Bitam Artus vs Yellowfin comparison

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Bitam Logo
165 views|114 comparisons
100% willing to recommend
Yellowfin Logo
287 views|222 comparisons
100% willing to recommend
Executive Summary

We performed a comparison between Bitam Artus and Yellowfin based on real PeerSpot user reviews.

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To learn more, read our detailed BI (Business Intelligence) Tools Report (Updated: April 2024).
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Featured Review
Ranking
Views
165
Comparisons
114
Reviews
0
Average Words per Review
0
Rating
N/A
Views
287
Comparisons
222
Reviews
0
Average Words per Review
0
Rating
N/A
Buyer's Guide
BI (Business Intelligence) Tools
April 2024
Find out what your peers are saying about Microsoft, Tableau, Oracle and others in BI (Business Intelligence) Tools. Updated: April 2024.
767,847 professionals have used our research since 2012.
Comparisons
Also Known As
Artus
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Overview

Artus is the core of the BITAM Suite. It consists of three fundamental elements:

  • Bitam Administrator - which contains all the metadata, facilitating the creation of multidimensional structures, user security, etc.
  • Artus Designer - which allows easy and intuitive creation of scenarios.
  • Artus Web User - platform from which the user can access the greater capabilities for the management of the Decision-Making Process.
Yellowfin offers a business intelligence (BI) platform that allows users to interact with big data in a variety of ways. Yellowfin works to provide big data access to companies of all sizes, from small business to billion-dollar enterprises. It is designed for providing data quickly and allowing users to filter for specific results, maximizing gain from big data. Yellowfin has a variety of dashboards so the user can filter, drill to detail, and have data analysis in the same browser. The data can also be easily shared with others via email, wiki embed, and reports. There is a mobile app as well, which works automatically with the desktop dashboards to allow users to access their data on the go, and alerts can be set up to notify a user via email or push to a mobile device if the data is indicating a critical event taking place. Yellowfin also can map data to locations, providing not only the what of data, but also the where. Lancashire Care NHS Foundation Trust provides its community in England with mental health and community care services. Using Yellowfin's mobile business intelligence capabilities to deliver reporting and analytics to approximately 6000 clinicians, Lancashire Care NHS Foundation Trust was able to greatly improve the quality of its patient care. Yellowfin allowed the Trust to access and share independent data from mobile devices as well as create a Balanced Scoreboard to quickly gather and report information on the company's performance to its executives, management, and directors.
Sample Customers
International Trucks, Arnecom, Lamosa, Black & Decker
NCS, Universitat Konstanz, AT&T, PG&E, SingTel, InternetStores
Top Industries
No Data Available
VISITORS READING REVIEWS
Computer Software Company27%
Government11%
Financial Services Firm7%
Insurance Company6%
Company Size
No Data Available
VISITORS READING REVIEWS
Small Business35%
Midsize Enterprise20%
Large Enterprise45%
Buyer's Guide
BI (Business Intelligence) Tools
April 2024
Find out what your peers are saying about Microsoft, Tableau, Oracle and others in BI (Business Intelligence) Tools. Updated: April 2024.
767,847 professionals have used our research since 2012.

Bitam Artus is ranked 43rd in BI (Business Intelligence) Tools while Yellowfin is ranked 36th in BI (Business Intelligence) Tools. Bitam Artus is rated 9.0, while Yellowfin is rated 8.0. The top reviewer of Bitam Artus writes "OLAP ad-hoc analysis is a valuable feature but the pricing needs to be improved". On the other hand, the top reviewer of Yellowfin writes "Very scalable design and easy to implement. It can reside alongside more complex enterprise systems". Bitam Artus is most compared with Microsoft Power BI, whereas Yellowfin is most compared with Microsoft Power BI, Apache Superset, 9 Spokes, Tableau and SAP Crystal Reports.

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