Longview Analytics and Birst compete in the business intelligence market. Longview holds an advantage in pricing and customer service, while Birst has superior features, justifying its higher price point.
Features: Longview Analytics offers strong financial planning capabilities, seamless integration with Microsoft products, and robust financial reporting tools, which are highly beneficial for financial analysts. Birst provides superior data discovery and visualization tools, automated ETL processes, and built-in application connectors, making it valuable for data scientists and business analysts.
Room for Improvement: Longview could enhance its data visualization capabilities, improve user interface design, and provide better integration with non-Microsoft environments. Birst could improve its personalized customer support, offer more flexible deployment options, and reduce its pricing to better compete in the market.
Ease of Deployment and Customer Service: Longview Analytics offers flexible deployment options with both on-premise and cloud solutions, supported by dedicated customer service teams. Birst operates mainly as a cloud-based solution enabling rapid deployment but may not offer the same level of personalized service as Longview.
Pricing and ROI: Longview Analytics is typically more cost-effective with a lower initial investment and faster time to value, appealing to smaller organizations managing costs. Birst requires a higher upfront investment but offers a strong ROI with its sophisticated analytics capabilities, suitable for organizations in pursuit of comprehensive data solutions.
| Product | Mindshare (%) |
|---|---|
| Longview Analytics | 1.3% |
| Birst | 0.8% |
| Other | 97.9% |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 7 |
| Large Enterprise | 12 |
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).
Longview Analytics integrates data from disparate sources. No requirement for you to extract your data and aggregate content into a proprietary data source.
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