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【行业趋势】分享Gartner最新BI产品调研分析报告
分享最近2014年2月Gartner的BI产品调研分析报告，回复下载全文。抽空了解一下行业的动态是很必要的，IBM Cognos在BI产品前瞻性和完整性上独占鳌头;Tableau作为当下最火的BI数据展示探索工具，在实施上领先其他厂商一大截。摘抄关于IBM Cognos的一段优势和劣势：IBM offers a com...显示全部分享最近2014年2月Gartner的BI产品调研分析报告，回复下载全文。
抽空了解一下行业的动态是很必要的，IBM Cognos在BI产品前瞻性和完整性上独占鳌头;Tableau作为当下最火的BI数据展示探索工具，在实施上领先其他厂商一大截。
摘抄关于IBM Cognos的一段优势和劣势：
IBM offers a complete range of enterprise-grade BI, performance management and advanced analytics
platform capabilities, complemented by a deep services organization that is ready to implement them in
solutions for any domain, industry or geography.
Strengths
IBM is pushing new boundaries in the analytics space. A strategic objective to broaden and grow
its portfolio in BI, analytics and performance management, coupled with support from IBM Global
Services and a global presence, makes IBM the leading vendor for Completeness of Vision,
although other vendors are closing in. High marks for sales strategy, product strategy, and
industry and geographic strategies, bolster IBM's position on the Magic Quadrant.
With an average data volume accessed in data repositories of over 10TB, an average deployment
size of 2,428 users (top quartile; the average for vendors in this report is 1,364), and the biggest
queries accessed averaging 1,858GB (second only to MicroStrategy), the IBM Cognos BI platform
handles some of the largest deployments evaluated in this Magic Quadrant. Further evidence of
IBM's enterprise-ready credentials is that the platform earned an enterprise deployment score (for
size of deployments and global pervasiveness across an organization) in the top three in our
survey. Moreover, two of IBM's most highly rated product capabilities are metadata management
and BI infrastructure and administration. Both are requirements for supporting large enterprise
systems-of-record deployments, reinforcing IBM Cognos's strengths as a platform capable of
supporting large deployments. IBM customers also rated its traditional BI capabilities for ad hoc
reporting, dashboards and OLAP capabilities above the average.
After a first attempt to enter the data discovery market with IBM Cognos Insight, IBM is trying a
radically new approach, which we refer to in this report as "smart data discovery." Watson
Analytics — to be released in 2014 — allows business users to analyze data without any technical
or statistical knowledge. When queried using natural language (for example, "Why are sales down
in the East region?"), the cloud-based tool accesses datasets, correlates information and infers
conclusions that are then presented in a visually engaging and streamlined interface accessible to
business users of every skill level. The insights can be further refined through other questions. It
uses natural-language query and other innovations developed from IBM's Watson project, as well
as advances developed for IBM's SPSS Analytic Catalyst product that hide the complexities of
advanced analytics. IBM is trying to use lessons learned from the Watson project to create a
next-generation data discovery tool that may transform the paradigm of how information is used
in organizations; indeed, if disruption occurs soon in this sector, it will probably result from
innovations introduced with Watson Analytics. Customers and vendors alike should prepare for its
potential impact. To further strengthen its position in the growing area of "smart systems,"
including "smart data discovery," IBM recently announced the creation of the Watson Business
Group, entailing the allocation of 2,000 professionals, the investment of $1 billion over the next
few years, and the creation of an investment fund to foster the creation of a third-party
application ecosystem.
In 2013, IBM significantly simplified the Cognos licensing model, reducing 28 roles to only two: BI
Architect for system administration and BI User with full access via Web, desktop or mobile device
to all the information exploration and reporting capabilities. Purchasing, license administration and
even information consumption should become simpler. To date, Gartner has seen limited adoption
of this new model, but IBM will increase its efforts to advance it in 2014. Customers should ask for
pricing using the new two-role metric, to see whether it will result in a more favorable average
license cost per user.
