SlideShare uma empresa Scribd logo
1 de 2
Baixar para ler offline
© Bioproduction Group. All Rights Reserved. 
1 
Crosswalk is data translation software. Once operations data is accurately seen and understood in real-time, then processes suddenly become transparent. Modeling becomes possible based on real data. Model-based predictions are more accurate, versatile and flexible and lead to better business decisions. Crosswalk helps deliver the best in real-time data that can be used for modeling, analysis and simulation. 
Crosswalk talks directly with your operations databases and turns raw company data into datasets that can be used for real-time analysis by anyone from shop-floor technicians to analysts. From late stage process development to manufacturing and supply chain, everyone will benefit from seeing real manufacturing data, delivered in real-time to your browser. 
“We have lots of data but not real information. With our present systems it is really 
hard to find bottlenecks. 
Data is scattered everywhere and it should be integrated.” 
Team Lead at a Major 
Biotechnology Manufacturer 
“Everyone comes to meetings with reams of reports, spreadsheets, etc. and we negotiate how to go into, and then ramp up, production.” 
Head of Quality Control and Management at a Large Biotechnology Manufacturer 
“We want to leverage the enormous amount of data we’re collecting from SAP, plus local plant data on batch records, and then crunch that enormous amount of data … filtering, analyzing and utilizing all this information.” 
Plant Manager at a Global 
Biotechnology Manufacturer 
Biomanufacturing professionals are overwhelmed with supply chain, production and other important data. There has to be a better way to consolidate, report, analyze and learn from today’s avalanche of data. 
Now there is, with Crosswalk. 
Crosswalk 
Data consolidation and analysis tool
DURATION ONE STEPTIME FREQUENCY TIME DURATION ONE STEPTIME FREQUENCY TIME DURATION ONE STEPTIME FREQUENCY TIME DURATION ONE STEPTIME FREQUENCY TIME DURATION ONE STEPTIME FREQUENCY TIME 
© Bioproduction Group. All Rights Reserved. 
2 
EASY TO SET UP AND MAINTAIN 
Easy Data Consolidation and Synchronization. Crosswalk’s ease of use enables users to view and utilize data stored in any database, and reduces data maintenance costs by enabling hundreds of datasets to be automatically updated with one click of a button. 
Google-Style Searching 
Crosswalk’s front end is a familiar searchable web page. That means no learning curve: in seconds, users will be able to search and see process times and parameters for key activities across the entire organization. 
L 
INK DATASETS TO 
ANY DATABASE DATA 
Increased Data Accessibility. Crosswalk can link datasets to any SQL enabled-database, including DeltaV, Rockwell, and SAP, giving users increased access to valuable Enterprise class data. Crosswalk allows users to quickly understand complex data patterns across multiple facilities to drive knowledge generation. 
VISUALIZE DATA 
AND CURVE FIT 
Automated Data Fitting. Crosswalk enables users to perform automatic curve fitting as well as visualization of the data fit and evolution of the process over time. 
SOPHISTICATED ANALYSIS 
Monitor changes in process durations 
and estimation. Crosswalk provides a 
platform to analyze trends over time, 
providing the analyst with a window into process changes, learning effects and 
possible future outcomes. 
A Proven Track Record 
Bioproduction Group’s Crosswalk and Simulation tools and services are used by 
the world’s leading, global biomanufacturing firms. We deliver to these clients literally millions of dollars in savings, every year. 
For more information visit: 
www.bio-g.com

Mais conteúdo relacionado

Mais procurados

Big Data Business Wins: Real-time Inventory Tracking with Hadoop
Big Data Business Wins: Real-time Inventory Tracking with HadoopBig Data Business Wins: Real-time Inventory Tracking with Hadoop
Big Data Business Wins: Real-time Inventory Tracking with Hadoop
DataWorks Summit
 

Mais procurados (20)

Data science for developers
Data science for developersData science for developers
Data science for developers
 
AI Data Acquisition and Governance: Considerations for Success
AI Data Acquisition and Governance: Considerations for SuccessAI Data Acquisition and Governance: Considerations for Success
AI Data Acquisition and Governance: Considerations for Success
 
