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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Jedox
Score8.8 out of 10
N/A
Jedox is a Business Intelligence and Corporate Performance Management solution. According to the vendor, their solution’s unified planning, analysis and reporting empowers decision makers from finance, sales, purchasing and marketing. Additionally, the vendor says this solution helps business users work smarter, streamline business collaboration, and make insight-based decisions with confidence. The vendor also says 1,900 organizations in 127 countries are using Jedox for real-time planning…
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
Best suited for financial consolidation and / or as a highly customized and compact EPM / BI solution (up to 100 CCU) with individual workflows, planning and reporting functionalities, with moderate number of users (no restrictions for any industry, all industries are covered well). It also has advanced reporting & data analysis requirements and provides an integration and reporting layer of imported data from different external systems (via ETL). It can help with migrating your legacy Excel-based business models to the Web. It is not well suited for Enterprise BI applications with expecting >500 CCU (users at the same time working with the system) - this may cause serious performance issues, as all data is kept in RAM. Jedox is also less suited for applications with heavy document management requirements (document management is not an out of the box functionality in Jedox and rather requires custom development through custom widgets etc.).
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
Diversity. Jedox can be applied to many different use cases from small to large deployments and from budgeting to enterprise class BI solutions. But rarely is one tool able to fulfill all of these requirements in one organisation. This value proposition can be complicated for prospective users.
Awareness. Jedox punches above its weight in capability and scalability, but not enough people have heard about it and therefore procurement processes can be drawn out as a result.
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
To me Jedox deserves 10/10 because it is a consistent one-in-all platform with a modern look and feel. It is intuitive to use and allows you to make intuitive applications integrating traditional business intelligence with performance management functionality. It certainly has a short learning curve, especially for those that are familiar with MS Excel. An example: I've lost count but Jedox it is available in more than 25 languages. Another: Jedox does not require programming skills... it is developed to be used by the business.
Jedox has very few bugs. Reports are available through an Excel add-in, the web and/or mobile device (IOS/Android). In my opinion, availability also means high performance, not having to wait for the system to give you the required reports, analysis, dashboards instantly.
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
Jedox support in general is a professional and fast responding team. An easy-to-use ticketing system is in place. Bug-related questions are solved fast (responses come usually in a few hours after the question), but some questions / tickets, that are not Jedox-related bugs (for example some advanced questions about Jedox functionality), may be forwarded to Application Management team for further processing and then it may take several days or even weeks to get a response here -> there is room for improvement here.
The implementation of SSO, SAML Authentication, HTTPS, Server splitting (Frontend / Backend servers) could be more standardized and made more user friendly to set up (e.g. via setup guide). Otherwise the implementation of Jedox is quick and simple when compared to other similar technologies.
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
Calumo is similar product to Jedox. I have used it extensively in my previous role. It was a major contender when we evaluated a BI platform for NIDA. Calumo is a great product as well and it was a very close call. Where we found Jedox to be a better fit for NIDA was the ability to prepare dynamic reports with ease without the need to learn MDX which was used extensively by Calumo to make dynamic reports which expand or shrink based on the underlying data. Another major benefit we saw in Jedox was the whole ETL process could be managed within Jedox instead of doing it in SQL server which negates having a dedicated SQL specialist role when the scale expands.
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
Scalability is often another word for speed. Given enough data, enough users or enough calculations, the tool becomes slower and slower. You will find that Jedox has a very high performance that can even be increased by the use of grafical cards. Other thaen that it does not only offer BI (looking back based on historical ERP data) but also allows you to look forward through integrated budgetting, planning, forecasting, workflow and collaboration. Not easy to find a tool that can support so much business functionality. So, also pretty scalable in that respect.
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
Financial budgeting and Forecasting are done in a centralized fashion in Jedox now instead of a decentralized excel based approach. A lot of cost savings and improved reliability
Easy to use self-help Dashboards and detailed reports
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
