Knowledge Portals


But will also need to ensure that when you
are going for data mining what kind of data we are using a data mining right And then you have to see that certain problems
or challenges which I associate to data mining are removed because these are acting as a
constraint then what will happen your data would not be correct whatever mining efforts
is made through statistical analysis or machine learning and then whatever outcomes are coming
out of this is not correct right So there could be different kind of problems like they
could be data related problems right If the quality is good not good or the data
is not completed or the missing data of these incorrect data right So then it will not get
good results right Similarly there are problems related to the management right If the data
is too long too expensive and you are going to select bad vendors and not this data mining
activities may be hampered Similarly how the data is structure structural problem may be
there right A structural problem is related to basically
the people and the culture part right Whether people are really interested to go for data
mining are not right Whether the commitment and commitment of the analyst knowledge developers
knowledge users for this kind of things or not What kind of cultured structure you have
in the organization okay And whether you have a norm in the organization to go for these
kinds of data mining activities regularly extract information and knowledge from the
data or not okay What kind of structure you have a structure
means the structure of the organization Whether this can structure across levels facilitate
this kind of process or not And whether there is coordination among the data mining miners
and other managers vertically and horizontally to see that how this data mining activities
integrated across processes to ensure good information coming out of it and is being
used by the manager at cross levels And then the other issues like modeling stakes
with the suppose you have developed certain model but the model does not fit into the
data then what will you do It means either your tools are not correct or your assuming
are not correct right Or the kind of sample that you have taken is not correct So when
you are going to use certain sampling techniques make sure that it is more randomized in the
process right Because sometimes convenient and none data
collected through convenient sampling upper bases sampling may not give good results So
it is always advised to go for a more apprentice sampling and so that the data fits into the
normal distribution curb and then you get better results right and then you test it
properly Use appropriate statistical tools to get certain inferences from the data And that is why you need to see that these
barriers or obstacles to data is not there whether it is related to data itself with
the organization or the management argument when you are going to the analysis of the
data especially the mining part okay Those data cannot be mine unless it is good quality
it is perfect data and then we have developed better models good models right for testing
the data right So it is very very important that you have
to understand the business requirement before you go for it okay Because unless you have
a business requirement or business justification you should not go for data mining activities
right Otherwise you will not be able to get any benefit out of it So you make sure that
what is the objective of that data mining at the first stage And whether you have a real business case
to answer for this data mining or not then only you go for it otherwise not right you
do not take an experiment or do not go for experiment to go for data mining and then
go for data mining and then because there will be even if there is certain outcomes
you will not be able to make use of it and then you try to find out a context where to
use it what to do with this information right So first you need to identify and then do
not carelessly handle the data right There is lot of issues like over do not go for over
quantifying the data do not go for miscoding the data So these are basically things relate
to the preparation of the data okay Identify what are the sampling errors That is very
important okay and then you identify the kind of precision you are looking forward to okay At what level of significance you want to
conduct it and then if there are missing values whether you are going to include and exclude
If you are going to include them what could be the rules for putting values there or if
you want to exclude why you want to exclude this Because this may reduce your dataset
and at the same time this may not give you correct information also right So these are
some issues related data handling which must be looked in to Another important thing is that sometimes
you go from validate in certain models and you force your data to fit into the model
right because of having a lot of data then you will think that it will okay it will fit
into the data it might fit into the data but sometimes it is not given giving good results
And there are certain results which maybe or may not be correct okay So you need to identify that when you are
going to validate certain models using certain data mining techniques with whether it is
statistical or using artificial intelligence techniques either further classification or
prediction or just simply associating certain variables right you need to ensure that model
better fits to the data There are no outliers right it fits into the normal distribution
car right Otherwise what will happen even if you have
the data and it is not proper data and you are going to validate it It may not be correct
right so make sure that the data that is there at your hand is correct it is proper So that
you can make better use of this data Then most important thing is that why you
want to go for data mining the basic objective is transforming data into knowledge So you
move from data to information right You will organize them and ultimately you are going
to analyze the data to get the information right So data mining is not an alchemy process
see it is not that okay automatically data would be converted into knowledge right You have to transform them this raw data into
some kind of knowledge right and if you are not able to do it probably it is not going
to be beneficial because for example if you do not have correct data or if you are not
