New York, 10010, NY,
United States
DemystData Technographics
DemystData Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by DemystData and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 70 DemystData employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that DemystData has purchased the following applications: DataRobot Cloud for ML and Data Science Platforms in 2017, Google Workspace (Formerly Google G-Suite) for Collaboration in 2015, ButterCMS for Web Content Management in 2020 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems DemystData is running and its propensity to invest more and deepen its relationship with DataRobot , Google , ButterCMS 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 DemystData revenues, which have grown to $10.0 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 DemystData 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.
DemystData Tech Stack and Enterprise Applications
DemystData 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, DemystData implemented DataRobot Cloud, adopting a ML and Data Science Platforms solution to accelerate its modeling lifecycle within the Banking and Financial Services context. The deployment targeted the companys central analytics and data science functions and was positioned to shift technical effort from repetitive data preparation toward model development work.
DataRobot Cloud was configured to provide automated model training and selection capabilities typical of ML and Data Science Platforms, including high‑velocity model iteration, algorithm ensembling, and automated evaluation workflows. The implementation emphasized automated experimentation, allowing the platform to iterate through hundreds of candidate models and surface top-ranked models for review, which standardized modeling pipelines and reduced manual trial and error.
Operational coverage centered on DemystDatas data science team and related analytics stakeholders, who used DataRobot Cloud as a centralized modeling superpower. The platform consolidated model building and validation into a single cloud-hosted environment, enabling consistent feature handling and repeatable model evaluation across projects while preserving data-centric workstreams.
The stated outcome from DemystData leadership was a material reallocation of effort, captured in the clients comment that with DataRobot their team could focus all their time on the data because the tool automated the model iteration process. According to the case study, DataRobot Cloud reduced time spent on cleaning common variable sets and on manually testing model combinations, enabling faster experimentation and broader model coverage by the data science organization.
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DemystData Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Workspace (Formerly Google G-Suite) | Collaboration | Collaboration | n/a | 2015 | 2015 |
In 2015 DemystData deployed Google Workspace (Formerly Google G-Suite) as its primary Collaboration platform. The deployment centralized enterprise email, calendaring, document collaboration and cloud storage using Gmail, Calendar, Drive, Docs, Meet and the Google Admin console to support companywide communication and content workflows. The implementation was provisioned for approximately 70 employees across the United States and targeted core business functions including data science, engineering, product and commercial teams.
Configuration focused on tenant and domain management through the Google Admin console, group based access controls and shared drives to establish corporate file taxonomy and collaboration spaces. Standard Collaboration capabilities such as real time document editing, shared calendars and virtual meetings were enabled to support cross functional coordination and knowledge capture. Governance centered on centralized user provisioning, administrative policy enforcement and account security controls to manage users and corporate data within the Google Workspace (Formerly Google G-Suite) environment.
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DemystData Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| ButterCMS | Legacy | ButterCMS | Web Content Management | Content Management | n/a | 2020 | 2020 |
In 2020, DemystData implemented ButterCMS to manage content on its public website. ButterCMS is deployed as the company Web Content Management platform for site pages and blog content.
The implementation configured ButterCMS as an API-driven headless content repository, leveraging content modeling, page templates, and a blog module to author and publish marketing and product content. Editorial features in use include role-based authoring, scheduled publishing, and media asset management to support structured content workflows.
Operational responsibility rests with marketing and product teams, who operate the editorial workflows and content governance for the corporate website. Front-end consumption is handled through API calls to ButterCMS from the website, enabling separation of content management and presentation and simplifying ongoing content updates.
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DemystData CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Account Based Marketing | CRM |
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2022 | 2022 |
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DemystData IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Hosting and Computing Services | IaaS |
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2016 | 2016 |
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Application Hosting and Computing Services | IaaS |
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2018 | 2018 |
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Cloud Storage | IaaS |
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2015 | 2015 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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IT Decision Makers and Key Stakeholders at DemystData
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| Vice President, Data Product Strategy | VP | IT | ||||
| SVP, Product and Solutions | VP | R&D |
Apps Being Evaluated by DemystData Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||