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• leader
  • Leader
    • id218
    • nameMartin Summerhayes
    • job_titleHead of Delivery Strategy and Service Improvement
    • companyFujitsu
    • headshotMartin (140x140).png
    • company_logoFujitsu Logo (140x60).png
    • bio_full<p>In the UK’s world of IT, Martin Summerhayes is known as “The Billion Dollar Man,” having once innovated a billion dollar business for HP while also working as a field engineer.</p> <p>His expertise in customer experience and service needs derive from innumerable physical visits from his field engineer days, which have enabled him to create enhanced service models with a customer-friendly but up-front extended warranty. This innovation became a huge new revenue stream for Fujitsu, and a model emulated by many companies since its inception. His service ideas stem from customer-centric realizations like this: Why should a customer have to deal with the complexity of choosing between hardware, software or warranty departments in seeking solutions from their provider? Surely the provider should be able to take their problem – or, better still, already know or anticipate the problem – and refer them to the right channels to solve it. </p> <p>Summerhayes is now Head of Delivery Strategy and Service Improvement for Fujitsu – one of the world’s top five IT service providers, with products and services available in more than 100 countries. The company’s “human-centric” tech innovation is far-reaching, ranging from farming sensors for better harvests to software for the hearing impaired, and augmented reality systems to reduce truck rolls for field engineers. Its slew of recent awards includes the Citrix Award for Partners, in which Fujitsu managed to get a key agency of the New Zealand government back online within days of the country’s 7.8 magnitude earthquake, with a cloud-based desktop-as-a-service solution.</p> <p>Rather than seeing their tech portfolios managed in a series of add-ons and piecemeal updates in response to changing needs and improved software, enterprise customers routinely hail the fact that Fujitsu IT services are continuously up-to-date thereby enhancing personalization for the client’s needs.</p> <p>One of Fujitsu’s most famous clients in the UK is McDonald’s. At a recent Fujitsu Forum event, Doug Baker, head of IT for McDonald's UK, said the partnership had gone beyond the traditional “break-fix” contracts of the past, and toward a flexible service which enabled a personalized, optimized customer experience for its 1260 restaurants.</p> <p>The partnership, including the new CARE program, is enabling kiosk-driven table service – and the remarkable recognition that “the biggest focus for technology innovation in restaurants is leveraging a customer’s own device,” – as well as a very human kind of load-balancing, where drive-thrus take simultaneous orders in two lanes and deliver efficiently in one. </p> <p>Having learned some high traffic retail customers do not like the disruption of even rapid response site visits by predictive IT engineers, Fujitsu responded with “invisible service provision.” Martin Smithen, head of Fujitsu’s TMS Offering Development, notes to ensure the success of the remote, invisible support, the service requires customers are kept fully informed. Despite the benefits of optimized engineering support, the role of human intelligence remained on a par with technology in formulating business strategy, Doug Baker, head of IT for McDonald's UK, says, “The most powerful data we have had comes from CARE engineers who go to sites, talk to the stores, and brief us on how the systems are being used.”</p> <p>No one knows the value of both human intelligence and technology better than Summerhayes, who remarks, “The consumer is driving changes like the opportunity for prediction, the cost of IT, and the spread of the Internet of Things. Thirty years ago, we could monitor container ship’s location. Twenty years ago, we could monitor the containers. Ten years ago, we could monitor the pallets in the containers. Now, we are talking about tracking products throughout their entire journey, through lower cost RFID tags on value-based consumer items. Lower levels of granularity present huge opportunities for customers.”</p>
    • summaryMartin Summerhayes is known as “The Billion Dollar Man,” having once innovated a billion dollar business for HP while also working as a field engineer.  His expertise in customer experience and service needs derive from innumerable physical visits from his field engineer days, which have enabled him to create enhanced service models with a customer-friendly but up-front extended warranty. This innovation became a huge new revenue stream for Fujitsu, and a model emulated by many companies since its inception.
