Showing posts with label SAP business objects. Show all posts
Showing posts with label SAP business objects. Show all posts
Tuesday, April 10
The Tipping Point - Business Analytics Solutions from SAP
The most exciting thing about business analytics now versus
ever before is that its going to be easy. And it has not been easy before. And
it is going to be mainstream for the masses and innersole and embedded in
everything you do because we now have the technologies available to us to make
that possible. So previously Analytics was corded off to people on the labs for
the few. Everyone’s point of reference was that it is complex and difficult. It’s
the tipping point now that we can make possible for the people everyone in the
organization whether you sit in the HR, Sales or Marketing that you can
leverage analytics in a very quick, easy consumable way to help you make better
decisions. So when we talk about business intelligence and we talk about
Analytics, the most exciting thing is that the customer now understands that
they are everywhere. Analytics, Business Intelligence is everywhere. Its not a
report or something to be dealt with after the fact. It is actually happening
you need those insights and analysis at every step in your day to day business
processes. So the most exciting thing is that the customers have an appetite
for that and they see that. They are saying that I can’t have this as piece
something separate. I need to have this right in the thick of while I am
executing my day to day job. If my job is to hire people, if its to manage
benefits, if I am a head of marketing, my KPIs drive around market share and
pipeline generation, I need to be able to have business intelligence and
Analytics right there while I am making my decisions. And it is exciting that
the customers are pulling and asking for that and then the combination of what
we have in terms of our technology innovations to be able to deliver it, I
guess that is the tipping point.
Saturday, March 31
SAP BusinessObjects BI 4 New Branding Introduction
SAP business objects 4.0 represents the first major release
of SAP business objects and the business intelligence software since the acquisition
by SAP. One of the major things that is done in this release is to step back
and look at the entire business intelligence portfolio and really help ensure
that SAP customers can find the appropriate product, solution or some component
for the type of task that they are looking to perform.
So SAP has looked at the solution portfolio and decided that
does the name really help SAP customers to find that particular functionality
or capability that they are looking for. So one of the key changes is around
SAP business objects xcelcius enterprise.
SAP business objects dashboards would help optimizer search
and new people can find it more easily.
Business objects enterprise which is the business
intelligence platform underlies all of the client tools which we offer. We have
changed business objects enterprise to SAP business objects business
intelligence platform.
Thursday, March 29
The Future of SAP BI is Now
What you are
seeing here is a new universe designer. So as most everyone has been used to modeling
and being able to create universes within business objects now the evolution
taken is ability to build you can really look at raised and understand your
business better to be able to make your decisions better in order to make the
decisions better you have multiple complex sources in the Asia that exists in
the enterprise there is relation data there is multidimensional data and when
customers is actually told is you do a really good job with certain types of
data when you look at others fonts data it is not as easy it is not straight
ford to bring information together into a universe and we heard your feedback
we heard what you saidand we have
actually gone ahead and to deliver the capability within the universes to now
handover natively multi dimensional source of information as well as multiple
source of information coming together in a see must way within the universe so
let me show what that looks like when you look at the capability of your
surrounding universe you created way of view of universe where there is effectively a date of foundation and
this is where the architects of your data the people that are inside the
pluming of instances say how for an enterprises source comes from whether be
your rational or multidimensional view gets brought through into a universe and
so here we have the date of foundation layer and you can actually see within
the concept of data foundation eventually modeled a multisource universe this
multisource universe actually has relational sources coming from in this case
SQLand we have
another source of information in this case coming from PW relationally modeled
and integrated into the same universe and so the way we have done this is we
have actually taking capabilities from what’s known as data federator the
federation capabalities is that with in business objects and really infuse that
directly into this do material business objects universes so as we have been
able to make that capability available to rely multisource universes we also
believe that we have to make it easy to multi dimensionally modeled information
within the universe so let me show a little bit more so as I am bringing up the
view of a fully realized multi dimensional model in this case and let we must have
a little bit more details that we have here we have a we have amaster set
of tables that are actually now organized by multiple source of information as
well as little bit of dimenationality expose I can actually see various slices
of universe where will be sales orders purchase orders customers view inventory
management and so here you have this real capability of just simplifying the
way your data your architecture has
effectively organized the data into effective business management we can then
go ahead and expose the business layer that is associated with the data
