Business Performance (BPI) Network: Reports

Report

Id: 47
Date
Title: Improve Your Ability To Embrace Business Agility (4 Study Bundle)
Summary: Download the entire series of four strategic briefs on improving the accuracy, value and efficiency or financial planning & budgeting.
Author: BPI Network
Body: Improving the accuracy, value and efficiency of financial planning, forecasting and budgeting should be an important goal for any organization.  Research shows companies that are adept in these processes outperform their competition. Yet financial processes and systems frequently lack the agility and responsiveness to keep pace with changing business needs and developments.  Budgeting is often excessively time-consuming and arduous, while the final product is typically out-of-date on arrival.  Financial planning processes should, but often do not, motivate and drive organizational performance. How can companies make financial planning and reporting processes more relevant in driving organizational excellence, efficiency and decision dexterity, while improving forecasting and budgeting accuracy? Download these four short strategic briefs published by the Business Performance Innovation (BPI) Network in association with Host Analytics that might spur new thinking and top up your knowledge of cloud-based Enterprise Performance Management (EPM): <ol> <li>Become an Agile Organization – Gain a Competitive Edge Through On-Demand Budgeting and Forecasting</li> <li>Planning for Growth -- How FORTUNE’s Fastest-Growing Company Harnessed the Cloud for Corporate Agility</li> <li>From 4 Days to 4 Hours – How to Dramatically Streamline Your Board Reporting Process</li> <li>No More Spreadsheets – Top 5 Reasons to STOP Using Excel for Planning and Performance Management</li> </ol>
Image: Improve_your_Ability136X176.jpg
Url
Created: 2014-06-30 16:38:13
Modified: 2014-07-17 15:36:02

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Related Programs

Id	Title	Subtitle	Description	Date	Created	Modified	Actions
8	Predictability Through Planning Agility	Best Practices in Collaborative Budgeting and Continuous Business Rebalancing	Improving the accuracy, value and efficiency of financial planning, forecasting and budgeting should be an important goal for any organization. Research shows companies that are adept in these processes outperform their competition. Yet financial processes and systems frequently lack the agility and responsiveness to keep pace with changing business needs and developments. Budgeting is often excessively time-consuming and arduous, while the final product is typically out-of-date on arrival. Financial planning processes should, but often do not, motivate and drive organizational performance. There is a real need for greater timeliness and frequency in budgeting and forecasting with new systems and processes that can improve planning flexibility, speed, and accuracy. Companies need to determine how they can increase collaboration and the value of financial planning across the entire organization. Download Report Now » Through the “Predictability Through Planning Agility” program, the Business Performance Innovation Network will investigate how organizations can make financial processes more relevant in driving organizational excellence, efficiency and decision dexterity, while improving forecasting and budgeting accuracy. The program will look at the value and limitations of corporate financial forecasting and budgeting processes and discuss the right practices and approaches for improving the performance management aspects of financial processes.	2014-04-17	2014-04-15 11:29:56	2014-12-09 10:44:40	View Edit Delete

Title

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Description

Date

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Predictability Through Planning Agility

Best Practices in Collaborative Budgeting and Continuous Business Rebalancing

Improving the accuracy, value and efficiency of financial planning, forecasting and budgeting should be an important goal for any organization. Research shows companies that are adept in these processes outperform their competition. Yet financial processes and systems frequently lack the agility and responsiveness to keep pace with changing business needs and developments. Budgeting is often excessively time-consuming and arduous, while the final product is typically out-of-date on arrival. Financial planning processes should, but often do not, motivate and drive organizational performance. There is a real need for greater timeliness and frequency in budgeting and forecasting with new systems and processes that can improve planning flexibility, speed, and accuracy. Companies need to determine how they can increase collaboration and the value of financial planning across the entire organization.

Download Report Now »

Through the “Predictability Through Planning Agility” program, the Business Performance Innovation Network will investigate how organizations can make financial processes more relevant in driving organizational excellence, efficiency and decision dexterity, while improving forecasting and budgeting accuracy. The program will look at the value and limitations of corporate financial forecasting and budgeting processes and discuss the right practices and approaches for improving the performance management aspects of financial processes.