ML Infra @ Spotify: Lessons Learned - Romain Yon - NYC ML Meetup
ML Infra @ Spotify: Lessons Learned - Romain Yon -  NYC ML MeetupML Infra @ Spotify: Lessons Learned - Romain Yon -  NYC ML Meetup
ML Infra @ Spotify: Lessons Learned - Romain Yon - NYC ML Meetup
 
SAS Analytics In Action - The New BI
SAS Analytics In Action - The New BISAS Analytics In Action - The New BI
SAS Analytics In Action - The New BI
 
SMACK on the Cloud
SMACK on the CloudSMACK on the Cloud
SMACK on the Cloud
 
Big Data Business Wins: Real-time Inventory Tracking with Hadoop
Big Data Business Wins: Real-time Inventory Tracking with HadoopBig Data Business Wins: Real-time Inventory Tracking with Hadoop
Big Data Business Wins: Real-time Inventory Tracking with Hadoop
 
Commercializing Alternative Data
Commercializing Alternative DataCommercializing Alternative Data
Commercializing Alternative Data
 
Business Intelligence is more than just pretty visuals
Business Intelligence is more than just pretty visualsBusiness Intelligence is more than just pretty visuals
Business Intelligence is more than just pretty visuals
 
Data Science: Philosopher's Stone
Data Science: Philosopher's StoneData Science: Philosopher's Stone
Data Science: Philosopher's Stone
 
Overcoming DataOps hurdles for ML in Production
Overcoming DataOps hurdles for ML in ProductionOvercoming DataOps hurdles for ML in Production
Overcoming DataOps hurdles for ML in Production
 
EffectiveSoft QA Services
EffectiveSoft QA ServicesEffectiveSoft QA Services
EffectiveSoft QA Services
 
Big Data Ecosystem
Big Data EcosystemBig Data Ecosystem
Big Data Ecosystem
 
Qubida Introduction
Qubida IntroductionQubida Introduction
Qubida Introduction
 
Why you should care about synthetic data
Why you should care about synthetic dataWhy you should care about synthetic data
Why you should care about synthetic data
 
Philips john huffman
Philips john huffmanPhilips john huffman
Philips john huffman
 
Microservices Approaches for Continuous Data Integration
Microservices Approaches for Continuous Data IntegrationMicroservices Approaches for Continuous Data Integration
Microservices Approaches for Continuous Data Integration
 
Data Science Day New York: Data Science: A Personal History
Data Science Day New York: Data Science: A Personal HistoryData Science Day New York: Data Science: A Personal History
Data Science Day New York: Data Science: A Personal History
 
Alteryx Desktop Designer Overview
Alteryx Desktop Designer OverviewAlteryx Desktop Designer Overview
Alteryx Desktop Designer Overview
 
Software Engineering for Data Scientists
Software Engineering for Data ScientistsSoftware Engineering for Data Scientists
Software Engineering for Data Scientists
 
Data science life cycle
Data science life cycleData science life cycle
Data science life cycle
 

Destaque

Sarah sakanoko
Sarah sakanokoSarah sakanoko
Sarah sakanoko
Kany Toure
 
Les centrals telefòniques anònim
Les centrals telefòniques anònimLes centrals telefòniques anònim
Les centrals telefòniques anònim
mgonellgomez
 
Trabajo de ciencia y tecnologia
Trabajo de ciencia y tecnologiaTrabajo de ciencia y tecnologia
Trabajo de ciencia y tecnologia
Alex Garcia
 
Redes sociales en el ambito academico
Redes sociales en el ambito academicoRedes sociales en el ambito academico
Redes sociales en el ambito academico
nievesospina8989
 
Preguntas para el estudiante
Preguntas para el estudiantePreguntas para el estudiante
Preguntas para el estudiante
MARIA MALAN
 
Presentación correo electrónico
Presentación correo electrónicoPresentación correo electrónico
Presentación correo electrónico
anapichardo3
 
electric work history
electric work historyelectric work history
electric work history
Scott Boatman
 
