This Space has blogs on various topics in the field of SAP. These blogs point out solutions to various technical and functional issues that consultants face during implementation or support of SAP Projects. Readers/followers are welcome to contribute to this space by emailing your content at bohra.mohammadi@gmail.com. You will be rewarded according to the topic/number of words/complexity of the topic/issue which are you addressing in your blog.
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
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment
You are welcome to express your views here...