7Park Data vs Birst comparison

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13 views|10 comparisons
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209 views|149 comparisons
76% willing to recommend
Executive Summary

We performed a comparison between 7Park Data and Birst based on real PeerSpot user reviews.

Find out what your peers are saying about Alteryx, SAS, Quest Software and others in Data Preparation Tools.
To learn more, read our detailed Data Preparation Tools Report (Updated: March 2024).
768,578 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
Information Not Available
  • "Please negotiate on the price and purchase the latest version."
  • More Birst Pricing and Cost Advice →

    Ranking
    18th
    Views
    13
    Comparisons
    10
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    32nd
    out of 50 in Reporting
    Views
    209
    Comparisons
    149
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Buyer's Guide
    Data Preparation Tools
    March 2024
    Find out what your peers are saying about Alteryx, SAS, Quest Software and others in Data Preparation Tools. Updated: March 2024.
    768,578 professionals have used our research since 2012.
    Comparisons
    Learn More
    Overview

    7Park Data provides data intelligence for global businesses. It offers businesses access to digital user behavior, and gives you clarity into your investments with app, traffic, web and transactional data. 7Park Data also gives app-level insights from real-time, on-device monitoring of millions of mobile phones and tablets streaming billions of data points on key metrics such as installs, “active” users, engagement and retention trends. Using user research data, you can segment users to better understand share of market.

    Birst Networked BI and Analytics eliminates information silos. Decentralized users can augment the enterprise data model virtually, as opposed to physically, without compromising data governance.

    A unified semantic layer maintains common definitions and key metrics.
    Birst’s two-tier architecture aligns back-end sources with line-of-business or local data. Birst’s Automated Data Refinement extracts data from any source into a unified semantic layer. Users are enabled with self-service analytics through executive dashboards, reporting, visual discovery, mobile tools, and predictive analytics. Birst Open Client Interface also offers integration with Tableau, Excel and R.

    Birst goes to market in two primary ways: as a direct sale, for enterprises using Birst on internal data to manage their business; and embedded, for companies who offer analytic products, by embedding and white-labeling Birst capabilities into their products.

    Birst’s is packaged in 3 available formats: Platform and per-user fee; by Department or Business Unit; by end-customer (for embedded scenarios).

    Sample Customers
    Information Not Available
    Citrix Systems, Jive Software, SunnyD, Toshiba Medical Systems, Cisco OpenDNS, RB, Sunny D, Vertafore
    Top Industries
    No Data Available
    REVIEWERS
    Healthcare Company25%
    Retailer17%
    Insurance Company8%
    Computer Software Company8%
    Company Size
    No Data Available
    REVIEWERS
    Small Business14%
    Midsize Enterprise33%
    Large Enterprise52%
    Buyer's Guide
    Data Preparation Tools
    March 2024
    Find out what your peers are saying about Alteryx, SAS, Quest Software and others in Data Preparation Tools. Updated: March 2024.
    768,578 professionals have used our research since 2012.

    7Park Data is ranked 18th in Data Preparation Tools while Birst is ranked 32nd in Reporting. 7Park Data is rated 0.0, while Birst is rated 7.4. On the other hand, the top reviewer of Birst writes "The dashboards and Visualizer are valuable". 7Park Data is most compared with , whereas Birst is most compared with Microsoft Power BI, ThoughtSpot and Alteryx.

    We monitor all Data Preparation Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.