Overview of HANA and S/4 HANA:

Technical Overview

Implementation Pre Requisites

Importance of Universal Journal

Central Finance

Changes in Reporting Options

Introduction to FIORI

General Ledger:

Ledger

Currencies

CO Integration

Replaced/Removed Customizing Activities

Asset Accounting:

Features of New Asset Accounting

Prerequisites for new architecture

New customizations in the system powered by S/4 HANA

Depreciation Calculation changes

Management Accounting:

Account assignments in Universal Journal

COPA Characteristics in Universal Journal

Accounts and Cost elements

COGS Break up in Accounts

Variance Break up in Accounts

Central Finance:

Overview of Central Finance

Mapping and Error handling

Suspense Account purpose

Migrations:

Migration Procedure & Methodology

Pre Requisites of Migration

Data Migration

Post Migration

Data storage in Migration

Changes in SFIN Add-on Versions

OVERVIEW OF SAP HANA :

SAP HANA uses in-memory computing, a breakthrough technology that enables analysis of very large, non-aggregated data at unprecedented speed in local memory (vs. disk-based database) enabling complex analyses, plans and simulations on real-time data.

With the SAP Business Suite powered by SAP HANA, SAP brings together the SAP Business Suite applications and the next generation platform for real-time business SAP HANA and offers a wide range of innovations.

SAP HANA originates from developed or acquired technologies, including TREX search engine, an in-memory column-oriented search engine, PTIME, an in-memory OLTP database acquired by SAP in 2005, and MaxDB with its in-memory liveCache engine. In 2008, teams from SAP AG working with Hasso Plattner Institute and Stanford University demonstrated an application architecture for real-time analytics and aggregation, mentioned as “Hasso’s New Architecture” in SAP executive Vishal Sikka’s blog. Before the name HANA settled in, people referred to this product as New Database.

The product was officially announced in May 2010. In November 2010, SAP AG announced the release of SAP HANA 1.0, an in-memory appliance for business applications and business Intelligence allowing real-time response. The first product shipped in late November 2010. By mid-2011, the technology had attracted interest but the conservative business customers still considered it “in early days”. HANA support for SAP NetWeaver Business Warehouse was announced in September 2011 for availability by November.

In 2012, SAP promoted aspects of cloud computing. In October 2012, SAP announced a variant called HANA One that used a smaller amount of memory on Amazon Web Services for an hourly fee.

In January 2013, SAP enterprise resource planning software from its Business Suite was announced for HANA, and became available by May. In May 2013, a software as a service offering called the HANA Enterprise Cloud service was announced.

Many of these innovations can be implemented in a side-by-side scenario not affecting any of the running systems and not causing any disruption to your IT. However, many of these innovations have the potential to bring your business to the next level: They offer completely new insights into all data inside the SAP Business Suite, enable new powerful analytical scenarios based on internal and external data and with the HANA applications enable complete new business processes.

SAP HANA converges database and application platform capabilities in-memory to transform transactions, analytics, text analysis, predictive and spatial processing so businesses can operate in real-time.

The in-memory data management program is an advanced development program to accelerate the development and delivery of a memory-based data management layer for transactional business applications, planning, data warehousing, and BI tools.

SAP HANA Enterprise 1.0 is an in-memory computing appliance that combines SAP database software with pre-tuned server, storage, and networking hardware from one of several SAP hardware partners. It is designed to support real-time analytic and transactional processing.

What are the technical components that make up HANA?

The heart of SAP HANA Enterprise 1.0 is the SAP In-Memory Database 1.0, a massively parallel processing data store that melds row-based, column-based, and object-based storage techniques. Other components of SAP HANA Enterprise 1.0 include:

1. SAP In-Memory Computing Studio,

2. SAP Host Agent 7.2,

3. SAPCAR 7.10,

4. Sybase Replication Server 15,

5. SAP HANA Load Controller 1.00, and,

6. SAP Landscape Transformation 1 – SHC for ABA.

SAP HANA runs the SUSE Linux Enterprise Server 11 SP1 operating system. It is generally delivered as an on-premise appliance and is available now.

