Sterling, 20164, VA,
United States
Zidisha Technographics
Zidisha Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Zidisha and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 100 Zidisha employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Zidisha has purchased the following applications: Stripe Payments for Payment Processing in 2016, DataRobot Cloud for ML and Data Science Platforms in 2017, Google Workspace (Formerly Google G-Suite) for Collaboration in 2013 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Zidisha is running and its propensity to invest more and deepen its relationship with Stripe , DataRobot , Sift Science 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 Zidisha revenues, which have grown to $625.0 million 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 Zidisha 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.
Zidisha Tech Stack and Enterprise Applications
Zidisha ERP
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Stripe | Legacy | Stripe Payments | Payment Processing | ERP | n/a | 2016 | 2016 |
In 2016 Zidisha implemented Stripe Payments for Payment Processing to handle online donation and payment collection on its public website in the United States. Stripe Payments was used as the primary payment capture and checkout layer for web-based contributions and payer transactions.
The implementation focused on embedding Stripe Payments into the site checkout, employing client-side tokenization and server-side event handling to reduce PCI exposure and support card and electronic payment methods. Functional capabilities implemented include secure payment capture, payment method token management, webhook-driven event notifications for payment lifecycle events, and hosted or embedded checkout flows to streamline donor payments.
Operational responsibility was centered on the finance and fundraising functions along with web engineering for integration and monitoring. Governance emphasized transaction event reconciliation and webhook processing to feed internal reconciliation workflows, with the Stripe Payments integration operating as the payment processing backbone for Zidisha web transactions.
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Zidisha AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| DataRobot | Legacy | DataRobot Cloud | ML and Data Science Platforms | AI Development | n/a | 2017 | 2018 |
In 2017 Zidisha implemented DataRobot Cloud as its ML and Data Science Platforms solution to accelerate underwriting and loan application screening. Two Zidisha executives with no formal data science training developed and deployed machine learning models that radically improve the loan application and screening processes fundamental to Zidisha’s microloan operations.
The deployment leveraged DataRobot Cloud capabilities for automated model building, automated feature engineering, model selection, validation, and production scoring to move predictive workflows from experimentation into repeatable operational use. Zidisha used DataRobot Cloud for supervised classification workflows aligned to credit risk and eligibility decisions, and for model management across training and scoring cycles.
Operational scope focused on loan operations and underwriting, embedding predictive scoring into application screening and shifting decision governance toward program executives and lending teams. The Zidisha implementation illustrates how DataRobot Cloud within ML and Data Science Platforms enabled nontechnical leaders to own model lifecycle activities and integrate predictive models into core loan screening business functions, resulting in models that radically improve the loan application and screening processes.
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ML and Data Science Platforms | AI Development |
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2020 | 2020 |
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Zidisha Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Workspace (Formerly Google G-Suite) | Collaboration | Collaboration | n/a | 2013 | 2013 |
In 2013, Zidisha deployed Google Workspace (Formerly Google G-Suite) as its primary Collaboration platform. The deployment is observable on the organization website and reflects a cloud-hosted, domain-managed collaboration environment used to support staff productivity, email, and document collaboration across the nonprofit.
Google Workspace (Formerly Google G-Suite) was configured to provide standard Collaboration capabilities, including Gmail for organizational email, Google Drive and Google Docs for shared document creation and storage, Google Calendar for scheduling, and the Google Admin console for user provisioning and domain management. The implementation supports business functions such as operations, fundraising, and program coordination through shared workspaces and calendar orchestration, and it relies on centralized account administration and cloud-native architecture for ongoing user and access governance.
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Zidisha CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Marketing Analytics | CRM |
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2014 | 2014 |
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Zidisha PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Transactional Email | PaaS |
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2014 | 2014 |
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Transactional Email | PaaS |
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2017 | 2017 |
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Zidisha IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Content Delivery Network | IaaS |
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2017 | 2017 |
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Zidisha CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Identity and Access Management (IAM) | CyberSecurity |
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2021 | 2021 |
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IT Decision Makers and Key Stakeholders at Zidisha
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| Founder and Director | Director | Finance | ||||
| CTO | CXO | Finance |
Apps Being Evaluated by Zidisha Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||