Product Data Sheet / Brochure
IndianOil turns to HPE
Datacenter Care to solve
huge database growth issues
India’s national flagship energy company
found exponential growth in database size
was putting enterprise IT infrastructure
under severe pressure from cost,
manageability, performance, and scalability
perspectives. It embarked on an ambitious
database reorganisation and compression
(DRoC) project. It turned to HPE to plan and
execute a successful outcome utilising HPE
Datacenter Care.
Challenge
Fulfilling the “Energy of India” vision
Corporate visions can be the unifying
blueprint for how major organisations design
and model their business promise to serve
their marketplace. The corporate vision
expressed by the Indian Oil Corporation
(IndianOil) is not only far-sighted but
stunningly ambitious. The vision: to be the
“Energy of India”.
IndianOil commands a significant energy
market presence and it rates a top 100
standing in the prestigious Fortune “Global
500” listing of the world’s largest corporate
organisations. It is India’s flagship national
oil company and it dominates the entire
hydrocarbon value-chain – from refining,
pipeline transportation and marketing of
petroleum products to exploration and
production of crude oil and gas, marketing
of natural gas and petrochemicals.
IndianOil overcomes
unstoppable data growth
business threat
HPE Datacenter Care helps solve IndianOil’s
major cost, productivity and user response
Case Study
Objective
To overcome the adverse cost,
manageability, performance, and
scalability issues threatening
performance of ERP System
Approach
Leverage HPE expertise to plan and
execute a database reorganisation and
compression solution
IT Matters
• Reduced the size of the database by
62 per cent, from 15TB to 5.6TB
• Cut SAP response time by one third
from 900ms to 600ms
• Reduced peak front-end storage IOPs
by 70 per cent from 40,000 to 12,000
• Lowered backup time by more than
60 per cent from eight hours to three
hours
Business Matters
• Achieved a one-time savings benefit of
Rs 28.8 million
• Achieved recurring monthly savings
of Rs 72,000 at current growth rate of
database of 150GB per month
• Delivered users a 35 per cent
improvement in response times, from
460ms to 295ms