foundation that so here you might be familiar with how it works along with this
objects so here we have now introduces a
qery panel that can handle both multi source and multi dimensional data so we
may actually go ahead and draw the query this is query panelso as I am
selecting in a new query its going ahead and choosing a member object from a
specific data foundation and go ahead to
like my product query my mail item now go ahead over a measure just for fun and
refresh my data so right with this multi data so nicely cleaned very easy to
expose that a business view into a data
modular and I suppose to say for instance handle the
underlined date of foundation when architecture stand by so if we continue the
if we continue this experience we we largely now what we have to take the
symmetric layer what I have been able to show as far as for say relational set
of viewsmultidimensional
set of views being exposed and then have our clients most effectively connect
themselves to set of one of the way business intelligence choose
something most probably familiar web intelligence so how well it probably goes
and then go ahead and consumed this information most effectively and we have to
expose the able to modeled out data foundation in the business layer and then
expose that to how a report is been made inside an web intelligence so now let
me open up an existing report and so as I am opening up this existing
report where you are actually seeing web
intelligence is going ahead and okay what are the related matters that I are
available to me is there any additional information that I need to be
effectively point various sources and it actually done putting into a vary
consistent view of our client experience so this is the first clientor dual
experience that I can show really briefly and so here we start to see the new
capabilities of the user interface immediately so we can see there is nice
attachment of fold and unfold capabilities what you have within the intelligence
tool or go head and show a view how you can actually incorporate additional viusalization
very easily with in web intelligences so
as we are showing the capabilities of shown visulazitions very easily what we have
actually changed in the offering intelligences that we fully integrated all of
the chart labirieries that were sending to clay explore now one has few hands
is there any one so few hands up so the explorer what have known to in a very
elegant waytorching
visulations are shown very effectively seen what we are able to see in the
context of this data so we said why could not we be just easily able to
administer in visulazitions the same shorts within the context with another tool say for instance web
intelligence where we have actually so every one had that and took the entire
set and expose that we have exposed the
entire set of trading liberiries that tred into now available in the explorer
and expose that to view our clients and so as you can see here is every
charting element whether be box blogs sophisticated lines surfacing mapping
people tray maps scatter plots vertical charts are all now natively incorporated
into the web intelligencesso this is
something we have very frequently heard from our customers how we have the
ability to go ahead and do very nice add how analysis continue we don’t have
the ability to build and to visulations very specifically so now you can see
this capability of really beautiful incorporated so ASUS is a view where the
business matter are as well as business intelligences works very teamostically
together
Friday, November 11
SAP Business Intelligence
This post is an introduction to SAP business intelligence. Lets talk about the issues the business intelligence looks to solve, the origins of these problems, and the need to use business intelligence and the reasons why it is used and an overview as to how SAP has implemented this as an architecture.
Lets start now. For years companies have been gathering data using many software products. They have been using different data processing systems, ERP which stands for Enterprise Resource Planning and also CRM systems. So anything that has to do with data entry will have data capture. Several Bytes of data has been gathered. Companies have been archiving that data where it has not been retrieved anymore.
Another issue that is faced by the companies is that information is globally distributed. Companies have data which has been collected globally. All types of data is on different types of systems, databases, operating systems, and platforms. This will represent another challenge for companies.
Also when you look at the amount of data that has been amassed over the years, this will only continue to grow. This can be seen as a positive or a negative aspect. But to the business analyst, historical data will always seem to be very useful and is seen as a positive factor. Another factor in this stage is that the companies need to stay ahead in competition and to do so they need to be able to make strategic decisions.
So today we see a lot of asking questions companies ask like- what kind of products are maing us the most profits? , how are our sales doing compared to last year? , how can I predict turnover for the coming year? You can see that these questions are specific to the sales part. But if you made an analogy, for example human resources, then the questions asked can be like which companies have led as compared to last year, how many new things do we have?
What are the various possible solutions? First of all it tries to aggregate data into a place from where it can be accessed. This increases the performance of the data for which the report we have made. It also tries to take up all the business processes into consideration, from human resources to sales, marketing, development. It combines it all into an accessible to create reports and help to chart the companies to make quick decisions., the information that is needed to create these reports. Which in turn helps the components to make decisions.