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    • created2017-05-19 11:01:37
    • modified2017-06-05 09:03:39
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  • InnovatorProfile
    • id49
    • linkedin_urlhttps://www.linkedin.com/in/martinsummerhayes/
    • summary_bio<p>In the UK’s world of IT, Martin Summerhayes is known as “The Billion Dollar Man,” having once innovated a billion dollar business for HP while also working as a field engineer.</p> <p>His expertise in customer experience and service needs derive from innumerable physical visits from his field engineer days, which have enabled him to create enhanced service models with a customer-friendly but up-front extended warranty. This innovation became a huge new revenue stream for Fujitsu, and a model emulated by many companies since its inception. His service ideas stem from customer-centric realizations like this: Why should a customer have to deal with the complexity of choosing between hardware, software or warranty departments in seeking solutions from their provider? Surely the provider should be able to take their problem – or, better still, already know or anticipate the problem – and refer them to the right channels to solve it.</p> <p>Summerhayes is now Head of Delivery Strategy and Service Improvement for Fujitsu – one of the world’s top five IT service providers, with products and services available in more than 100 countries. The company’s “human-centric” tech innovation is far-reaching, ranging from farming sensors for better harvests to software for the hearing impaired, and augmented reality systems to reduce truck rolls for field engineers. Its slew of recent awards includes the Citrix Award for Partners, in which Fujitsu managed to get a key agency of the New Zealand government back online within days of the country’s 7.8 magnitude earthquake, with a cloud-based desktop-as-a-service solution.</p> <p>Rather than seeing their tech portfolios managed in a series of add-ons and piecemeal updates in response to changing needs and improved software, enterprise customers routinely hail the fact that Fujitsu IT services are continuously up-to-date thereby enhancing personalization for the client’s needs.</p> <p>One of Fujitsu’s most famous clients in the UK is McDonald’s. At a recent Fujitsu Forum event, Doug Baker, head of IT for McDonald's UK, said the partnership had gone beyond the traditional “break-fix” contracts of the past, and toward a flexible service which enabled a personalized, optimized customer experience for its 1260 restaurants.</p> <p>The partnership, including the new CARE program, is enabling kiosk-driven table service – and the remarkable recognition that “the biggest focus for technology innovation in restaurants is leveraging a customer’s own device,” – as well as a very human kind of load-balancing, where drive-thrus take simultaneous orders in two lanes and deliver efficiently in one.</p> <p>Having learned some high traffic retail customers do not like the disruption of even rapid response site visits by predictive IT engineers, Fujitsu responded with “invisible service provision.” Martin Smithen, head of Fujitsu’s TMS Offering Development, notes to ensure the success of the remote, invisible support, the service requires customers are kept fully informed. Despite the benefits of optimized engineering support, the role of human intelligence remained on a par with technology in formulating business strategy, Doug Baker, head of IT for McDonald's UK, says, “The most powerful data we have had comes from CARE engineers who go to sites, talk to the stores, and brief us on how the systems are being used.”</p> <p>No one knows the value of both human intelligence and technology better than Summerhayes, who remarks, “The consumer is driving changes like the opportunity for prediction, the cost of IT, and the spread of the Internet of Things. Thirty years ago, we could monitor container ship’s location. Twenty years ago, we could monitor the containers. Ten years ago, we could monitor the pallets in the containers. Now, we are talking about tracking products throughout their entire journey, through lower cost RFID tags on value-based consumer items. Lower levels of granularity present huge opportunities for customers.”</p>
    • answer_1<p>Fujitsu is an organization that manufactures everything from telephony systems to PCs, mobile phones, enterprise servers, mainframes - and much more. It operates in a software development space and provides solutions for customers.</p> <p>In Fujitsu, we hope to bring intelligence, big data, analytics, predictability, and predictive tools together to answer big questions: How can we better track trends and anomalies? How can we predict failure before failure occurs? How can we drive preventative programs? How can we use our engineering workforce, our partner workforce, and our repair workforce to ensure our customers do not experience downtime? My team is leveraging software tools and partners, plus the knowledge we have developed to be able to look at that space.</p> <p>A new type of service model called CARE uses intelligent engineering to drive and support the customer’s changing requirements. One of our prominent customers, McDonald's, is leveraging our CARE service to allow customers to pre-order and select a time for pick up before the customer gets to the store via an app on their phone; the customer can use a connected kiosk; customers have a choice.</p> <p>Fujitsu ensures uptime and availability to those stores, which often operate 24/7.</p> <p>As a part of the outsourcing space within my team, I look in how Fujitsu provides managed services to customers who have either IT products or It services provided by another partner we can take over.</p> <p>From a game-changing perspective, ten years ago, there was IT outsourcing version 1.0 – where the company decided to move it to a partner who managed its IT provision on a holistic basis. Outsourcing moved through a tower model called IT managed services or outsourcing version 2.0, in which the IT provision breaks up into various towers. It is like an orchestra of independent companies playing together, or the company orchestrating it themselves.</p> <p>My team is looking at how we provision engineering-type services, provided either remotely or on customer sites. It is <em>how</em> we provision and make available those engineering services to customers that is a key game changer. We hope to provide a service before the customer realizes they have a problem.</p> <p>Fujitsu tries and pilots programs like an intelligent error engineering deployment for one of their customers in the UK. Their goal is to take it from white screen concepts to a working prototype within two weeks.</p> <p>We are looking at augmented reality from our engineering workforce perspective. The ability to use a smartphone, and point at another device for both visual and providing verbal instructions to the engineer in the terms of how best to resolve the problem.</p> <p>Fujitsu hopes to use virtual reality tools to train our engineers like "just in time training" - broadly scaling our engineering workforce in terms of a core set of skills.</p>
