Our latest benchmark research into the market for location analytics software finds significant demand for location-related technology that can improve business outcomes and generate relevant information for various types of users. (Location analytics is an extension of business analytics that can enhance the sophistication of data and processes by adding a geographic context.) My last analyst perspective on this topic discussed the business value of insights based on geography and what organizations are doing to advance their efforts here. Our research also shows, however, that most still lack satisfaction and confidence in using the technology. Just 12 percent of all participants said they are very satisfied with the location information and analytics available in their organization. Further analysis shows that satisfaction increases with use of a dedicated application for location analytics: 71 percent of those are satisfied or very satisfied, substantially more than those using location analytics within a BI tool (22%); findings are similar for both B2B and B2C use. We find similar levels of confidence in the quality of location information: 15 percent of those using a dedicated application are very confident in their location analytics. Confidence in the reliability of such information is essential to more organizations adopting location analytics.
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Topics:
Big Data,
Social Media,
GIS,
Location Analytics,
Operational Performance Management (OPM),
Business Analytics,
Business Collaboration,
Business Intelligence,
Cloud Computing,
Location Intelligence,
Operational Intelligence,
Business Performance Management (BPM),
Customer Performance Management (CPM),
Data,
Financial Performance Management (FPM),
Information Applications (IA),
Information Management (IM),
IT Performance Management (ITPM),
Sales Performance Management (SPM),
Supply Chain Performance Management (SCPM)
Cisco Systems has announced its intent to acquire Composite Software, which provides data virtualization to help IT departments interconnect data and systems; the purchase is scheduled to complete in early August. Cisco of course is known for its ability to interconnect just about anything with its networking technology; this acquisition will help it connect data better across networks. Over the last decade Composite had been refining the science of virtualizing data but had reached the peak of what it could do by itself, struggling to grow enough to meet the expectations of its investors, board of directors, employees, the market and visionary CEO Jim Green, who is well-known for his long commitment to improving data and technology architectures. According to press reports on the Internet, Cisco paid $180 million for Composite, which if true would be a good reward for people who have worked at Composite for some time and who were substantive shareholders.
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Topics:
Big Data,
Networking,
Operational Performance Management (OPM),
Business Analytics,
Cloud Computing,
Data Management,
Governance, Risk & Compliance (GRC),
Information Management,
Business Performance Management (BPM),
Cisco,
Composite Software,
Data,
Data Virtualization,
Information Applications (IA),
Information Management (IM),
Information Optimization,
Internet of Everything,
IT Performance Management (ITPM),
Strata+Hadoop
Information technology for business is changing rapidly as organizations demand innovation to help them discover insights and facts. Our research into business technology innovation found analytics to be the top priority in 39 percent of organizations. Businesses feel pressure to be better, faster and smarter in operating processes, and understanding their various types of information is a key to success. Businesses are looking to capture value from all types of information both within the enterprise and on the Internet. In this context technology providers are now using the term “discovery” to capture potential buyers’ attention; it became an area for technology spending in 2012 and likely will be for years to come. In fact my colleague Tony Cosentino has identified discovery as one of the four pillars of big data analytics.
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Topics:
Big Data,
Event discovery,
Operational Performance Management (OPM),
Analytics,
Business Analytics,
Business Intelligence,
CIO,
Information Management,
Location Intelligence,
Operational Intelligence,
Visualization,
Business Performance Management (BPM),
Customer Performance Management (CPM),
Data,
Data Discovery,
Financial Performance Management (FPM),
Information Applications (IA),
Information Discovery,
Information Management (IM),
Sales Performance Management (SPM),
Supply Chain Performance Management (SCPM),
Workforce Performance Management (WPM)
Salesforce is a global software-as-a-service (SaaS) company to be reckoned with. The swarming crowds at its Dreamforce event last week were estimated to exceed 90,000. The company is rapidly growing an ecosystem that includes Sales, Service and Marketing Clouds; Force.com for building applications; and Data.com for storing data in the cloud centrally for use across Salesforce products. It is also focusing on social computing, as I outlined at the beginning of the event. Hundreds of Salesforce partners complement and in some cases compete with the company with a large range of applications and tools available on the Salesforce AppExchange.