SAP HANA is designed to replicate and ingest structured data from SAP and non-SAP relational databases, applications, and other systems quickly. One of three styles of data replication- trigger-based, ETL-based, or log-based – is used depending on the source system and desired use-case. The replicated data is then stored in RAM rather than loaded onto disk, the traditional form of application data storage. Because the data is stored in-memory, it can be accessed in near real-time by analytic and transactional applications that sit on top of HANA.

SAP has delivered several next-generation, targeted analytic applications designed specifically to leverage the real-time functionality offered by HANA, including SAP Smart Meter Analytics and SAP CO-PA Accelerator. It is developing others focused on analytics related to retail, financial, telecommunications, and other industries and to horizontal use-cases such as human capital management.

HANA is highly-optimized to interface with the SAP Business Objects portfolio of reporting, dash boarding, and other analytic products. SAP plans to add HANA support for Business Warehouse in November, eliminating the need for Business Warehouse Accelerator in most customer environments. SAP is also migrating Business By Design, SAP s on-demand business suite for small and mid-sized businesses, on to HANA. Currently, HANA does not easily support non-SAP analytic or transactional applications without significant application re-architecting.

SAP has not publicly released specific pricing information regarding HANA, but early estimates indicate customers can initially have HANA up and running for under $300,000, including hardware, software, and services. Depending on scale, pricing levels can reach up to $2 million or more. HANA is not capable of storing petabyte-levels of data. However, due to its advanced compression capabilities, HANA deployments can store tens of terabytes of data or more, which is considered large data volumes in most current SAP customer environments.

Enterprises collect large volumes of structured data via legacy ERP, CRM, and other systems. Most struggle to make use of the data while spending large sums to store and protect it. One option to make use of this data is to extract, transform, and load subsets into a traditional enterprise data warehouse for analysis. This process is time-consuming and requires significant investment in related proprietary hardware. The result is often an expensive, bloated EDW that provides little more than backward-looking views of company data.

SAP HANA offers enterprises a new approach to harnessing the value of all that corporate data. As mentioned above, HANA runs on inexpensive commodity hardware from any of several SAP partners, including IBM, Dell, and HP. Its data replication and integration capabilities vastly speed up the process of loading data into the database. And because it uses in-memory storage, applications on top of HANA can access data in near-real time, meaning end-users can gain meaningful insight while there is still time to take meaningful action. HANA can also perform predictive analytics to help organizations plan for future market developments.

Oracle unveiled an in-memory analytic appliance of its own, called Exalytics, at Oracle OpenWorld in October 2011. Among the important differences compared to SAP HANA, Exalytics is designed to run on Sun-only hardware, it is a mash-up of various existing Oracle technologies, and there are few, if any, systems in production. As with all Oracle technologies, the risk of vendor lock-in is high, and the cost is significantly higher than comparable HANA deployments.

Real-time analytics as supported by SAP HANA have numerous potential use cases including:

1. Profitability reporting and forecasting,

2. Retail merchandizing and supply-chain optimization,

3. Security and fraud detection,

4. Energy use monitoring and optimization, and,

5. Telecommunications network monitoring and optimization.

SAP HANA is not a platform for loading, processing, and analyzing huge volumes – petabytes or more – of unstructured data, commonly referred to as big data. Therefore, HANA is not suited for social networking and social media data analytics. For such uses cases, enterprises are better off looking to open-source big-data approaches such as Apache Hadoop or LexisNexis HPCC Systems, or even MPP-based next generation data warehousing appliances like EMC Greenplum or Teradata AsterData.

While SAP has promised a slew of new HANA-optimized applications, currently only a handful are on the market. It is incumbent upon SAP to follow through on its commitment with practical applications that address real-world business problems. Also, SAP HANA is not pre-optimized to support non-SAP applications, which requires significant application re-engineering on the part of enterprise IT groups.

Enterprises are increasingly demanding real-time analytic and transactional processing capabilities from business applications. HANA puts SAP in a good position to deliver such functionality for its customer-base of traditional enterprises. But SAP must balance innovation in the form of HANA and related applications with continuing support for its legacy back-office ERP and other business applications that form the backbone of many an enterprise IT environment.