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Three Financial Offerings Today
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These are some of our ambitions. I am sure these are also your ambitions.
They are not new. … <name some of them>
With HANA we are able to tackle with these targets in a new way. We can come
a bit closer to these ultimate targets.
======================
Business Agility: Acquisitions and reorganizations break the continuity from
past results to future scenarios. We overcome this disruption by running a
system of record on line item level without persistent aggregates. This gives
flexibility in adapting the enterprise to market requirements while keeping
historic data valid in new business contexts – simplifying realignment and
avoiding restatements.
Keen insight: Historic and predictive analytics run on different data sets with a
variety of methods – resulting in a multitude of contradicting views of the past,
fuzzy snapshots of the present, and ambiguous pictures of the future. With next
generation finance real-time information, intra-month soft closes, simulation
with a consistent set of methods on a unified line-item basis produces reliable
forecasts and a solid foundation for business decisions.
Inherent reconciliation: The reconciliation of disconnected data silos is a
recurring nightmare of expensive manual and complex automated tasks that
leaves everyone with the queasy feeling that someone might have missed a
major inconsistency. Next generation finance eliminates reconciliation effort by
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Absprung OneDocument
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What are the capabilities of an accounting system based on SAP HANA ?
There is only one single source of truth for Financial and Managerial Accounting. All General
Ledger will be stored in one repository, the revenue and cost part of the P&L has all relevant
detail like as to customers, products and regions.
The processing and analysis is based on line items rather than pre-configured totals. Thus you
have the highest granularity available, your analysis is not restricted by first setting up
aggregates in order to evaluate data fast enough. The aggregates would limit the kind of
analysis you can do fast. With HANA you can do all analysis fast, you have all dimensions
available which you have in your line items.
The solution is easy to adapt. Any number of customer specific dimensions can be added
consistently in Accounting.Some industries like banking and insurance see more and more
regulations, which require to add fields to accounting, sometimes 30 or even 80 fields.
Reporting based on this data is fast and flexible. State of the art BI frontend tools can be used
for operational reporting, thus the benefits of BI tools are inherited to the transactional system.
The month end closing process is accelerated, some steps can even be run on a daily/weekly
basis rather than just at period end. Thus the accounting system can give you insight on a
daily/weekly basis.
Finally consolidations could also be run on the original accounting data. Data replication would
become obsolete, some consolidation functionality could even be run on the fly in reporting.
! Achtung Demo ! Receivables Manager
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Throughput Boost data throughput by overcoming the lock issue
and reducing data volume to be posted
(Non)-Reconcialition No reconciliation because of ‚One Document‘
Flexibility One starting point to extend and adapt simply and
straightforwardly
Data Volume Reduce data volume dramatically by eliminating
redundancies
Performance Expectation: achieve identical response times as
before plus optimize
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In the traditional period close, the system created a list of valid orders and then
looped through this order list to calculate e.g. WIP for each order in turn. This
resulted in relatively small selects with an aggregation per order. This
procedure did not benefit from the HANA architecture (in fact sometimes it was
slower than on a classic database).
In the new approach, stored procedures on HANA are used to select the valid
orders, then the costs per order and to aggregate this data so that it is ready for
use in the relevant calculation (WIP calculation, variance calculation, results
analysis,…)
Instead of calculating e.g. work in process for each order in turn, the system
returns to ABAP to perform the calculation on the whole data set and update
the tables with the results of the calculation. This results in significant
performance improvements.
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Among business intelligence disciplines, prediction provides the most business
value but is also the most complex. Each discipline builds on the one below it –
these are additive, not exclusive, in practice
[[Analysis is probably better described as “How did it happen”. The why is part
of predictive.]]
Reporting, what happened, is the traditional capability which we also have in an
OLTP system.
Analysis requires slice and dice and good visualization, to analyze “how did it
happen” or “why did it happen”.
Monitoring is typically built with dash boards and scorecards, what’s happening
now.
Our objective is to reduce the ‘complexity’ by embedding predictive capabilities
in our BI client tools and business applications. Examples for this are Cash and
Liquidity Forecast and Credit Risk Analysis, Market Risk Analysis.
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In a traditional model we run actual processing and budget control in an OLTP
system, the blue boxes on the left side, and planning and forecasting in a OLAP
system, green and orange box on the right side.
With HANA we run both in the same system. The advantages are:
 Actuals and planning are based on the same data model. If you extend eg the
accounting model for profitability analysis, the planning model is likewise adjusted.
This simplifies system maintenance. Model extension can be like adding
dimensions or configuration of allocations.
 The actuals are always available for planning and forecasting, no replication into a
planning system is needed. This increases the time to act eg for cash forecasting.
 Data needed for budget control in your transactions is available once the planning
and budgeting process is finished, there is no need to “retract” any data back from a
planning system to transactional system
Thus the advantage is simplification of the system.