    • answer_2<p>Speed is the biggest hurdle to overcome when it comes to IT services, as our customers expect rapid deployment and zero downtime. The complications of adopting speed of change with the challenge of demonstrating return on investment limit innovation. It becomes difficult to clearly articulate the value of innovation without taking the C-suite on a customer experience journey, where they can clearly articulate those savings.</p>
    • answer_3<p>Fujitsu’s innovation depends on the speed of adoption versus the speed of change. Most companies, whether banks, retail institutions, or manufacturers, have a legacy environment plus a small element of new code, and its service models vary dependent on those factors.</p> <p>Amazon is a disruptor in retailing and supermarkets. In the UK, Amazon states they are the online supermarket. Consumers can even order fresh produce from Amazon. Many companies are seeing disruption within their industry by new competitors.</p> <p>There is little to consider as first generation, innovative. Small pocket organizations create an innovative idea, it develops, and then it is realized as a blue ocean market opportunity or a disruptive market opportunity. That is how innovation happens, and how innovation gets inculcated in an organization.</p> <p>I see innovation in Fujitsu and in many of its competitors. Fujitsu implements an encouraging culture for innovation. The challenge is in demonstrating the business case and the return on investment.</p>
    • answer_4<p>Within IT services, the Internet of Things, the connectivity of many devices, and the integration of big data through analytics will be the major industry disruptors.</p> <p>Augmented reality and virtual reality will have an impact, although AR will be more prevalent. It is how companies bring those various elements together around industry vertical solutions. How vertical solutions are brought together to offer a solution to the customer is key.</p>
    • answer_5<p>Google’s innovations are highly compelling. When traveling, Google gives online recommendations through Google Maps in terms of products and services nearby the user. A consumer can submit photographs and narratives of places they have visited via social media channels, and contribute to shared information.</p>
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    • Article
      • id1365
      • date2023-01-04
      • titleIs Your Company Mistaking Technology For Digital Transformation?
      • author(null)
      • publisherForbes
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      • urlhttps://www.forbes.com/sites/sap/2023/01/24/is-your-company-mistaking-technology-for-digital-transformation/?sh=4eb4bfa771e9
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    • Article
      • 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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      • created2020-08-12 17:48:21
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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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      • date2020-07-22
      • titleHybrid Cloud Security: Benefits and Challenges
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      • publisherBusiness2Community
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      • urlhttps://www.business2community.com/cloud-computing/hybrid-cloud-security-benefits-and-challenges-02329045
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      • created2020-08-12 17:47:17
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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. 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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      • id1360
      • date2020-07-22
      • titleIt’s Time To Rethink How To Get More From Your Data
      • author
      • publisherForbes
      • description
      • 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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      • created2020-08-12 17:47:53
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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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      • date2020-07-21
      • title8 Innovation Trends Cultivating the 'Next Normal' Post COVID-19
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      • publisherBecker's Health IT
      • description
      • urlhttps://www.beckershospitalreview.com/digital-transformation/providence-8-innovation-trends-cultivating-the-next-normal-post-covid-19.html
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    • Article
      • id1363
      • date2020-07-21
      • titleThe power of emerging technologies: Finding value through data
      • author
      • publisherMckinsey Digital
      • description
      • 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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        • 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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      • titleBanks Must Leverage 5G, AI, and Cloud to Meet Post-COVID-19 Challenges
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      • titleSmall Business Owners Optimistic About Economic Recovery Post-COVID
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      • urlhttps://adigitalboom.com/facebook-wb-and-oecd-survey-small-business-owners-optimistic-about-economic-recovery-post-covid/
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      • date2018-03-12
      • titleSXSW 2018: Why Emulating a Self-Driving Car Might Be the Best Way to Plan for Them
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      • titleProcessors Must Overcome Fear to Drive Innovation
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      • titleFirst Petroleum Business Network Launches In Lebanon
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      • descriptionThis exclusive Transform to Better Perform CIO Roundtable has been organized by the Business Performance Innovation (BPI) Network to generate fresh thinking and best practice ideas around an emerging, new scorecard for IT. Being held in conjunction with DatacenterDynamics’ Internet Event at the San Francisco Marriot Marquis, the noon roundtable will bring together a small group of top executives to discuss the new demands and requirements on IT to advance competitive differentiation, build business value and engage customer markets.  The discussion will draw on new BPI Network research and provide ideas and content for a new global report. Participating IT executives are also invited to attend the DatacenterDynamics conference as VIP guests if they choose. To enroll, email Sally: <a href="mailto:squigley@bpinetwork.org">squigley@bpinetwork.org</a>.
