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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Wolters Kluwer CCH® Tagetik
Score 8.6 out of 10
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Tagetik is a corporate performance management solution that unifies budgeting, financial planning, consolidation and management reporting. Tagetik is offered as SaaS, on a private cloud, or on-premise, and can migrate between deployments as needed.
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Pricing
Spotfire
Wolters Kluwer CCH® Tagetik
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Spotfire
Wolters Kluwer CCH® Tagetik
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
Yes
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
For Enterprise engagements, contact Spotfire directly for a custom price quote.
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More Pricing Information
Community Pulse
Spotfire
Wolters Kluwer CCH® Tagetik
Features
Spotfire
Wolters Kluwer CCH® Tagetik
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Spotfire
7.2
8 Ratings
15% below category average
Wolters Kluwer CCH® Tagetik
-
Ratings
Connect to Multiple Data Sources
7.88 Ratings
00 Ratings
Extend Existing Data Sources
7.48 Ratings
00 Ratings
Automatic Data Format Detection
7.88 Ratings
00 Ratings
MDM Integration
6.05 Ratings
00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Spotfire
9.1
8 Ratings
8% above category average
Wolters Kluwer CCH® Tagetik
-
Ratings
Visualization
9.08 Ratings
00 Ratings
Interactive Data Analysis
9.28 Ratings
00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Spotfire
7.4
8 Ratings
10% below category average
Wolters Kluwer CCH® Tagetik
-
Ratings
Interactive Data Cleaning and Enrichment
7.28 Ratings
00 Ratings
Data Transformations
8.08 Ratings
00 Ratings
Data Encryption
7.05 Ratings
00 Ratings
Built-in Processors
7.55 Ratings
00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Spotfire
7.6
8 Ratings
10% below category average
Wolters Kluwer CCH® Tagetik
-
Ratings
Multiple Model Development Languages and Tools
7.57 Ratings
00 Ratings
Automated Machine Learning
8.55 Ratings
00 Ratings
Single platform for multiple model development
7.68 Ratings
00 Ratings
Self-Service Model Delivery
6.76 Ratings
00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Spotfire
7.4
7 Ratings
14% below category average
Wolters Kluwer CCH® Tagetik
-
Ratings
Flexible Model Publishing Options
7.87 Ratings
00 Ratings
Security, Governance, and Cost Controls
7.07 Ratings
00 Ratings
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Spotfire
-
Ratings
Wolters Kluwer CCH® Tagetik
8.2
10 Ratings
7% above category average
Pixel Perfect reports
00 Ratings
8.07 Ratings
Customizable dashboards
00 Ratings
8.58 Ratings
Report Formatting Templates
00 Ratings
8.09 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Spotfire
-
Ratings
Wolters Kluwer CCH® Tagetik
7.2
24 Ratings
12% below category average
Drill-down analysis
00 Ratings
6.623 Ratings
Formatting capabilities
00 Ratings
7.123 Ratings
Integration with R or other statistical packages
00 Ratings
7.17 Ratings
Report sharing and collaboration
00 Ratings
8.116 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Spotfire
-
Ratings
Wolters Kluwer CCH® Tagetik
9.1
15 Ratings
10% above category average
Publish to Web
00 Ratings
9.510 Ratings
Publish to PDF
00 Ratings
9.413 Ratings
Report Versioning
00 Ratings
7.712 Ratings
Report Delivery Scheduling
00 Ratings
9.611 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
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.
Scenarios where CCH Tagetik is suitable is when a company have large amounts of data and want to transform, consolidate, store and produce reporting in different year, period etc with complex calculations and allocation. Tagetik is the tool for you in this case and it's very flexible in terms of creating your own business rule, calculation and reporting options with a user friendly interface. I have not thought about scenarios where it is not appropriate to use tagetik yet as the tool covers small and large business financial needs
Processes are clearly described in CCH Tagetik ; users can easily find where they are and which action they have to make
Interaction with Excel is really fluid ; the Excel add-in is easy to deploy and to updgrade, in the hand of users. It is reliable provided the internet connection is fast.
Managing hierachies is obvious in CCH Tagetik. Hierarchies are fundamental for a good reporting ; CCH Tagetik has obviously a deep experience of this feature.
SaaS : our experience with CCH Tagetik is of only 1 year, but it technically performs well, the system is reponsive, no shut-down, and updates (every quarter) do not disturb production.
AIH seems to be able to manage very large quantity of data, and to provide advanced analysis functionalities. We did not have time to explore them.
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
-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.
Because in my oppinion Wolters Kluwer CCH Tagetik is one of the most usable tools for consolidation, planning (controlling) and reporting. Its usability is quite easy and innovative. I like the data entry method for the customers with its workflow and tasks, quite easy way to implement a co pilot. And i like the reporting tool, with a lot of customization opportunities.
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.
Surprisingly, this platform is a powerhouse ERP system. However, given time, when more and more organization is able to identify how powerful this tool can be, CCH Tagetik is able to stand as a competitive advantage to many of the Financial industry of today. Although, it needs time to understand the logic behind how CCH Tagetik is formed and setup, once it is known to the user, it is an easy day to day operations with minimal maintenance.
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.
CCH Tagetik has alwyas been there in case we need help. In almost 20 years of commercial relationship, I have no evidence of times in which they were not available to answer a question or to solve an issue linked to their products, timely and efficiently.
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.
As you can see, speed depends on the applications but also on the hardware that runs them. As far as CCH Tagetik improved, we saw the benefit of a cloud-based solution which could solve many speed performance issues.
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.
I got very quick respons. After very little mail iterations, they decided to have online meeting to look together with me to the issue. They tried to solve it during the meeting. I had the impression that the customer care person really knew the system and was able to ask help from other colleagues when needed
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.)
Online training is the only form of training we could deploy during the pandemic. This service has been nonethless delivered with the same standards and the same results of the traditional training procedures.
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.
we did it in a coaching model. This allowed us to have 2 key advantages: we got to know the system very well and managed to save on the implementation cost. This worked well, was maybe a bit slower since we had to do this in our spare time. Nevertheless I strongly recommand
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.
I found the Excel piece of IBM Cognos TM1 to be easier to use than CCH Tagetik. It was much easier to customize the data being pulled and the feel of the reports because of that. Other than that, CCH Tagetik has been more user friendly than IBM Cognos TM1. Navigating within the application is much easier. IBM Cognos TM1 had a lot of issues with certain modules that could not be open concurrently; this would often lead to phantom data being entered in the system. I have not had these issues with CCH Tagetik.
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,
A good and performing scalability both on a geographical and a legal entity scale. The link with MS Office suite allows an easy deployment of the application, especially for contributors.
Gave us a tool that can absolutely grow with us to help multi phase implementations.
A significant time savings in terms of the amount of time we used to spend running reports vs. the time we spend now. Unbelievable improvement.
Gives us the option to use CCH Tagetik to solve business problems that perhaps we didn't have when we implemented CCH Tagetik. It gives us options without the possibility of implementing a whole other software package.