reduction in excessive space for data storage repositories
• Faster time to analyse data and metadata. Quicker to reach objective analysis
• Conclusive informational reporting

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