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Topics:
Big Data,
Master Data Management,
Salesforce.com,
Social Media,
Operational Performance Management (OPM),
SnapLogic,
Zyme Solutions,
Business Analytics,
Business Intelligence,
CIO,
Cloud Computing,
Data Governance,
Data Integration,
Governance, Risk & Compliance (GRC),
Informatica,
Information Builders,
Information Management,
Business Performance Management (BPM),
Customer Performance Management (CPM),
Data,
data integrity,
database.com,
IT Performance Management (ITPM),
Kapow,
Sales Performance Management (SPM)
Our recent benchmark research on information management uncovered some startling facts about the level of technology adoption necessary for efficient information-centric organizations. Chief information officers (CIO) are responsible for the availability of information to their businesses in a consistent and timely basis, but in most organizations, information management is seen as just a delegated set of tasks and is not the CIO’s top priority. This unfortunate outlook can have a lasting impact on the efficiency and profitability of a business.
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Topics:
Big Data,
Operational Performance Management (OPM),
Business Analytics,
CIO,
Data Management,
Information Management,
Business Performance Management (BPM),
Customer Performance Management (CPM),
Data,
Financial Performance Management (FPM),
Information Applications (IA),
Information Management (IM),
IT
Using Hadoop just got easier, thanks to Teradata’s introduction of SQL-H, a new query interface to analyze data from Hadoop. Most Hadoop access methods require preprocessing and staging of data from the Hadoop Distributed File System (HDFS) using technologies such as MapReduce. These approaches require new skills and technologies, introducing more time and costs for users, which offset the benefits of Hadoop, which according to our big data benchmark research include increasing the speed of analysis. Teradata has announced support for SQL-H not only for its own Aster Database 5.0, which it expects to release in the third quarter, but also supporting the commercial version of Hadoop through Hortonworks.
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Topics:
Big Data,
Teradata,
SQL-H,
Business Analytics,
Business Intelligence,
CIO,
Hortonworks,
Information Management,
Data,
Information Management (IM),
Strata+Hadoop
I attended the Alteryx user conference called Inspire 2012 (Twitter: #Inspire12) in Denver this week. This fairly new analytics software company has been gaining customers in a range of brand-name organizations such as Dick’s Sporting Goods, Supervalu, U.S. Cellular and VF Corp. The company focuses on meeting the needs of analysts across the business analytic spectrum including a geographic and location context for simplifying the analytic tasks and processes for the needs of business at the strategic and operational level.
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Topics:
Big Data,
Mobile,
Predictive Analytics,
R,
Social Media,
alteryx,
Operational Performance Management (OPM),
Analytics,
Business Analytics,
Business Intelligence,
Business Mobility,
Cloud Computing,
Location Intelligence,
Operational Intelligence,
Customer Performance Management (CPM),
Data,
Financial Performance Management (FPM),
Information Applications (IA),
Information Management (IM),
Sales Performance Management (SPM),
Supply Chain Performance Management (SCPM)
Managing large volumes of enterprise data continues to challenge IT organizations as they deal with administration and storage of no longer just terabytes but now petabytes of data and costs increase accordingly. This massive size of data complicates the underlying issues of where and how to store it easily in low-cost hardware and manage the data efficiently. One attempt at a solution is Hadoop, an open source community-based project. It began as part of Yahoo and was led by Doug Cutting, who used the MapReduce concepts for large-scale distributed computing to create a distributed file system. Yahoo itself runs the largest deployment of Hadoop. Doug Cutting is not new to the open source world, being involved in the creation of Lucene, open source search technology among many other open source community projects.
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Topics:
Cloudera,
Data,
Information Management (IM),
Strata+Hadoop
In today’s world, without information there is no business. That is, without having the right information and making it available to the right people at the right time, an organization cannot be fully informed, make the right decisions and act on them, and compete effectively enough to survive and prosper. That much is a given. Finding ways to ensure that an organization’s information is available, timely and in the right form is a complex, ongoing process; I call it the ”secret sauce” that is needed for efficiency and profitability.
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Topics:
Business Intelligence,
Information Applications,
Information Management,
Data,
Information Applications (IA),
Information Availability,
IT Performance Management (ITPM)
Managing large volumes of enterprise data continues to challenge IT organizations as they deal with administration and storage of no longer just terabytes but now petabytes of data and costs increase accordingly. This massive size of data complicates the underlying issues of where and how to store it easily in low-cost hardware and manage the data efficiently. One attempt at a solution is Hadoop, an open source community-based project. It began as part of Yahoo and was led by Doug Cutting, who used the MapReduce concepts for large-scale distributed computing to create a distributed file system. Yahoo itself runs the largest deployment of Hadoop. Doug Cutting is not new to the open source world, being involved in the creation of Lucene, open source search technology among many other open source community projects.
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Topics:
Cloudera,
Data,
Information Management (IM),
Strata+Hadoop
