Cornerstone - camLine...OSRAM Opto Semiconductors GmbH (DE) Efficiently work with a consistent and...

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Cornerstone 7.1 Empower your team in Engineering Analytics

Transcript of Cornerstone - camLine...OSRAM Opto Semiconductors GmbH (DE) Efficiently work with a consistent and...

Cornerstone 7.1Empower your team in Engineering Analytics

www.camLine.com

Cornerstone data

analysis software

allows efficient

work to design

experiments

and explore

data, analyze

dependencies,

and find answers

you can act upon,

immediately,

interactively,

and without any

programming.

Statistics made for engineers

Engineers rely on statistical techniques

including Design of Experiments (DoE), re-

gression analyses, and multivariate analy-

sis. With a highly intuitive and interactive

user interface, individuals or entire teams

obtain a flexible tool that is applicable in

multiple disciplines – i. e. manufacturing,

research, development, quality assurance,

and education.

The workmap plays an important role rep-

resenting a central concept. You find and

establish your analyzes with a graphical

approach. With workmaps, you keep track

of how data gradually become information,

from datasets through analyses to visual-

ization. You can reuse the same structure /

flows for future data or other data sources.

Extensibility is provided by the Corner-

stone Extension Language (CEL), an Ap-

plication Programming Interface to realize

new dialogs, menus, or analyses functions.

The black boxing capability given by CEL

supports IP protection for unique and

competitive advantage implementation of

analysis algorithms.

You get direct and interactive access to the

R environment for statistical computing

and graphics.

camLine’s real-time systems (LineWorks,

SPACE, XperiDesk, InFrame Synpase MES)

are perfectly supplemented by interactive

data analyses and process optimization

capabilities. The fast statistics tool is easy to

use and compact:

• Model DoEs and generate more knowl-

edge from your experiments

• Analyze and explore data (batch and

interactive) from multiple and diverse

data sources

• You get astonishing graph visualiza-

tions, workmap recording, re-usable

workflows, and tools like brushing,

linked reference lines, or curve pasting

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“After first getting

used to Cornerstone,

the tool is very

profitable.”

Dr. Thomas Weig,

Development

Engineer,

OSRAM Opto

Semiconductors

GmbH (DE)

Efficiently work with a consistent and smart approach

Your analyses are always up to date. The

consistent and interactive linking of your

data with subsequently derived graphs,

analyses, results, and reports is preserved,

even when your data changes or you

switch to other data sources of the same

structure. You do not need to program or

execute any scripts. Instead, you use the

workmap. You can quickly sift and work

through large amounts of data. The com-

puting power provided will ensure that you

can interactively and efficiently work even

when dealing with Big or Smart Data.

In a wide range of application fields, most

engineers and scientists needs will be

satisfied. This does not require complicat-

ed approaches. With a smart set of generic

statistical methods and graph types, your

work will be remarkably efficient but nev-

ertheless at high quality.

In most cases, you do not have to leave

the application. You analyze dependencies

among data groups. You test hypotheses

and build predictive models. High level

graphics and reports are immediately suit-

able for presentations with direct updating

of the reports.

Your decisions will be much better based

on facts. Your conclusions are substantiated

by valid analyses.

Both, novice and experts of statistics

benefit from a modern and smart approach

through increased work efficiency and

minimized training time.

The included manuals were created as text-

books that allow to quickly start with a set

of standard statistical methods. You profit

from detailed guides, how to effectively

implement these statistical methods. For

all statistical objects, a direct interpretative

aid is available.

EngineeringAnalytics

www.camLine.com

Take advantage of

analysis workflows

from previous

projects and

quickly adapt them

to new problems.

Practical for daily use in engineering

• Lean user interface

• Powerful visualization capabilities

• Workmaps graphically document your

analyses workflow

• Report designer to present your data and

analyses results

Even without the application of a formal

statistical method, you already have mul-

tiple views on your data at the same time

that help to …

… find out dependencies,

… understand correlations,

… discover anomalies.

For example, to visualize the context of

selected points, you simply touch them in

a graph with the brushing tool. The data

will be highlighted correspondingly in all

affected graphs and datasets.

You can combine graphs with tabular

results and arrange them in final reports.

With only a few consistent graph types,

the essentials of graphical data analysis is

being covered.

