IBM Cognos Dashboard Embedded vs. Mode Analytics

Appropriate to create a visualised dashboard from data. Detailed analytics features using Cognos reports. The software is capable of creating cubes and packages that can be used to extract exactly what you need to visualize in specific in your group you work for.

Incentivized

After launching a new contact pathway in a help experience, Mode Analytics can help provide insight into the sentiments from users as well as the engagement with any written content. Numeric outputs are easier to manage, whereas more nuanced/emotional feedback is sometimes hard to quantify (though not impossible if you get creative).

Incentivized

• Easy to learn and apply in real time projects.
• Multiple query can be combined to generate simple and easy to understand reports.
• Mobile access feature helps to integrate with multiple devices.

Incentivized

• Easy to use (click a button and get right to SQL).
• Security First (everything is locked down by default).
• The White Label feature is super easy to skin -- our embedded reports look just like our app!

Incentivized

• How to do guide and there is definitely more training opportunity that company can offer
• Performance improvements can make the tool more efficient
• Can be more open to accept the external files

• Date ranges aren't always the most intuitive to set, strangely
• Faster refresh rates would be ideal
• Would love more dynamic mobile device integration (alerts, etc)

Incentivized

For the advanced user already familiar with Python. It is just the same tool, already managed and connected to the data.

Incentivized

Mode has dedicated agents who are online in a chatroom, ready to take on any questions and provide helpful feedback.

Incentivized

Microsoft BI has many performance issues while working on simultaneous projects or heavy code based projects. That is not an issue with BM Cognos. Lack of some very useful features like drop /down/drag makes it very effective against Microsoft BI. Support for IBM Cognos is more promptly available as compared to Microsoft with less hoops to follow

• Tableau is a huge pain to edit or create dashboards, by comparison. It can make better looking visualizations, but in practice, letting users drill down and change dimensions slows the end user experience so much that it's often not worth it.
• Looker is amazing for data modeling, but you have to get your whole business all in on it to take advantage. Viz capabilities are similar.
• Databricks has a lot of functionality overlap, but the visualizations are terrible. Databricks' great strength is that you can use notebooks to do anything with code.

Incentivized

• Effectively solves the project blockers by mitigating the integration challanges
• Monetary impact is not negatively impacted on the projects budgets
• Great ROI and positive impact on the business because of breath of features and great dashboard features

• It has allowed us to monitor ongoing financial transactions written to our SQL data tables in real-time and that helps us to monitor user transaction activities in real-time
• Using Mode we have been able to also track users who undertake fraudulent financial transactions; preventing financial losses to our users
• Mode's collaborative abilities have been very helpful in sharing transaction monitoring workload across our compliance and cybersecurity team

Incentivized