Digital Transformation

Performance Tuning and Reporting Acceleration

Analyzing and upgrading IT infrastructure and data processing to enhance system performance and accelerate management reporting.

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Performance Tuning and Reporting Acceleration

Service Overview

Performance Tuning and Reporting Acceleration

System slowness and instability generate both direct and indirect operational costs, such as delayed financial closings, slow response to users and customers, disrupted recurring processes, repeated downtime, and increased manual interventions. Performance tuning represents the fastest and most effective way to restore operational capacity without a full system redesign. Our service focuses on delivering measurable results before and after intervention, restoring confidence in systems, reducing incidents, and ensuring business deadlines are met.

We identify the root causes of system and reporting delays, such as inefficient database queries, suboptimal use of cloud resources, or complex report designs. Performance is then enhanced through:

- Database optimization via query tuning and indexing.
- Application code optimization to boost efficiency.
- Advanced solutions such as OLAP cubes and in-memory data processing technologies.

Our goal is to significantly reduce system response times and accelerate the generation of daily and monthly reports from hours to minutes, enhancing user productivity, increasing satisfaction, and enabling the organization to make faster, more accurate decisions.

Required Documents

List of the slowest reports, screens, and jobs (with business priority)
Baseline timings (current runtimes, frequency, peak periods)
Access to performance evidence (database performance reports, job history, error logs)
Samples of problematic queries, procedures, and report definitions
Data volumes and growth trends (table sizes, daily transaction counts)
Constraints and targets (batch window, response time targets, availability requirements)
Acceptance criteria for success (target runtimes, stability KPIs)

What's Included

Performance Baselining

Establish current performance benchmarks by measuring execution times, frequency, and peak usage periods.

Workload Analysis

Analyze usage patterns, critical jobs, and slow reports to prioritize optimization efforts.

Query and Execution Plan Tuning

Optimize high-impact queries and review execution plans to eliminate bottlenecks.

Indexing Strategy

Design or redesign indexes to improve read/write performance and reduce costly scans.

Nightly Batch Window Optimization

Reschedule or break down slow jobs to ensure completion within the available batch window.

Financial and Operational Reporting Acceleration

Redesigning report workflows and definitions to reduce extraction and aggregation time and enhance reliability.

Tuning Pack and Sustainability

Deliver a documented tuning pack detailing changes, reasons, and maintenance guidelines, along with a roadmap for future improvements.

Service Execution Steps

1
Definition & Preparation

- Collect a list of the slowest reports, screens, and jobs with business priorities.
- Document baseline performance metrics (execution times, frequency, peak periods).
- Provide access to performance evidence (DB performance reports, job history, error logs).
- Gather samples of problematic queries, procedures, and report definitions.
- Identify data volumes, growth trends, and constraints (batch window, response time targets).

2
Diagnosis & Analysis

- Analyze workloads and identify bottlenecks across application, database, and reporting layers.
- Review problematic queries and execution plans.
- Assess current indexing strategy and its effectiveness.

3
Quick Wins & Design

- Apply quick fixes: query hints, rewrites, parameter adjustments.
- Design an optimized indexing strategy (create/remove/rebuild indexes).
- Reschedule or split heavy jobs to reduce batch window pressure.

4
Redesign Slow Flows

- Redesign ETL and reporting flows with high impact (pre-aggregation, staging tables).
- Optimize financial and reconciliation reports to reduce exceptions and improve reliability.

5
Testing & Quality Assurance

- Conduct functional and performance tests: response times, batch completion, stability.
- Validate against acceptance criteria (target runtimes, stability KPIs).

6
Launch & Handover

- Deploy improvements in phases to minimize risk.
- Deliver the tuning pack: what changed, why, and how to sustain improvements.

7
Continuous Improvement

- Monitor performance regularly and maintain a prioritized roadmap for future tuning as data grows.
- Conduct monthly or quarterly reviews to measure impact and adjust strategy.

Service Benefits

Shorter batch windows and more reliable nightly processing
Faster finance and reconciliation reporting with fewer exceptions
Reduced timeouts and recurring incidents through root-cause tuning
A documented tuning pack (what changed, why, and how to sustain it)
A prioritized roadmap for future optimization as data grows