Many businesses are close to being overwhelmed by the unceasing growth of data they must process and analyze to find insights that can improve their operations and results. To manage this big data they find a rapidly expanding portfolio of technology products. A significant vendor in this market is SAS Institute. I recently attended the company’s annual analyst summit, Inside Intelligence 2014 (Twitter Hashtag #SASSB). SAS reported more than $3 billion in software revenue for 2013 and is known globally for its analytics software. Recently it has become a more significant presence in data management as well. SAS provides applications for various lines of business and industries in areas as diverse as fraud prevention, security, customer service and marketing. To accomplish this it applies analytics to what is now called big data, but the company has many decades of experience in dealing with large volumes of data. Recently SAS set a goal to be the vendor of choice for the analytic, data and visualization software needs for Hadoop. To achieve this aggressive goal the company will have to make significant further investments in not only its products but also marketing and sales. Our benchmark research on big data analytics shows that three out of four (76%) organizations view big data analytics as analyzing data from all sources, not just one, which sets the bar high for vendors seeking to win their business.
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Topics:
Big Data,
Predictive Analytics,
SAS,
Event Stream,
Operational Performance Management (OPM),
Analytics,
Business Analytics,
Business Intelligence,
CIO,
Data Management,
Information Management,
Location Intelligence,
Operational Intelligence,
Business Performance Management (BPM),
Customer Performance Management (CPM),
Discovery,
Information Applications (IA),
Information Management (IM)
Teradata recently gave me a technology update and a peek into the future of its portfolio for big data, information management and business analytics at its annual technology influencer summit. The company continues to innovate and build upon its Teradata 14 releases and its new processing technology. Since my last analysis of Teradata’s big data strategy, it has embraced technologies like Hadoop with its Teradata Aster Appliance, which won our 2012 Technology Innovation Award in Big Data. Teradata is steadily extending beyond providing just big data technology to offer a range of analytic options and appliances through advances in Teradata Aster and its overall data and analytic architectures. One example is its data warehouse appliance business, which according to our benchmark research is one of the key technological approaches to big data; as well Teradata has advanced support with its own technology offering for in-memory databases, specialized databases and Hadoop in one integrated architecture. It is taking an enterprise management approach to these technologies through Teradata Viewpoint, which helps monitor and manage systems and support a more distributed computing architecture.
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Topics:
Big Data,
MicroStrategy,
SAS,
Tableau,
Teradata,
Customer Excellence,
Operational Performance Management (OPM),
Analytics,
Business Analytics,
Business Intelligence,
CIO,
Cloud Computing,
In-Memory Computing,
Location Intelligence,
Operational Intelligence,
CMO,
Customer Performance Management (CPM),
Discovery,
Information Applications (IA),
Information Management (IM),
Intelligent Memory,
Teradata Aster,
Strata+Hadoop
I recently attended the annual SAS analyst summit to hear the latest company, product and customer growth news from the multi-billion-dollar analytics software provider. This global giant continues to grow its business and solutions to help with fraud prevention, marketing and risk. It lets users apply its analytic and statistical technology in practical applications for business. SAS can meet midsized businesses’ demand with packaging and pricing to ensure it is not seen as only affordable to Global 2000 companies. SAS’ growth in analytics should be no surprise, as our research finds analytics to be the first-ranked priority among technologies for innovating business.
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Topics:
Big Data,
Predictive Analytics,
SAS,
Fraud,
GRC,
Operational Performance Management (OPM),
Analytics,
Business Analytics,
Business Intelligence,
CIO,
Cloud Computing,
Data Integration,
Governance, Risk & Compliance (GRC),
Information Management,
Operational Intelligence,
Business Performance Management (BPM),
Customer Performance Management (CPM),
Financial Performance Management (FPM),
Information Applications (IA),
Information Management (IM),
Risk,
Sales Performance Management (SPM)
At the recent Teradata’s annual Partners user conference, the company outlined its expanding role as a provider distributed information architecture technology. My colleague Tony Cosentino assessed Teradata’s business analytics and big data strategy, but there is more under the covers in regards to the company’s expanding role for big data and enterprise architectures. Over the last several decades Teradata has been known for providing enterprise data warehouse appliances, such as its unveiling of its new Teradata 2700 data warehouse appliance, which uses the latest multicore Intel processors. Now, as organizations continue to invest in distributed approaches in which they store and utilize data on a range of appliances and through Hadoop-based big data technology, Teradata has begun to provide integration with Hadoop, including a direct connector to it and commercialized versions of it in partnership with Cloudera and Hortonworks. Earlier this year, for instance, Teradata formed a partnership with Hortonworks that provides a commercialized edition of the open source Hadoop that now is further integrated.