2014-04-17

2014-04-15 11:29:56

2014-12-09 10:44:40

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 authorBPI Network
 bodyImproving the accuracy, value and efficiency of financial planning, forecasting and budgeting should be an important goal for any organization. Research shows companies that are adept in these processes outperform their competition. Yet financial processes and systems frequently lack the agility and responsiveness to keep pace with changing business needs and developments. Budgeting is often excessively time-consuming and arduous, while the final product is typically out-of-date on arrival. Financial planning processes should, but often do not, motivate and drive organizational performance. How can companies make financial planning and reporting processes more relevant in driving organizational excellence, efficiency and decision dexterity, while improving forecasting and budgeting accuracy? Download these four short strategic briefs published by the Business Performance Innovation (BPI) Network in association with Host Analytics that might spur new thinking and top up your knowledge of cloud-based Enterprise Performance Management (EPM): <ol> <li>Become an Agile Organization – Gain a Competitive Edge Through On-Demand Budgeting and Forecasting</li> <li>Planning for Growth -- How FORTUNE’s Fastest-Growing Company Harnessed the Cloud for Corporate Agility</li> <li>From 4 Days to 4 Hours – How to Dramatically Streamline Your Board Reporting Process</li> <li>No More Spreadsheets – Top 5 Reasons to STOP Using Excel for Planning and Performance Management</li> </ol>
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 subtitleBest Practices in Collaborative Budgeting and Continuous Business Rebalancing
 summaryThrough the “Predictability Through Planning Agility” program, the Business Performance Innovation Network will investigate how organizations can make financial processes more relevant in driving organizational excellence, efficiency and decision dexterity, while improving forecasting and budgeting accuracy. 
 descriptionImproving the accuracy, value and efficiency of financial planning, forecasting and budgeting should be an important goal for any organization. Research shows companies that are adept in these processes outperform their competition. Yet financial processes and systems frequently lack the agility and responsiveness to keep pace with changing business needs and developments. Budgeting is often excessively time-consuming and arduous, while the final product is typically out-of-date on arrival. Financial planning processes should, but often do not, motivate and drive organizational performance. There is a real need for greater timeliness and frequency in budgeting and forecasting with new systems and processes that can improve planning flexibility, speed, and accuracy. Companies need to determine how they can increase collaboration and the value of financial planning across the entire organization. <a title="Download Report Now" href="../../../thought-leadership/studies/49/download-report-predictability-through-planning-agility">Download Report Now »</a> Through the “Predictability Through Planning Agility” program, the Business Performance Innovation Network will investigate how organizations can make financial processes more relevant in driving organizational excellence, efficiency and decision dexterity, while improving forecasting and budgeting accuracy. The program will look at the value and limitations of corporate financial forecasting and budgeting processes and discuss the right practices and approaches for improving the performance management aspects of financial processes. 
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 Program
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 titleBringing Simplicity To Multi-Cloud Complexity
 subtitleAdvancing Data Connectivity, Logistics and Value
 summaryThis initiative aims to explore the forces, factors, challenges and requirements driving the need for improved data logistics in today’s multi-cloud world.
 descriptionOverview The Business Performance Innovation (BPI) Network, in partnership with DBM Cloud Systems and the CMO Council, is undertaking research into the forces, factors, challenges and requirements driving the need for improved data logistics in today’s multi-cloud world. Global enterprises are seeking to integrate vast repositories of data across multiple public and private clouds and on-premise systems to extract more value, use and return on these assets. In particular, this relates to decision-support analytics, product and service delivery, customer intelligence and personalized engagement, operational improvement, business compliance, and continuity. While multi-cloud and hybrid cloud environments provide major advantages, they also increase the complexity of managing, translating, processing and moving data. Chief Data Officers, infrastructure IT executives and others in the enterprise are now seeking new and innovative ways to gain greater control, visibility, performance and efficiency in the way they manage data to optimize its value. The program will engage data and IT executives from major companies, as well as leading system integrators, consulting firms and solution providers to understand needs, requirements and best practices in optimizing data economics, protection and logistics in today’s multi-cloud, mega-data world. Background The growing importance of the Chief Data Officer underscores widespread recognition of the essential role and value of data and analytics in the modern, agile customer-centric enterprise. This is further compounded by the significant cost, challenge and complexity of unifying, migrating, replicating, protecting, storing and governing data “ponds, lakes and dams” in today’s multi-cloud and hybrid cloud computing environments. Data has become one of the chief engines of value creation. Its role in improving