Showing posts with label SAP. Show all posts
Showing posts with label SAP. Show all posts
Saturday, May 31, 2014
Tuesday, May 27, 2014
SAP Smart Financials 1.0
We see the next evolution of SAP Business Suite
on HANA for Financials in Smart Financials 1.0
SAP Smart Financials 1.0 has new functional
features, thanks to the underlying SAP HANA. The is to have
- More granularity for better reporting, and
- Faster close (by removing the reconciliation effort)
SAP Smart Financials is not just a technical
change, to implement a good Change Management strategy and high adoption rate
is required.
Financial Planning with SAP Smart Financials 1.0
- The one area which interests me is Financial Planning,
Smart Financial data is not available in ERP (as of release 1.0) . This is
not a major issue if users report variance in BI. (The release note says
the data is stored in BI).
- Any processing of financial planning is not supported.
This implies users loose 'Integrated' planning scenarios in ERP. It is not good
news for clients which use the Integrated Financial Planning feature in
SAP ERP.
This above changes should not be a surprise as
SAP has been commited on SAP EPM as the planning solution.
To read more about the release note click
here SAP Smart Financial Release Notes. Select SAP
solutions > SAP ERP Add-Ons > Smart Financials
Comparison of SAP Smart Financials, New GL and Old GL
Smart Financials 1.0 (SAP ERP on HANA) (2013)
|
New General Ledger (2005)
|
Old General Ledger
| |
Compatible with New GL only
| |||
Data Storage
|
Document tables and line item tables
|
Document tables, line item tables, indexes
|
Document tables, line item tables, indexes, has different FI/CO tables
|
Totals table
|
None, no inconsistencies between FI
documents and totals tables
|
Yes along with document/line item tables
|
Yes along with document/line item tables
|
Views
|
Tables (index) are replaced by views. View are available for BSIS, BSAS, GLTO, FAGLFLEXT
| ||
Special Purpose Ledgers (SPL)
|
Not available
|
Available, Can use ‘Ledgers’ concept
|
Available
|
Credit Management
|
Recommends FSCM-Credit Management (FSCM-AR)
|
FSCM-AR, FIN-AR-CR
|
FSCM-AR*, FIN-AR-CR
|
Asset Accounting
|
New Asset Accounting replaces Classical Asset Accounting
|
Classical Asset Accounting
|
Classical Asset Accounting
|
Constraints
|
- Balance Sheet Planning no longer available
- Reports for comparing planning data and actual data in Profit Center Accounting
- Destruction of data or deletion of FI documents (Information Lifecycle
Management)
|
New Features in SAP Smart
Financials 1.0
New Asset Accounting: Ledger Approach and
Accounts Approach
·
With Smart Financials
both the actual values of the leading valuation and the values of parallel
valuation in real time.
Line Item Based Controlling with Period Close
Optimizations (Enhanced)
Variance Calculation for Cost Centers (Changed)
·
Option to process the
controlling area currency only or both the controlling area currency and the
cost object currency.
·
The execution time for
processing the controlling area currency only is around half that required for
processing the controlling area currency and object currency
WIP Calculation and Results Analysis (Changed)
·
The production orders
are valued at actual cost for the selected plant with the defined legal
valuation for a single result analysis version
·
Customer enhancement
and WIP calculation for product cost collectors and process orders are not
supported
·
Multiple valuations is
not supported
Variance Calculation for Production Orders
(Changed)
·
Accelerated collective
variance calculation on production orders compares the target costs (in the
form of standard costs) with the control costs (actual cost less scrap cost) of
all production orders in the plant, and assigns the resulting variances to
variance categories
Smart Financials Reporting (New)
·
Line items reports
supported SAP HANA
Integrated Business Planning (New)
·
In the first release
of this new planning solution, the development of functionality has been
focused on enabling plan data capturing in a very user-friendly way.