Propiedad intelectual
Propiedad intelectualPropiedad intelectual
Propiedad intelectual
diegordiales
 
Tema de exposición 6 (2)
Tema de exposición 6 (2)Tema de exposición 6 (2)
Tema de exposición 6 (2)
cobat 06
 

Destaque (20)

Informatica
InformaticaInformatica
Informatica
 
Sesion 1
Sesion 1Sesion 1
Sesion 1
 
Invista em si
Invista em siInvista em si
Invista em si
 
Sarah sakanoko
Sarah sakanokoSarah sakanoko
Sarah sakanoko
 
Les centrals telefòniques anònim
Les centrals telefòniques anònimLes centrals telefòniques anònim
Les centrals telefòniques anònim
 
La gerencia de ciclo de vida de los proyectos
La gerencia de ciclo de vida de los proyectosLa gerencia de ciclo de vida de los proyectos
La gerencia de ciclo de vida de los proyectos
 
Trabajo de ciencia y tecnologia
Trabajo de ciencia y tecnologiaTrabajo de ciencia y tecnologia
Trabajo de ciencia y tecnologia
 
Organizadores Gráficos
Organizadores Gráficos Organizadores Gráficos
Organizadores Gráficos
 
Estructura de la computadora
Estructura de la computadoraEstructura de la computadora
Estructura de la computadora
 
Redes sociales en el ambito academico
Redes sociales en el ambito academicoRedes sociales en el ambito academico
Redes sociales en el ambito academico
 
Preguntas para el estudiante
Preguntas para el estudiantePreguntas para el estudiante
Preguntas para el estudiante
 
Presentación correo electrónico
Presentación correo electrónicoPresentación correo electrónico
Presentación correo electrónico
 
Presentación - Texto de Clouet
Presentación - Texto de ClouetPresentación - Texto de Clouet
Presentación - Texto de Clouet
 
electric work history
electric work historyelectric work history
electric work history
 
informatica
informaticainformatica
informatica
 
Propiedad intelectual
Propiedad intelectualPropiedad intelectual
Propiedad intelectual
 
Tema de exposición 6 (2)
Tema de exposición 6 (2)Tema de exposición 6 (2)
Tema de exposición 6 (2)
 
Kpds ye-hazirlik
Kpds ye-hazirlikKpds ye-hazirlik
Kpds ye-hazirlik
 
Rup
RupRup
Rup
 
Problema Tres
Problema TresProblema Tres
Problema Tres
 

Semelhante a Crosswalk

Cisco_Big_Data_Webinar_At-A-Glance_ABSOLUTE_FINAL_VERSION
Cisco_Big_Data_Webinar_At-A-Glance_ABSOLUTE_FINAL_VERSIONCisco_Big_Data_Webinar_At-A-Glance_ABSOLUTE_FINAL_VERSION
Cisco_Big_Data_Webinar_At-A-Glance_ABSOLUTE_FINAL_VERSION
Renee Yao
 
Zy Vision Visualizations For Real Time Data
Zy Vision Visualizations For Real Time DataZy Vision Visualizations For Real Time Data
Zy Vision Visualizations For Real Time Data
tresag71
 
Real time modeling system
Real time modeling systemReal time modeling system
Real time modeling system
GBX Summits
 
December 2015 - TDWI Checklist Report - Seven Best Practices for Adapting DWA
December 2015 - TDWI Checklist Report - Seven Best Practices for Adapting DWADecember 2015 - TDWI Checklist Report - Seven Best Practices for Adapting DWA
December 2015 - TDWI Checklist Report - Seven Best Practices for Adapting DWA
Carsten Roland
 

Semelhante a Crosswalk (20)

DataOps , cbuswaw April '23
DataOps , cbuswaw April '23DataOps , cbuswaw April '23
DataOps , cbuswaw April '23
 