Cautions
Unusually, IBM customers did not report clear reasons for selecting its platform, except for
choosing IBM Cognos because it is their corporate standard. The lack of recognizable advantages
over its competitors might compromise IBM's future in the BI and analytics space. Watson
Analytics could be a response to this issue, as it represents a significant opportunity for IBM to
differentiate itself, if it can integrate the capabilities with IBM Cognos to combine its strong
enterprise features with innovative, business-user-oriented data discovery.
Customers identify several limitations that prevent broader deployment of IBM solutions. Cost of
software is the main reason, cited by 40% of IBM customers — double the survey's 20% average.
IBM also scored near the bottom for sales experience. Gartner's inquiries have revealed frustration
with IBM's sales and contracting, and high numbers of audits. Customers also identify poor
performance, lack of ease of use for business users and developers, and poor support quality as
inhibitors to wider adoption. An above-average percentage, 8.5% of IBM Cognos 10 customers,
reported performance as a product limitation, compared with the market average of 4.6%. Results
have nevertheless improved significantly from those for previous product versions, and could now
be in part due to the platform's support for large datasets and deployments.
Many of IBM's product capability scores are below the survey average for this Magic Quadrant —
those for geospatial and location intelligence, interactive visualization, embedded advanced
analytics (unsurprising since IBM SPSS is a separate product for which integration with the IBM
Cognos platform is a work in process) and embeddable analytics. It also takes 6.2 days on
average to create a report using the platform (an average of simple, moderate and complex
reports), compared with the survey average of 4.3 days — a result near the higher end in this
Magic Quadrant. Support for more complex types of analysis beyond reporting scored below the
market average, and IBM's score for ease of use for business users is near the bottom. We expect
these perceptions to improve once Watson Analytics is generally available and widely deployed in
IBM's installed base.
Overall, IBM's customers placed IBM in the bottom quartile for achievement of business benefits
from its BI deployments — similar to most other IT-centric vendors. IBM is trying to skip a
generation of data discovery tools and move into "smart discovery," but this approach may
encounter unexpected technical challenges and could take some time for customers to realize its
full potential. In the meantime, IBM must continue to invest in the usability and basic capabilities
of its current product line, in order to overcome or at least mitigate some of the weaknesses
identified in this Magic Quadrant.
抽空了解一下行业的动态是很必要的，IBM Cognos在BI产品前瞻性和完整性上独占鳌头;Tableau作为当下最火的BI数据展示探索工具，在实施上领先其他厂商一大截。
摘抄关于IBM Cognos的一段优势和劣势：
IBM offers a complete range of enterprise-grade BI, performance management and advanced analytics
platform capabilities, complemented by a deep services organization that is ready to implement them in
solutions for any domain, industry or geography.
Strengths
IBM is pushing new boundaries in the analytics space. A strategic objective to broaden and grow
its portfolio in BI, analytics and performance management, coupled with support from IBM Global
Services and a global presence, makes IBM the leading vendor for Completeness of Vision,
although other vendors are closing in. High marks for sales strategy, product strategy, and
industry and geographic strategies, bolster IBM's position on the Magic Quadrant.
With an average data volume accessed in data repositories of over 10TB, an average deployment
size of 2,428 users (top quartile; the average for vendors in this report is 1,364), and the biggest
queries accessed averaging 1,858GB (second only to MicroStrategy), the IBM Cognos BI platform
handles some of the largest deployments evaluated in this Magic Quadrant. Further evidence of
IBM's enterprise-ready credentials is that the platform earned an enterprise deployment score (for
size of deployments and global pervasiveness across an organization) in the top three in our
survey. Moreover, two of IBM's most highly rated product capabilities are metadata management
and BI infrastructure and administration. Both are requirements for supporting large enterprise
systems-of-record deployments, reinforcing IBM Cognos's strengths as a platform capable of
supporting large deployments. IBM customers also rated its traditional BI capabilities for ad hoc
reporting, dashboards and OLAP capabilities above the average.
