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• innovatorProfile
  • InnovatorProfile
    • id34
    • linkedin_urlhttps://au.linkedin.com/pub/barry-money/a/0/b49
    • summary_bio<p>Barry Money insists that the Japanese innovation concepts of kaizen and kaikaku represent the twin competitive engines for a cramped automotive market. With Toyota already hailed as a classic model of both disruptive and incremental innovation, Money says the most urgent challenge is to direct disruptive strategies toward creating lifelong customers, and to transforming the used vehicle market.</p> <p>Scores of dealerships in Australia are already reaping the rewards of offering personalized benefits to repeat customers, driven by integrated big data tools, and a laser-focus on loyalty. While some brands are offering car sales directly online, Toyota is using digital resources to enrich person-to-person relationships throughout the dealer network, including an innovative sales and service collaboration.</p> <p>Money tells BPI that other connectivity technologies are also being piloted. However – having worked everywhere from the production line to the logistics desk at Toyota – Money believes that trust remains the one truly indispensable asset.</p>
    • answer_1<p>Toyota has the largest number of units in operation in the Australian automotive market. We have more owners on the road than any other brand. Our strong dealer network services many of these customers. With innovative service, finance and repurchase products, we have the ability to move customers from their existing vehicle into a newer vehicle – which provides the customers with that Oh What A Feeling emotion as well as great value.</p> <p>The specific innovation that my team has delivered is combining the best of our service and sales departments and assisting our customers to move from their current vehicle to a new vehicle. We call this sales and service collaboration. It’s been tried before in the market, but this time we have strong system support, combined with training, on site consulting, KPI management and follow up and most importantly segmentation and one-to-one marketing that tailors the offering to the needs of the customers.</p>
    • answer_2<p>The dealer network and the automotive franchises have a strong culture and process that has worked well for a long time. But with an increase in the competition in the market from new entrants such as newer manufacturers as well as newer technologies that facilitate the automotive buying process, plus the threat of policy changes by government, it is important that the industry continues to adapt and change in a dynamically changing economy and market. Therefore, the biggest issue is creating an innovative and dynamic culture that looks to new ideas, new ways, new opportunities and challenges the status quo head on. Risk is part of business and understanding and managing that risk is important. But progress in the face of risk is mandatory. Standing still is not an option.</p>
    • answer_3<p>Toyota is synonymous with kaizen – continuous improvement. After ten years in Japan, I saw with my own eyes the lengths to which Toyota goes in order to create even better products and services. I was captured as a young executive by the passion and intelligence of my kaizen mentors and I have tried to bring that to the Australian market. <br /><br />Toyota practices kaizen in every thing it does. However, sometimes, incremental improvements are not enough – that is when “kaikaku” or revolutionary innovation is required. As part of the Retail Development team at Toyota, we are trying new technologies and processes in order to transform the way we do business with our dealers and more importantly how we engage with and satisfy our customers.</p>
    • answer_4<p>Consumers shop across brands and industries. They expect to be able to experience the same levels of excellence in any category – they carry their expectations horizontally across different industries. This expectation has been facilitated through the internet.</p> <p>As the new vehicle market has plateau’d, the franchises will be looking to capitalize on their existing owners, the loyalty from these owners and products and services that optimize the customer experience for this segment of the franchise’s market. </p>
    • answer_5<p>Recently we have undertaken a study of various technology-based products in the market that would be useful for our dealer network. WIFI based customer tracking and profiling, sales process support technologies, MAC address tracking on handheld devices among others.</p> <p>While each technology has great merit in the right context, the key is not in the technology. It is in the connection to the consumer on a one-to-one basis. Technology that can support and facilitate that type of tailored connection with our customers is the next step for automotive franchises, in my opinion.</p>
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  • Leader
    • id158
    • nameBarry Money
    • job_titleGeneral Manager - Retail Development
    • companyToyota Australia
    • headshotBarry_moneyV2_140x140.jpg
    • company_logoToyota-logo_140x60.jpg
    • bio_full<p>Barry Money insists that the Japanese innovation concepts of kaizen and kaikaku represent the twin competitive engines for a cramped automotive market. With Toyota already hailed as a classic model of both disruptive and incremental innovation, Money says the most urgent challenge is to direct disruptive strategies toward creating lifelong customers, and to transforming the used vehicle market.</p> <p>Scores of dealerships in Australia are already reaping the rewards of offering personalized benefits to repeat customers, driven by integrated big data tools, and a laser-focus on loyalty. While some brands are offering car sales directly online, Toyota is using digital resources to enrich person-to-person relationships throughout the dealer network, including an innovative sales and service collaboration.<br /><br />Money tells BPI that other connectivity technologies are also being piloted. However – having worked everywhere from the production line to the logistics desk at Toyota – Money believes that trust remains the one truly indispensable asset.<br /><br />To learn more about how Toyota is embracing “kaikaku” innovation to transform car markets check out this <a href="../../../thought-leadership/views-commentary/401/how_toyota_is_again_embracing_kaikaku_innovation_to_transform_new_and_used_car_markets">feature commentary</a>.</p>
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    • created2015-10-12 11:31:21
    • modified2017-04-17 08:39:58
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    • Article
      • id1365
      • date2023-01-04
      • titleIs Your Company Mistaking Technology For Digital Transformation?