analytical decision making, enhancing our ability to understand, reach and engage customers, and increasing the value of both existing and new products and services has made data a highly valued currency and asset base for enterprises operating digitally across data borders, ramparts and fences. Fueled by an explosive proliferation of new data sources—from mobile computing, social media and rich media applications and services, to the advent of the Internet of Things, which will generate some 50 million connected sensors by the end of 2020—the amount and variety of data being stored is growing exponentially. According Seagate Technology, the amount of data generated worldwide will increase to 163 zettabytes by 2025 from 12 zettabytes in 2015. In today’s multi-cloud, mega-data world, better Data Logistics and Performance Management (DLPM) has become essential to competing in the Data Economy. According to 451 Research, some 80 percent of companies are now utilizing two or more clouds. Three-quarters of companies say they are pursuing a hybrid/multi-cloud strategy. In this highly distributed compute environment, the requirements to understand where data resides across multiple public clouds and on-premise systems and cost-effectively store, protect and move data to its optimal location becomes critical. With the coming rise of edge computing and micro-data centers designed to bring data and applications closer to users to reduce latency and thereby improve application and workload performance, data management and logistics become even more complex. The edge is creating even more data, with increased data volumes having to be transmitted across networks and between clouds. Object-based data storage is now the dominant storage architecture globally, particularly in the cloud, and will be used to store 85 percent of the world’s data by 2025. Developed initially to handle the explosive growth of unstructured data, such as video, images, web pages, log files and IoT data, object storage saves data along with associated metadata in blocks as objects that can contain multiple information formats. It has a variety of advantages over file and block storage, including massive scalability, greater flexibility via metadata for analytics, better governance, faster retrieval, and improved cost efficiencies. In addition, continued technical advances are improving both the performance and the applicability of object storage for new use cases. A major challenge, however, is that the object-based storage systems used my various cloud providers are all different, making data synchronization and translation a challenge. The Data Logistics Mandate In this new world, Chief Data Officers and CIOs must optimize how they manage vast volumes of data across multiple clouds and data environments through better data logistics. There are more data silos, greater distribution of data, vast increases in volume, and a growing demand to understand, protect and exploit data for business growth and optimization while holding down costs. Among those logistical challenges are the need to keep track of where data resides, and cost-effectively synchronize, replicate and move data to optimize value, efficiency, security and governance based on cost differences, processing and analytics capabilities, performance advantages, and regulatory requirements. Organizations need to be able to be able to identify what data needs to be replicated and effectively transmitted and synchronized across different clouds and on-premise locations to improve the availability, security and value of data. For example, organizations increasingly need to move data to specific service providers to conduct analytics or take advantage of specific vendor technologies, lower processing and storage costs, or meet geographic requirements. Particularly when data replication and synchronization is a continuous activity, organizations need to automate this process based on established rules and policies to improve cost efficiency, eliminate errors and reduce management complexity. For object storage data, the capacity to fully utilize metadata to identify location, type and value is now a critical aspect of data logistics, as is the ability to transfer data with a minimum amount of performance degradation and data corruption. New solutions that can handle replication outside of the data path are delivering improved visibility, performance and data quality. Advancing data logistics is a major imperative for today’s data-driven organizations and their chief data officers. The mandate to improve data availability, performance, value and cost-efficiency will be a critical competitive differentiator in a multi-cloud, mega-data world. To get involved in this initiative, please reach out to <a href="mailto:dmurray@bpinetwork.org">Dave Murray</a>. 
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 summaryThis initiative aims to explore the forces, factors, challenges and requirements driving the need for improved data logistics in today’s multi-cloud world.
 descriptionOverview The Business Performance Innovation (BPI) Network, in partnership with DBM Cloud Systems and the CMO Council, is undertaking research into the forces, factors, challenges and requirements driving the need for improved data logistics in today’s multi-cloud world. Global enterprises are seeking to integrate vast repositories of data across multiple public and private clouds and on-premise systems to extract more value, use and return on these assets. In particular, this relates to decision-support analytics, product and service delivery, customer intelligence and personalized engagement, operational improvement, business compliance, and continuity. While multi-cloud and hybrid cloud environments provide major advantages, they also increase the complexity of managing, translating, processing and moving data. Chief Data Officers, infrastructure IT executives and others in the