Cisco_Big_Data_Webinar_At-A-Glance_ABSOLUTE_FINAL_VERSION
Cisco_Big_Data_Webinar_At-A-Glance_ABSOLUTE_FINAL_VERSIONCisco_Big_Data_Webinar_At-A-Glance_ABSOLUTE_FINAL_VERSION
Cisco_Big_Data_Webinar_At-A-Glance_ABSOLUTE_FINAL_VERSION
 
Idbs Bioprocess Execution System
Idbs Bioprocess Execution SystemIdbs Bioprocess Execution System
Idbs Bioprocess Execution System
 
Greetings david cutler inform and connect
Greetings   david cutler inform and connectGreetings   david cutler inform and connect
Greetings david cutler inform and connect
 
Greetings david cutler inform and connect
Greetings   david cutler inform and connectGreetings   david cutler inform and connect
Greetings david cutler inform and connect
 
LinkedInSaxoBankDataWorkbench
LinkedInSaxoBankDataWorkbenchLinkedInSaxoBankDataWorkbench
LinkedInSaxoBankDataWorkbench
 
Zy Vision Visualizations For Real Time Data
Zy Vision Visualizations For Real Time DataZy Vision Visualizations For Real Time Data
Zy Vision Visualizations For Real Time Data
 
AWS Initiate Day Manchester 2019 – AWS Big Data Meets AI
AWS Initiate Day Manchester 2019 – AWS Big Data Meets AIAWS Initiate Day Manchester 2019 – AWS Big Data Meets AI
AWS Initiate Day Manchester 2019 – AWS Big Data Meets AI
 
Real time modeling system
Real time modeling systemReal time modeling system
Real time modeling system
 
Data Analytics in Digital Transformation
Data Analytics in Digital TransformationData Analytics in Digital Transformation
Data Analytics in Digital Transformation
 
Using Big Data Analytics
Using Big Data AnalyticsUsing Big Data Analytics
Using Big Data Analytics
 
Splunk for big_data
Splunk for big_dataSplunk for big_data
Splunk for big_data
 
Tibco predict ebook 0902
Tibco predict ebook 0902Tibco predict ebook 0902
Tibco predict ebook 0902
 
How to add security in dataops and devops
How to add security in dataops and devopsHow to add security in dataops and devops
How to add security in dataops and devops
 
2022 Trends in Enterprise Analytics
2022 Trends in Enterprise Analytics2022 Trends in Enterprise Analytics
2022 Trends in Enterprise Analytics
 
Platform for Comprehensive Vendor Research & Analysis
Platform for Comprehensive Vendor Research & AnalysisPlatform for Comprehensive Vendor Research & Analysis
Platform for Comprehensive Vendor Research & Analysis
 
AWS Initiate Day Dublin 2019 – Big Data Meets AI
AWS Initiate Day Dublin 2019 – Big Data Meets AIAWS Initiate Day Dublin 2019 – Big Data Meets AI
AWS Initiate Day Dublin 2019 – Big Data Meets AI
 
Putting the Ops in DataOps: Orchestrate the Flow of Data Across Data Pipelines
Putting the Ops in DataOps: Orchestrate the Flow of Data Across Data PipelinesPutting the Ops in DataOps: Orchestrate the Flow of Data Across Data Pipelines
Putting the Ops in DataOps: Orchestrate the Flow of Data Across Data Pipelines
 
December 2015 - TDWI Checklist Report - Seven Best Practices for Adapting DWA
December 2015 - TDWI Checklist Report - Seven Best Practices for Adapting DWADecember 2015 - TDWI Checklist Report - Seven Best Practices for Adapting DWA
December 2015 - TDWI Checklist Report - Seven Best Practices for Adapting DWA
 
It Consulting & Services - Black Basil Technologies
It Consulting & Services  - Black Basil TechnologiesIt Consulting & Services  - Black Basil Technologies
It Consulting & Services - Black Basil Technologies
 

Mais de GBX Summits

A Healthy Dose of Chips R1
A Healthy Dose of Chips  R1A Healthy Dose of Chips  R1
A Healthy Dose of Chips R1
GBX Summits
 