      • author(null)
      • publisherForbes
      • description(null)
      • urlhttps://www.forbes.com/sites/sap/2023/01/24/is-your-company-mistaking-technology-for-digital-transformation/?sh=4eb4bfa771e9
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      • id1361
      • date2020-08-10
      • titleA Cornucopia Of Cloud Storage Solutions
      • author
      • publisherForbes
      • description
      • urlhttps://www.forbes.com/sites/tomcoughlin/2020/08/10/a-cornucopia-of-cloud-storage-solutions/#66c77bb76938
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    • Program
      • 0
        • id31
        • 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.
        • description<p><strong>Overview</strong></p> <p>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.</p> <p>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.</p> <p>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.</p> <p><strong> </strong></p> <p><strong>Background</strong></p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p> </p> <p><strong>The Data Logistics Mandate</strong></p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.<br /><br /><strong>To get involved in this initiative, please reach out to <a href="mailto:dmurray@bpinetwork.org">Dave Murray</a>. </strong></p>
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      • id1359
      • date2020-07-22
      • titleHybrid Cloud Security: Benefits and Challenges
      • author
      • publisherBusiness2Community
      • description
      • urlhttps://www.business2community.com/cloud-computing/hybrid-cloud-security-benefits-and-challenges-02329045
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        • id31
        • 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.
        • description<p><strong>Overview</strong></p> <p>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.</p> <p>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.</p> <p>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.</p> <p><strong> </strong></p> <p><strong>Background</strong></p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p> </p> <p><strong>The Data Logistics Mandate</strong></p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.<br /><br /><strong>To get involved in this initiative, please reach out to <a href="mailto:dmurray@bpinetwork.org">Dave Murray</a>. </strong></p>
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      • date2020-07-22
      • titleIt’s Time To Rethink How To Get More From Your Data
      • author
      • publisherForbes
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      • urlhttps://www.forbes.com/sites/forbestechcouncil/2020/07/22/its-time-to-rethink-how-to-get-more-from-your-data/#3117717c6762
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        • id31
        • 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.
        • description<p><strong>Overview</strong></p> <p>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.</p> <p>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.</p> <p>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.</p> <p><strong> </strong></p> <p><strong>Background</strong></p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p> </p> <p><strong>The Data Logistics Mandate</strong></p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.<br /><br /><strong>To get involved in this initiative, please reach out to <a href="mailto:dmurray@bpinetwork.org">Dave Murray</a>. </strong></p>
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      • date2020-07-21
      • title8 Innovation Trends Cultivating the 'Next Normal' Post COVID-19
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      • publisherBecker's Health IT
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      • urlhttps://www.beckershospitalreview.com/digital-transformation/providence-8-innovation-trends-cultivating-the-next-normal-post-covid-19.html
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      • id1363
      • date2020-07-21
      • titleThe power of emerging technologies: Finding value through data
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      • publisherMckinsey Digital
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      • urlhttps://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/tech-forward/the-power-of-emerging-technologies-finding-value-through-data
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    • Program
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        • id31
        • 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.
