Databox vs. Oracle Observability and Management

I believe Databox can be an asset for any company. We are a small company, but I can see the value for large companies too. Databox is a great fit for departments or organizations that need to put their data into a readable form without needing a ton of reports. Databox allows you to save time and put together a nice report without having to do too much extra work. Once it is set up, it basically runs on its own at the frequency you set. I personally receive a daily report and have it sent to the respective people on the day of our meeting so we can quickly review it.

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Ideal for a complex organization with requirements to build very complex reports. Especially useful for organizations that already have numerous Oracle products and need to pull information from them. This tool works best when plugged in with other Oracle tools and databases. If you're a larger company, and/or if you're managing a lot of data, Oracle IT Analytics Cloud Service is the perfect tool to manage your Oracle deployment. It provides a number of different options for intelligent analysis while not being too overwhelming to manage. Companies that want a robust tool to manage all data and present it in a visually appealing way to users will greatly benefit from this tool. The tool is very customizable and can be tailored to meet the needs of different users.

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• Create dashboards from a variety of data sources.
• Set & track goals based on the data and metrics provided.
• Send alerts and scorecard updates to Slack and email automatically.

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• It helps in the detection and elimination of security threats.
• It enables us to detect and resolve IT issues before they impact the end users.
• It provides automatic diagnostics.
• It improves the efficiency of operations and productivity.

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• Some types of data can only be reported on for 1-2 months back. Unless I'm misunderstanding the function of the software this seems really weird. I can't figure out how to report on Activities more than 2 months ago

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• There's a pretty steep learning curve that needs to be overcome in order to properly deploy this tool. So, unless you're a seasoned IT administrator, you may have a fair amount of homework to do. Implementation and maintenance of this takes a bucket of consulting hours from outside consultants to come in and set up the tool and regularly maintain it, in the long run, this could be costly.
• The dashboard is not as easy to set up as I would like, however, after setup it will serve your purpose in the best possible way. You may not be able to find out how some data related to another and you can create a report that you think has all the details you need, but it comes up blank because the data really is not connected.
• There aren't enough self-learning materials available like tutorials and how-to videos. I would like to have access to more e-tutorials from inside the tool. A steep learning curve for most. It would be nice to have a robust learning portal within the application where users can access self-learning material directly from the application and step to spet guides on how to perform different tasks.
• Does not provide the ease of adding additional data sources without lots of complications. Even though it can handle large data sets, rendering of reports can take a fairly long time if the parameter set is large. For some time it seems like processing takes a bit of time when large data sets are being used. This is not the case with other competing tools.

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Databox is an intuitive, well-designed platform that can be used by non-technical marketers. It is easy to learn, and while set up takes time, usability is high and the team has enjoyed creating custom dashboards and clients have also given us great feedback regarding its usability and value. While other BI tools are much more complex to navigate, Databox is a breeze.

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Oracle Observability and Management is a valuable tool for monitoring, troubleshooting, and capacity planning

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I have really enjoyed using Databox and have seen the value of it in many ways. They also continue to improve the functions of it and grow their integrations and templates. I look forward to continuing to use Databox in the future, potentially even finding ways to incorporate it into other departments to help them with reporting as well.

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The product management team is very responsive. They are on LinkedIn and Twitter, responding to your questions and offering ideas. I have not opened an Oracle support ticket for this product yet

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Databox is unique in its ability to report from multiple data sources. Google Analytics is the standard when it comes to web metrics, but it's just one of the tools that integrates with Databox. Tableau is fantastic for data visualizations and reporting, but it's much more expensive than Databox, so it's not ideal for everyone. Tableau is also superior with customization

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Oracle Analytics Cloud is an enterprise solution and can't be compared apple-to-apple with a data visualization tool like Tableau. This is not the same use at all. Before selecting Oracle Analytics Cloud, it is most important to consider the data you are looking to collect and how you plan to visualize it. Other tools like Tableau and microstrategy feel smoother to work with, have better UI's and are quicker when processing data. It is also important to think through how you will use the data across your organizations. Can have a steep learning curve but once you are well trained on this tool, the possibilities are endless. The tool is highly customizable and will generate what you design it to generate. If you are having issues with reports and analytics, it is most likely due to data quality issues. Oracle Analytics Cloud also benefits by adding Essbase in it, to perform multi-dimensional analytics.

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• It has helped us to show our value to clients
• Easily digestible dashboards make it easy to understand what you're looking at

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Independently Invited by TrustRadius

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• Reduced security threats.
• Saves time taken in fixing issues.

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Invited by TrustRadius (TR) on Vendor's Behalf

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. TR verified that a representative sample of customers was invited. More Info