Conga Grid vs. Dataiku

If a user has to perform a specific update over many records, don't use a List view... use Grid. It allows users to quickly track their work, set additional formatting preferences and avoid constantly tracking work outside of Salesforce which leads data discrepencies and errors.

Incentivized

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

• A specific strength of Conga is the ability to easily produce cross-object displays where you can take information like open Opportunities and layer on information such as Activities, Orders, Opportunity Products with all related information being accessible when individual lines are selected. The reading pane functionality is a huge timesaver for reps working lists of records.
• Another strength is Conga's ability to allow mass edit/update - for example, you can have a list of leads assigned to you, check the ones you met at a conference, and update a field on their record or assign a task or do an email send right from the list. At the same time, you can select other records, and do the mass update or mass create of tasks that are relevant for them.

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

• Sometimes Conga goes slower when using it at a high volume
• Being able to pull more data through LinkedIn and Indeed
• Job match function

Incentivized

• End product deployment.

Incentivized

It could be easier to create views or there could be additional training with step by step examples in conga community

Incentivized

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

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.

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

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

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

• It has benefited us positively, as I stated earlier- it allows us to filter down results of 65,000+ candidates to a search of 1-100 candidates.

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