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      • nameTransform the Data Center Into an Innovation Engine
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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>
      • urlhttps://www.apqc.org/knowledge-base/documents/using-data-center-drive-innovation
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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>
      • urlhttp://www.bpinetwork.org/keeping-business-in-balance-webcast
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        • id8
        • titlePredictability Through Planning Agility
        • subtitleBest Practices in Collaborative Budgeting and Continuous Business Rebalancing
        • 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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      • summary<p>In today’s environment of accelerated business cycles, non-traditional global competitiveness and financial accountability, making good decisions is one of the most important functions of a business. However, decision making may be one of the least understood or defined processes within the organization. Executive decisions have become more costly and complex, and yet are critical to a company’s success.</p>
      • authorBPI
      • body<p>In today’s environment of accelerated business cycles, non-traditional global competitiveness and financial accountability, making good decisions is one of the most important functions of a business. However, decision making may be one of the least understood or defined processes within the organization. Executive decisions have become more costly and complex, and yet are critical to a company’s success.</p>
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        • titleBusiness Volatility & Variables
        • subtitle
        • summary<p>Adaptive 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.</p>
        • description<p>Adaptive 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.</p>
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        • thumbnail
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• $request->data(empty)
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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	aC2vVJrRrwXh0JFEfyX4TQAAjQE
Redirect Redirect Script Url	/leaders/view/218
Redirect Redirect Script Uri	https://bpinetwork.org/leaders/view/218
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	3
Redirect Redirect H2 Stream Tag	25429-165-3
Redirect Redirect Status	200
Redirect Unique Id	aC2vVJrRrwXh0JFEfyX4TQAAjQE
Redirect Script Url	/leaders/view/218
Redirect Script Uri	https://bpinetwork.org/leaders/view/218
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	3
Redirect H2 Stream Tag	25429-165-3
Redirect Status	200
Unique Id	aC2vVJrRrwXh0JFEfyX4TQAAjQE
Script Url	/leaders/view/218
Script Uri	https://bpinetwork.org/leaders/view/218
Https	on
Ssl Tls Sni	bpinetwork.org
Http2	on
H2push	off
H2 Push	off
H2 Pushed
H2 Pushed On
H2 Stream Id	3
H2 Stream Tag	25429-165-3
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	3.133.83.94
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	1429
Redirect Url	/app/webroot/leaders/view/218
Gateway Interface	CGI/1.1
Server Protocol	HTTP/2.0
Request Method	GET
Query String
Request Uri	/leaders/view/218
Script Name	/app/webroot/index.php
Php Self	/app/webroot/index.php
Request Time Float	1747824468.2109
Request Time	1747824468
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

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  • Controller
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  • Log
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    • 1CORE/Log/LogEngineCollection.php
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    • 6CORE/Routing/Route/RedirectRoute.php
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  • Utility
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    • 6CORE/Utility/Folder.php
  • View
    • 0CORE/View/HelperCollection.php
• app
  • Component
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  • Config
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  • Controller
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  • Model
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    • 5APP/Model/Report.php
    • 6APP/Model/Leader.php
    • 7APP/Model/Program.php
    • 8APP/Model/Tag.php
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    • 10APP/Model/Tracking.php
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    • 13APP/Model/InnovatorProfile.php
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    • 1APP/Lib/AppError.php
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• plugins
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      • 9DebugKit/Lib/Panel/VariablesPanel.php
      • 10DebugKit/Lib/Panel/EnvironmentPanel.php
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      • 12DebugKit/Lib/DebugTimer.php
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    • Plugin
      • 0LessCompiler/Lib/LessCompiler.php
      • 1LessCompiler/Vendor/lessc.php
  • Minify
    • Config
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  • Opauth
    • Config
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      • 1Opauth/Config/routes.php