Dataiku DSS vs. NICE Nexidia Predictive Behavioral Routing

Dataiku DSS is very well suited to handle large datasets and projects which requires a huge team to deliver results. This allows users to collaborate with each other while working on individual tasks. The workflow is easily streamlined and every action is backed up, allowing users to revert to specific tasks whenever required. While Dataiku DSS works seamlessly with all types of projects dealing with structured datasets, I haven't come across projects using Dataiku dealing with images/audio signals. But a workaround would be to store the images as vectors and perform the necessary tasks.

Incentivized

Mattersight Predictive Behavioral Routing (PBR) would be very well suited for larger call/contact center environments. The overall benefit grows when there are many agents that handle similar call types. Additionally, the PBR database continues to grow. However, depending on the organization, getting the most of the benefits from the system requires the database to have phone numbers that are likely to call in to the center. Therefore, it would be beneficial for them to collect the calls that are being received so the phone numbers of future calls are in the database.

Incentivized

• The intuitiveness of this tool is very good.
• Click or Code - If you are a coder, you can code. If you are a manager, you can wrangle with data with visuals
• The way you can control things, the set of APIs gives a lot of flexibility to a developer.

Incentivized

• Routes callers to agents who have best fit for their personality (thereby increasing revenue and revenue retained).
• Contains governors to minimize the impact on agents and customers during busy periods.
• Ease of integration into our existing infrastructure.
• Sales/support teams from Mattersight are fantastic.

Incentivized

• End product deployment.

Incentivized

• ISG could use more in depth reporting that is available on demand.

As I have described earlier, the intuitiveness of this tool makes it great as well as the variety of users that can use this tool. Also, the plugins available in their repository provide solutions to various data science problems.

Incentivized

The support team is very helpful, and even when we discover the missing features, after providing enough rational reasons and requirements, they put into it their development pipeline for the future release.

Incentivized

Strictly for Data Science operations, Anaconda can be considered as a subset of Dataiku DSS. While Anaconda supports Python and R programming languages, Dataiku also provides this facility, but also provides GUI to creates models with just a click of a button. This provides the flexibility to users who do not wish to alter the model hyperparameters in greater depths. Writing codes to extract meaningful data is time consuming compared to Dataiku's ability to perform feature engineering and data transformation through click of a button.

Incentivized

The sales team was knowledgeable; easy to work with; their list of clients was impressive, and the cost was right. The free trial was essential to us testing the product.

Incentivized

• Given its open source status, only cost is the learning curve, which is minimal compared to time savings for data exploration.
• Platform also ease tracking of data processing workflow, unlike Excel.
• Build-in data visualizations covers many use cases with minimal customization; time saver.

Incentivized

• Positive ROI
• Still assessing customer satisfaction
• Still assessing employee satisfaction