going to use appropriate statistical techniques Or if you are not going to use correct models
okay or you are not going to use correct information then probably you will not be able to transform
data into knowledge properly So the idea is that the top management or
the managers who are responsible for data mining they must consider certain things like
make sure that they should be able to identify the business needs and where they are going
to apply the information of the knowledge that is coming out of the data mining okay And whether this is going to be done inside
the organization if you have business analysts then you make use of them it is costeffective
or you can go for outsourcing this kind of thing where you have external business analyst
who are going to mine the data depending upon your requirement okay And if you are going
for outsourcing this kind of a services data mining then you identify a suitable vendor Who has experience okay and it may be costeffective
also and then you develop a team who is responsible for taking this kind of activities on a regular
basis because you know that is a cycle which goes on in a regular basis So you need to
continuously mine your data to extract useful information and that is where it is very important
to see that whether you are really able to transform data into useful knowledge or not
and it is a major concern for most of the managers Then once we have talked about data mining
activities here Next we are going to talk about is knowledge portals And if you look
at knowledge portals they also provide a lot of the data okay So it is also part of the
data actually and then very specifically we are going to see that what kind of data is
provided by the knowledge portals okay So we will discuss some of the knowledge portals
which have been created by the businesses And then we will look into some of the challenges
in term of how you are transform business using the knowledge portals what are the market
potentials and then we will also look into the applications okay that how it go upon
building enterprises portals okay How about the sponsoring and then will also look into
the certain technical issues or what to do when kind of software and hardware integration
is going to be there And what things are you going to put on the
knowledge portal right So with this we proceed with knowledge portals okay Knowledge portals are nothing but virtual
workplaces right where you can share information okay across users okay Say for example of
progressive blog or your website of the organization and if you are going to put a lot of data
information order that could be used as a portal also right And then you have access
to structured data right one: kind of knowledge portals could be say for example libraries
okay Libraries basically supports knowledge sharing
across users across categories okay And it is a storehouse of information you can say
a structure data Now the make use of the library in a very structured manner okay And then
whatever information you are getting from different sources in library you can organize
them okay So and that is where libraries especially I am not talking about the physical libraries
but I am talking about the digital libraries okay So digital library could be considered as
one of the knowledge portals organizations website which store data they could also be
considered as knowledge portals Like if go to the website say the Ministry of labor you
will find a lot of data related to the labor so which you can extract and make use of it
after analyzing So that also give you lot of information relate to the labor activities
would be related to labor acts It could be related to labor productivity
it could be related to trading your activities all kind of data you can find out there right
So these are virtual knowledge workplaces is where you can get lot of information right
And then basically you have to see that whether you have access to these places where the
data is stored in a digital form right And what are their applications rights
Suppose you are doing a research then you can use digital library to identify the kind
of research that is being done okay And then how this research is going to be integrate
for your purpose right It is also used for facilitating collaborations across employees
For example you are knowledge portal where you are going to share knowledge right So
suppose you have a query you can put it in the blog or the portal or knowledge sharing
portal And there could be employees who are going
to answer these portals okay And that is how you can collaborate and share knowledge with
each other okay And then you can also assist the organization can assist itself in reaching
out to the customers How because you know ultimately if you link into the customer For
example customer service centers right virtual customer service service centers like we are
call centers today right And then you simply call them and get assistance
from there depending upon the kind of requirements that you have okay So knowledge portals are
very important because it allows producers and users of knowledge to interact with each
other okay And then you can both of them have better interface okay knowledge producers
interface knowledge producer interface and knowledge customers using interface okay Now moving further if you look at portals
that have come up as the way of development we started the search engines now You know
that we have lot of search engines we have also lot of navigational sites like Google
we have a say these are navigation sites or Yahoos is navigation sites right All types
they are search engines right there are lot of search engines which are available which
help you to basically retrieve useful information right So you start from search engines to navigation
sites to portals so we are more way ahead search engines to navigational sights to portals
So portals have evolved as a way to have both the capability of a search engine and also
a navigation sites right because if you look at portals it does not only include search
engines where you can collaborate through portals and all kind of things But it is more
personalized because you can interact onetoone with people okay And you have lot of archive saved so far as
content is concerned So you also need some kind of architecture to manage the content
that is available at the portals okay For example Amazoncom oaky it is the port it is
