Auth0 PREDICTIVE ANALYTICS REPORT

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ANALYSIS

What You Need to Know

  • Breakouts in the Auth0 predictive analytics are ForgeRock, PingFederate, JSON Web Token. Seriously consider these technologies to gain a strategic advantage.
  • The technologies who are at the peak of their interest are OneLogin, JSON Web Token, ForgeRock.
  • By far most employment needs are found in the Active Directory, LDAP, Identity management technologies.
  • These 3 fields have the most active practitioners who have the specific skill set or experience: Active Directory, LDAP, Identity management.
  • LastPass, LDAP, Active Directory lead in searches for information online.
  • These three technologies are receiving the highest investments to gain clients: Identity management systems, Identity management, Single sign-on.
  • These three technologies have the most active advertisers: Identity management systems, Identity management, Single sign on.
  • In patents, these three technologies have the most coverage LDAP, Mozilla Persona, Single sign-on.
  • The most publications are available for Active Directory, Single sign-on, Single sign on.
  • Instruction and courseware availability is highest in these technologies: COPPA, Active Directory, Single sign-on.

The Auth0 report evaluates technologies and applications in terms of their business impact, adoption rate and maturity level to help users decide where and when to invest.

The Predictive Analytics Scores below – ordered on Forecasted Future Needs and Demand from High to Low – shows you Auth0’s Predictive Analysis. The link takes you to a corresponding product in The Art of Service’s store to get started.

The Art of Service’s predictive model results enable businesses to discover and apply the most profitable technologies and applications, attracting the most profitable customers, and therefore helping maximize value from their investments. The Predictive Analytics algorithm evaluates and scores technologies and applications.

The platform monitors over ten thousand technologies and applications for months, looking for interest swings in a topic, concept, technology or application, not just a count of mentions. It then makes forecasts about the velocity of the interest over time, with peaks representing it breaking into the mainstream. Data sources include trend data, employment data, employee skills data, and signals like advertising spent, advertisers, search-counts, Instruction and courseware available activity, patents, and books published.

Predictive Analytics Scores:

000615 – ForgeRock
000544 – PingFederate
000539 – JSON Web Token
000476 – OneLogin
000380 – NetIQ Access Manager
000358 – Active Directory Federation Services
000314 – Bitium
000303 – Single sign on
000185 – OpenIDM
000177 – OpenAM
000173 – OpenDJ
000151 – LastPass
000148 – IdentityServer
000148 – Auth0
000146 – Oracle Identity Management
000141 – FreeIPA
000124 – WSO2
000089 – Imprivata
000086 – Identity management
000083 – Microsoft account
000072 – SinglePlatform
000069 – Social login
000068 – OpenID
000059 – Single sign-on
000057 – Facebook Connect
000047 – Wunderlist
000029 – JOSSO
000027 – Janrain
000022 – Active Directory
000021 – COPPA
000007 – Central Authentication Service
000000 – ZXID
000000 – Ubuntu Single Sign On
000000 – Sineron
000000 – Revel Systems POS
000000 – OpenAthens
000000 – OneAll
000000 – NetIQ
000000 – MyOneLogin
000000 – Mozilla Persona
000000 – LoginRadius
000000 – LemonLDAP
000000 – LDAP
000000 – Identity management systems
000000 – CompuCal


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