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• innovatorProfile
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    • linkedin_urlwww.linkedin.com/in/nicolealexander
    • summary_bio<p>Nicole Alexander is a marketer and lecturer; the quintessential unconventional marketer who has an extensive background working in digital media with an enviable list of blue-chip brands. She leads the Innovation Practice for Nielsen China and in this role she advises clients on the importance of evolving consumer journeys to deliver stronger returns on investment while eliminating fragmentation of brand communication across channels. </p>
    • answer_1<p>It should start from both the top and the bottom of an organization. Where leadership enables a culture of inspiring teams to develop ideas around change, provoke them to act on that change and then develop a framework that supports test/pilots to scale innovations that can be successful.</p>
    • answer_2<p>Expertise. Even the best organizations believe they have the skills and expertise in-house or know how to access it in order to plan and make pivotal decisions. With today’s digital landscape there is an access to a global network of creative minds with depth of knowledge across sectors. By utilizing Open Innovation to understand how to develop new solutions, evolve existing frameworks and plan for human capital they will need to change their mindsets in a changing environment.</p>
    • answer_3<p>Unilever has been successful in adopting innovation from the bottom up and top down and supporting it within their communications; their day-to-day planning and how their employees are measured. Their new Global SVP of Consumer & Market Insights, Stan Sthanunathan, has been the mastermind behind this transformation supporting and provoking the organization to think differently from developing Innovation Centers to leveraging integrated data and insight globally. They are looking at consumerization today and in the future – particularly in D&E markets – and leveraging those insights to not only innovate on existing products but develop new ones with an eye on their sustainable footprint.</p>
    • answer_4<p>Machine Learning (i.e. Big Data and AI) will be the largest drivers of technological changes in the coming years, particularly when those solutions can pair complex processing decision making with human-like judgment. In the short-term, the rise of Machine capabilities could increase productivity and economic growth, causing a shift in human capital and growth patterns particularly within D&E markets. We currently see signs of this across medical, research, agriculture and transportation areas. In the longer-term, if Machines exceed human capabilities we will see a devaluation of labor, increase in income disparities paired with increasing GDP. The great challenge will be how we ensure that this rapid technological shift doesn’t leave people behind and blend that with policy change, education, and a fundamental shift in how we view capitalism.</p>
    • answer_5<p>Firstly, I admire any company that challenges the good enough or “this is how things have always been done”, mindset. Uber – who brings drivers together with customers – has innovated the way we experience on-demand transportation while also allowing individuals with a vehicle to be entrepreneurs. </p>
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    • nameNicole Alexander
    • job_titleVP of Innovation Practice
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    • bio_full<p>Nicole Alexander is a marketer and lecturer; the quintessential unconventional marketer who has an extensive background working in digital media with an enviable list of blue-chip brands. She leads the Innovation Practice for Nielsen China and in this role she advises clients on the importance of evolving consumer journeys to deliver stronger returns on investment while eliminating fragmentation of brand communication across channels. Nicole also enjoys teaching Digital Analytics within the Master of Science in Integrated Marketing program as part of New York University’s adjunct faculty.</p> <p>With over 15 years of integrated marketing, client strategy, and analytics experience - from start-ups to global firms - Nicole has worked across multiple sectors with companies requiring dynamic insights and technology oriented solutions.</p> <p>Nicole holds a bachelor’s degree from New York University and a Global Executive MBA jointly issued by New York University Stern School of Business, London School of Economics and HEC Paris.</p>
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    • created2014-11-10 09:15:15
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    • Article
      • id1365
      • date2023-01-04
      • titleIs Your Company Mistaking Technology For Digital Transformation?
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      • 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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      • id1361
      • date2020-08-10
      • titleA Cornucopia Of Cloud Storage Solutions
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      • publisherForbes
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      • 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
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      • 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
      • 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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      • 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
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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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        • 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. 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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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Http Host	bpinetwork.org
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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	3.147.48.123
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	36797
Redirect Url	/app/webroot/innovator_profiles/view/20
Gateway Interface	CGI/1.1
Server Protocol	HTTP/2.0
Request Method	GET
Query String
Request Uri	/innovator_profiles/view/20
Script Name	/app/webroot/index.php
Php Self	/app/webroot/index.php
Request Time Float	1745879408.3506
Request Time	1745879408
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