enterprise are now seeking new and innovative ways to gain greater control, visibility, performance and efficiency in the way they manage data to optimize its value. The program will engage data and IT executives from major companies, as well as leading system integrators, consulting firms and solution providers to understand needs, requirements and best practices in optimizing data economics, protection and logistics in today’s multi-cloud, mega-data world. Background The growing importance of the Chief Data Officer underscores widespread recognition of the essential role and value of data and analytics in the modern, agile customer-centric enterprise. This is further compounded by the significant cost, challenge and complexity of unifying, migrating, replicating, protecting, storing and governing data “ponds, lakes and dams” in today’s multi-cloud and hybrid cloud computing environments. Data has become one of the chief engines of value creation. Its role in improving analytical decision making, enhancing our ability to understand, reach and engage customers, and increasing the value of both existing and new products and services has made data a highly valued currency and asset base for enterprises operating digitally across data borders, ramparts and fences. Fueled by an explosive proliferation of new data sources—from mobile computing, social media and rich media applications and services, to the advent of the Internet of Things, which will generate some 50 million connected sensors by the end of 2020—the amount and variety of data being stored is growing exponentially. According Seagate Technology, the amount of data generated worldwide will increase to 163 zettabytes by 2025 from 12 zettabytes in 2015. In today’s multi-cloud, mega-data world, better Data Logistics and Performance Management (DLPM) has become essential to competing in the Data Economy. According to 451 Research, some 80 percent of companies are now utilizing two or more clouds. Three-quarters of companies say they are pursuing a hybrid/multi-cloud strategy. In this highly distributed compute environment, the requirements to understand where data resides across multiple public clouds and on-premise systems and cost-effectively store, protect and move data to its optimal location becomes critical. With the coming rise of edge computing and micro-data centers designed to bring data and applications closer to users to reduce latency and thereby improve application and workload performance, data management and logistics become even more complex. The edge is creating even more data, with increased data volumes having to be transmitted across networks and between clouds. Object-based data storage is now the dominant storage architecture globally, particularly in the cloud, and will be used to store 85 percent of the world’s data by 2025. Developed initially to handle the explosive growth of unstructured data, such as video, images, web pages, log files and IoT data, object storage saves data along with associated metadata in blocks as objects that can contain multiple information formats. It has a variety of advantages over file and block storage, including massive scalability, greater flexibility via metadata for analytics, better governance, faster retrieval, and improved cost efficiencies. In addition, continued technical advances are improving both the performance and the applicability of object storage for new use cases. A major challenge, however, is that the object-based storage systems used my various cloud providers are all different, making data synchronization and translation a challenge. The Data Logistics Mandate In this new world, Chief Data Officers and CIOs must optimize how they manage vast volumes of data across multiple clouds and data environments through better data logistics. There are more data silos, greater distribution of data, vast increases in volume, and a growing demand to understand, protect and exploit data for business growth and optimization while holding down costs. Among those logistical challenges are the need to keep track of where data resides, and cost-effectively synchronize, replicate and move data to optimize value, efficiency, security and governance based on cost differences, processing and analytics capabilities, performance advantages, and regulatory requirements. Organizations need to be able to be able to identify what data needs to be replicated and effectively transmitted and synchronized across different clouds and on-premise locations to improve the availability, security and value of data. For example, organizations increasingly need to move data to specific service providers to conduct analytics or take advantage of specific vendor technologies, lower processing and storage costs, or meet geographic requirements. Particularly when data replication and synchronization is a continuous activity, organizations need to automate this process based on established rules and policies to improve cost efficiency, eliminate errors and reduce management complexity. For object storage data, the capacity to fully utilize metadata to identify location, type and value is now a critical aspect of data logistics, as is the ability to transfer data with a minimum amount of performance degradation and data corruption. New solutions that can handle replication outside of the data path are delivering improved visibility, performance and data quality. Advancing data logistics is a major imperative for today’s data-driven organizations and their chief data officers. The mandate to improve data availability, performance, value and cost-efficiency will be a critical competitive differentiator in a multi-cloud, mega-data world. 