Help Desk PREDICTIVE ANALYTICS REPORT

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ANALYSIS

What You Need to Know

  • Breakouts in the Help Desk predictive analytics are mHelpDesk, Servicenow, Cherwell Software. Seriously consider these technologies to gain a strategic advantage.
  • The technologies who are at the peak of their interest are Jira (software), Redmine, Microsoft Dynamics CRM.
  • By far most employment needs are found in the Oracle Database, Team Foundation Server, Servicenow technologies.
  • These 3 fields have the most active practitioners who have the specific skill set or experience: Hewlett-Packard, Oracle Database, Microsoft Visual Studio.
  • Redmine, LiveChat, Microsoft Visual Studio lead in searches for information online.
  • These three technologies are receiving the highest investments to gain clients: Help desk software, mHelpDesk, Rational Software.
  • These three technologies have the most active advertisers: Microsoft Dynamics CRM, Live Chat Software, Bug tracking system.
  • In patents, these three technologies have the most coverage Hewlett-Packard, Service level agreement, Jira (software).
  • The most publications are available for Representational State Transfer, Hewlett-Packard, Service level agreement.
  • Instruction and courseware availability is highest in these technologies: Hewlett-Packard, Microsoft Visual Studio, Microsoft Dynamics CRM.

The Help Desk 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 Help Desk’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:

001064 – mHelpDesk
000344 – Servicenow
000224 – Cherwell Software
000215 – Microsoft Dynamics CRM
000194 – Atlassian
000191 – Jira (software)
000178 – SolarWinds
000148 – Team Foundation Server
000144 – Teamwork (software)
000127 – HP Application Lifecycle Management
000110 – Targetprocess
000073 – LiveChat
000072 – OpenID
000072 – BigTable
000071 – Axosoft
000067 – IBM Rational Team Concert
000065 – Subversion (software)
000064 – Pivotal Tracker
000055 – Live Chat Software
000054 – Redmine
000050 – Microsoft Visual Studio
000041 – OTRS
000039 – Perforce
000038 – Oracle Database
000030 – Spiceworks
000028 – Service level agreement
000022 – Firewall (networking)
000020 – Assembla
000017 – Representational State Transfer
000011 – PVCS
000002 – GLPI
000000 – ZOHO Corporation
000000 – Usersnap
000000 – Surround SCM
000000 – StarTeam
000000 – Seapine Software
000000 – Rational Software
000000 – Planbox
000000 – Microsoft Visual SourceSafe
000000 – MediaWiki
000000 – Mantis Bug Tracker
000000 – IBM Rational ClearCase
000000 – Hewlett-Packard
000000 – Help desk software
000000 – Darcs
000000 – Bug tracking system
000000 – Bazaar (software)
000000 – Automation Centre
000000 – Apache Software Foundation
000000 – Affero General Public License


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