Easilee, LLC – Virtual Computing for Professional Services (Data Analysis & Marketing)

Customer Business Problem / Pain Points:

1. Need for Amazon EC2 – Elastic Compute Cloud for Data Analysis

   • Limited local computing power – Existing workstations lacked the capacity to efficiently run advanced data models, simulations, or concurrent analysis tasks.
   • Scalability constraints – No agile way to scale resources up or down as workloads fluctuate.
   • Inconsistent availability – Hardware crashes and a lack of redundancy reduced continuity during client reporting deadlines.
   • Geographic limitations – Inability to remotely access computing environments when collaborating with distributed teams.

2. Need for Amazon S3 – Secure Storage for Reliable Data Access

   • Data security risks – Sensitive marketing and analytics data stored on unencrypted local drives posed risks of unauthorized access or breaches.
   • Storage capacity limits – Growing datasets (e.g., historical campaigns, customer lists) overwhelmed costly local storage.
   • Accessibility issues – Location-bound storage hindered file sharing and retrieval, especially in remote or hybrid work setups.
   • Backup and recovery delays – No automated versioning or recovery mechanisms increase the risk of permanent data loss.

Solution:

We designed a new AWS cloud architecture tailored to Easilee’s professional services needs:

• Amazon EC2 instances for advanced data analysis and simulations
• Amazon S3 for centralized, secure, and scalable file storage with automated versioning and recovery
• Robust security framework including encryption, access controls, and monitoring aligned with HIPAA requirements

Outcome:

Easilee achieved measurable results:

• ~40% faster application response times
• 20% reduction in infrastructure costs
• Greater operational continuity with automated backups and zero unplanned downtime
• Enhanced data security and accessibility, enabling remote collaboration without barriers