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Chief Data Officers, infrastructure IT executives and others in the enterprise are now seeking new and innovative ways to gain greater control, visibility, performance and efficiency in the way they manage data to optimize its value. The program will engage data and IT executives from major companies, as well as leading system integrators, consulting firms and solution providers to understand needs, requirements and best practices in optimizing data economics, protection and logistics in today’s multi-cloud, mega-data world. Background The growing importance of the Chief Data Officer underscores widespread recognition of the essential role and value of data and analytics in the modern, agile customer-centric enterprise. This is further compounded by the significant cost, challenge and complexity of unifying, migrating, replicating, protecting, storing and governing data “ponds, lakes and dams” in today’s multi-cloud and hybrid cloud computing environments. 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According to 451 Research, some 80 percent of companies are now utilizing two or more clouds. Three-quarters of companies say they are pursuing a hybrid/multi-cloud strategy. In this highly distributed compute environment, the requirements to understand where data resides across multiple public clouds and on-premise systems and cost-effectively store, protect and move data to its optimal location becomes critical. With the coming rise of edge computing and micro-data centers designed to bring data and applications closer to users to reduce latency and thereby improve application and workload performance, data management and logistics become even more complex. The edge is creating even more data, with increased data volumes having to be transmitted across networks and between clouds. Object-based data storage is now the dominant storage architecture globally, particularly in the cloud, and will be used to store 85 percent of the world’s data by 2025. Developed initially to handle the explosive growth of unstructured data, such as video, images, web pages, log files and IoT data, object storage saves data along with associated metadata in blocks as objects that can contain multiple information formats. It has a variety of advantages over file and block storage, including massive scalability, greater flexibility via metadata for analytics, better governance, faster retrieval, and improved cost efficiencies. In addition, continued technical advances are improving both the performance and the applicability of object storage for new use cases. A major challenge, however, is that the object-based storage systems used my various cloud providers are all different, making data synchronization and translation a challenge. The Data Logistics Mandate In this new world, Chief Data Officers and CIOs must optimize how they manage vast volumes of data across multiple clouds and data environments through better data logistics. There are more data silos, greater distribution of data, vast increases in volume, and a growing demand to understand, protect and exploit data for business growth and optimization while holding down costs. Among those logistical challenges are the need to keep track of where data resides, and cost-effectively synchronize, replicate and move data to optimize value, efficiency, security and governance based on cost differences, processing and analytics capabilities, performance advantages, and regulatory requirements. Organizations need to be able to be able to identify what data needs to be replicated and effectively transmitted and synchronized across different clouds and on-premise locations to improve the availability, security and value of data. For example, organizations increasingly need to move data to specific service providers to conduct analytics or take advantage of specific vendor technologies, lower processing and storage costs, or meet geographic requirements. 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To get involved in this initiative, please reach out to <a href="mailto:dmurray@bpinetwork.org">Dave Murray</a>. 
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 tracking_id0
 date2020-02-18 12:23:48
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 id5530
 user_id0
 non_member_id4782
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 tracking_id0
 date2021-07-20 09:29:47
 Program
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 id5
 titleBusiness Volatility & Variables
 subtitle
 summaryAdaptive Planning and The BPI Network bring you a quarterly pulse of financial professionals on current economic conditions, the impact on corporate performance and plans, and the effectiveness of financial management practices in uncertain times.
 descriptionAdaptive Planning and The BPI Network bring you a quarterly pulse of financial professionals on current economic conditions, the impact on corporate performance and plans, and the effectiveness of financial management practices in uncertain times.
 imagebpi-6.jpg
 thumbnail
 date2013-10-08
 feature(false)
 enable(false)
 created2013-10-06 12:58:05
 modified2014-07-29 17:00:40
 modifier135
 ProgramsReport
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 report_id5
 program_id5
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- isAuthenticated(null)
- signedin_user(null)
- signedin_user_id(null)
- signedin_user_email(null)
- answerEncryptedIiwzRGAKYAo=
- questionEncryptedQTVWQUk4VkBAOjcsQD0mQUUoJlFBPEY9RTxXMFooIyRZKyJgWCgmXVIoIzxfCmAK
- pageTitleBusiness Performance & Innovation (BPI) Network
- $request->data(empty)
- $this->validationErrors
 Menu(empty)
 User(empty)
 Article(empty)
 Event(empty)
 Report(empty)
 Leader(empty)
 Program(empty)
 ArticlesProgram(empty)
 ArticlesLeader(empty)
 Tag(empty)
 ArticlesTag(empty)
 Brainwafe(empty)
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 EventsProgram(empty)
 Tracking(empty)
 Download(empty)
 ProgramsReport(empty)
 ReportsTag(empty)
 MediaCoverage(empty)
 MediaCoverageReport(empty)
 BrainwavesReport(empty)
- Loaded Helpers
 0Minify
 1Number
 2SimpleGraph
 3DebugTimer
 4Toolbar
 5Html
 6Form
 7Session
 8HtmlToolbar
====

