Business Performance (BPI) Network: Reports

Report

Id: 1
Date: 2013-08-26
Title: Less Burn, More Return
Summary: American community banks and credit unions are overpaying for core processing and IT services at a time when cutting non-interest expense is critical to survival and growth. Less Burn. More Return is a new study by the Business…
Author: BPI Network
Body: American community banks and credit unions are overpaying for core processing and IT services at a time when cutting non-interest expense is critical to survival and growth. Less Burn. More Return is a new study by the Business Performance Innovation Network that examines key challenges facing community financial institutions, including increased regulation, growing competition from large institutions, and tightening net interest margins. However, the study finds that management teams can find some relief. Institutions are reducing the cost of core services by as much as 43 percent, and by an average of 24 percent, by restructuring vendor contracts based on national pricing data.
Image: Less Burn_136x176.jpg
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Created: 2013-08-26 11:56:45
Modified: 2014-07-08 14:07:14

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Related Programs

Id	Title	Subtitle	Description	Date	Created	Modified	Actions
2	Grow Smart from the Start	Planning for Profitable Growth Through Better Management of Core & IT Services	For community banks and credit unions, it’s a whole new world. The economy is finally growing again, but so are the risks and challenges. Interest rates remain near historic lows, but for how long? Spreads are tight and squeezing profitability. Compliance is a bigger, more costly challenge than ever—especially for smaller institutions. Competition from larger financial services companies and even new players has forced community institutions to think and act differently, particularly about how they cost-effectively use technology to engage and retain customers. Economies of scale are ever more important, making mergers and acquisitions a hot topic of discussion for everyone in the industry. Smarter growth needs to be the mantra for every institution. Rigorous control of non-interest expense, minimizing downstream risks and costs, becoming better positioned to optimize valuations and accretive value in any merger or acquisition—these are among the challenges bank and credit union executives and their boards must meet. Grow Smart from the Start is a new thought leadership and research initiative by the Business Performance Innovation Network that examines critical issues and best practices in structuring relationships and contracts with core and IT services vendors to ensure more profitable and valued business outcomes for community financial institutions. Grow Smart from the Start builds on past BPI Network research, developed in partnership with Paladin fs. That research shows that community banks and credit unions have a major opportunity to reduce non-interest expense and improve the accretive value of mergers and acquisition by intelligently restructuring their contracts with core services and IT vendors. Grow Smart from the Start will include new research into this topic and other issues related to managing contracts and relationships with vendors to increase profitable growth, reduce risks, and affordably advance the digital capabilities of community financial institutions.	2015-04-29	2013-08-28 14:41:40	2016-02-26 14:24:01	View Edit Delete

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Description

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Grow Smart from the Start

Planning for Profitable Growth Through Better Management of Core & IT Services

For community banks and credit unions, it’s a whole new world. The economy is finally growing again, but so are the risks and challenges. Interest rates remain near historic lows, but for how long? Spreads are tight and squeezing profitability. Compliance is a bigger, more costly challenge than ever—especially for smaller institutions. Competition from larger financial services companies and even new players has forced community institutions to think and act differently, particularly about how they cost-effectively use technology to engage and retain customers. Economies of scale are ever more important, making mergers and acquisitions a hot topic of discussion for everyone in the industry.

Smarter growth needs to be the mantra for every institution. Rigorous control of non-interest expense, minimizing downstream risks and costs, becoming better positioned to optimize valuations and accretive value in any merger or acquisition—these are among the challenges bank and credit union executives and their boards must meet.

Grow Smart from the Start is a new thought leadership and research initiative by the Business Performance Innovation Network that examines critical issues and best practices in structuring relationships and contracts with core and IT services vendors to ensure more profitable and valued business outcomes for community financial institutions. Grow Smart from the Start builds on past BPI Network research, developed in partnership with Paladin fs. That research shows that community banks and credit unions have a major opportunity to reduce non-interest expense and improve the accretive value of mergers and acquisition by intelligently restructuring their contracts with core services and IT vendors.

Grow Smart from the Start will include new research into this topic and other issues related to managing contracts and relationships with vendors to increase profitable growth, reduce risks, and affordably advance the digital capabilities of community financial institutions.

2015-04-29

2013-08-28 14:41:40

2016-02-26 14:24:01

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 summaryAmerican community banks and credit unions are overpaying for core processing and IT services at a time when cutting non-interest expense is critical to survival and growth. Less Burn. More Return is a new study by the Business…
 authorBPI Network
 bodyAmerican community banks and credit unions are overpaying for core processing and IT services at a time when cutting non-interest expense is critical to survival and growth. Less Burn. More Return is a new study by the Business Performance Innovation Network that examines key challenges facing community financial institutions, including increased regulation, growing competition from large institutions, and tightening net interest margins. However, the study finds that management teams can find some relief. Institutions are reducing the cost of core services by as much as 43 percent, and by an average of 24 percent, by restructuring vendor contracts based on national pricing data.
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 descriptionFor community banks and credit unions, it’s a whole new world. The economy is finally growing again, but so are the risks and challenges. Interest rates remain near historic lows, but for how long? Spreads are tight and squeezing profitability. Compliance is a bigger, more costly challenge than ever—especially for smaller institutions. Competition from larger financial services companies and even new players has forced community institutions to think and act differently, particularly about how they cost-effectively use technology to engage and retain customers. Economies of scale are ever more important, making mergers and acquisitions a hot topic of discussion for everyone in the industry. Smarter growth needs to be the mantra for every institution. Rigorous control of non-interest expense, minimizing downstream risks and costs, becoming better positioned to optimize valuations and accretive value in any merger or acquisition—these are among the challenges bank and credit union executives and their boards must meet. <a href="../../../thought-leadership/studies/56"><img style="margin-top: 20px; margin-bottom: 20px;" src="../../../img/thought-leadership-banners/GrowSmartFromTheStart-Report-Banner_600x150.jpg" alt="" width="100%" /></a> Grow Smart from the Start is a new thought leadership and research initiative by the Business Performance Innovation Network that examines critical issues and best practices in structuring relationships and contracts with core and IT services vendors to ensure more profitable and valued business outcomes for community financial institutions. Grow Smart from the Start builds on past BPI Network research, developed in partnership with Paladin fs. That research shows that community banks and credit unions have a major opportunity to reduce non-interest expense and improve the accretive value of mergers and acquisition by intelligently restructuring their contracts with core services and IT vendors. Grow Smart from the Start will include new research into this topic and other issues related to managing contracts and relationships with vendors to increase profitable growth, reduce risks, and affordably advance the digital capabilities of community financial institutions. 
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 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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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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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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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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  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
  CsvView
  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
====

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Total Time: 0 ms Total Queries: 28 queries

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Total Time: 0 ms
Total Queries: 28 queries