Via clipboard and with standard file and

document formats (e. g. MS Word, Power-

Point), you can export your analyses re-

sults into other graphic tools and software

applications.

Access to data sources – You have direct,

transparent access to data stored in re-

mote database sources that are accessible

via ODBC with open access to SQL code.

Spreadsheet formats like Excel can be read

as well as ASCII files. An automatic reread

of data from its source is supported. Any

number of files of same column structure

can be read into a single dataset simul-

taneously. Drag & Drop of datasets and

workmaps accelerate data acquisition.

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“The new designed

toolbars, menus, icons,

and shortcuts are very

useful.”

Dr. Thomas Bauer,

Key-Expert Data Mining

& Optimization, OSRAM

Opto Semiconductors

GmbH (DE)

Workmaps make your analysis process-

es reusable – As you analyze data, the

workmap automatically records each step

of your analysis process in the appropriate

order. A workmap contains all the individ-

ual analyses steps, data and derived data,

subsets, presentation styles, tables, graphs,

analyses objects, and reports.

The workmap window shows all the in-

dividual components in the form of icons

linked by arrows. The arrows visualize the

data flow and the dependencies of datasets,

analyses, graphs, and the final reports.

Workmaps and their components can be

continued processing. In general, they are

reusable, i. e. generically applicable. No

scripting language is necessary in Corner-

stone since this is an intrinsic function of

the workmap. Different data source files

can be merged into a single workmap.

Workmaps visualize your analyses

workflow by connected live elements.

The graphs are often the starting point for

analyses and discovery. Your workflow in-

tegrates data access, visualization, analysis,

and presentation in one package.

• Workmaps automatically record each

step in your analysis process

• Workmaps display your datasets, graphs,

and analysis objects

• Diagrams show where the different

graphs, tables, and analysis objects are

derived from

• Many datasets can be read into a single

workmap

• Graphs can be joined even if they come

from different datasets

Workmaps – find and analyze with a graphical approach

EngineeringAnalytics

www.camLine.com

“The icons are

very helpful and

understandable”

Josef Betschart,

Consultant (CH)

• Apply Design of Experiments (DoE)

• Perform technical data analyses

• Model and optimize processes

• Capture workflow for re-use

• Present data at high quality

• Use extensive statistical functions

• Accomplish these tasks specifically and

in record speed

• Build your own application with the

Cornerstone Extension Language (CEL)

Cornerstone extension language (CEL)

• Customize Cornerstone particularly

to your specific needs – for a flexible

extension of the standard functional-

ity, Cornerstone also includes an own

integrated, object-oriented development

environment

• You can use Cornerstone Extension

Language (CEL) to create applications,

new dialogs, menus, and other analyses

functions

• The open architecture, coupled with

CEL, allows you to meet specific re-

quirements of your organization. Or you

integrate the provided capabilities with

other software applications.

Design, explore, and analyze data

www.camLine.com

“Extremely

practical and useful.

Cornerstone saves

us a lot of manual

work when creating

reports.”

Joachim Sudbrock,

Product Engineering,

OSRAM Opto

Semiconductors

GmbH (DE)

• Engineer oriented execution of statis-

tics tasks without being burdened with

statistics details

• Reduce the amount of experiments via

statistically optimized experiment plans

and speed up overall development

• Optimizing your executed experiments

via structured planning, data collection,

and result analysis

• Automatic capturing compact, reusable

workflows

• Easy and fast correlation detection in the

data even working on Big Data infra-

structure

• Fast finding of a usable process model

and root-cause analysis via exploratory

and visual data analysis

Gain more information with less effort by

better usability:

• Understand results quickly and easily

• Benefit from example use cases of others

Save time and money

EngineeringAnalytics

www.camLine.com

Cornerstone

provides the

necessary

statistical methods

compact and clear

to engineers.

Core functions

The Design of Experiments (DoE) compo-

nent contains a step-by-step guide to suc-

cessfully perform designed experiments.

DoE supports advanced techniques like

constraints in design space, inclusion runs,

accessible candidate set for algorithmic

designs, methods to perform robustness

(Taguchi) or mixture designs.

The Regression component also covers

ANOVA methods and helps model and im-

prove your process on study. You can like-

wise handle DoE or historical data. You cre-

ate and refine models that describe one or

multiple responses as a function of one or

more either scaled or categorical predictors.

