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A concept for the visual and interactive impact analysis and simulationof data changes to enterprise metrics

Kickoff Presentation

10.04.2014 Master Thesis Matti Maier 1

Index

• Example

– Problem

– Databasis

– Model

• Components

– Requirements

• Technology

• Goals

• Methodology

• Roadmap


Example (I): Problem


Mr. SmithHead of Accounting

What happens with our KPIs if……we increase our sales price?…the energy costs increase?…we lower labor costs?

Data

Example (II): Databasis


Example (III): Accounting in Hotel Business


Room Rate

Breakfast

Dinner

Additional Charges

Material

Staff

Fixed Costs

Fare

Guests

Earnings

Variable Costs

Gross Margin

Profit

€

€

€

€

€

€

€

+

x

+

-

-

Energy€+

#

+

Room Charges

Invoice+∑

Material Invoices

Energy Costs

Loans and Wages

Fees, Insurance

∑

∑

∑

∑

Components and their Dependencies

10.04.2014 Master Thesis Matti Maier

Model

6

Data Store

User Interface

Simulation Engine

definesResults

Parameter

Calculations

Metadata Databasis

Requirements (I): Web UI

Functional

• Definition of model

• Interactively changinginfluencing factors

• Edit data basis for calculation

• Visualization of the results on the model

• Web application running in a browser

Non-Functional

• Response times allowing user interaction

• Usability


Web Application Mockup


Requirements (II): Model

Functional

• Define Dependencies

• Define Operations

• Persist model

• Model references metadata

Non-Functional

• Fast access to model data


Requirements (III): Simulation Engine

• Functional

– Can run on operational data store

– Calculations based on model

– Changed influence factors from UI

– Returns the results to UI

– Additional data is regarded

• Non-Functional

– Documented Code

– Use standards where applicable


Technology


Database

Web Server

Browser

INFRASTRUCTURE

H2 Database EngineOpen Source In-Memory Datenbank

Apache TomcatOpen Source Application Serverfor Java Enterprise Applications

REST

Data-Driven Documents (D3.js)Open Source Document Manipulation Frameworkin JavaScript

JDBC / SQL Txl

TriciaHybrid Wiki

jQueryJavaScript Library

Goals

Interactive simulation of theimpact of inflencing factorson metrics

Near realtime visualization ofthe impact in a graph


Methodology


Business Case

Requirements

Technical Concept

Prototype

Documentation

• Definition of use cases and possible questions• Goal to answer the question with the models

• Business requirements elicitation• Technical requirements elicitation

• Technology selection• Solution/Prototype Architecture

• Implementation of the prototype

• Answering the questions• Documentation of the results

Phase Work Package CW 12 CW 13 CW 14 CW 15 CW 16 CW 17 CW 18 CW 19 CW 20 CW 21 CW 22 CW 23 CW 24 CW 25 CW 26 CW 27 CW 28 CW 29 CW 30 CW 31 CW 32 CW 33 CW 34 CW 35

Preparation Abstract

Kickoff

Presentation

Business Case Use Cases

Goals

Requirements Business

Requirements

Technical

Requirements

Research Visualization

Calculation

Patterns

Tech. Concept Technology

Selection

Architecture

Prototype

Implementation

Development

Setup

Generate

Testdata

Web UI

Model

Transformation

Calculation

Engine

Data Source

Connection

Testing &

Debugging

Documentation Answer

Questions

Documentation

Finalization

Final

Presentation

Print & Submit

March April May June July August

Roadmap


TODAY


A concept for the visual and interactive impact analysis and simulation of data changes to enterprise metrics

BACKUP


Visualization in D3js


Visualization Gephi


Visualization GraphStream


Hotel Business: Datasize Approximation

No. Rooms Occupation Stays Receipts

50 70% 21.718 7.239

100 70% 43.435 14.478

250 65% 100.831 33.610

500 60% 186.150 62.050

1000 60% 372.300 124.100

1500 60% 558.450 186.150


Time: 1 year = 365 daysReceipts / Stay: 3Beds / Room 1.7

Other Technologies


Data

Web Server

Browser

INFRASTRUCTURESAP Stack Java Stack

SAP HANAIn-Memory Database

Apache DerbyOpen Source In-Memory Database

JDBC

SAP AS JavaProprietärer Application Serverfor Java Enterprise Applications

Apache TomcatOpen Source Application Serverfor Java Enterprise Applications

REST

SAP OpenUI 5Open Source UI-Framework

Data-Driven Documents (D3.js)Open Source Document Manipulation Frameworkin JavaScript

GraphStreamOpen Source Java Graph Library

VaadinOpen Source Webanwendungs-Frameworkfor Rich Internet Applications (RIA)

Transformation


{

Model: {Name:myModel},

Nodes: [

…

]

}

Model.json

SELECT sum(fieldname)

FROM table

WHERE datum <= now()

GROUP BY guest;

SQL Statements

public void simulate()

{

if(node == leaf) …

else …

return …;

}

Application Code

{

Model: {Name:myModel},

Nodes: [

…

]

}

Result.json

SELECT sum(fieldname)

FROM table

WHERE datum <= now()

GROUP BY guest;

Txl Statements

EAM: Complexity Metrics


Complexity

Heterogenity

Topology

Industry

Interface Implementation (Appl.)

Interface Implementation (Dom.)

Operating System

Operating System Type

Programming Language

Number of Information Flows

Number ofInfrastructure Elements

Functional Redundancy

Periphery

Propagation Cost

Number ofApplications

Standard Conformity

Functional Scope

Application Type

Business Function

ComponentCategory

Coupled Domain

Data Base

Core

Control

Shared

EAM: Industry Metrics


Industry

Number of Applicationsper Domain

Number ofInformation Flows

Standard Conformity

Number of Infra-structure Components

Functional Scope (FP)

Functional Scope (BF)

Total Number ofInformation Flows

Average Number ofInformation Flows

Total Number of Infra-structure Components

Average Number ofInfrastructure Comp.

Group by application Group by domain

Sum ofcustomizationLevel

TotalFunctional Scope (FP)

AverageFunctional Scope (FP)

TotalFunctional Scope (BF)

AverageFunctional Scope (BF)

EAM: Sample Questions

What happens if…

…the number of operating systems increases?

…we increase the use of standard software?

…the functionality of our applications increases?


Answers on EAM complexity metrics basis

EAM: Challenges

• Models of large size

– Complex to understand from a user perspective

• Complex operations for heterogenity andtopological metrics

– Matrix Calculation

– Transitivity

• Main Information is in relations between objects, not in the objects themselves

– Many aggregations

– Many joins / unions


Web Application: Screenshot


Example: Calculated Model


Web Application Mockup: Sidebar bottom


Web Application Mockup: Others


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