Washington, 20546, DC,
United States
Kennedy Space Center Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Kennedy Space Center and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 10150 Kennedy Space Center employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Kennedy Space Center has purchased the following applications: Lumina Analytica for Analytics and BI in 2002, Verint Predictive Experience (formerly Verint ForeSee) for Customer Experience in 2021, Amazon S3 for Cloud Storage in 2021 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Kennedy Space Center is running and its propensity to invest more and deepen its relationship with Lumina Decision Systems , Verint Systems , Emplifi 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 Kennedy Space Center revenues, which have grown to $1.91 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 Kennedy Space Center 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 |
|---|---|---|---|---|---|---|---|---|
| Lumina Decision Systems | Legacy | Lumina Analytica | Analytics and BI | Analytics and BI | n/a | 2002 | 2002 |
In 2002, Kennedy Space Center worked with Lumina Decision Systems to implement Lumina Analytica through a Schedule Cost Risk Assessment Model called SCRAM, embedding advanced schedule and cost risk analysis capabilities into program planning workflows. The deployment used Lumina Analytica as an Analytics and BI application to construct realistic probabilistic models of schedule variables, enabling analytic evaluation of task length uncertainty and aggregate schedule risk.
SCRAM was configured to find major sources of delay and cost overrun and to identify schedules that minimize those risks, leveraging scenario modeling and probabilistic analysis capabilities native to Lumina Analytica. The implementation emphasized model-driven identification of critical risk drivers, allowing project teams to test alternative sequencing and duration assumptions within the analytics environment.
Operational coverage focused on Kennedy Space Center program and project scheduling and cost risk functions, with project management and systems engineering stakeholders using the outputs for planning and risk assessment. No specific third party system integrations are reported, the work is described as a direct Lumina Decision Systems engagement to develop the SCRAM model within Lumina Analytica.
NASA regards SCRAM as a significant improvement to the state of the art in schedule and cost risk analysis because it supports realistic modeling of schedule variables where existing risk analysis tools provided constrained and limited modeling capabilities. The narrative centers on embedding model-based risk analysis into schedule and cost assessment practices at Kennedy Space Center, using Lumina Analytica as the Analytics and BI platform.
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Verint Systems | Legacy | Verint Predictive Experience (formerly Verint ForeSee) | Customer Experience | CRM | n/a | 2021 | 2021 |
In 2021, Kennedy Space Center deployed Verint Predictive Experience (formerly Verint ForeSee) to capture visitor feedback and measure online engagement on its public website, positioning the effort within the Customer Experience application category. The implementation targets the center's public-facing web properties and is explicitly scoped to web-based visitor interactions rather than internal operational systems.
Implementation centered on web survey instrumentation, experience analytics, predictive scoring, and dashboarding capabilities available in Verint Predictive Experience. Configuration emphasized page-level survey triggers and experience scoring models, with analytic dashboards configured for trend visualization and task completion signals consistent with Customer Experience workflows.
Integration work was limited to embedding Verint Predictive Experience scripts and survey widgets in site pages so feedback flows directly into the application’s analytic modules and reporting interfaces. Operational ownership and usage are described for digital engagement and visitor experience functions, with governance focused on survey cadence, response handling workflows, and alignment with outreach and communications processes.
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Customer Experience | CRM |
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2021 | 2021 |
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Marketing Analytics | CRM |
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2021 | 2021 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Amazon Web Services (AWS) | Legacy | Amazon S3 | Cloud Storage | IaaS | n/a | 2021 | 2021 |
In 2021, Kennedy Space Center implemented Amazon S3 as part of its Cloud Storage footprint for public-facing web content on nasa.gov. The deployment uses Amazon S3 buckets to provide object storage and direct asset delivery for the Kennedy Space Center website, handling static assets, media files, and versioned content as part of the site content supply chain.
The implementation is scoped to web operations and digital communications for the Kennedy Space Center, integrating Amazon S3 into content publication workflows and automated content deployment processes. Governance is implemented through bucket policies and AWS Identity and Access Management controls to restrict write access and allow public read where required, combined with S3 access logging to support operational monitoring, making the Kennedy Space Center Amazon S3 Cloud Storage deployment a foundational component of its web content infrastructure.
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