·
If further plan data
processing is necessary, releasing them to the classic FI/CO plan data tables
may be considered in future releases
Tuesday, June 4, 2013
Profitability Analysis in SAP BPC with HANA
If you have a background in SAP COPA (Controlling-Profitability
Analysis) and wondered if similar planning can be done in SAP BPC, you will
find this article interesting.
SAP COPA is a great tool to collect the
actual data, but does not have a good user interface for planning. Users of
COPA usually plan in Microsoft Excel sheet and plugin the values in COPA
planning templates. This defeats the whole purpose of interactive planning.
This is due to the fact the templates are not flexible and cannot be generated
dynamically.
The other limitation is COPA can have 50
Characters, whereas a BPC Model ('Application' in 7.5 am older versions) can
have only 20. An Environment ('ApplicationSet' in BPC 7.5 an older versions)
can have 50 or more dimensions, if required we can create multiple Models each with
different sets of COPA characteristic (or Characteristic groups) and join them
using a common denominator (e.g. a segment).
We have helped clients to address COPA
planning limitations in BPC. Contact us to
discuss your case scenario.
With HANA, many limitations of COPA using
traditional database can be overcome. We will cover COPA+HANA in over next
blog.
Monday, May 20, 2013
Google BigQuery, SAP HANA- Cloud Solutions
Week of May 13th, 2013 was a big deal for SAP and Google. Two major events were held-SAPHIRE in Orlando and Developer I/O 2013 in San Francisco.
I was lucky to get a Google I/O 2013 ticket, and be on of the 6000 participants. My objective was to learn about Google BigQuery and Google Apps Script.
Both companies are competitors in Cloud based 'Analysis or massive database' , SAP HANA has two product versions 'Appliance ' (Hardware and Software) and 'Cloud'. Where as Google has Cloud solution BigQuery.
SWOT
|
SAP HANA Appliance
|
SAP HANA Cloud
|
Google BigQuery
|
Strengths
|
- Strong SAP Products/Branding
|
- No downtime
- Good for Ad hoc requirements
|
- Good Enterprise Cloud offerings
- No downtime
- Good for Ad hoc requirements
- Good Developer community
|
Weakness
|
- Maybe costs and downtime
|
- Dependency on AWA (Amazon web services) for cloud storage
|
- Provides tools, not business suits
- some products are evolving (e.g. Data Visualization)
|
Opportunities
|
- Increase production adoption
- Conversion from Cloud version
- Use as database for other applications
|
- Use as database for other applications
- Convert clients with web security concerns
- Encourage Developer community to build solutions
|
- Use as database for other applications (using Compute Engine)
- Convert clients with web security concerns
|
Threats
|
- Cloud products, and other Appliances
|
- Google BigQuery, Maybe Amazon
|
- Maybe Amazon
|
There were two client presentations on BigQuery - Gamesys and Shutterfly, these clients also use Google Apps Script for data visualization/reporting.
Here are the two Google BigQuery recordings
Big Data Mashups: Enabling Next Generation Analytics Using BigQuery
Here Be BigQuery: Building Social Gaming Infrastructure on the Google Cloud Platform
Another interesting project was All the Ships in the World: Visualizing Data with Google Cloud and Maps, which integrate many Google technologies to visualize real time Data.
I see SAP ideologically now being more open, proving more resources to developers and planning more Cloud based products.
It will be interesting to see how enterprise Cloud database and analysis tools will evolve and their acceptance.
Here are the two Google BigQuery recordings
Big Data Mashups: Enabling Next Generation Analytics Using BigQuery
Here Be BigQuery: Building Social Gaming Infrastructure on the Google Cloud Platform
Another interesting project was All the Ships in the World: Visualizing Data with Google Cloud and Maps, which integrate many Google technologies to visualize real time Data.
I see SAP ideologically now being more open, proving more resources to developers and planning more Cloud based products.
It will be interesting to see how enterprise Cloud database and analysis tools will evolve and their acceptance.
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