interactive you can look for a product okay You can collaborate also you can sell their
also it would be more personalized depending upon the requirement you can see what is required
and then accordingly the product can be customized for you And then lot of the lot of content and then
you can search out of this content what is required by you Navigation sites like we have
Google yahoo and these kind of things basically you have search attributes and then you can
classify and categorize the content based on the relevant information So the portals
have come a long way starting with search engines to navigation sites okay So if you look at portals they are more important
compared to any search engines or Navigation sights okay Now we have two kinds of portals one is known
as knowledge portal the other one is in information portal Now if you look at information portals
what all will happen information portals only have information okay The only thing is that
you have to access this information and then you have to see that how you are going to
make use of it The source of information could be internal or external but when I am talking
about knowledge portals became knowledge portals are basically having a different kind of characteristics
or trades right It is aimed at certain things right You are
going to make use of knowledge for certain activities right Not only that but it is also
related to different cycles of the knowledge management like acquisition production transmission
or management also okay So it is not only limited to say just say content management
right For example information portal basically manage
the content but informed knowledge portals are way ahead and they compete they basically
look at the entire KM cycle starting with acquisition production transmission and management
right And it is very important to have these kind of things because and in an enterprise
portal basically gave that he is had just one system But knowledge portals would be having different
kind of systems related to different activities of the knowledge management like knowledge
sharing knowledge discovery knowledge acquisition knowledge transmission knowledge right so
this difference between that And then when you are going to have knowledge
portals You have to see that the major challenges that people are going to make use of it for
business okay So you have to make sure that you are able to optimize the use of knowledge
portals by the people to make use of it in their daytoday processes so that they are
able to improve the quality and reduce the cost okay So it is very very important that people are
going to make use of this knowledge portal and for that what you need to do to communicate
and tell them what kind of information is there in the knowledge portal and how they
or what they can be used and once it is done you are going to optimize the performance
operational processes and at the same time can also reduce the cost Then you also need to commercialize your products
at lower processes so you need to communicate to people that what are the advantages of
using these knowledge portals for working effectively Then when you want to look at this that how
the portal is going to help you to transform your business so the basically what happens
in a portal the knowledge is available in a documental form electronic documents right
So this is changing very fast and the quantum of knowledge that is going to be available
tomorrow is going to be huge right So the speed at which the quality and quantity of
knowledge growing is very tremendous So the one major problem that these portals
are facing is that how to archive classify and manage the content relate to the knowledge
of a whos the huge knowledge base that is coming up okay because you have less time
to market okay There is a turnover of the knowledge workers because they are leaving
the jobs right And see so you have more demanding customers
so you have three fronts first from the customers fronts you need to satisfy the requirements
in terms of products and services you also need to look at employees you also need to
make them happy satisfied okay And meet the expectations and challenges otherwise they
would leave then there is a shorten time to market that is since product lifecycle is
very short And you know that more and more innovative
products are coming So it has become a major business challenge for organizations to come
out with new products and new services so that they are able to retain customers okay
So since they have shorten time to market shorted product lifecycle it is very very
important that how these knowledge portals are going to be used by the people to be more
creative and innovative in their performance Then most of our organizations have already
launched these kinds of programmers and there was survey which was done to see that what
are the motives which the organizations have gone for these kind of knowledge mining programs
See most of the business objectives have one important motive that is to make profits okay
Apart from making profits and the major talent that was identified is that they want to retain
key talent with the organization okay And they also want to retain customers so
the most important findings suggest that most the organizations have gone for KM systems
to increase their market profit revenues right Going for more products and services new markets
reducing their costs okay and also to retain customer services okay But it does not act
about employee except for retaining key talents and expertise because they can directly link
with the profit and services right So if you look at the motive for organizations
to launch this kind of program is very clear that they want this to make use of this KM
system to make profits or better revenues retain talents right Where customers increase
their market share alright then introducing new products and markets right and also ensure
that they are able to reduce costs and improve the quality of the products right So these
are the motives for which organizations have gone for So now if you look at productivity definitely
how it is going to be done see starting with if you look at the arrows it shows that how
you move up and so while as the benefits are concerned the hierarchy starting with identifying
data begin over sharing knowledge then you look at the quality of the data then how this
quality data is going to help you to take better decisions through data mining okay And how can collaborate across verticals vertically