So how does SAP Business intelligence do this. First of all it provides with data warehouse, where you can retrieve data from. It retrieves data from different source systems and aggregates all into one congregation. The second step is the business intelligence platform, which cleanses the data and then duplicates and transforms so that it can be used later.
And on top of that we have the analysis tools that will be used to speed up reports for the data in the business intelligence platform. This will raise a question- whose job is this? You of course. You will be responsible for implementing these solutions as a business intelligence consultant. You will help the organization be more competitive, help to increase revenue. In this way you will provide value to the company. In turn the company sees you as an asset.
The SAP business intelligence components would be the data warehouse, business intelligence platform, and the business explorer.
First of all the data warehouse extracts data from multiple sources and provides a single source of access to the data. We can extract data from all of the databases and web services and files like excel files. And hence we can access data from one single source.
Next is the business intelligence platform. This is the analytical engine, the brain behind the scene. The main aggregation takes place, slicing and dicing of the data takes place here and it provides data for the reports to be made.
The last part of the system is the business explorer. This is different form others. This is the part that everyone sees. It displays reports charts and graphs. It shows the statistics. It shows a couple of tools available in the SAP like the Bex analyzer, Bex web analyzer, Bex query designer, etc.
SAP is the provider for solutions like other companies like COGNOS and MICROSOFT. SAP business objects was recently acquired by the SAP to help directly compete with all the other providers. This shows that SAP regards business intelligence as of core importance, and it would be a good field to start a career in.
Lets start now. For years companies have been gathering data using many software products. They have been using different data processing systems, ERP which stands for Enterprise Resource Planning and also CRM systems. So anything that has to do with data entry will have data capture. Several Bytes of data has been gathered. Companies have been archiving that data where it has not been retrieved anymore.
Another issue that is faced by the companies is that information is globally distributed. Companies have data which has been collected globally. All types of data is on different types of systems, databases, operating systems, and platforms. This will represent another challenge for companies.
Also when you look at the amount of data that has been amassed over the years, this will only continue to grow. This can be seen as a positive or a negative aspect. But to the business analyst, historical data will always seem to be very useful and is seen as a positive factor. Another factor in this stage is that the companies need to stay ahead in competition and to do so they need to be able to make strategic decisions.
So today we see a lot of asking questions companies ask like- what kind of products are maing us the most profits? , how are our sales doing compared to last year? , how can I predict turnover for the coming year? You can see that these questions are specific to the sales part. But if you made an analogy, for example human resources, then the questions asked can be like which companies have led as compared to last year, how many new things do we have?
What are the various possible solutions? First of all it tries to aggregate data into a place from where it can be accessed. This increases the performance of the data for which the report we have made. It also tries to take up all the business processes into consideration, from human resources to sales, marketing, development. It combines it all into an accessible to create reports and help to chart the companies to make quick decisions., the information that is needed to create these reports. Which in turn helps the components to make decisions.
So how does SAP Business intelligence do this. First of all it provides with data warehouse, where you can retrieve data from. It retrieves data from different source systems and aggregates all into one congregation. The second step is the business intelligence platform, which cleanses the data and then duplicates and transforms so that it can be used later.
And on top of that we have the analysis tools that will be used to speed up reports for the data in the business intelligence platform. This will raise a question- whose job is this? You of course. You will be responsible for implementing these solutions as a business intelligence consultant. You will help the organization be more competitive, help to increase revenue. In this way you will provide value to the company. In turn the company sees you as an asset.
The SAP business intelligence components would be the data warehouse, business intelligence platform, and the business explorer.
First of all the data warehouse extracts data from multiple sources and provides a single source of access to the data. We can extract data from all of the databases and web services and files like excel files. And hence we can access data from one single source.
Next is the business intelligence platform. This is the analytical engine, the brain behind the scene. The main aggregation takes place, slicing and dicing of the data takes place here and it provides data for the reports to be made.
The last part of the system is the business explorer. This is different form others. This is the part that everyone sees. It displays reports charts and graphs. It shows the statistics. It shows a couple of tools available in the SAP like the Bex analyzer, Bex web analyzer, Bex query designer, etc.
SAP is the provider for solutions like other companies like COGNOS and MICROSOFT. SAP business objects was recently acquired by the SAP to help directly compete with all the other providers. This shows that SAP regards business intelligence as of core importance, and it would be a good field to start a career in.
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