Business
Need for ILM
Focus Area
What are the implementation levels of ILM in Indian enterprises today? Are
enterprises ready for ILM? What are the business needs for adopting ILM?
CIOs Feedback
Many companies today have data archival and housekeeping policies that
stipulate how long a particular type of data resides in live systems and when
and how is it migrated to archival systems over a period of time. Then there are
companies in IT services, which face no need for data migration or even to store
data for a long period of time–they are actually required to destroy data
within a stipulated period of time as per customer demands! Even as cost of
physical storage keeps falling, the demand for storage is so high that total
spending is still increasing. The real issue in storage is people-related costs,
which can go even 3-5 times of physical costs at times. With ILM, in the long
term you are targeting management costs. With structured data like ERP and CRM,
it is easier to manage. With unstructured data–emails, X-rays, content images,
it is difficult to search and find data. Backup and archiving is going to be
difficult, and as a result the cost of retrieving data is huge.
Besides, much of the logic for moving data from one system to another often
lies within the application itself. For example, SAP keeps data live for 2 years
and then rolls it off (for archival). At present, there are not many
organizations that talk of end-to-end automation of data migration.
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Intelligent
Data Management
Focus Area
How does one take steps towards adopting ILM? At what stage can an
organization claim that it is practicing ILM? How does one take full advantage
of ILM?
CIOs Feedback
ILM is more of a process and a policy-based framework than something that relies
on technology. It is not a product that you buy and implement. Policies and
procedures are where the core lies–policies on control of generating fresh
data, when to move data from live storage to secondary storage, and when to
dispose it off, if at all. And it is business requirements that lend to policies
and procedures. The technology is just an enabler. These policies are in turn
defined by unique business needs.
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Once the policy is there, automation comes easily. To take an example of an
enterprise in media industry, there are different types of data–from email and
transactional data to content, news stories, pictures and advertising images.
The applications generating these disparate types of data often have built-in
logic to move data from live storage to offline or archives.
While applications with structured data, like ERP and CRM have their own
sophisticated architecture for data management (archiving, data warehousing),
increasingly most of the data is being generated outside those structured
systems, for example email, scanned images of documents in digital format. And
this unstructured data is the biggest challenge facing organizations.
My Kind of ILM
Fortis Healthcare is a healthcare chain operating super specialty hospitals
in multiple locations in India. The chain has adopted Picture Archiving
Communication System (PACS), for storing and accessing digital images of X-rays,
CT scans and other such reports. A keen believer in power of IT for better
patient care, chain’s head of IT Sunil Kapoor talks of the integration of ILM
principles in the patient care system active at Fortis.
"Patient records (images of X-rays and CT scans for example) are kept in
live (primary) storage as long as the patient remains admitted in the
hospital," he says. A consulting doctor can access a patient’s images
through his desktop whenever he is interacting with the patient. The moment the
patient is discharged (the notification comes from the billing side of system),
the image records are automatically moved to secondary media, which is DVD
jukeboxes.
As an X-ray image is taken, it automatically moves to the reporting station,
to the concerned radiologist. The moment the radiologist reports it, it moves
automatically to the web-server, which makes it available on Intranet for access
throughout the hospital chain across the country.
Data Retrieval: In the OPD scenario, when a patient fixes an appointment, the
system identifies and matches him with available records and if a record is
found, it automatically identifies the specific DVDs that contain the relevant
images. Working in tandem with an appointment booking software, it generates a
daily report at the end of the day so that the operators can go to the library
in the morning and load the relevant DVDs. Through this secondary storage, the
images are once again made available on consultant doctor’s desktop when the
time to see the patient comes.