The DataRobot AI Platform is presented as a solution that accelerates and democratizes data science by automating the end-to-end journey from data to value and allows users to deploy AI applications at scale. DataRobot provides a centrally governed platform that gives users AI to drive business outcomes, that is available on the user's cloud platform-of-choice, on-premise, or as a fully-managed service. The solutions include tools providing data preparation enabling users to explore and…
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Oracle CPQ
Score5.5 out of 10
N/A
Oracle CPQ is a cloud-based application that helps sellers configure the right mix of products or services and create accurate, professional quotes to quickly meet their customers’ pricing needs.
DataRobot can be used for risk assessment, such as predicting the likelihood of loan default. It can handle both classification and regression tasks effectively. It relies on historical data for model training. If you have limited historical data or the data quality is poor, it may not be the best choice as it requires a sufficient amount of high-quality data for accurate model building.
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 think CPQ had worked so well for our company because of the widespread nature of our associates and tracking orders that were being placed in multiple time zones. My team specifically needed a way of analyzing these orders to track our progress in real time and sort out any supply orders before they became an issue. If you are in a centralized location with a smaller team then this may not yield much use to you.
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
DataRobot helps, with algorithms, to analyze and decipher numerous machine-learning techniques in order to provide models to assist in company-wide decision making.
Our DataRobot program puts on an "even playing field" the strength of auto-machine learning and allows us to make decisions in an extremely timely manner. The speed is consistent without being offset by errors or false-negatives.
It encompasses many desired techniques that help companies in general, to reconfigure in to artificial intelligence driven firms, with little to no inconvenience.
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
The platform itself is very complicated. It probably can't function well without being complicated, but there is a big training curve to get over before you can effectively use it. Even I'm not sure if I'm effectively using it now.
The suggested model DataRobot deploys often not the best model for our purposes. We've had to do a lot of testing to make sure what model is the best. For regressive models, DataRobot does give you a MASE score but, for some reason, often doesn't suggest the best MASE score model.
The software will give you errors if output files are not entered correctly but will not exactly tell you how to fix them. Perhaps that is complicated, but being able to download a template with your data for an output file in the correct format would be nice.
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
Significant setup time, cost, and maintenance. We have to use an implementation partner
Does not always play well with other software, even Oracle software. While this is improved and being further improved, that it was a third party acquisition means things sometimes require a little extra care
Additional setup documentation and first walkthroughs would be helpful, especially if it was all in one place
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
DataRobot presents a machine-learning platform designed by data scientists from an array of backgrounds, to construct and develop precise predictive modeling in a fraction of the time previously taken. The tech invloved addresses the critical shortage of data scientists by changing the speed and economics of predictive analytics. DataRobot utilizes parallel processing to evaluate models in R, Python, Spark MLlib, H2O and other open source databases. It searches for possible permutations and algorithms, features, transformation, processes, steps and tuning to yield the best models for the dataset and predictive goal.
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
So far it is all good with BigMachines, looking for new features since Oracle acquisition has created a lot of expectations. We have outlined our limitations (out of box functionality) in our periodic customer successor advice meetings for a while, hope we get a resolution soon. Also, the BigMachines user license fee has increased a lot in the last three years.
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 software UI can be as complex or as simple as you need it to be (depending on the business). It does require training others on quote configuration and the order in which to build out order positions prior to configuring a quote. Once users are trained;however, it is fairly straight-forward. The UI is still more static than other new wizard/drag-and-drop models, but it get's the job done
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
It depends upon the day however there are so many failure points with online services, including our internet service, that this is probably closer to 9 with the latest version
As I am writing this report I am participating with Datarobot Engineers in an complex environment and we have their whole support. We are in Mexico and is not common to have this commitment from companies without expensive contract services. Installing is on premise and the client does not want us to take control and they, the client, is also limited because of internal IT regulations ,,, soo we are just doing magic and everybody is committed.
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 specific support personal was good and fixed some problems fast using proper solutions. But when one of them went to sleep when we had critical issues and they do unreported commits to our production environment which caused issues and they were hiding it?? you can not give more than a two (maybe even that is too much). They also failed to add a feature for us which also bring the grade down.
They have pretty good training. Our business analysts have been able to go to entry and advanced level training. They have a train the trainer model. Our business analyst attended training, then trained the rest of our staff.
It was a much more technical implementation than we thought. It involved much more code.
Future releases have made and will make administering the tool easier.
EDL consulting had one good developer, but when he was moved off, they were horrible to work with.
The BMI sales team does a “BOA” or a “Business Operation Assessment” which is extremely valuable, not only for them to scope an implementation and get more reach within the organization, but it is also a documentation of business process that most organizations don’t have. It highlights inefficiencies and allows for correction during implementation.
Having a dedicated team (in-house) for implementation is key
I've done machine learning through python before, however having to code and test each model individually was very time consuming and required a lot of expertise. The data Robot approach, is an excellent way of getting to a well placed starting point. You can then pick up the model from there and fine tune further if you need.
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
Oracle engagement is ahead. They are active in the development of the tool and provide great support after implementation. They also listen to their customers and offer opportunities to feedback and provide input through activities like the customer advisory board forum.
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
Increased Sales Rep efficiency. Being able to create multiple quotes ACCURATELY and quickly was a game changer.
Large implementation time. It's a little difficult to fit BMI into a SCRUM style build, with multiple working models and prototypes of all 3 simultaneously.
A larger fee for licensing and implementation cost. ROI wouldn't be realized in the first year.
