Euna Budget vs. IBM Planning Analytics

Citizen engagement would be the area where it could be best suited. I don't really see it outside of the public sector but we use it to interact with our clients in the public sector. It helps to be able to show the transparency of engagement of citizens to communicate best with local government agencies.

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Very powerful modeling capabilities. It has a really good OLAP engine memory. Strong scenario planning for what if analysis. Flexibility of integration with ERPs or WM systems for both cloud and on premises. Centralized planning and alignment of governance is also a plus. Having one single system for many different functions.

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• Charts
• Mobility
• Interactive

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• Handle very large data volumes.
• Scale to a large number of users.
• Not having to compromise on business complexity.
• It can be run by business users.
• Availability of highly qualified consultants to support businesses.
• REST API allows for an open eco system and a variety of solutions to extend the product.
• Vast integration possibilities.
• AI-infused engine with IBM Watson.

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• The search feature could be easier.
• Integration into other tools.
• The guided tours could be more helpful. If I'm nitpicking at this point.

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• sometimes it is hard to produce pixel perfect reports from the Web UI. I know it is not made for this, but still, it'll be great
• getting in e.g. an Excel file just by drag and drop, and the AI should "understand" what the data is all around

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Since IBM Cognos Express is suitable only for medium data warehouse environment, we are not sure if this tool solves the long term need as the business keeps growing rapidly. So its a 50/50 ratio to renew Express license. But having said that, the components of IBM Cognos Express are also available in other Cognos BI suites like Cognos 10.x version. So we will probably upgrade our environment to IBM Cognos 10.x which comes with more new features.

It's very easy to use and intuitive enough that you can guide yourself through even if you do not have IT on staff to assist you. It's easy to set up and get going in minutes. All you have in front of you to analyze data and present. It's helpful for the customer too.

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IBM Planning Analytics is generally good in terms of functionalities. It can be used reduce time for budget planning, resource planning, demand forecasting, etc. The performance of IBM Planning Analytics is acceptable, but user interface can be improved. It would be good to see new features that allow users to customise the dashboard.

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I haven't had to deal with support much because it's such an easy-to-use product but when I have, they have been very easy to talk to, engage, and resolve our needs quickly. The challenges we had were met over the phone as they walked us through the system.

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IBM support has been very quick to respond and handle the very few issues we've had. We've had a third-party who partners with IBM to be our consulting team which has helped greatly reduce the need for us to contact IBM directly. I highly recommend researching and selecting a well-respected partner to help with an implementation as well as ongoing support as needed.

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It stacked up very well. We evaluate at least 3 companies before making software decisions and this one was a clear contender. The map visualization and pop ups are wonderful to be able to visually see what you are discussing in person. These are qualities the rest do not have.

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As it is related to MS Excel, IBM Planning Analytics is a much more robust and complete solution for the CFO or COO in mind. Oracle Hyperion stacks up nicely against IBM Planning Analytics. However, IBM's investment in AI allows Planning Analytics users more options and speed.

• ROI
• Transparency
• Purpose

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• Automate direct data connections to multiple data sources
• One secured version of the the truth (for data and formulas)
• Ability to scale to much more detailed planning with option to create predictive forecasts at detail
• Business user friendly with powerful Excel integration
• Very flexible and powerful modeling, can handle custom modeling needs at scale
• Can make the same data available across finance and ops, but at the level of details and timeline that makes sense for them

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