IBM Maximo Real Estate and Facilities (formerly Tririga) is an integrated workplace management system (IWMS) supporting facilities management, real estate portfolio management, space management, and environmental / energy management.
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MutualMind (discontinued)
Score5.6 out of 10
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MutualMind was an enterprise listening platform with engagement and publishing features and analytics, that is now discontinued after the company's acquisition in 2016.
It is great for organizations who have complex data or large amounts of data. For an organization that has small amounts of data or very simple processes TRIRIGA might be too much. It can handle small data and processes but the costs of implementing and supporting might be greater than the reward that would be provided. It also has a lot of room to grow. You can utilize existing forms and business objects or you can custom build new ones to fit business needs.
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
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
MutualMind gives us a view into the reach of social content we produce on behalf of our advertisers and the engagement that content generates with shoppers.
In order to get into the back end and manage spaces, there are too many "clicks" and pop up boxes to get to the area that is needed, which causes delays and confusions.
It can be a bit slow when processing requests, pulling up maps.
Trigia holds a lot of information, which is good but it could be easier to get to at times.
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
MutualMind gauges sentiment around social conversations but does so with the standard margin of error found in most social analytics products. The nature of human conversation makes it difficult for a machine to categorize sentiment with 100% accuracy. MutualMind gets sentiment right between 50% to 70% which is within acceptable industry averages for this type of product. With additional tuning (which MutualMind provides) the accuracy levels will increase.
I give it this rating because it has more than one way to get to most forms but it can be hard to navigate if you don't know the terms TRIRIGA uses. Also being a new developer can bring up issues with not knowing exactly where certain things are found. The documentation doesn't help too much sometimes since the TRIRIGA community is pretty small.
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
As a company that's only 3 years old, MutualMind's toolset is quite usable but it could use some tweaks in the user interface, which they are constantly working on.
In the almost 7 months I have been working on my current project there has been exactly one unplanned outage. This was in the QA environment during data migration and was caused by a workflow that was circular and self referencing which caused the processing JAVA memory to spike, not resolve and then crash the server.
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
During a recent upgrade period, MutualMind had a small window of unavailability. I am confident they have addressed the root cause and do not foresee any future issues.
TRIRIGA does a good job of this, being a server based web application it is like other web based systems so it's not as fast as a client server application or a local system but it is very consistent across locations and for different roles and employees. This does allow consistent use no matter where people are located. It also does a fair job of notifying the user when it is loading with the spinning circle or hour glass. The reports can get fairly complex but native TRIRIGA reports perform well even when they are complex. They can be a little slow if they are fetching 100's of 1000's of rows but this doesn't take more than 10 or so seconds. I have yet to write a native report that takes more than 20 seconds and that 20 second report is getting data from 4 BO's and nets over 130K rows.
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
The product's performance has improved greatly in the last year and we anticipate seeing additional improvements in coming months based no planned infrastructure changes.
The process does seem to take some time and has to go through a preset escalation process. IBM does a good job of communicating through the process, it just seems to take it's natural course.
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
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
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
TRIRIGA can be split into many servers and is easily scaled over multiple environments. TRIRIGA is also capable of being implemented on multiple operating systems and a wide range of environments with different database management systems. This makes it easy for clients to choose since they can choose vendors they have previous relationships with or are required to use for various reasons.
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
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
By showing increases in engagement and share of voice (defined as the amount of content generated for our advertisers versus the amount of content generated for their competitors over time) we are able to correlate content to incremental sales data provided by our advertisers.
