Sunnyvale, 94085, CA,
United States
Linkedin Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Linkedin and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 18000 Linkedin employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Linkedin has purchased the following applications: FIS GETPAID for AR Automation in 2015, Greenhouse ATS for Applicant Tracking System in 2020, Oracle OBIEE for Analytics and BI in 2014 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Linkedin is running and its propensity to invest more and deepen its relationship with FIS Global , SAP , Workday or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Linkedin revenues, which have grown to $17.80 billion in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Linkedin intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| FIS Global | Legacy | FIS GETPAID | AR Automation | ERP Financial Management | n/a | 2015 | 2015 |
In 2015, LinkedIn implemented FIS GETPAID to centralize accounts receivable processes for its Advertising Business. FIS GETPAID was provisioned as an AR Automation platform and was configured to support Revenue Recognition, Billing, Credit and Collections for advertising revenue streams.
The implementation included core FIS GETPAID capabilities for invoice generation and billing logic, automated revenue recognition schedules, credit decisioning workflows, and collections case management. Configuration emphasized advertising-specific billing rules and revenue schedule generation to support month-end and period close activities.
FIS GETPAID was integrated with LinkedIn's Oracle ERP to synchronize customer master records, post AR ledger entries, and deliver revenue recognition journal entries into the general ledger. Operational coverage included finance and revenue operations, with daily transaction processing performed by billing, credit, and collections teams serving the Advertising Business.
A subject matter expert maintained the financial applications footprint across Oracle ERP and FIS GETPAID, establishing configuration governance, reconciliation controls, and approval workflows. Implementation governance structured invoice issuance, credit holds, and collections escalation to align operational activities with corporate finance controls.
|
|
|
|
|
ERP Financial | ERP Financial Management |
|
2019 | 2020 |
|
|
|
|
|
Expense Management | ERP Financial Management |
|
2012 | 2012 |
|
|
|
|
|
Expense Management | ERP Financial Management |
|
2012 | 2013 |
|
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Greenhouse | Legacy | Greenhouse ATS | Applicant Tracking System | HCM | n/a | 2020 | 2020 |
In 2020, LinkedIn implemented Greenhouse ATS as an Applicant Tracking System to centralize hiring and onboarding workflows across People Operations and hiring managers. The deployment focused on core candidate lifecycle management and interview orchestration for a 18000 employee organization.
Greenhouse ATS was configured to manage candidate tracking, structured interview scorecards, offer letter assembly, and onboarding workflow orchestration. Configuration emphasized standardized scorecard templates and offer letter templates to support full cycle hiring activities including screening, collaborating with hiring managers, and assembling offers.
Operational coordination extended beyond People Operations to include external vendors, with Insperity PEO handling new hire communications and an external IT support company used to streamline onboarding standard operating procedures. The implementation supported onboarding, offboarding, orientation facilitation, job description maintenance, and employee data documentation workflows.
Governance included enforcement of interview scorecard submission, co facilitation of new hire orientations by People Operations, and regular updates to HR policies and role descriptions. Reported operational outcomes tied to the Greenhouse ATS usage include 94% of interview scorecards submitted, 96% of new hires feeling supported and connected during onboarding, 97% of new hires feeling welcomed, 86% of interviewed candidates reporting a good experience, and a 90% Slack engagement rate for internal communications.
|
|
|
|
|
BackGround Screening | HCM |
|
2019 | 2019 |
|
|
|
|
|
Core HR | HCM |
|
2015 | 2018 |
|
|
|
|
|
Employee Recognition and Rewards Management | HCM |
|
2023 | 2023 |
|
|
|
|
|
Payroll | HCM |
|
2012 | 2017 |
|
|
|
|
|
Performance and Goal Management | HCM |
|
2019 | 2019 |
|
|
|
|
|
Recruiting, Applicant Tracking System | HCM |
|
2014 | 2014 |
|
|
|
|
|
Talent Assessment | HCM |
|
2022 | 2023 |
|
|
|
|
|
Workforce Analytics | HCM |
|
2020 | 2020 |
|
Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Oracle | Legacy | Oracle OBIEE | Analytics and BI | Analytics and BI | n/a | 2014 | 2014 |
In 2014, LinkedIn implemented Oracle OBIEE as an enterprise Analytics and BI platform to consolidate reporting and analytical workflows across corporate functions. Oracle OBIEE was provisioned as the primary BI application for the initiative, with the full application name Oracle OBIEE referenced in platform governance and rollout documentation.
The implementation included a curated semantic layer and metadata repository, a dashboard and ad hoc analysis catalog, and scheduled reporting and distribution capabilities. Configuration work emphasized repository modeling, presentation catalog design, and parameterized analyses to support repeatable business queries and cross-functional reporting needs.
Oracle OBIEE was integrated with a mix of operational and analytical data sources including SQL databases, Essbase financial cubes, Salesforce.com CRM data, Tableau and Microsoft Power BI toolsets for downstream visualization workflows, and GetPaid for monetization data. Data ingestion and transformation routines were implemented to align source schemas with the OBIEE semantic model, enabling consistent dimensional reporting across sales and finance data domains.
Governance focused on a centralized BI team managing the OBIEE semantic definitions, role based access controls, and report lifecycle processes to enforce metadata consistency. Rollout targeted analytics, finance, and sales users with phased access and catalog curation, while operationalizing scheduled extracts and governed metadata to support enterprise reporting produced through Oracle OBIEE.
|
|
|
|
|
Analytics and BI | Analytics and BI |
|
2021 | 2021 |
|
|
|
|
|
Process Mining | Analytics and BI |
|
2011 | 2011 |
|
Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Content Management | Content Management |
|
2020 | 2020 |
|
|
|
|
|
Digital Signing | Content Management |
|
2013 | 2013 |
|
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Customer Experience | CRM |
|
2021 | 2021 |
|
|
|
|
|
Marketing Automation | CRM |
|
2021 | 2021 |
|
|
|
|
|
Sales Automation, CRM, Sales Engagement | CRM |
|
2017 | 2017 |
|
|
|
|
|
Sales Automation, Sales Engagement | CRM |
|
2019 | 2020 |
|
SPM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Incentive Compensation Management | SPM |
|
2016 | 2016 |
|
|
|
|
|
Sales Performance Management | SPM |
|
2023 | 2023 |
|
TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Treasury Management | TRM |
|
2013 | 2013 |
|
|
|
|
|
Whistleblowing Management | TRM |
|
2018 | 2018 |
|
PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
API Management, iPaaS (Integration Platform as a Service) | PaaS |
|
2017 | 2017 |
|
|
|
|
|
Apps Development | PaaS |
|
2019 | 2019 |
|
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Database Management | IaaS |
|
2018 | 2018 |
|
|
|
|
|
Servers, Storage and Networking | IaaS |
|
2013 | 2013 |
|
Professional Services
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
PEO (Professional Employer Organization) | Professional Services |
|
2020 | 2020 |
|
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||