Process Performance Security with Space-Time Analytic

Process Performance Securitywith

Space-Time AnalyticHow to exceed growth and performance objectives on a high return on investment?

Content

• Current State

• Performance Security

• Why Space-Time Analytic?

• What is Space-Time Analytic?

• Method

• Modelling

• Results

• Efficiency

• Benefits

• Best Practices

• Process Performance Security with Space-Time Analytic

• Process Performance Security - Use Cases & Industries

• Contact Information

4/11/2017 SuccessSingularity inc. 2

Current State

• Nobody questioned the needs of process improvement initiatives over time

• in order to meet fast-paced changes of customer requirements in an increasingly competitive market

• Most of us see the advantage of a well implemented business process management

• as a management philosophy of a continues business process improvement

• But very few of us have the right tools to secure process performance

• for an optimized end to end business operation

• with a flexibility to adjust today’s and tomorrow’s customer requirements in a cost-efficient manner

Performance security is equally important as cyber security

for business growth and success!


Performance Security

• Performance Security for processes

• is the controlled surveillance of the operational effectiveness and efficiency in process entities and process

chain’s.

• Currently available methods to secure performance for processes

• Experimental Trial

• Business Intelligence

• Simulation

• Big Data Analytics

• Artificial Intelligence

• New available method to secure performance for processes

• Space-Time Analytic


Why Space-Time Analytic?

• Cost-effective and cost-efficient implementation

• Self-learn capability in order to minimize model reconfiguration efforts due to a changed

environment

• Detection of current performance risks

• Dependency detection and evaluation between effects and causes of performance risks.

• Derivation of performance improvement potentials

• Supporting process optimization and improvement initiatives

• Controlling the effectiveness of an implemented initiative

• Prediction of potential future performance risks


What is Space-Time Analytic?

• Is the scientifically successful application of foundational research results - from nonlinear

dynamics, chaos theory and Einstein theory of relativity – to real live systems (technically/IT,

socially, economically, etc.) in our society.

• Is based on a system and its surrounding modelling approach

• Utilizes data time series of system descriptive input, output or behavioral key performance

indicators (KPI’s)

• Separates time series, into time series of evolutionary knowledge like causally influence of evolution

and effect of evolution

• Evaluates evolutionary cause and effect relationship of a system and its surrounding

• Derives system dynamic descriptive KPI’s like stability/instability, entropy etc.

• Evaluates the system capability to evolve and grow without risk for failure


Space-Time Analytic - Method


Modelling

Type

Macroscopic Space-Time Analytic

Microscopic

Big Data Analytics

Simulation

NonExperimental

Trial & ErrorBusiness Intelligence

NonAlgebra &

AnalysisStochastic

Differential

Geometry &

Topology

Mathematics

Space-Time Analytic - Modelling


• System and Surrounding coexists and interact always with each other evolutionary

• Input, output and behavioral KPI’s describe the evolutionary coexistence and their interaction

• Data time series containing evolutionary knowledge about system and surrounding

Surrounding

System

Behavioral KPI

Input KPI Output KPI

Space-Time Analytic – Model Example 1


System

Sales

Customer

Service 1

Customer

Service 2

DC 1

? DC2

Surrounding

Input KPI:

[qty, $]

Customer

Orders

Output KPI:

[qty, $]

Customer

Deliveries/

Shipments

• The dynamic of the system order fulfillment performance is completely contained in the time

series of the incoming sales orders and the outgoing shipments

Space-Time Analytic – Model Example 2


System

Machine 1

Machine 3

Machine 2

Machine 4

? Machine 5

SurroundingInput KPI:

[qty, $]

raw

materials

supplied

semi-

finished

Products

Output KPI:

[qty, $]

finished

products

produced

semi-

finished

products

• The production supply at machine 1 (system input KPI) and the production output at machine

5 (system output KPI) describe the dynamic of the whole system performance (machine 1-5)

in their time series

Space-Time Analytic – Results


Future Probability

If-Then

Scenarios

with Probability

Prediction AI Prediction

PresentBinary

Result

Determined

Result

If-Then

ScenariosPattern AI Pattern

PastDetermined

Result

If-Then

ScenariosPattern AI Pattern

Experimental Trial

& Error

Business

IntelligenceSimulation Big Data Analytics

Space-Time

Analytic

Space-Time Analytic - Efficiency


Modelling

driving

Cost &

Time

HighSimulation

MediumBig Data

Analytics

LowSpace-Time

Analytic

NonBusiness

Intelligence

Experimental

Trial & Error

Low Medium HighExtreme

High

Result driving Costs & Time

Space-Time Analytic - Benefits

• Very low modelling costs and time required due to macroscopic model

• Minimal model reconfiguration efforts needed in a changing environment due to a Space-Time Analytic self-learn

capability

• Cost-effective and cost-efficient implementation by a factor 10 in comparison to comparable simulation studies

and big data analytic studies

• Detection of performance risks and their causes holistically possible without microscopic detail knowledge

• Derivation of performance improvement potentials in shorter time possible

• Validation of implemented process optimization and improvement initiatives in real time possible

• Prediction of potential future performance risks causal-holistically possible


Space-Time Analytic – Best Practices

• Phase I – Business Process Evaluation

• Phase II – Business Process Modelling

• Phase III – First initial Modell-Preparation

• Phase IV – Modell Execution and Result Presentation

• Phase V – Ongoing Analytic as a Service Operation


Process Performance Security with

Space-Time Analytic

• Phase I – Business Process Evaluation

➢ The right model for the right performance objectives

• Phase II – Business Process Modelling

➢ The right key performance indicators (KPI’s) for the right model

• Phase III – First initial Modell-Preparation

➢ The right data sets of the right KPI’s

• Phase IV – Modell Execution and Result Presentation

➢ The right answers to the right questions

• Phase V – Ongoing Analytic as a Service Operation

➢ The right surveillance for the right level of performance security


Process Performance SecurityUse Cases & Industries

Use Cases:

• B2B & B2C marketing and sales processes

• Manufacturing processes

• Supply-chain processes

• Sourcing & procurement processes

• Financial service and brokerage processes

• Customer user experience

Industries:

• No limitation


Contact Information

SuccessSingularity inc.

• Owned by: Mr. Torsten Jehsert

• Located in: California

• Phone: (650)-250-6505

• E-Mail: [email protected]

• Webpage: www.SucessSingularity.com


mailto:[email protected]

http://www.sucesssingularity.com/

Thank you!
