Yellowfin has announced a new partnership with Extol, one of
Malaysia's largest ICT security solutions providers, in which Extol
will integrate their predictive analytics application into Yellowfin.
Neural Networks for predictive analysis
As part of their risk management business, Extol have developed a
neural network predictive analysis engine, and are now working with
Yellowfin to develop a usable front end that is integrated with
reporting and can be delivered to their clients; the largest insurance
companies and banks in Malaysia.
Extol MSC Berhad is an ICT security solutions provider offering one-
stop end-to-end solution services encompassing all aspects of ICT
security, including managed security solutions, implementation and
consultancy. In meeting the challenges of escalating security threats,
Extol has developed and evolved to become the leading provider of
simple, cost-efficient and effective ICT security management systems,
protecting organisations from security threats such as malicious codes
(viruses), network intrusions and fraudulent use of ICT systems.
Extol's history goes back to 1984 when Extol Corporation, a member of
the Extol MSC Berhad, was incorporated and operated as a distributor
of ICT hardware and software products. Incepted in 1990, Extol was one
of the first Malaysian companies to have internally developed a
commercially-viable anti-virus software called the Armour and
initiated strategic technological partnerships such as Norman DDS (a
Norwegian anti-virus software developer) for technological exchanges
in terms of anti-virus applications.
"We really appreciated the approach that Justin Tan and his R&D team
have taken to solving some of the predictive modelling issues, and are
looking forward to a great partnership in the future." Said Glen
Rabie, CEO of Yellowfin.
For Yellowfin, this partnership means that they can offer their
clients a highly intuitive predictive modelling module, one which has
generally been at the rocket science end of the BI spectrum. Now
Yellowfin is going to make it available for the average business users.
Malaysia's largest ICT security solutions providers, in which Extol
will integrate their predictive analytics application into Yellowfin.
Neural Networks for predictive analysis
As part of their risk management business, Extol have developed a
neural network predictive analysis engine, and are now working with
Yellowfin to develop a usable front end that is integrated with
reporting and can be delivered to their clients; the largest insurance
companies and banks in Malaysia.
Extol MSC Berhad is an ICT security solutions provider offering one-
stop end-to-end solution services encompassing all aspects of ICT
security, including managed security solutions, implementation and
consultancy. In meeting the challenges of escalating security threats,
Extol has developed and evolved to become the leading provider of
simple, cost-efficient and effective ICT security management systems,
protecting organisations from security threats such as malicious codes
(viruses), network intrusions and fraudulent use of ICT systems.
Extol's history goes back to 1984 when Extol Corporation, a member of
the Extol MSC Berhad, was incorporated and operated as a distributor
of ICT hardware and software products. Incepted in 1990, Extol was one
of the first Malaysian companies to have internally developed a
commercially-viable anti-virus software called the Armour and
initiated strategic technological partnerships such as Norman DDS (a
Norwegian anti-virus software developer) for technological exchanges
in terms of anti-virus applications.
"We really appreciated the approach that Justin Tan and his R&D team
have taken to solving some of the predictive modelling issues, and are
looking forward to a great partnership in the future." Said Glen
Rabie, CEO of Yellowfin.
For Yellowfin, this partnership means that they can offer their
clients a highly intuitive predictive modelling module, one which has
generally been at the rocket science end of the BI spectrum. Now
Yellowfin is going to make it available for the average business users.