Conga Grid is a productivity tool within Salesforce that allows users to view, sort, and manage data batches from a single screen. It helps users to find and manage the information and insights needed with fewer clicks and less screen switching. Conga Grid helps its users to save time, improve data quality, get a clear view into needed data, and create a more productive workplace in Salesforce to drive growth across the organization. …
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Dataiku
Score 7.9 out of 10
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Dataiku is a French startup and its product, DSS, is a challenger to market incumbents and features some visual tools to assist in building workflows.
CongaGrid is well suited to any data hygiene application as you can review, filter, select and apply changes across multiple fields. It is also well suited to any process where a user wishes to view data, then take action on one or multiple records within the list. It alleviates the need to set up custom report types, as cross-object filtering and reporting can be done through CongaGrid. Anything that you might wish to do using a spreadsheet with macros & cell or row or column formatting can be done in Salesforce using CongaGrid. For simple analysis of data, Salesforce reports and dashboards are usually more effective with abilities to chart data.
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.
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.
In general, Conga is a strong company with a depth of talent in its support team. However, when new releases occur, the changes can be somewhat jarring to users as the interface does not offer the ability to hide or show messages related to the changes - all users get the same messaging from Conga around changes to their tool.
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.
I've only used Salesforce before and am now using Conga ActionGrid. Although Salesforce is great, it is only used to log candidate information and then log actions that have been performed. With Conga ActionGrid, we are able to log more specific details about candidates, activities and follow up items. Conga ActionGrid provides more tools that would benefit many departments
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.