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Topics:
Big Data,
QlikView,
SAS,
alteryx,
Business Analytics,
Hortonworks,
Information Management,
Location Intelligence,
Operational Intelligence,
Information Management (IM),
IT Performance Management (ITPM),
Strata+Hadoop
Ventana Research has just released the 2012 Value Index for Data Integration, in which we evaluate the competency and maturity of vendors and products. Our firm has been researching this software category for almost a decade. Our latest benchmark research in information management found that data integration is a critical component of information management strategies, according to 55 percent of organizations. Our benchmark research on organizations using this software not only uncovers best practices and trends, but it also highlights why IT is using data integration to advance its competencies across people and processes.
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Topics:
Big Data,
Master Data Management,
Microsoft,
Pentaho,
SAP,
SAS,
Social Media,
Talend,
Operational Performance Management (OPM),
SnapLogic,
Business Analytics,
Business Collaboration,
Business Mobility,
Cloud Computing,
Data Governance,
Data Integration,
Governance, Risk & Compliance (GRC),
IBM,
Informatica,
Information Builders,
Information Management,
Location Intelligence,
Oracle,
Business Performance Management (BPM),
Customer Performance Management (CPM),
Financial Performance Management (FPM),
Information Applications (IA),
Information Management (IM),
IT Performance Management (ITPM),
Sales Performance Management (SPM),
Supply Chain Performance Management (SCPM),
Syncsort,
Workforce Performance Management (WPM)
The just-concluded SAS Institute analyst summit (Twitter: #SASSB) provided the annual update on the company’s performance, strategy, products and customers. My analysis of last year’s event talked about its continuation of its product roadmap to new customer acquisition and the broadening of its underlying platform, applications and vertical solutions. SAS is no small-time mover and shaker when it comes to the analytics industry; it extends from technology to tools and applications across industries, which adds up to $2.4 billion in revenue. SAS’s growth was worldwide, with Canada and Asia-Pacific delivering the largest percentage revenue growth and Europe, Middle East and Africa representing the largest revenue for the company at more than $1 billion in revenue; U.S. revenue came in slightly lower.
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Topics:
SAS,
Social Media,
Fraud,
Operational Performance Management (OPM),
Analytics,
Business Intelligence,
Business Technology,
CIO,
Collaboration,
Enterprise Software,
Information Technology,
Mobility,
Operational Intelligence,
Business Performance Management (BPM),
Financial Performance Management (FPM),
Information Management (IM),
IT Performance Management (ITPM),
Risk,
Sales Performance Management (SPM),
Supply Chain Performance Management (SCPM),
Workforce Performance Management (WPM)
The just-concluded SAS Institute analyst summit (Twitter: #SASSB) provided the annual update on the company’s performance, strategy, products and customers. My analysis of last year’s event talked about its continuation of its product roadmap to new customer acquisition and the broadening of its underlying platform, applications and vertical solutions. SAS is no small-time mover and shaker when it comes to the analytics industry; it extends from technology to tools and applications across industries, which adds up to $2.4 billion in revenue. SAS’s growth was worldwide, with Canada and Asia-Pacific delivering the largest percentage revenue growth and Europe, Middle East and Africa representing the largest revenue for the company at more than $1 billion in revenue; U.S. revenue came in slightly lower.
Read More
Topics:
SAS,
Social Media,
Fraud,
Operational Performance Management (OPM),
Analytics,
Business Intelligence,
Business Mobility,
Business Technology,
CIO,
Collaboration,
Enterprise Software,
Information Technology,
Operational Intelligence,
Business Performance Management (BPM),
Customer Performance Management (CPM),
Financial Performance Management (FPM),
Information Management (IM),
IT Performance Management (ITPM),
Risk,
Sales Performance Management (SPM),
Supply Chain Performance Management (SCPM),
Workforce Performance Management (WPM)
