Challenges
03
Wasted Storage & Inconsistent Data
Tables have too many columns and lack a naming standard, causing inefficiency and maintenance issues
04
Poor Error Handling
Cryptic or non-existent error messages cause crashes when invalid data is entered, disrupting user workflow, and requiring restarts.
05
The Indexing Gap
Missing or outdated indexes make accessing data slow. outdated indexes not reflecting current access patterns,
06
Security Enhancements
User passwords are transmitted in plain text, allowing them to be intercepted and misused.
Solutions
Automated Database Analysis
Extracted primary and foreign key constraints, and mapped table relationships to provide a comprehensive view of the database.
Automated Analysis Acceleration
Automated the analysis of stored procedures and table mapping, significantly accelerating the process and overcoming inefficiencies associated with manual analysis in obscure SQL dialects.
Data Normalization
Implemented automatic identification and removal of redundant columns, and split tables into focused structures with standardized column names to enhance storage efficiency and query performance.
Enhanced Error Handling
Improved error handling with clear, actionable messages through automated recommendations, code snippets for specific scenarios, and reviewed existing code for potential weaknesses.
Query Performance Improvement
Enhanced query performance by identifying slow queries, implementing targeted indexes, and analyzing query patterns to update or create indexes on frequently accessed columns.
Indexing Optimization
Optimized indexing by analyzing query patterns to create new indexes and update existing ones for faster data retrieval.
Business Outcomes
Improved Operational Efficiency
Database standardization across multiple systems reduced integration complexities, leading to smoother cross-departmental operations.
Enhanced Data Security
Standardized user access management, encryption, and audit logging improved data protection and compliance with security regulations.
Reduction Storage Cost
Streamlined data with normalization technique and removed redundant columns.
Improved Documentation Efficiency
Improved maintenance efficiency through enhanced schema documentation and robust metadata management.
Faster Query Performance
Enhanced query speed with optimized indexing and refined designs.
Case Studies
Explore how OptiSol has successfully transformed legacy PowerBuilder systems for our clients. Our case studies highlight the effectiveness of our approach, and the measurable benefits realized through our modernization efforts.