Environment

App Constants

No application environment available.

CakePHP Constants

Constant	Value
APP	/home/bpinorg/public_html/app/
APP_DIR	app
APPLIBS	/home/bpinorg/public_html/app/Lib/
CACHE	/home/bpinorg/public_html/app/tmp/cache/
CAKE	/home/bpinorg/public_html/lib/Cake/
CAKE_CORE_INCLUDE_PATH	/home/bpinorg/public_html/lib
CORE_PATH	/home/bpinorg/public_html/lib/
CAKE_VERSION	2.3.8
CSS	/home/bpinorg/public_html/app/webroot/css/
CSS_URL	css/
DS	/
FULL_BASE_URL	https://bpinetwork.org
IMAGES	/home/bpinorg/public_html/app/webroot/img/
IMAGES_URL	img/
JS	/home/bpinorg/public_html/app/webroot/js/
JS_URL	js/
LOGS	/home/bpinorg/public_html/app/tmp/logs/
ROOT	/home/bpinorg/public_html
TESTS	/home/bpinorg/public_html/app/Test/
TMP	/home/bpinorg/public_html/app/tmp/
VENDORS	/home/bpinorg/public_html/vendors/
WEBROOT_DIR	webroot
WWW_ROOT	/home/bpinorg/public_html/app/webroot/

