KUALA LUMPUR: The Hewlett-Packard Co has introduced a suite of products and services that will allow organisations to manage their information better.
Damien Wong, general manager of HP software South-East Asia, said organisations are now overwhelmed with information.
"Generally, they manage their data in silos, which is inefficient and can make the information difficult to access quickly," he said.
The problem is even greater among Asia-Pacific organisations where about 82% of the major companies in the region do not enforce a universal information management protection policy, Wong said.
This policy acts as a guideline for organisations to help them decide what information to keep for a stipulated period of time, as well as how should that information be kept and protected.
Instead of managing data in silos, organisations would benefit more if they managed their information holistically. "A system needs to be in place to capture, monitor and protect the information, as well as efficiently retain and search for it," Wong said.
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Data management comprise all disciplines related to managing data as a valuable resource.
definition according to DAMA international data resource management is the development and execution of architecture, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise. Organisations generate, store and process large amounts of data. Data management is the management of this organisational memory. Individuals use data management techniques as well. Todo lists, calendars and address books are all examples of external memories (as opposed to our brain which is internal memory). These thre examples also share some common characteristics—they provide a standard format for storing specific kinds of information and they are organised in a way which accomodates rapid retrieval of information. They also requrie a trade-off between speed and size—a pocket calendar can not contain as much detailed information as a desk calendar but is far more conenient.
Organisations use all kinds of methods for storing data—filing cabinets, notice boards, computer systems and people are all frequently used. Storage devices are organised for rapid data entry and retrieval.
Desirable atributes of data stored by an organisation include:
An organisations memory exists in many different places, including inobvious areas such as the organisations roles and culture. Successfully designing and applying a data management solution is therefore a highly complex wicked problem.
definition according to DAMA international data resource management is the development and execution of architecture, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise. Organisations generate, store and process large amounts of data. Data management is the management of this organisational memory. Individuals use data management techniques as well. Todo lists, calendars and address books are all examples of external memories (as opposed to our brain which is internal memory). These thre examples also share some common characteristics—they provide a standard format for storing specific kinds of information and they are organised in a way which accomodates rapid retrieval of information. They also requrie a trade-off between speed and size—a pocket calendar can not contain as much detailed information as a desk calendar but is far more conenient.
Organisations use all kinds of methods for storing data—filing cabinets, notice boards, computer systems and people are all frequently used. Storage devices are organised for rapid data entry and retrieval.
Various types of information systems can be used:
Transaction processing system
TPS—collects and stores data from routine transactions
Management information system
MIS—converts data from a TPS in to information for managing an organisation
Decision support system
DSS—supports managerial decision making by provifing models for processing and analysing data
Executive information system
—provides information helpful to senior management for strategic decision making and organisation performance monitoring
On-line analytical processing
OLAP—presents multidimensional logical views of data
Data Mining
-Uses statistical analysis to uncover hidden trends and relationships in data
Desirable atributes of data stored by an organisation include:
Shareable
The data can be accessed by more than one person at a time. Low-volatility data often has many copies printed and distributed, which can cause problems if changes are made.
Transportable
The data can easily be moved to the people who need to access it
Secure
Data is a valuable resource and must be kept safe. Backups should also be made of valuable data.
Accurate
The information must be reliable and precise
Timely
The data must be current and up-to-date, especially if it is time sensitive
Relevant
The data must be appropriate to the decisions being made by the organisation
An organisations memory exists in many different places, including inobvious areas such as the organisations roles and culture. Successfully designing and applying a data management solution is therefore a highly complex wicked problem.
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