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Workiva: Applications & Companies

Workiva, Inc. is a global software-as-a-service (SaaS) company. It provides a cloud-based connected and reporting compliance platform that enables the use of connected data and automation of reporting across finance, accounting, risk, and compliance.

Language: English [EN]
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Workiva topic overview

The analysis highlights Applications and Companies as prominent areas in the source structure around Workiva.

Related topics
20
Source areas
2
Connected nodes
22
Extracted relationships
22
Concept neighborhoods
7
Bridge connections
22

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Applications · 10 topics
Overview · 10 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Founded
2008
Industry
Cloud computing · Computer software · Enterprise software
Headquarters
Ames, Iowa, US
Key people
Julie Iskow (President & CEO) Jill Klindt (CFO) Brandon Ziegler (Legal)
Net income
-$55m (2024)
Number of employees
2,828 (2024)

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Applications

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Workiva connects Entity context

The extracted context around Workiva shows recurring relationship patterns in the source. For example, Workiva → Extensible Business Reporting Language, Inline XBRL, SaaS, SEC, The, Workiva's, XBRL Another extracted example is Workiva → Cloud computing, Computer software, Enterprise software. Use these groups to spot repeated connection types before inspecting the individual relationships.

Workiva

Top relations

has application · 7
Workiva → Extensible Business Reporting Language, Inline XBRL, SaaS, SEC, The, Workiva's, XBRL
Industry · 3
Workiva → Cloud computing, Computer software, Enterprise software
Founded · 1
Workiva → 2008
Headquarters · 1
Workiva → Ames, Iowa, US
Key people · 1
Workiva → Julie Iskow (President & CEO) Jill Klindt (CFO) Brandon Ziegler (Legal)
Net income · 1
Workiva → -$55m (2024)
Number of employees · 1
Workiva → 2,828 (2024)
Revenue · 1
Workiva → $739m (2024)
Services · 1
Workiva → Cloud computing
Total assets · 1
Workiva → $1.4b (2024)

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

reporting company companies platform software data esef global compliance risk wdesk single european sec use 2019 inc acquired also financial

Workiva relationships Subject–Predicate–Object triples

TTTA extracted 22 structured relationships around Workiva. Examples in this analysis include Workiva → Founded → 2008 and Workiva → Headquarters → Ames, Iowa, US. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
WorkivaFounded20081.00infobox
WorkivaHeadquartersAmes, Iowa, US1.00infobox
WorkivaIndustryCloud computing1.00infobox
WorkivaIndustryComputer software1.00infobox
WorkivaIndustryEnterprise software1.00infobox
WorkivaKey peopleJulie Iskow (President & CEO) Jill Klindt (CFO) Brandon Ziegler (Legal)1.00infobox
WorkivaNet income-$55m (2024)1.00infobox
WorkivaNumber of employees2,828 (2024)1.00infobox
WorkivaRevenue$739m (2024)1.00infobox
WorkivaServicesCloud computing1.00infobox
WorkivaTotal assets$1.4b (2024)1.00infobox
WorkivaTotal equity-$41.7m (2024)1.00infobox
WorkivaTraded asNYSE: WK (Class A) Russell 2000 Component1.00infobox
WorkivaTypePublic1.00infobox
WorkivaWebsitewww.workiva.com1.00infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around Workiva bring nearby vocabulary together. In this analysis, examples include Platform, Software and September. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Workiva
    • Platform
    • Software
    • September
    • Company
    • Inc
    • Iskow
    • Julie
    • Legal
    • Acquired
    • Global
    • Accounting
    • Cloud-based
  • workiva
    • Platform
    • Software
    • September
    • Company
    • Inc
    • Iskow
    • Julie
    • Legal
    • Acquired
    • Global
    • Accounting
    • Cloud-based
  • xbrl
    • Sec
    • Esma
    • Also
    • First
    • Including
    • Securities
    • European
    • Single
    • Esef
    • Reporting
    • Platform
    • Companies
  • unstructured data
    • Enterprise
    • Use
    • Companies
    • Risk
    • Platform
    • Cloud
    • Including
    • Reporting
    • Single
    • Esef
    • Workiva
    • Software
  • esma
    • European
    • Single
    • Securities
    • Legal
    • Reporting
    • Xbrl
    • Including
    • Global
    • Sec
    • Platform
    • Workiva
  • sec filings
    • Xbrl
    • Securities
    • September
    • Single
    • Software
    • Workiva
  • municipal securities rulemaking board
    • Single
    • Xbrl
    • Use
    • Sec
    • Wdesk

Connections between topic areas Semantic bridges

For Workiva, one of the stronger structural bridges in this analysis connects Workiva with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
WorkivaOverview · splits 12 ⟂ 11
WorkivaApplications · splits 12 ⟂ 11

Map overview Semantic statistics

Workiva

Nodes23
Edges22
Triples22
Avg. degree1.91
Density0.086957
Components1

Source & methodology

TTTA analyzes the structure around Workiva to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Applications & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Workiva · EN edition · Analysis: TopicsToTalkAbout

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