All features are supported like arbitrary

high order expansion, stepwise regression,

Box-Cox transformation, residual analy-

sis in an unsurpassed compact workflow.

A standardized regression workflow eases

and sturdies your work.

MANOVA offers analyses techniques to

compare groups based on multivariate

data. You can investigate, whether the

groups are different and how the differenc-

es are determined by the analyzed vari-

ables. Use MANOVA also for discriminant

analysis.

Principal Components Analysis is a tech-

nique for reducing the number of variables

needed to represent the dependencies in

your data. It is also a preliminary step for

regression analysis in case of correlated

predictors that otherwise cannot be ade-

quately analyzed (regression on principal

components). This direct combination of

both steps is supported.

Interface

Regression

ANOVA

Correlations

PrincipalComponents

ExploratoryData Analysis

(Big) DataVisualization

DistributionFitting

Process Capability

Integrationand

Linking

DiscriminantAnalysis

MANOVA

SummaryStatistics

Tests

StatisticalProcess Control

Lean Six Sigma

Design ofExperiments

Data AcquisitionManipulation Cornerstone Cornerstone

ExtensionLanguage (CEL)

www.camLine.com

The menu design

leads downright

according to the

sequence of typical

analysis steps.

The R integration gives you access to all

functions of the R environment for statisti-

cal computing and graphics. The interface

even allows to “brush through R”. This way,

you can iteratively leverage the visual pow-

er in combination with the newest statisti-

cal methods in R.

Exploratory Data Analysis – Tools such as

interactive graphs with brushing or label-

ing support your work, practically before

you need to consider inferential statistical

methods.

Summary Statistics and Test – Create

statistics (mean, median, standard-devia-

tion etc.) with confidence bands. Grouping

allows comparisons and data aggregation.

Standard Tests (i. e. normal distribution,

comparison of means and variances) per-

form basic statistical inference.

Statistical Process Control is a powerful

tool for monitoring your actual production

process, identifying assignable causes for

quality deviations. As an integral part of

the Six Sigma methodology, you can create

control charts for overseeing and improv-

ing your processes.

Distribution Fitting and Capability – You

interactively fit distribution models to your

data. Process capability indexes like Cp and

Cpk quantify the quality of your processes

to fulfill customers’ requirements.

Six Sigma and Kaizen – For these concepts

of process improvement, the approach

intentionally addresses the level of engi-

neers’ tasks. Its smart concept is clearly

results-oriented. It shortens both training

times, as well as the overall analyses efforts

to achieve meaningful results.

EngineeringAnalytics

www.camLine.com

“I like CS very much!

Very convenient!

The best of the new

Cornerstone version

are the symbols!”

Bernhard Wagner

Packaging Technology,

Engineering Pharma

Service,

Robert Bosch GmbH

• Novel Multicategory Chart

— Multiple histograms where the histogram bars of each categorical variable are

stacked on top of each other and the variables are then arranged, side-by-side

— Insight in very many categorical variables acting on process behavior on one sight

— Enhance main Cornerstone graphs to several discrete axes

• New Multi-Vari-Chart allows several categorical variables drawn at the same time includ-

ing reordering

• Improved Graphs

— Anti-aliasing

— Flexible and complete color palettes

— Graphs / brush with “transparency” feature showing concentration of (mass) data

• High quality picture export to png with all fonts and gradients

• New interfaces and drivers to interact with Big Data infrastructure such as Apache Cas-

sandra and Apache Spark

• Engineering notation format

• CEL extensions, e. g. Linked Reference Line

• Addition of filters to various selector dialogs

• Automated installation of the rscproxy library for the R interface

• Various performance enhancements

• Many small improvements in specific details

Highlights of Version 7.1

Cornerstone

SparkR

MLlib

Spark’s R interface

Machine Learning Librarydire

ct O

DBC

acc

ess

DATASTAX SparkCassandra Connector

1

2

www.camLine.com

Control Charts

Process Capability

Principal Components

Regression

DoE

MANOVA

Analysis

Graphtools

Graphs

Dataset

Workmap

CONTACT CAMLINE [email protected] +49 (0) 8137 935-0

PLATFORMS www.camline.com/en/camline/

platforms.html

CAMLINE HOMEPAGE www.camLine.com

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