Ideagen's Enterprise Risk Management (ERM) software solution (formerly known as Pentana Risk) fully integrates risk management processes, from identifying and assessing risk business-wide, to assigning and monitoring mitigation plans, all the way through to reporting and defining a long-term strategy for enhanced performance.
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MongoDB
Score8.8 out of 10
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MongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster.
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Ideagen Risk Management
MongoDB
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Ideagen Risk Management
MongoDB
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Yes
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Fully managed, global cloud database on AWS, Azure, and GCP
Pentana is great for monitoring PIs and risks. We find it less helpful for monitoring projects (with the Actions module); it isn't quite flexible enough for our needs, though the support team have been very helpful in adding custom fields for us.
If asked by a colleague I would highly recommend MongoDB. MongoDB provides incredible flexibility and is quick and easy to set up. It also provides extensive documentation which is very useful for someone new to the tool. Though I've used it for years and still referenced the docs often. From my experience and the use cases I've worked on, I'd suggest using it anywhere that needs a fast, efficient storage space for non-relational data. If a relational database is needed then another tool would be more apt.
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
Pentana is excellent for monitoring, recording and reporting on PIs. Very easy to use the PI module.
Pentana is excellent for monitoring risks at various levels (service, strategic etc.). Risks are displayed very clearly in a tree structure and the module is relatively easy to use.
Being a JSON language optimizes the response time of a query, you can directly build a query logic from the same service
You can install a local, database-based environment rather than the non-relational real-time bases such a firebase does not allow, the local environment is paramount since you can work without relying on the internet.
Forming collections in Mango is relatively simple, you do not need to know of query to work with it, since it has a simple graphic environment that allows you to manage databases for those who are not experts in console management.
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
Pentana could improve the free Documents module that comes with Pentana Risk. At the moment documents have to be linked to an action in order to display query results (such as how many documents are due for review) - this can be confusing for users who don't understand why there is an action linked. There is also no easy way for users to see the documents that are assigned to them.
We would like to use the Actions module fully in order to monitor our corporate projects, but it a bit confusing for users and not very flexible when a project doesn't mirror Pentana's way of monitoring actions.
An aggregate pipeline can be a bit overwhelming as a newcomer.
There's still no real concept of joins with references/foreign keys, although the aggregate framework has a feature that is close.
Database management/dev ops can still be time-consuming if rolling your own deployments. (Thankfully there are plenty of providers like Compose or even MongoDB's own Atlas that helps take care of the nitty-gritty.
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
I am looking forward to increasing our SaaS subscriptions such that I get to experience global replica sets, working in reads from secondaries, and what not. Can't wait to be able to exploit some of the power that the "Big Boys" use MongoDB for.
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
Some modules are more user-friendly than others. It's sometimes not obvious where to click to update the fields (or even that field titles can be clicked on). We have written 'Howdys' to help users. There can also seem to be a lot of steps/clicks to updating risks and actions. The Reports module on Pentana classic is certainly not user-friendly, particularly the Report Layout and Charts modules - we were told these would be integrated into the web version but this hasn't happened yet.
NoSQL database systems such as MongoDB lack graphical interfaces by default and therefore to improve usability it is necessary to install third-party applications to see more visually the schemas and stored documents. In addition, these tools also allow us to visualize the commands to be executed for each operation.
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
Finding support from local companies can be difficult. There were times when the local company could not find a solution and we reached a solution by getting support globally. If a good local company is found, it will overcome all your problems with its global support.
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
While the setup and configuration of MongoDB is pretty straight forward, having a vendor that performs automatic backups and scales the cluster automatically is very convenient. If you do not have a system administrator or DBA familiar with MongoDB on hand, it's a very good idea to use a 3rd party vendor that specializes in MongoDB hosting. The value is very well worth it over hosting it yourself since the cost is often reasonable among providers.
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
We selected Pentana because our neighbouring authorities are users and had spoken highly of the product and given us demonstrations; some of our staff were also familiar with Pentana when it was called Covalent. It seemed to be the best product on the market for monitoring risks, PIs and projects.
We have [measured] the speed in reading/write operations in high load and finally select the winner = MongoDBWe have [not] too much data but in case there will be 10 [times] more we need Cassandra. Cassandra's storage engine provides constant-time writes no matter how big your data set grows. For analytics, MongoDB provides a custom map/reduce implementation; Cassandra provides native Hadoop support.
Pentana Risk has allowed my team to focus on other areas of work whereas before we would be manually chasing for updates on PIs and risk. Pentana Risk does the chasing for us!
We are able to produce reports for audit purposes very easily, rather than sending spreadsheets which is what we used to do.
New managers can easily inherit risks, projects and PIs and see all of this on a custom portal, saving them time when they start.
Open Source w/ reasonable support costs have a direct, positive impact on the ROI (we moved away from large, monolithic, locked in licensing models)
You do have to balance the necessary level of HA & DR with the number of servers required to scale up and scale out. Servers cost money - so DR & HR doesn't come for free (even though it's built into the architecture of MongoDB