Address The Innovation Imperative!
Address The Innovation Imperative!Address The Innovation Imperative!
Address The Innovation Imperative!
GBX Summits
 
Bio g strategic capacity assessment
Bio g strategic capacity assessmentBio g strategic capacity assessment
Bio g strategic capacity assessment
GBX Summits
 
Bio g defense in depth presentation
Bio g defense in depth presentationBio g defense in depth presentation
Bio g defense in depth presentation
GBX Summits
 
Capacity planning in biomanufacturing
Capacity planning in biomanufacturingCapacity planning in biomanufacturing
Capacity planning in biomanufacturing
GBX Summits
 
Biomanufacturing supply chain optimization
Biomanufacturing supply chain optimizationBiomanufacturing supply chain optimization
Biomanufacturing supply chain optimization
GBX Summits
 
Biomanufacturing flexibility
Biomanufacturing flexibilityBiomanufacturing flexibility
Biomanufacturing flexibility
GBX Summits
 
Biomanufacturing debottlenecking and optimization
Biomanufacturing debottlenecking and optimizationBiomanufacturing debottlenecking and optimization
Biomanufacturing debottlenecking and optimization
GBX Summits
 
Biomanufacturing complexity
Biomanufacturing complexityBiomanufacturing complexity
Biomanufacturing complexity
GBX Summits
 
Real time scheduling
Real time schedulingReal time scheduling
Real time scheduling
GBX Summits
 
Titer capacity analysis
Titer capacity analysisTiter capacity analysis
Titer capacity analysis
GBX Summits
 
Retrofitting a new process to an existing facility
Retrofitting a new process to an existing facilityRetrofitting a new process to an existing facility
Retrofitting a new process to an existing facility
GBX Summits
 
Increasing labor effectiveness
Increasing labor effectivenessIncreasing labor effectiveness
Increasing labor effectiveness
GBX Summits
 

Mais de GBX Summits (20)

A Healthy Dose of Chips R1
A Healthy Dose of Chips  R1A Healthy Dose of Chips  R1
A Healthy Dose of Chips R1
 
Address The Innovation Imperative!
Address The Innovation Imperative!Address The Innovation Imperative!
Address The Innovation Imperative!
 
Maintenance and calibrations
Maintenance and calibrationsMaintenance and calibrations
Maintenance and calibrations
 
Innovation in biopharmaceutical production
Innovation in biopharmaceutical productionInnovation in biopharmaceutical production
Innovation in biopharmaceutical production
 
Bio g strategic capacity assessment
Bio g strategic capacity assessmentBio g strategic capacity assessment
Bio g strategic capacity assessment
 
Bio g defense in depth presentation
Bio g defense in depth presentationBio g defense in depth presentation
Bio g defense in depth presentation
 
Bio g - ManufacturingIintelligence webinar GBX
Bio g - ManufacturingIintelligence webinar GBXBio g - ManufacturingIintelligence webinar GBX
Bio g - ManufacturingIintelligence webinar GBX
 
Capacity planning in biomanufacturing
Capacity planning in biomanufacturingCapacity planning in biomanufacturing
Capacity planning in biomanufacturing
 
Biomanufacturing supply chain optimization
Biomanufacturing supply chain optimizationBiomanufacturing supply chain optimization
Biomanufacturing supply chain optimization
 
Biomanufacturing flexibility
Biomanufacturing flexibilityBiomanufacturing flexibility
Biomanufacturing flexibility
 
Biomanufacturing debottlenecking and optimization
Biomanufacturing debottlenecking and optimizationBiomanufacturing debottlenecking and optimization
Biomanufacturing debottlenecking and optimization
 
Biomanufacturing complexity
Biomanufacturing complexityBiomanufacturing complexity
Biomanufacturing complexity
 
Real time scheduling
Real time schedulingReal time scheduling
Real time scheduling
 
Titer capacity analysis
Titer capacity analysisTiter capacity analysis
Titer capacity analysis
 
Retrofitting a new process to an existing facility
Retrofitting a new process to an existing facilityRetrofitting a new process to an existing facility
Retrofitting a new process to an existing facility
 
