Sap hana rds for financial predictive analytics

SAP HANA Rapid Implementation

Real-Time Financial Predictive Analytics - Part #1

Raju Malapati Jothi Periasamy

Cube Insights ~ Business Foresight

http://www.decisiontreeanalytics.com/


Executive Summary

Business Challenges

SAP HANA Out Of The Box Functions

Our Readily Deployable SAP HANA Solution - Financial Analytics

Pre-Configured Solution Process Flow

Pre-Configured Solution Reference Architecture

Pre-Configured Solution Capabilities

Pre-Configured Solution Key Functions

Pre-Configured Solution Building Blocks

Pre-Configured Solution Demo - “a Step By Step Approach”

Our Solutions User Experience

Our Key Differentiators

Our Contact

Financial Analytics Pre-Configured Industry Solutions

An Accelerated SAP HANA

Implementation

Content


The purpose of this demonstration is to provide enough functional and technical details about

our readily deployable financial analytics solutions enabled by SAP HANA technologies.

In this demo, Viewers will learn about our out of the box analytics capabilities, including

planning, forecasting, simulations, scenario analysis, and business insights. Also users will learn

how our pre-configured solutions will cut-down the implementation time, and risk and cost.

Our readily deployable solutions uses the out of the box key functions of SAP HANA 1.0

including dynamic data modelling, currency conversion, hierarchies and other solutions artifices

like sequences, synonyms, triggers, stored procedure, and etc.

Our advanced analytics solution adopts real-time data acquisition from SAP ECC through SAP

landscape transformation (SLT) and near real-time data acquisition from non-SAP and external

systems through Business Objects® Data Services (BODS)

Users will experience our hosted solutions over an Amazon cloud infrastructure (AWS).



Implementation

Executive Summary


Real-time data and timeliness

Heavily rely on spreadsheets or wait until close cycle to measure business performances

Struggle to obtain timely and relevant information due to increase in volume and fragmented

across disparate systems and sources.

Cross functional data (Oracle , PS, JDE, etc.)Truly understand the driving factors of business by integrating data across enterprise value

chain - HR, SCM, CRM and financial management systems etc.

Structured and un-structured data – Big Data

Rapidly growing social media age emphasizes need to integrate unstructured data, the data

from customer emails, forum, blog, video and elsewhere that doesn’t fit into a relational

database, with structured business transaction

Information and Analytics driven enterprise Better predict changing business circumstances and faster react to dynamic market

condition Ever increasing regulatory reporting needs Leveraging, not replacing existing IT investments



Implementation

Business Challenges


Column and Row Store Tables

SLT Functions for Real-Time Data Acquisition from SAP ECC

Data Services Interface for Non SAP Data Acquisition

Database Object Import and Export Functions

Flexible Data Model - Attribute, Analytical and Calculation (Graphical and SQL Script)

Hierarchies (Level Based & Parent Child)

Dynamic Currency Conversion with User selection of Currency

In-Memory Calculations (Functions, Procedures and Database Triggers)

Decision Tables

Counters

Synonyms and Sequences

Security (Users, Roles and Analytical Privilege)



Implementation

SAP HANA Out Of the Box Functions




Implementation

Our Solution – Process Flow


Data Source SAP ECC

Data Source Oracle

Data Source JDE/PS

North America Operations

Middle East Asia Operations

Asia PacificOperations

SAP HANA

SAPBW

SAP Business Objects Platform

SAP Business Objects Multisource Universe

Reports Dashboard

Data Sources

OLAPLayer

Simulations

Scenario Analysis

Forecasting

Predictive Analytics

Semantic Layer

AnalyticsLayer

Our Solution - Architecture

SLTData Services

SAPBODS

Plan Data

Flat File

Hyperion



Implementation


Our rapidly deployable solutions has been pre-configured to address the following key business functions.

