DEBUG: PAGE=domain, TITLE=Wealth & Asset Management,ID=1440,TEMPLATE=subprogram
toggle expanded view
programcode = BANWAM
programid = 160
database = t
alerts = t
neat = t
vendors = t
forecasting = t
confidence = f
definitions = t

Search within: Wealth & Asset Management:

Access our analyst expertise:

Only NelsonHall clients who are logged in have access to our analysts and advisors for their expert advice and opinion.

To find out more about how NelsonHall's analysts and sourcing advisors can assist you with your strategy and engagements, please contact our sales department here.

Subscribe to blogs & alerts:

manage email alerts using the form below, in order to be notified via email whenever we publish new content:

has Database = t

Contracts Database

for Wealth & Asset Management

Track the pattern of service adoption by monitoring Wealth & Asset Management contract awards by your peers. Identify who are the successful vendors this industry now. Updated monthly!

These documents are available to logged in clients that have purchased access to this program.

has Confidence = f -- IGNORED

FortressIQ - Process Discovery & Mining Technology Evaluation 2021

Vendor Analysis

by Bailey Kong

published on Jul 02, 2021

Access to this report is restricted to logged in clients with access. Login to get full access

Report Overview:

This NelsonHall assessment analyzes FortressIQ’s offerings and capabilities in Process Discovery & Mining Technology Evaluation

Who is this Report for:

NelsonHall’s Process Discovery & Mining Technology Evaluation, provides an assessment of FortressIQ’s process discovery & mining platform designed for:

  • Sourcing managers monitoring the capabilities of existing suppliers of Process Discovery & Mining platforms and identifying vendor suitability for RFPs
  • Process reengineering and RPA and intelligent automation center of excellence personnel evaluating process discovery & mining platform capability
  • Vendor marketing, sales, and business managers looking to benchmark their platforms against their peers
  • Financial analysts and investors covering intelligent automation and process discovery & mining platforms.

Scope of this Report:

The report provides a comprehensive and objective analysis of FortressIQ’s process discovery and mining capabilities, covering Process Intelligence’s functionality for:

  • Data collection and extraction
  • Process analysis
  • Process improvement
  • Process monitoring
  • Corrective action enablement
  • Administration.

This report also assesses FortressIQ’s product development strategy and strengths and challenges.

Key Findings & Highlights:

FortressIQ aims to unlock the potential of workforces using its process discovery solution, Process Intelligence. Privacy and security are major considerations of the solution's development. Firstly, the company has architected it to ensure client data never leaves the client network. Secondly, it has developed an Event API layer allowing external systems and business rules to trigger desktop observations by desktop sensors that reduce privacy and security risks compared to continuous monitoring solutions.

Beyond its standard solution, FortressIQ also offers modules that package together dashboards, reports, workflows, application accelerators, goals, and KPIs catered for use cases. It currently offers a module for application migration and is working on another one for mergers & acquisitions (M&A). FortressIQ also has partners who are developing ones for revenue cycle management, and compliance and audit.

The company has a small but focused partner network, with technology partners who provide solutions that bring more contextual process data and enable clients to act on its insights. 90% of FortressIQ’s engagements involve partners who bring domain and sector expertise.

FortressIQ targets large enterprises with $1bn+ revenues; it is in 4 Fortune 10 companies, and 75% of its client base is in the Fortune 500.

FortressIQ previously targeted contact center work, but it now makes up less than 25% of its business.

Login to get full access:

close