        • description<p><strong>Overview</strong></p> <p>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.</p> <p>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.</p> <p>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.</p> <p><strong> </strong></p> <p><strong>Background</strong></p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p> </p> <p><strong>The Data Logistics Mandate</strong></p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>Advancing data logistics is a major imperative for today’s data-driven organizations and their chief data officers. 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      • description<p>An <a href="http://reinventdatacenters.com/advocacy/report">in-depth, global report</a> from the <a href="http://bpinetwork.org/">BPI Network</a> explains how this major shift is already changing the nature of IT, enhancing security and increasing reliability for many companies – and why those who wait will be left behind. Join BPI Editorial Director <strong>Tom Murphy</strong> and <strong>Richard Garratt</strong>, director of data center solutions at Dimension Data, in an important <a href="https://www.apqc.org/knowledge-base/documents/using-data-center-drive-innovation">APQC podcast</a> as they analyze the cause and explore how this transformation will improve the quality of services to consumers while positioning businesses to grow with far greater cost-efficiencies.  </p>
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      • description<p>Today’s senior FP&A executives are facing a critical need to provide a more responsive, flexible and continuous planning, budgeting and forecasting process that will allow them to adapt to changing market conditions and opportunities, which will enable their financial planning to become more relevant and valuable to business outcomes. In this thought leadership webinar we will look at the organizational roadblocks and challenges that are keeping the financial planning function from delivering greater business and decision-making value across the organization and hear from leading executives on how to implement new thinking and processes.</p>
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        • summary<p>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.  </p>
        • description<p>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.</p> <p><a title="Download Report Now" href="../../../thought-leadership/studies/49/download-report-predictability-through-planning-agility">Download Report Now »</a></p> <p>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.  </p>
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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	29721-154-1
Redirect Status	200
Unique Id	aC4TpwHGsV_bkOFtPprV4gABSgE
Script Url	/innovator_profiles/view/34
Script Uri	https://bpinetwork.org/innovator_profiles/view/34
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	29721-154-1
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	3.145.208.57
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	61573
Redirect Url	/app/webroot/innovator_profiles/view/34
Gateway Interface	CGI/1.1
Server Protocol	HTTP/2.0
Request Method	GET
Query String
Request Uri	/innovator_profiles/view/34
Script Name	/app/webroot/index.php
Php Self	/app/webroot/index.php
Request Time Float	1747850151.9028
Request Time	1747850151
Argc	0

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

• core
  • Behavior
    • 0CORE/Model/Behavior/ContainableBehavior.php
  • Cache
    • 0CORE/Cache/Cache.php
    • 1CORE/Cache/Engine/FileEngine.php
    • 2CORE/Cache/CacheEngine.php
  • Component
    • 0CORE/Controller/Component/SessionComponent.php
    • 1CORE/Controller/Component/AuthComponent.php
  • 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
    • 0CORE/Error/exceptions.php
    • 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
    • 4CORE/Log/CakeLogInterface.php
  • Model
    • 0CORE/Model/Model.php
    • 1CORE/Model/BehaviorCollection.php
    • 2CORE/Model/ConnectionManager.php
    • 3CORE/Model/ModelBehavior.php
  • Network
    • 0CORE/Network/CakeRequest.php
    • 1CORE/Network/CakeResponse.php
  • Other
    • 0CORE/bootstrap.php
    • 1CORE/basics.php
    • 2CORE/Core/App.php
    • 3CORE/Core/Configure.php
    • 4CORE/Core/CakePlugin.php
    • 5CORE/Event/CakeEventListener.php
    • 6CORE/Event/CakeEvent.php
    • 7CORE/Event/CakeEventManager.php
    • 8CORE/Core/Object.php
  • Routing
    • 0CORE/Routing/Dispatcher.php
    • 1CORE/Routing/Filter/AssetDispatcher.php
    • 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/InnovatorProfilesController.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
    • 13APP/Model/InnovatorProfile.php
  • Other
    • 0APP/webroot/index.php
    • 1APP/Lib/AppError.php
    • 2APP/Vendor/ChromePhp/ChromePhp.php
    • 3APP/Lib/Captcha/Captcha.php
• plugins
  • 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