360 Score: 3.28
(2 Reviews)
For Vendors

SAS Cognitive Analytics Reviews & Details

  • North Carolina, USA
  • 1976
  • $1BN to $5BN
Sectors
BFSI, Manufacturing, Retail and eCommerce, Healthcare and Life Sciences, IT and Telecom
Regions
Europe, Middle East and Africa, Asia-Pacific, North America
There's no Company Overview
SAS Popular Comparisons
Evaluated against 150 key buying criteria
Strengths
  • Hosted/On Cloud
  • On - Premises
  • Knowledge
  • Search
  • Adaptive
  • Contextual
  • Interactive
  • Iterative
  • Stateful
  • Chatbots
  • Data Pattern Recognition
  • Face Detection
  • Fraud Detection
  • Risk Assesement
  • Sentimental Analysis
  • Social Media Monitoring
  • Text Recognition
  • Education & Training
  • Deployment & Integration Services
  • Managed Services
Weaknesses
  • No Weaknesses

Reviews

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External,
(*)( )( )( )( )1

“Hardware-Enabled Security Capabilities"

SAS’ virtual assistant service employs a team of dedicated specialists, capable of handling everything from answering phones, email management, writing correspondence, outbound scheduling, editing presentations, and more. Virtual staff can give a business a professional appearance along with the personal touch that clients would appreciate.
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(*)(*)(*)( )( )3

“A beginner’s tool"

Offers click capabilities for users but lacks in limited programming experience. It allows non-programmers involved with data mining and organizing. SAS advanced analytics is useful in analyzing complex survey data. Modeling/graphing becomes easy because of this product. An advanced analytics online support is also available to guide. However, not everyone can use it without proper training and it requires a lot of coding compared to other software such as STATA or SPSS.
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SAS Presence in Cognitive Analytics Solutions
SAS is one of the global leaders in cloud and analytics. With huge investments in these areas, SAS has acquired a strong position in the analytics domain. It continues to expand its presence in the cognitive analytics market by building its data mining and machine learning capabilities. With a wide reach across various industries, including retail, energy, automobile, cybersecurity, eCommerce, and customer service, the company caters to a diverse set of business requirements changing from industry to industry, organizations, and business functions through its comprehensive analytics portfolio. SAS invests a large portion of its revenue in R&D and has increased its R&D expenditure in the recent 3 years, from 2014 to 2016. The R&D expenditure in 2016 amounted to 26% of the total revenue. In the cognitive analytics market, SAS maintains its position by expanding its offerings through organic strategies, which include new product launches and product developments. These strategies have also helped the company in driving the adoption of its existing product portfolio and expanding into untapped markets through its extensive partner network.
#1 Product Features and Functionality / Application
#2 Product Features and Functionality / Core features
#3 Product Features and Functionality / Categories of Cognitive Computing for Pricing
#4 Core features / Interactive
#5 Core features / Contextual
#1 Virtual Assitant
#2 Digital Compliance Operations
#3 Competitive Advantage
#4 Targeted Business And Manufacturing Process
#5 Virtual Assitant For Wealth Advisory, Branch Enquiries,Contact Centre, Mobile Banking

SAS QUADRANTS

SAS has chosen it’s strengths in these 3 territories
  • Niche Quadrant

    All-Middle East and Africa

  • Niche Quadrant

    All-Asia-Pacific

  • Niche Quadrant

    All-Europe