Archive for August, 2009

Business Intelligence

August 7, 2009 1 comment

Business intelligence is the knowledge, skills, capacities, understanding, practices and relative technologies, applications that are used to understand and interpret markets, their behavior, business dynamics and context. Storing, analyzing, and providing access to this data helps enterprise users make better business decisions. This helps companies to make faster, smarter decisions, as well as increase revenue, build customer loyalty, streamline operations, improve risk management and even enable previously impossible business processes.

BI System

A BI System provides facilities to capture data and present it for analysis; data is made available in ‘Historical’, ‘Live’ and ‘Predictive’ forms. We can integrate the wholesome business performance management aspects involving Strategy, Balance Scorecard, Strategy Translation/Cascading them into operations and business intelligence culminating into one integrated business information system which can be used as a Decision Support System.

BI Growing in Importance

The amount of corporate data is doubling every 2-3 years
Barriers of entry (costs/technology) are being removed
Continued pressure on businesses to find efficiencies and new market opportunities, client expectations
More disparate data sources than ever before

BI Usage Statistics – Source: Forrester Research Inc., 2006 survey

BI Use by Small and Mid Market Companies
48% –  Using
10% –  Planning to implement solution in 2007.
40% –  Not using
Don’t know 2%

Jesu Valiant

Knowledge Engineering – An Introduction

August 6, 2009 Leave a comment

In simplest terms, knowledge is the ability of an actor to respond to a body of facts and principles accumulated over a period of time. One way to look at knowledge is as the apogee of the following continuum – data > information > knowledge.

Data=1 unit of fact; information=aggregation of data; knowledge=potential for action on information.

Data and information have intrinsic properties, the quality of knowledge depends on the properties of the agent.

There is no universal definition for knowledge management. At its broadest, KM is the ‘process through which organizations generate value from intellectual and knowledge based assets’. There are two types of knowledge assets –

1. Explicit or formal assets like copyrights, patents, templates, publications, reports, archives, etc.

2. Tacit or informal assets that are rooted in human experience and include personal belief, perspective, and values.

It is important to manage knowledge assets because –

Organizations compete increasingly on the base of knowledge (the only sustainable competitive advantage, according to some). Most of our work is information based (and often immersed in a computing environment). Our products, services, and environment are more complex than ever before. Workforces are increasingly unstable leading to escalating demands for knowledge replacement/acquisition.


Jesu Valiant

Categories: Knowledge Engineering

Knowledge ‘in a nutshell’

August 5, 2009 Leave a comment

There is a limitless amount of free floating air in our environment; this air is available when get up from bed, escapes our clothing when we get inside, fills our car when we drive around, passes right through to our lungs, moves around in our office space, the sound travels through it, its interfered with all electronic waves, induces green house effect, as a gale sinks ships, as a tornado whips the planet, it burns as fuel gas , drives combustion, equipments that cools it or heats it as to accommodate luxuries, well…. this is floating air. This is the property of Knowledge too; there it free floats among the people, in markets, in space, in business, in technology, in medicine, on race tracks, in schools, in a train, on mountains, in observatories, in nuclear labs, in the dept of defense, in the road side burger shop. Wherever you go, whatever you see / hear / feel, all has its relative knowledge floating in some cerebral pocket of gray matter.

In a focused [or] applied environment i.e., [domain specific and task intensive] where the core function revolves around a host of supportive processes, there is a rich amount of this knowledge floating around. Take for example a hospital, the diagnosis department based on its complexity and existence would have in its people vast amounts of data that they depend on virtually which they have gained either by experience or by a knowledge transfers. They will have their set of best practices and a matured set of to-do’s that would give them a edge over competition or help build a more efficient and strong business / process ecosystem with transcendental benefits across a wide spectrum.

Capturing, Processing, Leveraging knowledge is Knowledge engineering. Knowledge available in a fluid state is captured for processing; the process knowledge can be leveraged and capitalized.

Knowledge Engineering

Jesu Valiant

Categories: Knowledge Engineering
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