PHP Environment

Environment Variable	Value
Php Version	5.6.40
User	bpinorg
Home	/home/bpinorg
Fcgi Role	RESPONDER
Redirect Redirect Unique Id	aC-Rj__LCoCirzUqTrvzyQAAxhI
Redirect Redirect Script Url	/reports/view/47
Redirect Redirect Script Uri	https://bpinetwork.org/reports/view/47
Redirect Redirect Https	on
Redirect Redirect Ssl Tls Sni	bpinetwork.org
Redirect Redirect Http2	on
Redirect Redirect H2push	off
Redirect Redirect H2 Push	off
Redirect Redirect H2 Pushed
Redirect Redirect H2 Pushed On
Redirect Redirect H2 Stream Id	1
Redirect Redirect H2 Stream Tag	16349-243-1
Redirect Redirect Status	200
Redirect Unique Id	aC-Rj__LCoCirzUqTrvzyQAAxhI
Redirect Script Url	/reports/view/47
Redirect Script Uri	https://bpinetwork.org/reports/view/47
Redirect Https	on
Redirect Ssl Tls Sni	bpinetwork.org
Redirect Http2	on
Redirect H2push	off
Redirect H2 Push	off
Redirect H2 Pushed
Redirect H2 Pushed On
Redirect H2 Stream Id	1
Redirect H2 Stream Tag	16349-243-1
Redirect Status	200
Unique Id	aC-Rj__LCoCirzUqTrvzyQAAxhI
Script Url	/reports/view/47
Script Uri	https://bpinetwork.org/reports/view/47
Https	on
Ssl Tls Sni	bpinetwork.org
Http2	on
H2push	off
H2 Push	off
H2 Pushed
H2 Pushed On
H2 Stream Id	1
H2 Stream Tag	16349-243-1
Proxy-nokeepalive	1
Http Accept	/
Http User Agent	Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)
Http Accept Encoding	gzip, br, zstd, deflate
Http Host	bpinetwork.org
Http X Https	1
Path	/usr/local/jdk/bin:/usr/kerberos/sbin:/usr/kerberos/bin:/usr/local/sbin:/usr/local/bin:/sbin:/bin:/usr/sbin:/usr/bin:/usr/X11R6/bin:/usr/local/bin:/usr/X11R6/bin:/root/bin:/opt/bin
Server Signature
Server Software	Apache
Server Name	bpinetwork.org
Server Addr	173.231.198.134
Server Port	443
Remote Addr	216.73.216.12
Document Root	/home/bpinorg/public_html
Request Scheme	https
Context Prefix
Context Document Root	/home/bpinorg/public_html
Server Admin	webmaster@bpinetwork.org
Script Filename	/home/bpinorg/public_html/app/webroot/index.php
Remote Port	35480
Redirect Url	/app/webroot/reports/view/47
Gateway Interface	CGI/1.1
Server Protocol	HTTP/2.0
Request Method	GET
Query String
Request Uri	/reports/view/47
Script Name	/app/webroot/index.php
Php Self	/app/webroot/index.php
Request Time Float	1747947919.0527
Request Time	1747947919
Argc	0

