David Menninger's Analyst Perspectives

MicroStrategy Takes Cloud Computing Personally

Posted by David Menninger on Sep 29, 2011 12:13:42 PM

This has been the year of the cloud for MicroStrategy. After ignoring early competition from cloud-based business intelligence (BI) providers, the company has jumped on the cloud BI bandwagon. At MicroStrategy Worldearly this year it announced a program called Cloud Intelligence and this summer introduced MicroStrategy Cloud, a complete BI platform with the option of using either IBM Netezza or ParAccel as the database and Informatica as the data integration environment. Now the company has expanded its cloud offerings to include MicroStrategy Cloud Personal, which enables individuals to easily upload spreadsheet data, analyze it and share it with others. (A free version is currently in beta testing.)

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Topics: Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, MicroStrategy, SaaS, Sales Performance, Software as a Service, Supply Chain Performance, Visualization, Workforce Performance, Cloud Computing

PivotLink Advances Business Analytics in the Cloud

Posted by David Menninger on Sep 26, 2011 6:26:57 AM

PivotLink introduced version 5 of its Business Intelligence (BI) product, which it delivers in the cloud computing environment and available through software as a service (SaaS) at its user conference. Demonstrating one of the unique benefits of providing it a SaaS approach, PivotLink did not require any of the attendees to request a download, get a new license file or do any type of software upgrade to receive the new version. It had already been done for them. One purpose of the conference was to inform customers of the new features they now had at their disposal. Any enterprise that has had to coordinate a major software upgrade should appreciate the time savings SaaS can provide on normal software maintenance activities. Our recent benchmark research on business data in the cloud indicates that companies are adopting SaaS-based products to varying degrees across all the lines of business.

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Topics: Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Retail Analytics, SaaS, Sales Performance, Supply Chain Performance, Workforce Performance, Cloud Computing

Karmasphere Makes Sense of Big Data

Posted by David Menninger on Sep 23, 2011 11:03:05 AM

Recently Karmasphere introduced version 1.5 of its Analyst product which helps organizations analyze “big data” stored in Hadoop, the open source large-scale data processing technology. An independent software vendor focused exclusively on the Hadoop market, Karmasphere made available a community edition of its developer product in September 2009 and launched the company in March 2010. Since then it has been active and visible in Hadoop-related events including Hadoop World, the IBM Big Data Symposium and others.

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Topics: Big Data, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Karmasphere, Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, Workforce Performance, Strata+Hadoop, Data Warehousing

Splunk Makes Machine-Generated Big Data Serve Analytics

Posted by David Menninger on Sep 9, 2011 9:35:04 AM

Splunk may be one of the biggest software companies you’ve never heard of. I’ve been following the seven-year-old company for over six months now and recently attended its second annual user conference. Splunk focuses on analyzing large volumes of machine-generated data in underlying applications and systems, which includes application and system logs, network traffic, sensor data, click streams and other loosely structured information sources. Many of these “big data” sources are the same sources analyzed with Hadoop, according to our recently published benchmark research. However, Splunk takes a different approach that focuses on performing simple analyses on this data in real time rather than the batch-based advanced analytics we see as the most common use for Hadoop.

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Topics: Big Data, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Machine data, Operational Intelligence, Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, IT Performance Management (ITPM)