Prioritizing waste reduction projects
Prioritizing waste reduction projectsPrioritizing waste reduction projects
Prioritizing waste reduction projects
 
Optimizing bulk campaign lengths
Optimizing bulk campaign lengthsOptimizing bulk campaign lengths
Optimizing bulk campaign lengths
 
Increasing labor effectiveness
Increasing labor effectivenessIncreasing labor effectiveness
Increasing labor effectiveness
 
Evaluating the effect of raw materials shortages
Evaluating the effect of raw materials shortagesEvaluating the effect of raw materials shortages
Evaluating the effect of raw materials shortages
 
Evaluating perfusion technologies
Evaluating perfusion technologiesEvaluating perfusion technologies
Evaluating perfusion technologies
 

Crosswalk

  • 1. © Bioproduction Group. All Rights Reserved. 1 Crosswalk is data translation software. Once operations data is accurately seen and understood in real-time, then processes suddenly become transparent. Modeling becomes possible based on real data. Model-based predictions are more accurate, versatile and flexible and lead to better business decisions. Crosswalk helps deliver the best in real-time data that can be used for modeling, analysis and simulation. Crosswalk talks directly with your operations databases and turns raw company data into datasets that can be used for real-time analysis by anyone from shop-floor technicians to analysts. From late stage process development to manufacturing and supply chain, everyone will benefit from seeing real manufacturing data, delivered in real-time to your browser. “We have lots of data but not real information. With our present systems it is really hard to find bottlenecks. Data is scattered everywhere and it should be integrated.” Team Lead at a Major Biotechnology Manufacturer “Everyone comes to meetings with reams of reports, spreadsheets, etc. and we negotiate how to go into, and then ramp up, production.” Head of Quality Control and Management at a Large Biotechnology Manufacturer “We want to leverage the enormous amount of data we’re collecting from SAP, plus local plant data on batch records, and then crunch that enormous amount of data … filtering, analyzing and utilizing all this information.” Plant Manager at a Global Biotechnology Manufacturer Biomanufacturing professionals are overwhelmed with supply chain, production and other important data. There has to be a better way to consolidate, report, analyze and learn from today’s avalanche of data. Now there is, with Crosswalk. Crosswalk Data consolidation and analysis tool
  • 2. DURATION ONE STEPTIME FREQUENCY TIME DURATION ONE STEPTIME FREQUENCY TIME DURATION ONE STEPTIME FREQUENCY TIME DURATION ONE STEPTIME FREQUENCY TIME DURATION ONE STEPTIME FREQUENCY TIME © Bioproduction Group. All Rights Reserved. 2 EASY TO SET UP AND MAINTAIN Easy Data Consolidation and Synchronization. Crosswalk’s ease of use enables users to view and utilize data stored in any database, and reduces data maintenance costs by enabling hundreds of datasets to be automatically updated with one click of a button. Google-Style Searching Crosswalk’s front end is a familiar searchable web page. That means no learning curve: in seconds, users will be able to search and see process times and parameters for key activities across the entire organization. L INK DATASETS TO ANY DATABASE DATA Increased Data Accessibility. Crosswalk can link datasets to any SQL enabled-database, including DeltaV, Rockwell, and SAP, giving users increased access to valuable Enterprise class data. Crosswalk allows users to quickly understand complex data patterns across multiple facilities to drive knowledge generation. VISUALIZE DATA AND CURVE FIT Automated Data Fitting. Crosswalk enables users to perform automatic curve fitting as well as visualization of the data fit and evolution of the process over time. SOPHISTICATED ANALYSIS Monitor changes in process durations and estimation. Crosswalk provides a platform to analyze trends over time, providing the analyst with a window into process changes, learning effects and possible future outcomes. A Proven Track Record Bioproduction Group’s Crosswalk and Simulation tools and services are used by the world’s leading, global biomanufacturing firms. We deliver to these clients literally millions of dollars in savings, every year. For more information visit: www.bio-g.com