or gently share the knowledge and also identified documents so these are the activities are
which can be done but all this need to be linked with productivity of the organization
Now when it comes to knowledge portals what are the use you can manage your email traffic
to have to look at your bandwidth you to see that how much time were going spend on meetings
phone calls or what is the response times But therefore that you make which is useless
actually what will operating cost how much time would take to market a product right
so these are some of the issues with these knowledge portals can help you Then going further than you look at the content
of a knowledge portal what does the knowledge portal include it include content it include
information related to business intelligence that is was a mined data converter the decisions
that have been and how to implement the decisions in the organizers knowledge and knowledge
portals also include data warehouses And data marts and also you have to see that
you are able to better manage their data in terms of quality accuracy in this kind of
things Now what are the technologies that is used by these knowledge portals include:
collect data you are going to classify the data distribute the data across groups and
people and associate to collaborate publish this personalize information using the knowledge
portals And then how are going to search and navigate
on a different kind of information or knowledge that is available with the organization Then going further look at this likes of our
example search the weather have quick access to information to facilitate certain newspersons
were not however to categorize different kind of information then when it comes to query
reporting analysis okay how it helps you to go for better business support right then
and not only a business decision support also howled to disseminate information and share
knowledge with each other And then how are those integrate information
and applications you have see that how all access information what kind of interface
is there how are going to use that interface that especially publicized subscribe that
is how with different business process with a collaborated and shared are going to help
you to improve a business that is very very important because ultimately what matters
is bottomline right And then you go for personalization also that
is who the kind of interface that you have it to remove personal where one to one interactions
going to be there than that helps you to increase your performance Then what kind of collaboration is there then
that would be human to human interaction that is asynchronous or there could be synchronous
where you are going to a computerized right so even asynchronous collaboration with which
going to be two people and then you can say that yes you are linked with the computers
you are able to talk were going to ask questions response with it without any time video conference Like you are using is a video conferencing
or Skype right so two people can collaborate and interact with each other without any constraint
of time and space and then when asked questions and respond and then the advantage that is
anywhere and then accesses there Then synchronous collaboration is that if it is also a human
to human but computerbased but it happens immediately right For example if you have problem then again
you use the audio video or the data technologies find it right but in asynchronous basically
collaboration where you do not have any time and space right but synchronous collaboration
the only difference is that it has to be done immediately because the time and space constraints
and then the job is to be the immediately and the distinction is made between an asynchronous
and synchronous is that what kind of technology you are using Push technology or pull technology okay so
push technology where information is in a place that is difficult to avoid us a button
technology requires you to take specific actions to retrieve information means the data contained
in there and a new try to extract the content to get them information was finale what happens
yes it is pushing you to use it right it means being forced by that kind information to go
far right And in pulling what happens that is you have
to go for it so push technologies that the very attracted to go for it and pulled collect
valued if you need it and then you look for it with and that is the difference between
pull and push technologies Layers of the portal architecture that is
how the portal architecture looks like a materialist support testing a prototype web of a portal
architecture and so it include raising that is a knowledge extra services systems available
at knowledge is the blue flag with the knowledge sport available knowledge to the recoverable
then that is our research and deliver information in knowledge services you have three kind
things Collaboration that is how you are going to
interact and relate with others document management which is there and the how it can use and
then you have facilities for data warehouses are in business and race including better
right then this is linked with tracking or flow because there is system basically which
can include all kind of things lousy communication varieties also included security directory
replication and that there are web administrators So this is how a portal architecture looks
like and it has three parts first part second part and third part this is system related
this is services related this is what like that is wellknown to interact right Now if you look at collaboration tools you
have two safe you are using a lot of collaboration tools like web browsers emails right search
functions are there you have multipurpose data and then that you do have collaborative
services also when you can have access and easytouse data and Web services you have indexing
services also for fulltext search of documents right For example if you go to library databases
right and then run different kind of databases are posted by these libraries so if you go
to these particular database to click their and then you provide a full list of our databases
or the data relate to different journals or research papers and the nuclear comeback in
them and get all text documents right so that is what indexing service Ad it is well organized central storage location
