Clarabridge Launches Pioneering On-Demand Text Analytics Service
| Current Perspective: |
| Positive |
| Vendor Importance: |
| High |
| Market Impact: |
| High |
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On June 11th Clarabridge announced the general availability of Content Mining Service (CMS), an on-demand, hosted, subscription-based text analytics/mining service. In addition to providing access to the full functionality of the vendor’s existing premises-based Content Mining Platform (CMP), the new CMS offering adds enhancements in categorization, clustering, sentiment tuning, root-cause analysis, and category-influence reporting.
Recommended Competitive Responses
► Rival text analytics/mining vendors should launch on-demand subscription-based versions of their premises-based solutions to match Clarabridge’s new CMS offerings. Rivals such as Attensity, Business Objects/Inxight, Factiva, IBM, Nstein, Oracle, Reuters/ClearForest, SAS, SPSS, and Teragram should use SaaS as a channel for expanding their addressable market to include SMB and consumer applications, as well as the point, transient, departmental, and trial requirements of larger enterprises.
► BI and data mining vendors that have their own text analytics/mining tools should position Clarabridge as a point solution provider. By contrast, these rivals should present their own text analytics/mining solutions as integral components of comprehensive product families that can process structured, unstructured, and semi-structured data.
► BI and data mining vendors that lack their own text analytics/mining tools should either license Clarabridge’s best-of-breed technology or consider acquiring the company itself (or any of its pure-play rivals) outright. Going forward, text analytics is becoming a core BI feature, and is key to integrating ECM, RSS, blogs, wikis, and other unstructured content into enterprise data management (DM) environments.
Recommended End User/Customer Responses
► Enterprises looking for sophisticated text analytics/mining tools to address particular point applications should strongly consider Clarabridge’s CMP (premises-based) or CMS (SaaS). The offerings now provide enhancements in categorization, clustering, sentiment tuning, root-cause analysis, and category-influence reporting.
► Enterprises that are looking for text analytics/mining functionality but do not wish to deploy this functionality in-house (with the concomitant investment in software, hardware, storage, data-center staff, etc.) should consider Clarabridge’s new CMS offering. As an SaaS-based solution, CMS provides a low-risk, low-cost, pay-as-you-go option for enterprises in general, and is well suited to point, transient, departmental, trial, and SMB deployments.
Business Objects Rolls Out Integrated CPM, Acquires Text Analytics, and Previews On-Demand BI-Integrated Commercial Data
| Current Perspective: |
| Positive |
| Vendor Importance: |
| High |
| Market Impact: |
| High |
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On May 22nd Business Objects announced the new BusinessObjects EPM Performance Suite, which integrates the former ALG Software’s cost and profitability analysis offerings onto the BusinessObjects XI platform, introduces new financial analytics features, provides new visualization and data integration capabilities in financial planning, and will be generally available on June 7.
Recommended Competitive Responses
► Oracle, SAP, and Microsoft must aggressively cross-sell their growing CPM product families into their respective packaged-application customer bases, positioning Business Objects’ analytic solutions as redundant with the functionality that customers already access in their existing ERP applications.
► CPM vendors should accelerate development of consolidated families of BI-integrated analytic applications. Oracle and SAP must converge CPM solutions from Hyperion and Outlooksoft, respectively, into their existing CPM and BI platforms. Cognos and SAS must continue to enhance their respective BI and DI offerings, while tightening integration with their own CPM applications. And Microsoft must simply deliver its first BI-integrated CPM platform in order to be considered a credible player in this emerging market.
► CPM rivals must continue to make fill-in acquisitions and engage their partner ecosystems in order to offer a broad variety of targeted horizontal and vertical applications
► BI rivals should acquire and/or merge with text-analytics vendors to fill out their product portfolios and compete head-on with Business Objects, IBM, Oracle, SAS, SPSS, and others in this growing niche.
► BI rivals should beef up their support for integration of third-party commercial business data into their reports, dashboards, scorecards, and other tools.
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