Clari is a predictive sales analytics and sales forecasting solution from the company of the same name headquartered in Sunnyvale.
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Spotfire
Score 8.2 out of 10
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Spotfire, formerly known as TIBCO Spotfire, is a visual data science platform that combines visual analytics, data science, and data wrangling, so users can analyze data at-rest and at-scale to solve complex industry-specific problems.
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Pricing
Clari
Spotfire
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Clari
Spotfire
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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For Enterprise engagements, contact Spotfire directly for a custom price quote.
More Pricing Information
Community Pulse
Clari
Spotfire
Features
Clari
Spotfire
Sales Forecasting Features
Comparison of Sales Forecasting Features features of Product A and Product B
Clari
8.2
11 Ratings
5% above category average
Spotfire
-
Ratings
Sales Benchmarking
7.48 Ratings
00 Ratings
Quick Dashboard/Forecast
8.810 Ratings
00 Ratings
Sales Visuals
8.510 Ratings
00 Ratings
Sales Forecast Templates
8.210 Ratings
00 Ratings
Sales Forecasting Factors
8.210 Ratings
00 Ratings
Sales Forecast Review
8.510 Ratings
00 Ratings
Sales Forecasting Management
8.610 Ratings
00 Ratings
Custom Forecast Models
7.810 Ratings
00 Ratings
Record of Previous Sales Forecasts
8.210 Ratings
00 Ratings
Sales Forecast Collaboration:
8.610 Ratings
00 Ratings
CRM Data Import
7.811 Ratings
00 Ratings
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Clari
-
Ratings
Spotfire
7.2
8 Ratings
15% below category average
Connect to Multiple Data Sources
00 Ratings
7.88 Ratings
Extend Existing Data Sources
00 Ratings
7.48 Ratings
Automatic Data Format Detection
00 Ratings
7.88 Ratings
MDM Integration
00 Ratings
6.05 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Clari
-
Ratings
Spotfire
9.1
8 Ratings
7% above category average
Visualization
00 Ratings
9.08 Ratings
Interactive Data Analysis
00 Ratings
9.28 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Clari
-
Ratings
Spotfire
7.4
8 Ratings
10% below category average
Interactive Data Cleaning and Enrichment
00 Ratings
7.28 Ratings
Data Transformations
00 Ratings
8.08 Ratings
Data Encryption
00 Ratings
7.05 Ratings
Built-in Processors
00 Ratings
7.55 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Clari
-
Ratings
Spotfire
7.6
8 Ratings
10% below category average
Multiple Model Development Languages and Tools
00 Ratings
7.57 Ratings
Automated Machine Learning
00 Ratings
8.55 Ratings
Single platform for multiple model development
00 Ratings
7.68 Ratings
Self-Service Model Delivery
00 Ratings
6.76 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
We use Clari as the primary way to manage our sales business, our opportunities, and our forecasting. Clari provides a very clean, digestible, and easy to manipulate format to view and manage all of the Salesforce information. The fact that Clari is able to provide an easily customizable set of columns and groups, coupled with the ability to write back to Salesforce is fantastic. Anyone in a mature sales organization will find Clari highly effective at helping manage their funnel of opportunities and their business.
A high level of data integration is available here it supports various data sources and so on. Collaborating features allow users to give access to the dashboard and merge data analytics with other team members. It can meet the demands of both small and large size business enterprises. A customized dashboard and reports are provided to meet the specific needs and get support of extensibility through APIs and customized scripts.
The donut chart is I guess a powerful illustrations but I hope it should be done quite simple in Spotfire. But in Spotfire there are lots of steps involve just to build a simple donut chart.
Table calculation (like Row or Column Differences) should be made simple or there should be drag and drop function for Table Calculation. No need for scripting.
Information Link should be changed. If new columns are added to the table just refreshing the data should be able to capture the new column. No need extra step to add column
I will renew my Clari Subscription for many reasons. 1. Streamlines Sales - Clari automates many manual tasks like note-taking and transcripts. This frees my sales team so they can focus on closing deals. 2. Increased customer retention - Clari helps me identify potential churn risks and take proactive measures. 3. AI-Driven Insights
-Easy to distribute information throughout the enterprise using the webplayer. -Ad hoc analysis is possible throughout the enterprise using business author in the webplayer or the thick client. -Low level of support needed by IT team. Access interfaces with LDAP and numerous other authentication methods. -Possible to continually extend the platform with JavaScript, R scripts, HTML, and custom extensions. -Ability to standardize data logic through pre-built queries in the Information Designer. Everyone in the enterprise is using the same logic -Tagging and bookmarking data allows for quick sharing of insights. -Integration with numerous data sources... flat files, data bases, big data, images, etc. -Much improved mapping capability. Also includes the ability to apply data points over any image.
