Stone Mountain, 30083-1120, GA,
United States
Mud Pie Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Mud Pie and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 82 Mud Pie employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Mud Pie has purchased the following applications: Sparkflow for Analytics and BI in 2018, Google Workspace (Formerly Google G-Suite) for Collaboration in 2022, Amazon EC2 for Application Hosting and Computing Services in 2022 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Mud Pie is running and its propensity to invest more and deepen its relationship with Sparkflow , Google , Amazon Web Services (AWS) 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 Mud Pie revenues, which have grown to $8.0 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 Mud Pie 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.
Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Sparkflow | Legacy | Sparkflow | Analytics and BI | Analytics and BI | n/a | 2018 | 2018 |
In 2018, Mud Pie implemented Sparkflow to support Analytics and BI use cases by unlocking ERP data and providing business users with self-service ETL capabilities. The deployment targeted sales and inventory reporting workflows and was scoped to operations in the United States, with Sparkflow positioned as the front-end data preparation and analytics layer for ERP-derived datasets.
The implementation emphasized ERP analytics and sales and inventory reporting capabilities, inferred from the vendor testimonial describing ERP unlocking and self-service ETL. Business users used Sparkflow’s web-based UI to add fields, configure ETL processes, and refine reporting logic without requiring engineering intervention, which centralized data modeling and reduced handoffs between IT and reporting teams. Configuration focused on user-driven field additions, data extraction and transformation steps, and report-ready data sets for downstream consumption.
Integration work centered on extracting transactional and master data from the company ERP into Sparkflow’s environment, preserving source structure while enabling transformation in the platform. Operational coverage included sales and inventory functions, and governance shifted toward empowering business teams to own routine data preparation tasks through the Sparkflow UI, improving agility for sales and inventory reporting in the United States as stated by the customer testimonial.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Workspace (Formerly Google G-Suite) | Collaboration | Collaboration | n/a | 2022 | 2022 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Amazon Web Services (AWS) | Legacy | Amazon EC2 | Application Hosting and Computing Services | IaaS | n/a | 2022 | 2022 |
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Application Hosting and Computing Services | IaaS |
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2022 | 2022 |
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Cloud Storage | IaaS |
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2013 | 2013 |
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