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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IBM Analytics Engine
Score 8.5 out of 10
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IBM BigInsights is an analytics and data visualization tool leveraging hadoop.
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Pricing
Conga Grid
IBM Analytics Engine
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Conga Grid
IBM Analytics Engine
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Conga Grid
IBM Analytics Engine
Features
Conga Grid
IBM Analytics Engine
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Conga Grid
7.0
3 Ratings
11% below category average
IBM Analytics Engine
-
Ratings
Report sharing and collaboration
7.03 Ratings
00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
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.
Well suited for my big data related project or a static data set analysis especially for uploading huge dataset to the cluster.
But had some issues with connecting IoT real-time data and feeding to Power BI. It might be my understanding please take it as a mere comment rather than a suggestion.
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.
Easier pricing and plug-and-play like you see with AWS and Azure, it would be nice from a budgeting and billing standpoint, as well as better support for the administration.
Bundling of the Cloud Object Storage should be included with the Analytics Engine.
The inability to add your own Hadoop stack components has made some transfers a little more complex.
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.
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
We initially wanted to go with Google BigQuery, mainly for the name recognition. However, the pricing and support structure led us to seek alternatives, which pointed us to IBM. Apache Spark was also in the running, but here IBM's domination in the industry made the choice a no-brainer. As previously stated, the support received was not quite what we expected, but was adequate.
This product has allowed us to gather analytics data across multiple platforms so we can view and analyze the data from different workflows, all in one place.
IBM Analytics has allowed us to scale on demand which allows us to capture more and more data, thus increasing our ROI.
The convenience of the ability to access and administer the product via multiple interfaces has allowed our administrators to ensure that the application is making a positive ROI for our business users and partners.