====

Include
+
Included Files

Include Paths
- 0/home/bpinorg/public_html/lib
- 2/opt/cpanel/ea-php56/root/usr/share/pear
- 3-> /home/bpinorg/public_html/lib/Cake/
Included Files
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  Cache
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  1CORE/Cache/Engine/FileEngine.php
  2CORE/Cache/CacheEngine.php
  Component
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  1CORE/Controller/Component/AuthComponent.php
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  Config
  0CORE/Config/routes.php
  1CORE/Config/config.php
  Controller
  0CORE/Controller/Controller.php
  1CORE/Controller/ComponentCollection.php
  2CORE/Controller/Component.php
  Datasource
  0CORE/Model/Datasource/Database/Mysql.php
  1CORE/Model/Datasource/DboSource.php
  2CORE/Model/Datasource/DataSource.php
  3CORE/Model/Datasource/CakeSession.php
  Error
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  1CORE/Error/ErrorHandler.php
  I18n
  0CORE/I18n/I18n.php
  1CORE/I18n/L10n.php
  Log
  0CORE/Log/CakeLog.php
  1CORE/Log/LogEngineCollection.php
  2CORE/Log/Engine/FileLog.php
  3CORE/Log/Engine/BaseLog.php
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  Model
  0CORE/Model/Model.php
  1CORE/Model/BehaviorCollection.php
  2CORE/Model/ConnectionManager.php
  3CORE/Model/ModelBehavior.php
  Network
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  Other
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  2CORE/Core/App.php
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  4CORE/Core/CakePlugin.php
  5CORE/Event/CakeEventListener.php
  6CORE/Event/CakeEvent.php
  7CORE/Event/CakeEventManager.php
  8CORE/Core/Object.php
  Routing
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  2CORE/Routing/DispatcherFilter.php
  3CORE/Routing/Filter/CacheDispatcher.php
  4CORE/Routing/Router.php
  5CORE/Routing/Route/CakeRoute.php
  6CORE/Routing/Route/RedirectRoute.php
  7CORE/Routing/Route/PluginShortRoute.php
  Utility
  0CORE/Utility/Hash.php
  1CORE/Utility/ObjectCollection.php
  2CORE/Utility/Debugger.php
  3CORE/Utility/String.php
  4CORE/Utility/ClassRegistry.php
  5CORE/Utility/Inflector.php
  6CORE/Utility/Folder.php
  View
  0CORE/View/HelperCollection.php
- app
  Component
  0APP/Controller/Component/PasswordComponent.php
  Config
  0APP/Config/core.php
  1APP/Config/bootstrap.php
  2APP/Config/routes.php
  3APP/Config/database.php
  Controller
  0APP/Controller/ReportsController.php
  1APP/Controller/AppController.php
  Model
  0APP/Model/Menu.php
  1APP/Model/AppModel.php
  2APP/Model/User.php
  3APP/Model/Article.php
  4APP/Model/Event.php
  5APP/Model/Report.php
  6APP/Model/Leader.php
  7APP/Model/Program.php
  8APP/Model/Tag.php
  9APP/Model/Brainwafe.php
  10APP/Model/Tracking.php
  11APP/Model/Download.php
  12APP/Model/MediaCoverage.php
  Other
  0APP/webroot/index.php
  1APP/Lib/AppError.php
  2APP/Vendor/ChromePhp/ChromePhp.php
  3APP/Lib/Captcha/Captcha.php
- plugins
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  Component
  0CsvView/Controller/Component/CsvViewComponent.php
  DebugKit
  Component
  0DebugKit/Controller/Component/ToolbarComponent.php
  Plugin
  0DebugKit/Lib/DebugMemory.php
  1DebugKit/Lib/Panel/HistoryPanel.php
  2DebugKit/Lib/DebugPanel.php
  3DebugKit/Lib/Panel/SessionPanel.php
  4DebugKit/Lib/Panel/RequestPanel.php
  5DebugKit/Lib/Panel/SqlLogPanel.php
  6DebugKit/Lib/Panel/TimerPanel.php
  7DebugKit/Lib/Panel/LogPanel.php
  8DebugKit/Lib/Log/Engine/DebugKitLog.php
  9DebugKit/Lib/Panel/VariablesPanel.php
  10DebugKit/Lib/Panel/EnvironmentPanel.php
  11DebugKit/Lib/Panel/IncludePanel.php
  12DebugKit/Lib/DebugTimer.php
  LessCompiler
  Component
  0LessCompiler/Controller/Component/LessComponent.php
  Plugin
  0LessCompiler/Lib/LessCompiler.php
  1LessCompiler/Vendor/lessc.php
  Minify
  Config
  0Minify/Config/routes.php
  Opauth
  Config
  0Opauth/Config/bootstrap.php
  1Opauth/Config/routes.php
====

Business Performance (BPI) Network

Report

Actions

Related Programs

Related Tags

Request History

Session

Request

Cake Params

Post data

Query string

Cookie

Current Route

Sql Logs

default

Total Time: 4 ms Total Queries: 28 queries

Query Explain:

Memory

Timers

Logs

View Variables

App Constants

CakePHP Constants

PHP Environment

Included Files

Include Paths

Included Files

Total Time: 4 ms
Total Queries: 28 queries