Data management Information architecture, Data modeling, Data governance, Data quality and

Analyzing Financial Performances View Financial performance by Multiple Dimensions and Time Periods

Analyze real-time financial information through in-memory Analytics

Preconfigured what-if scenario analysis of Key Performance Indicators(KPI)

Variance analysis through Actual vs. Budget, Actual vs. Forecast etc

Real-Time Reporting Processing Massive Volume of Data – Big Data Secure Data Access Self Servicing Capabilities Cloud Infrastructure Mobile Enabled

Our Solution – Key Capabilities



Implementation


Our Solution – Pre-Configured Functions

Real-time data collection

Near real-time data collection from non SAP

system

Financial key performance indicators (KPI)

SAP HANA financial model

SAP HANA financial in-memory calculations

Dynamic currency conversion

Debit and credit adjustments

Account mapping and hierarchy



Implementation

Real-time financial reports

Operational and management reports

Planning and forecasting

Variance analysis

Real-time dashboards

Data visualization

Simulations

Scenario analysis


Our Pre-Configured Real-Time Analytics

P&L Analysis Balance Sheet Analysis

Cash Flow Analysis P&L Forecast Cash Flow Forecast

P&L Prediction Cost Allocation

Variance Analysis

Sco

pe o

f Real-T

ime A

nalysis



Implementation


We are Powered by

Our Solution – Building Blocks




Our Solution Building Blocks

Group(Corporate)

Entity Operating Structure : Sample

North America Region

Subsidiary Canada

Subsidiary USA

Asia Pacific Region

Subsidiary Singapore

Subsidiary India

Europe Region

Subsidiary Germany

Subsidiary UK



Implementation


Our Solution Building Blocks

Group(Corporate)

Entity Intercompany Transactions : Sample

Asia Pacific Region

Subsidiary Singapore

Subsidiary India

IntCo

IntCo

- Seller

- Seller

- Buyer

North America Region

Subsidiary USA

Subsidiary Canada

- Buyer

Europe Region

Subsidiary UK

Subsidiary Germany



Implementation


GL Account Structure : Sample

Our Solutions Building Blocks

Client

General Electric

Charts of Accounts

CAUS

Charts of Accounts

INT

Charts of Accounts

CABANK

C3050(Company

Code)

AircraftEngines

USA German Global

C1050(Company

Code)

Appliances

C3070(Company

Code)

AviationServices

C1000(Company

Code)

Lightning

F300(Company

Code)

Global Finance



Implementation


SA

P H

AN

A L

og

ical Mo

del: F

inan

cial




Implementation


SAP HANA Physical Data Model: Financial




Implementation



SAP HANA Calculation View – CE Script



Implementation


SAP HANA Hierarchy


Hierarchy Data

Hierarchy StructureAttribute View with Hierarchy



Implementation


SAP BO Universe Semantic Data Layer : Financial




Implementation


We are Powered by

Our Solution - User Experience




Real-Time Dashboard



Implementation




Implementation

Operational Reports




Implementation

Operational Reports




Implementation

Operational Reports


Our Key Differentiators

Readily deployable hosted solutions

Using combination of SAP's best practices and our proven methodology to accelerate implementation, low risk and cost

Business can realize their future state from day one

Reference architecture

Predefined data model, views, and functions

Easy to customize and adopt business changes

Support for future software upgrades/patches

Flexible deployment plan and rollout strategy

Wide range of engagements within SAP and the SAP ecosystem to keep abreast of latest tools and technologies

• Solution Build and Optimize

• Support• Enhance

ments

• Rapid Deployment

• Design Audit

• Strategy• Roadmap• POC

Research Advisory

Implementation

Sustainability

SAP HANABig Data



Implementation


Our Research and Innovation Team

Mr. Satya Vipperla - SME, SAP HANA and BI Solutions Architect

Mr. Purnaram Kodavatiganti - SME, SAP HANA and BI Solutions Architect

Mr. Minesh Amin - SME, SAP HANA, HADOOP and BI Solutions Expert

Mr. Raju Malapati - SME, SAP HANA and BI Solutions Architect

Mr. Jothi Periasamy - Chief SAP HANA Architect and Big Data Scientist

Authors

Scientists

[email protected]

http://www.CubeInsights.com



Implementation

mailto:[email protected]

http://www.cubeinsights.com/


Technology

Sap hana rds for financial predictive analytics