mission critical Analytics for Public Sector
Transform Data into
Actionable Intelligence
Trusted by Leading Government Agencies
Trusted by Leading
Enterprises
public sector challenges
Slow Decision-Making
Agencies struggle to turn vast data into actionable intelligence, delaying decisions and reducing operational effectiveness.
Security and Compliance
Legacy systems expose sensitive data to increasing cyber threats, making it challenging to meet security standards and protect information.
Escalating Costs
Outdated infrastructure increases costs and inefficiencies, diverting resources from critical missions and modernization efforts.
Scalability Challenges
Growing data volumes, the rise of edge and AI use case strain legacy systems, limiting agencies' ability to scale and adapt.
public sector
challenges
Slow Decision-Making
Agencies struggle to turn vast data into actionable intelligence, delaying decisions and reducing operational effectiveness.
Security and Compliance
Legacy systems expose sensitive data to increasing cyber threats, making it challenging to meet security standards and protect information.
Escalating Costs
Outdated infrastructure increases costs and inefficiencies, diverting resources from critical missions and modernization efforts.
Scalability Challenges
Growing data volumes, the rise of edge and AI use cases strain legacy systems, limiting agencies' ability to scale and adapt.
yellowbrick’s strengths
Real-time Analytics
Migrate from outdated platforms with up to 100x performance improvements and real-time analytics, turning IoT and other data into actionable intelligence.
Battle-tested Security
Maintain full control over data in the public cloud, including GovCloud, on-premises, edge, or hybrid multi-cloud, with Yellowbrick’s Private Data Cloud and IL4/5/6 and FIPS 140-2 compliant AES-256 encryption.
Cost Efficiency
Scale with predictable performance and costs, reduce data center footprints (if on-premises), and free up resources for mission-critical operations.
Future-Proof
Hybrid multi-cloud design enables agencies with a flexible infrastructure that supports secure, integrated operations for new edge and AI use case.
yellowbrick’s
strengths
Real-time Analytics
Migrate from outdated platforms with up to 100x performance improvements and real-time analytics, turning IoT and other data into actionable intelligence.
Battle-tested Security
Maintain full control over data in the public cloud, including GovCloud, on-premises, edge, or hybrid multi-cloud, with Yellowbrick’s Private Data Cloud and IL4/5/6 and FIPS 140-2 compliant AES-256 encryption.
Cost Efficiency
Scale with predictable performance and costs, reduce data center footprints (if on-premises), and free up resources for mission-critical operations.
Future-Proof
Hybrid multi-cloud design allow agencies to embrace the cloud with flexible infrastructure that supports secure, integrated operations for new edge and AI use cases.
case study
How NAVSUP Modernized Petabyte-Scale Data Platforms with Yellowbrick
Problem
NAVSUP faced challenges modernizing legacy data platforms as part of a broader cloud migration strategy. Existing infrastructure couldn’t efficiently process the growing volume of data, impacting decision-making and operational efficiency.
Solution
Yellowbrick provided a unified data experience across cloud and on-premises environments, enabling faster data ingest, processing, and reporting in line with the DoD’s goals of integrating advanced analytics with cloud solutions to optimize operations.
Results
NAVSUP reduced its data center footprint, lowered energy consumption, and streamlined data operations, positioning itself for future cloud expansion, aligning with the DoD’s emphasis on modernizing infrastructure while ensuring cost-efficiency and operational readiness.
solution briefs
Load and Query
Concurrently
Run analytics and data engineering together without conflict or complex orchestration.
Streaming
Ingestion
Stream, ETL, and query in the same database. Avoid multiple solutions.
Elastic
Scale
Handle unlimited concurrency, multi-tenancy, AI complexity or massive volumes.
solution briefs
Load & Query Concurrently
Run analytics and data engineering together without conflict or complex orchestration.
Streaming Ingestion
Stream, ETL, and query in the same database. Avoid multiple solutions.
Data Residency & Security
Have absolute confidence in where data is located and processed.
Elastic Scale
Handle unlimited concurrency, multi-tenancy, AI complexity or massive volumes.
trusted migration process
DEDICATED YELLOWBRICK CUSTOMER SUCCESS TEAM
STEP 1:
Information Transfer & Assessment
Objective: Gather necessary information and evaluate the customer’s environment.
Action: Transfer details from the account team and validate workflow, architecture, and data sources (ETL, BI tools).
Outcome: A complete understanding of the customer’s environment and migration components.
STEP 2:
Build Migration Inventory
Objective: Identify all components involved in the data migration process.
Action: Compile an inventory of objects, views, schemas, stored procedures, tables, roles, UDFs, etc.
Outcome: A comprehensive list of components required for migration.
STEP 3:
Define Migration Path & Success Criteria
Objective: Establish the migration approach and define success metrics.
Action: Choose between Lift & Shift, object mapping, or code refactoring, and agree on functionality and performance targets.
Outcome: A clear migration strategy and defined success criteria.
STEP 4:
Plan, Execute & Validate Migration
Objective: Plan, perform, and validate the migration, ensuring data integrity and performance standards.
Action: Assign tasks, run Yellowbrick in parallel, and validate data consistency and performance under all conditions.
Outcome: Migration is executed, with successful data validation and performance targets met.