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Sap simple finance Add-on by guntupalli Hari

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  • 11. These are some of our ambitions. I am sure these are also your ambitions. They are not new. … <name some of them> With HANA we are able to tackle with these targets in a new way. We can come a bit closer to these ultimate targets. ====================== Business Agility: Acquisitions and reorganizations break the continuity from past results to future scenarios. We overcome this disruption by running a system of record on line item level without persistent aggregates. This gives flexibility in adapting the enterprise to market requirements while keeping historic data valid in new business contexts – simplifying realignment and avoiding restatements. Keen insight: Historic and predictive analytics run on different data sets with a variety of methods – resulting in a multitude of contradicting views of the past, fuzzy snapshots of the present, and ambiguous pictures of the future. With next generation finance real-time information, intra-month soft closes, simulation with a consistent set of methods on a unified line-item basis produces reliable forecasts and a solid foundation for business decisions. Inherent reconciliation: The reconciliation of disconnected data silos is a recurring nightmare of expensive manual and complex automated tasks that leaves everyone with the queasy feeling that someone might have missed a major inconsistency. Next generation finance eliminates reconciliation effort by 11
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  • 24. What are the capabilities of an accounting system based on SAP HANA ? There is only one single source of truth for Financial and Managerial Accounting. All General Ledger will be stored in one repository, the revenue and cost part of the P&L has all relevant detail like as to customers, products and regions. The processing and analysis is based on line items rather than pre-configured totals. Thus you have the highest granularity available, your analysis is not restricted by first setting up aggregates in order to evaluate data fast enough. The aggregates would limit the kind of analysis you can do fast. With HANA you can do all analysis fast, you have all dimensions available which you have in your line items. The solution is easy to adapt. Any number of customer specific dimensions can be added consistently in Accounting.Some industries like banking and insurance see more and more regulations, which require to add fields to accounting, sometimes 30 or even 80 fields. Reporting based on this data is fast and flexible. State of the art BI frontend tools can be used for operational reporting, thus the benefits of BI tools are inherited to the transactional system. The month end closing process is accelerated, some steps can even be run on a daily/weekly basis rather than just at period end. Thus the accounting system can give you insight on a daily/weekly basis. Finally consolidations could also be run on the original accounting data. Data replication would become obsolete, some consolidation functionality could even be run on the fly in reporting. ! Achtung Demo ! Receivables Manager 24
  • 25. Throughput Boost data throughput by overcoming the lock issue and reducing data volume to be posted (Non)-Reconcialition No reconciliation because of ‚One Document‘ Flexibility One starting point to extend and adapt simply and straightforwardly Data Volume Reduce data volume dramatically by eliminating redundancies Performance Expectation: achieve identical response times as before plus optimize 25
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  • 29. In the traditional period close, the system created a list of valid orders and then looped through this order list to calculate e.g. WIP for each order in turn. This resulted in relatively small selects with an aggregation per order. This procedure did not benefit from the HANA architecture (in fact sometimes it was slower than on a classic database). In the new approach, stored procedures on HANA are used to select the valid orders, then the costs per order and to aggregate this data so that it is ready for use in the relevant calculation (WIP calculation, variance calculation, results analysis,…) Instead of calculating e.g. work in process for each order in turn, the system returns to ABAP to perform the calculation on the whole data set and update the tables with the results of the calculation. This results in significant performance improvements. 29
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  • 31. Among business intelligence disciplines, prediction provides the most business value but is also the most complex. Each discipline builds on the one below it – these are additive, not exclusive, in practice [[Analysis is probably better described as “How did it happen”. The why is part of predictive.]] Reporting, what happened, is the traditional capability which we also have in an OLTP system. Analysis requires slice and dice and good visualization, to analyze “how did it happen” or “why did it happen”. Monitoring is typically built with dash boards and scorecards, what’s happening now. Our objective is to reduce the ‘complexity’ by embedding predictive capabilities in our BI client tools and business applications. Examples for this are Cash and Liquidity Forecast and Credit Risk Analysis, Market Risk Analysis. 31
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  • 37. In a traditional model we run actual processing and budget control in an OLTP system, the blue boxes on the left side, and planning and forecasting in a OLAP system, green and orange box on the right side. With HANA we run both in the same system. The advantages are:  Actuals and planning are based on the same data model. If you extend eg the accounting model for profitability analysis, the planning model is likewise adjusted. This simplifies system maintenance. Model extension can be like adding dimensions or configuration of allocations.  The actuals are always available for planning and forecasting, no replication into a planning system is needed. This increases the time to act eg for cash forecasting.  Data needed for budget control in your transactions is available once the planning and budgeting process is finished, there is no need to “retract” any data back from a planning system to transactional system Thus the advantage is simplification of the system. 37
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