Over 200K named users with different authorization settings can work smoothly in one PROD TURBOARD installation; 800+ using TURBOARD at the same time at peak times.
Country-wide access covering many sectors with a team already answered to a torrent of user requests from the beginning.
These are also battle-proven, except for some cases of bulk usage, such as failing for 10K users.
These are also battle-proven.
Although there have been other Turkish companies who (by the time of writing this comparison) work on other BI softwares, yet there has not been any that has proven itself in battle.
First requests with minimal use case will work.
Developers may sometimes receive new requests with hesitance and dislike.
Working with limited functionality.
Known use cases sometimes work in just one root benefactor or none.
Since 2004, starting from pharmaceuticals and still providing data and BI service for 79% of large pharma), hundreds of features have been implemented.
As a mature BI software, TURBOARD is customer-oriented. New feature requests are warmly received and considered.
Those softwares also have a multitude of features (as this is a must for a successful BI).
Feature requests have a bleak success rate to be included in next versions.
Plenty of features, but many are unfashionable.
Some crucial functionalities are found sometimes buried in crowded unfriendly interfaces.
All features are subsets of requirements plus distinct developer additions.
Having new features added would require higher financial compensation to developers.
You need a good product manager to keep it tidy and that would be costly.
Its functionalities will never reach full-fledge as its budget is always limited.
Limited set of features.
They may add features you request or fix bugs you find without any service level agreement (SLA).
TURBOARD users within the same company can easily train new colleagues or those who are working with their same data. Usage spread is viral thus a clue on how easy it is to use TURBOARD.
These softwares are also appraised for ease of use.
Some are notoriously hard to use as they are crowded with functionalities.
This criterion is not applicable as these are not business intelligence tools. They need a programmer to change visualizations.
If you find a screencast and follow its path you may reach a result.
If you try to reach what you have in your mind that will be difficult or impossible.
Our team is praised for their fanatical dedicated support. Even if you don't demand it, we will be eager to help.
Different reviews can be found as some new gen are better in support than others.
It is common to be charged on hourly basis with a costly price.
You may find many professionals providing support for traditional BI as those softwares tend to create a community for service provider companies.
Support and maintenance will be costly.
Vary vastly depending on the software team and their mentality.
Prone to change dramatically if someone on the software team quits.
Zero or depends on the whims of developers.
Using docker, software can easily be installed/upgraded.
You don’t have to do anything as monthly version upgrades and tests are provided by the TURBOARD team.
No need to install any option in your personal computer. TURBOARD is compatible with server environments.
For most of them, you can download from the web and install yourself.
Upgrade may cause some problems and break some of your current dashboards. If you are not a pro, you may need to pay extra for that service.
Hard.
Even professionals will devote hours of effort to install.
You may find unknown bugs.
You may not be able to turn back to a working version.
Statistical modeling options comprise regression (both polynomial and linear), clustering (kmeans, meanshift), classification (SVM, logistic regression), network analysis (tSNE, PCA).
As an example using just TURBOARD with financial figures of companies, you may predict which will go bankrupt next year or you can optimize price or find outlying figures and patterns.
You can use the model on the whole data set, not just in sampling.
Outer software will do the work and write results to a file or database. Those results can be used in BI.
They may provide binding to programming languages like R. You will need to write R code and it will work on sampling (not on the full data with filters).
Some traditional BI tools incorporate data science abilities.
Developers can add analytical functionalities as they can change code and add libraries etc.
None. You may use other freeware for stats but those are not BI.
Our Engineering team prepares 3-year plans with the help of Gartner analysts and supported by the Scientific and Technological Research Council of Turkey.
Our current 3-year plan is an endeavor directed towards Augmented Analytics.
Our vision is to become one of the top 3 known BI in the world.
Those are also directed towards Augmented Analytics.
To keep pace with new technologies, softwares may be revamped in the near future.
Everything can be changed with the circulation of developers.
They seem to be based on community, but they are mostly depending on a few developers' efforts.
Other New Gen | Traditional | Custom Software | Freeware | ||
---|---|---|---|---|---|
Battle-Proven | 5 | 5 | 5 | 4 | 4 |
Features | 5 | 5 | 5 | 1 | 2 |
Ease of Use | 5 | 5 | 3 | 0 | 4 |
Support | 5 | 4 | 5 | 4 | 0 |
Installation/Upgrade | 4 | 5 | 3 | 4 | |
Data Science | 3 | 2 | 4 | 2 | 0 |
Product Vision | 5 | 5 | 3 | 0 | 2 |
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