After a first attempt to enter the data discovery market with IBM Cognos Insight, IBM is trying a
radically new approach, which we refer to in this report as "smart data discovery." Watson
Analytics — to be released in 2014 — allows business users to analyze data without any technical
or statistical knowledge. When queried using natural language (for example, "Why are sales down
in the East region?"), the cloud-based tool accesses datasets, correlates information and infers
conclusions that are then presented in a visually engaging and streamlined interface accessible to
business users of every skill level. The insights can be further refined through other questions. It
uses natural-language query and other innovations developed from IBM's Watson project, as well
as advances developed for IBM's SPSS Analytic Catalyst product that hide the complexities of
advanced analytics. IBM is trying to use lessons learned from the Watson project to create a
next-generation data discovery tool that may transform the paradigm of how information is used
in organizations; indeed, if disruption occurs soon in this sector, it will probably result from
innovations introduced with Watson Analytics. Customers and vendors alike should prepare for its
potential impact. To further strengthen its position in the growing area of "smart systems,"
including "smart data discovery," IBM recently announced the creation of the Watson Business
Group, entailing the allocation of 2,000 professionals, the investment of $1 billion over the next
few years, and the creation of an investment fund to foster the creation of a third-party
application ecosystem.
In 2013, IBM significantly simplified the Cognos licensing model, reducing 28 roles to only two: BI
Architect for system administration and BI User with full access via Web, desktop or mobile device
to all the information exploration and reporting capabilities. Purchasing, license administration and
even information consumption should become simpler. To date, Gartner has seen limited adoption
of this new model, but IBM will increase its efforts to advance it in 2014. Customers should ask for
pricing using the new two-role metric, to see whether it will result in a more favorable average
license cost per user.
Cautions
Unusually, IBM customers did not report clear reasons for selecting its platform, except for
choosing IBM Cognos because it is their corporate standard. The lack of recognizable advantages
over its competitors might compromise IBM's future in the BI and analytics space. Watson
Analytics could be a response to this issue, as it represents a significant opportunity for IBM to
differentiate itself, if it can integrate the capabilities with IBM Cognos to combine its strong
enterprise features with innovative, business-user-oriented data discovery.
Customers identify several limitations that prevent broader deployment of IBM solutions. Cost of
software is the main reason, cited by 40% of IBM customers — double the survey's 20% average.
IBM also scored near the bottom for sales experience. Gartner's inquiries have revealed frustration
with IBM's sales and contracting, and high numbers of audits. Customers also identify poor
performance, lack of ease of use for business users and developers, and poor support quality as
inhibitors to wider adoption. An above-average percentage, 8.5% of IBM Cognos 10 customers,
reported performance as a product limitation, compared with the market average of 4.6%. Results
have nevertheless improved significantly from those for previous product versions, and could now
be in part due to the platform's support for large datasets and deployments.
Many of IBM's product capability scores are below the survey average for this Magic Quadrant —
those for geospatial and location intelligence, interactive visualization, embedded advanced
analytics (unsurprising since IBM SPSS is a separate product for which integration with the IBM
Cognos platform is a work in process) and embeddable analytics. It also takes 6.2 days on
average to create a report using the platform (an average of simple, moderate and complex
reports), compared with the survey average of 4.3 days — a result near the higher end in this
Magic Quadrant. Support for more complex types of analysis beyond reporting scored below the
market average, and IBM's score for ease of use for business users is near the bottom. We expect
these perceptions to improve once Watson Analytics is generally available and widely deployed in
IBM's installed base.
Overall, IBM's customers placed IBM in the bottom quartile for achievement of business benefits
from its BI deployments — similar to most other IT-centric vendors. IBM is trying to skip a
generation of data discovery tools and move into "smart discovery," but this approach may
encounter unexpected technical challenges and could take some time for customers to realize its
full potential. In the meantime, IBM must continue to invest in the usability and basic capabilities
of its current product line, in order to overcome or at least mitigate some of the weaknesses
identified in this Magic Quadrant.
附件：
Magic Quadrant for Business Intelligence and Analytics Platforms_201402.pdf (513.66 KB)