Clari's UI does not resonate with new users. The backend query updating takes quite long time to update. Lots of fixes are needed without answers or solutions offered by the Clari team. If set up correctly with clear recommendations from the Clari team, all the previous issues may be resolved, however the usability is tied closely to set up.
Basic tasks like generating meaningful information from large sets of raw data are very easy. The next step of linking to multiple live data sources and linking those tables and performing on the fly analysis of the imported data is understandably more difficult.
becasue end of year or around end of Q due to background changes my total number dissapear and make it hard in that week to see forecast numbers accurate
Even though, it's a rather stable and predictable tool that's also fast, it does have some bugs and inconsistencies that shut down the system. Depending on the details, it could happen as often as 2-3 times a week, especially during the development period.
Generally, the Spotfire client runs with very good performance. There are factors that could affect performance, but normally has to do with loading large analysis files from the library if the database is located some distance away and your global network is not optimal. Once you have your data table(s) loaded in the client application, usually the application is quite good performance-wise.
Clari is very willing to jump in and build out use cases. They will work to do anything for you. That said, their follow up is not great. We have had to reach out for follow up several times on a project, which is still not complete. I wish they taught us how to complete what we want, rather than doing it in house for us
Support has been helpful with issues. Support seems to know their product and its capabilities. It would also seem that they have a good sense of the context of the problem; where we are going with this issue and what we want the end outcome to be.
The instructor was very in depth and provided relevant training to business users on how to create visualizations. They showed us how to alter settings and filter views, and provided resources for future questions. However, the instructor failed to cover data sources, connecting to data, etc. While it was helpful to see how users can use the data to create reports, they failed to properly instruct us on how to get the dataset in to begin with. We are still trying to figure out connections to certain databases (we have multiple different types).
The online training is good, provides a good base of knowledge. The video demonstrations were well-done and easy to follow along. Provided exercises are good as well, but I think there could be more challenging exercises. The training has also gone up in price significantly in the last 3 years (in USD, which hurts us even more in Canada), and I'm not sure it is worth the money it now costs (it is worth how much it cost 3 years ago, but not double that.)
The original architecture I created for our implementation had only a particular set of internal business units in mind. Over the years, Spotfire gained in popularity in our company and was being utilized across many more business units. Soon, its usage went beyond what the original architectural implementation could provide. We've since learned about how the product is used by the different teams and are currently in the middle of rolling out a new architecture. I suggest:
Have clearly defined service level agreements with all the teams that will use Spotfire. Your business intelligence group might only need availability during normal working hours, but your production support group might need 24/7 availability. If these groups share one Spotfire server, maintenance of that server might be a problem.
Know the different types of data you will be working with. One group might be working with "public" data while another group might work with sensitive data. Design your Library accordingly and with the proper permissions.
Know the roles of the users of Spotfire. Will there only be a small set of report writers or does everyone have write access to the Library?
ALWAYS add a timestamp prompt to your reports. You don't want multiple users opening a report that will try and pull down millions of rows of data to their local workstations. Another option, of course, is to just hard code a time range in the backing database view (i.e. where activity_date >= sysdate - 90, etc.), but I'd rather educate/train the user base if possible.
This probably goes without saying, but if possible, point to a separate reporting database or a logical standby database. You don't want the company pounding on your primaries and take down your order system.
At the time of selection, Clari was a more mature product than Xactly Forecasting. We did not want to experience growing pains with Xactly. Pipeline Inspection from SFDC was just becoming available. We had already selected Clari before we learned about Pipeline Inspection.
Spotfire is significantly ahead of both products from an ETL and data ingestion capability. Spotfire also has substantially better visualizations than Power BI, and although the native visualizations aren't as flexible in Tableau, Spotfire enables users to create completely custom javascript visaualizations, which neither Tableau or Power BI has. Tableau and Power BI are likely only superior to Spotfire with respect to embedded analysis on a website.
In an enterprise architecture, if Spotfire Advanced Data services(Composite Studio),data marts can be managed optimally and scalability in a data perspective is great. As the web player/consumer is directly proportional to RAM, if the enterprise can handle RAM requirement accomodating fail over mechanisms appropraitely, it is definitely scalable,