Cloud and Data Foundations

Infinitive’s Cloud & Data Foundations solutions provide world-class data and analytics capabilities in just weeks, accelerating value-driven insights.

Everything You Need...

Cloud Environment

Set up and validation of AWS account structure, scalable storage (AWS S3), network connectivity, and compute services.​

Lakehouse Architechture

Production-ready lakehouse environment designed for performance and scalability.​

Security

Implementation of IAM roles and policies, audit logging, and security protocols (e.g., SSO, MFA).​

Data Pipelines

Metadata-driven pipelines for extracting, transforming, loading, and curating datasets.​

Dashboards

Development of interactive dashboards, providing actionable insights from integrated data.​

Data Governence

Access control, lineage, and data cataloging with Databricks Unity Catalog.​

Expertly Delivered

Fast Deployment

Accelerated with Terraform templates and reusable data pipelines.

Automated Deployment

Consistent and efficient deployment with DevOps pipelines and infrastructure-as-code.

Scalable Design

Designed for future growth with scalable architectures and open-source technologies.

Value-Driven

Focus on high-priority use cases to deliver immediate value.​

Empowering Users

Enablement through shadowing, effective change management, and use of low-code/no-code capabilities to accelerate insights.​

Sustainable

Simplified solutions for improved maintainability and automated tasks to ensure efficiency.​

Cloud and Data Foundations Timeline

Cloud Account & Network Setup​

Set up cloud account structure, VPC subnets, and secure VPN connectivity.​

Cloud Formation Build

Configure storage (e.g., AWS S3), compute services, and automate provisioning (e.g., via Terraform).​

Security Configuration

Define IAM roles, policies, and implement security protocols (SSO, MFA).

Data Discovery & Quality Assessment​

Inventory systems, data, and roles; assess and document data quality.

Data Pipeline Development

Establish lakehouse with medallion architecture and build secure data pipelines.

Dashboard Development

Develop interactive dashboards providing actionable insights from previously siloed data.

Case Study: Student Persistence

Morehouse College sought to build foundational cloud-based analytics capabilities while focusing initially on the high-impact use case of improving student retention.

Challenges

Business:​

  • 75% retention rate is below target, with every 1% improvement estimated to be worth $150k in revenue​

Technical:​

  • Siloed data residing in Student Information System and many supporting systems​
  • Analytics and reporting capabilities of existing systems did not provide needed insights ​
  • Early in data transformation and cloud journey

Solutions

Strategic Data Planning: Collaborated with Morehouse leadership to align data infrastructure with strategic objectives.​

Data Lakehouse: Built on AWS Redshift to integrate data from various sources including Banner and Starfish.​

Analytics and Visualization: Utilized AWS QuickSight for dashboard metrics tracking student success.​

Predictive Modeling: Implemented machine learning models to forecast student persistence and identify at-risk students.

One of ten historically Black universities ​

Located in Atlanta, GA​

2,200+ Full-time Undergraduate Students​

75% Retention Rate​

$51k yearly cost of attendance​

#1 HBCU producer of Rhodes Scholars

Impact

The data-driven approach has equipped Morehouse College with the tools to proactively manage student retention, enhancing their mission to graduate disciplined leaders. The scalable solution not only supports current needs but also adapts to future challenges, demonstrating the power of combining traditional BI with advanced analytics.

PATH TO SUCCCESS

Speak with a Databricks Expert Today.

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