Control - Six Sigma project - Database performance Improvement by Nirav Shah

1. 1.
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Nirav Shah (GB)
Improve UATIMNG
database performance
Dushyant Mohanty (TCS - sponsor)
V, Ms. Vijayalakshmi (MBB)
Nilesh Talele (BB)
Pierre Banroques (GB - sponsor)

2. 2.
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Data Collection & MSAControl
Step 10
Data Collection
Data Collection after Implementation

3. 3.
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Data Collection & MSAControl
Step 10
MSA Findings
2.47% Gage R & R for the query execution found. That is acceptable.
Guage R & R
MSA Worksheet

4. 4.
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New Process CapabilityControl
Step 11
Sigma Calculator
New Process Capability Calculations

5. 5.
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Control
Step 11
Process Monitoring
Before Implementation
After Implementation
After ImplementationBefore Implementation

6. 6.
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Process MonitoringControl
Step 12
Control Chart for Avg Query Execution time

7. 7.
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Process Monitoring
Control
Step 12
Stat pack Report (After Implementation)
Stat pack Report (Before Implementation)
Statpack Report
(Before Implementation
Row Chaining:
File sequential read :
Row Chaining
Statpack Report
(After Implementation

8. 8.
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Process Control Plan
Control
Documentation Monitoring Resource Plan
Plan for doing the work Checking the work The response to special causes
database is checked for storage
parameters ,chaining and fragments.
Deployment Flow Chart Key Process &
Output Measure
Monitoring
Standards
Response
time for
reporting
Queries
Query
should
execute
within 70
secs.
Check
row
chaining
daily
through
automate
d scripts
Create a
automated
scripts
provides
alerts on
regular basis
Containment
Procedure for
Process
Adjustment
Procedure for
System
Improvement
Method for
Recording
Data
Use the
data
collection
template
Observe
statspack
report and
adjust
database
storage
parameters
Database objects defragmented and Row
chaining removed. SQL is checked and
fired on the database.
Users get results for a faster response
time
Application team gives request for
slowness of queries .
Users execute Reporting queries on the
database
BUSINESS USER
DEVELOPEMENT TEAM
BUSINESS USER
DBA

9. 9.
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• Monitor database object fragmentation every
weekly/biweekly.
• Monitor statspack report.
• Monitor Query response time and report to
DBA in case query consumes longer time.
Benefits from the project
• Effective utilization of resource
• Better response time
• Low Wait time
Savings from the project
• Indirect Annual Gross Benefit 9735 GBP
• The approach will be replicated on the
production database of iManage & other
databases.
• Nirav has conducted a Quality project on
performance on iManage UAT database.
Thanks to continue monitoring and
implement the same in Production.
Control/Response Plan HighlightsControl/Response Plan Highlights Benefits of Project & Customer SpeakBenefits of Project & Customer Speak
Sigma Levels/ImprovementSigma Levels/Improvement Communication & TranslationCommunication & Translation
Statistic Before After
Mean 192.7
Sec
15 Sec
Std. Dev 5.47
Sec
1.50
Sec
Summary
Control
Step 12
Client Approval mail

10. 9.
TCS GE Confidential
• Monitor database object fragmentation every
weekly/biweekly.
• Monitor statspack report.
• Monitor Query response time and report to
DBA in case query consumes longer time.
Benefits from the project
• Effective utilization of resource
• Better response time
• Low Wait time
Savings from the project
• Indirect Annual Gross Benefit 9735 GBP
• The approach will be replicated on the
production database of iManage & other
databases.
• Nirav has conducted a Quality project on
performance on iManage UAT database.
Thanks to continue monitoring and
implement the same in Production.
Control/Response Plan HighlightsControl/Response Plan Highlights Benefits of Project & Customer SpeakBenefits of Project & Customer Speak
Sigma Levels/ImprovementSigma Levels/Improvement Communication & TranslationCommunication & Translation
Statistic Before After
Mean 192.7
Sec
15 Sec
Std. Dev 5.47
Sec
1.50
Sec
Summary
Control
Step 12
Client Approval mail