was your central library where it is located and from where you interact and relate yourself
right Now if you look at that synchronous basically
synchronous collaboration happens through as I told you through teleconferencing video
conferencing and online chat Skype most of the online things are happening like teleconferencing
the advantages that it is immediate the disadvantages are yes it expensive if it does not work well
then you have a problem with the conferencing is again and says computer connected actually And now you have a technology but you need
to see that you have a system in place which is meant to help you to for these kind of
things right for example you need to have a good connection good bandwidth at the end
of an them have online chat forums okay you have Tweeters Facebook forums are available
so you can communicate in number with people depending upon the requirement using a computer But only requirement is that the systems requirements
must then you have email is like an example I want to send a mail to a lot of people like
our institute we have a Gmail system and information that of those as simulated to the people into
all the people then you have blessed with decision discussion forums we have a portal
where people can complain and give advice and are also now make complaints are endless
suggestions also at its what needs to be done Then you have Lotus Notes from IBM and its
very complacent and is basically provides you the complaints of solutions on because
the technology is very very strong here and is used the secure accommodation as well as
document management that what is that these kind of fire and techniques are very expensive
when it is compared to synchronous collaboration Then now if you look at the case that how
this KM architecture over this example from the World Bank okay that the World Bank uses
are the knowledge management system in a big way and they have information for classifying
the knowledge so they are basically using Excel is Oracle learned it ideal that is XML
to drive document management system and that is linked to lotus notes that look at this
XML is in the language exchange that is used And then it leads to output strategy that
is Lotus Notes Oracle of this hierarchy will architecture of the knowledge management architecture
of the World Bank knowledges their then you have a rattling or indexing your Lotus Notes
for the American document management down the line you have software is like a SATA
PeopleSoft electronic document management systems and databases So basically codification technologies are
used to that our American on investment to see that how much is being used what is the
benefit of having this kind of knowledge management system in the archives now more into this We also have intelligent agents are tools
that can be applied in the context of enterprise knowledge portals okay but it is not a devlop
up much basically the software is an institute huge amount of data for different activities
but it is still are in the beginning stages like my fellow practice they can offer customized
service service assistance on through online services For example of a query related customer service
you call them it automatically routes it okay gives you reply is still in the development
phase you can go for customer profile profiling or you can integrate to further profile of
the customers with the marketing activities and you can also predict requirements of the
customer using data mining techniques or you can go for the negotiation by sitting prices
or payment schedules based on your requirement And also financial connections and from the
customers we have they are lot of benefits but still it in the infancy stage So new revenue trends in the portal technologies
which has of late just in time of solutions and services showing you have to say certain
things like you have better computer so you have more interactions to be more situation
tailored based interaction between the people and the system similarly you are going to
see that if you have an analytical tools for training and collaboration and that is very
get better performance support Then have a knowledge management systems and
also digital library right and ultimately were going to have need to create more collaborative
environment and intelligent agents these intelligent agents basically helps you to monitor filters
search extract translate mine visualize summarize information for different requirements So it is a more integrated approach to look
at the things in a more holistic way not only monitoring and filtering data mining and visualizing
data but also giving a lot of information that can be used to buy you different activities Moving to next is that is knowledge sharing
is a big issue to make sure that the content is structured in such a way the quality requirements
are met right it is integrated with the system security issues are taken care of the synchronized
with the technology so that you can use these knowledge portals for better knowledge sharing Similarly to see that was a different kind
of portals which are available like Lotus is there open text in their and the characteristics
and the uses also define here for example gobal Lotus Notes user self creating refining
taxonomies use is more personal resource link to data sources it goes far advanced collaboration
and you have and the need go for rapid application of integration and you can really associate
with knowledge manufacturers Like open text are it is also integrate knowledge
management system but it used for knowledge man document management basically an customer
of collaboration similarly also have Plum tree which is very easy in extensive content
application integration the advantages that its performance and scalability it has better
security features or data taxonomies are taken care of you have different than a bit accesses
and can be customized also depending upon the requirement Then you have the webmeta engine 10 and is
at these are the new developments which have taken place in terms of its usability tracking
site statistics contain streaming to our list services also the revenue things which is
coming up without Internet you can may use certain applications and perform certain tasks
so these are the new developments which is coming up in and that is how we find that
these knowledge portal are to be very very useful thank you very much

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