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• innovatorProfile
  • InnovatorProfile
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    • linkedin_urlil.linkedin.com/pub/lilach-felner/68/2a7/77a
    • summary_bio<p>Lilach Felner is a marketing consultant and lecturer specializing in building customer trust. She helps companies and brands become trustworthy by injecting trust into their businesses. As a marketer of multinational consumer brands for over 15 years, Lilach has experienced first-hand the tsunami of consumer militancy towards companies and brands, social media escalation and the dramatic transition of power to consumers. Her Trustworthy Marketing Approach helps organizations and brands become more worthy of their customers’ trust in the age of open social communication. </p>
    • answer_1<p>First, the organization must be managed by strong leaders that know where the organization is heading, and have a clear purpose and clear goals. Second, in order to make the changes happen, the organization needs a management that "walks the walk", adheres to its values and lives by them. Essentially, an organization needs management that believes in the necessity of change, and is willing to be committed to the change and its implications. Third, rolling out the change depends on management's ability to lead and inspire its employees, to empower those who come up with ideas, nurture them and activate them as advocates.  In order to execute change, the employees must be involved. This is why the management should have an "open door policy," encouraging an open flow of communication and demonstrating high levels of accessibility. Fourth, another critical parameter for rolling out innovation and change is trust. In an atmosphere of trust, innovation and speed reach their full potential. </p>
    • answer_2<p>Based on my experience, the biggest obstacles to change and innovation are as follows:</p> <p>Short term-ism: A short-term managerial attitude includes management that is focused on short-term gain rather than long-term growth, management that finds it difficult to balance the need for long-term strategy with short-term results demanded by the market, and management that doesn't communicate a long-term vision for the business.</p> <p>A continuously decreasing Chief Executive Officer tenure: CEOs and senior executives with short tenure seem to have few incentives to embrace long-term oriented behavior. They find themselves facing an intriguing ethical dilemma between optimizing their financial pay-off within their own tenure and securing the longer-term well-being of the organization. According to a 2014 report released by The Conference Board, the average tenure of a departing S&P 500 company CEO has decreased in recent years, from roughly 10 years in 2000 to 8.1 years in 2012.</p>
    • answer_3<p>The innovation process should start from the CEO and the management team in order to give it the focus and the priority it deserves. A special committee for innovative change should be appointed with representatives from all relevant departments. Employees should feel they are involved as well. In order to examine the effectiveness and the results of the process, a 'before and after' survey should be conducted. It is recommended to plan a kick-off session with all relevant employees in order to create involvement and engagement and build their commitment.  </p>
    • answer_4<p>Given the erosion in customer trust towards organizations and brands due to a history of over-promising and under-delivering, not only do we find more and more customers who arm themselves with as much unbiased information as possible but also more and more consumers who trust what their peers say. In this reality, I believe new technologies should focus on the 'social customers', those customers that are constantly engaging with one another in order to seek out advice and opinions from their peers. Engaging these powerful, trusted voices has become even more important considering that 92 percent of consumers around the world say they trust earned media, such as recommendations from friends and family (Nielsen’s Global Trust in Advertising Report).  Another area that challenges new technologies lies in the proliferation of communications channels. The challenge is to create a seamless, omni-channel solution that will provide a single, <em>seamless experience </em>for the customer across all channels. The customer views the company as being one company no matter how many channels it has. Each platform needs to have awareness of the other. This means a lot of coordination between IT and marketing. </p>
    • answer_5<p>I have two examples of trustworthy leaders who embody the innovation mindset in the way they lead.</p> <p>Tony Hsieh, the inspiring widely-admired founder and CEO of Zappos.How often do we see a company where most of its efforts towards customers happen after they’ve made the sale? How often do we see a company that has reps who are trained so that when a customer is looking for a specific pair of shoes, if they’re out of stock (for example, they don’t have their size), they will look on at least three competitor web sites and refer the customer to that competitor if they find the shoe the customer is looking for? Hsieh has innovated the way Zappos treats its employees, its customers, and its suppliers. Hsieh is an inspiring example of a leader who believes that being true to your own values is fundamental to how others will perceive you.</p> <p>Peter Aceto, the President and CEO of Tangerine—formerly ING Direct Canada. How often do we see a CEO who measures his employees’ views about his leadership after his first year as CEO? After his first year as CEO, Peter Aceto decided to send a company-wide email, inviting everyone to vote on whether they wanted him to remain in charge. He was prepared to leave the position if the employees weren’t inspired by his leadership. The response rate was 95% and of those who responded 97% said he should stay. </p>
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  • Leader
    • id94
    • nameLilach Felner
    • job_titleFounder & Managing Director
    • companyI Trust U
    • headshotLilach_140x140.jpg
    • company_logoItrustulogo-140x60.jpg
    • bio_full<p>Lilach Felner is a marketing consultant and lecturer specializing in building customer trust. She helps companies and brands become trustworthy by injecting trust into their businesses.</p> <p>As a marketer of multinational consumer brands for over 15 years, Lilach has experienced first-hand the tsunami of consumer militancy towards companies and brands, social media escalation and the dramatic transition of power to consumers. </p> <p>Felner founded I Trust U based on her development of the Trustworthy Marketing Approach. This approach helps organizations and brands become more worthy of their customers’ trust in the age of open social communication.</p> <p>The Trustworthy Marketing Approach model was published in the new book Trust Inc.: Strategies for Building Your Company's Most Valuable Asset. This book was edited by Barbara Brooks Kimmel, the founder of the Trust across America, Trust around the World Organization.</p> <p>She is a member of the Conscious Capitalism organization and a supporter of the movement.</p> <p>You can find Lilach Felner in: http://itrustu.biz/</p>
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    • created2014-09-03 09:45:07
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    • Article
      • id1365
      • date2023-01-04
      • titleIs Your Company Mistaking Technology For Digital Transformation?
      • author(null)
      • publisherForbes
      • description(null)
      • urlhttps://www.forbes.com/sites/sap/2023/01/24/is-your-company-mistaking-technology-for-digital-transformation/?sh=4eb4bfa771e9
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      • created2023-06-06 23:19:46
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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
      • program_only(false)
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      • created2020-08-12 17:48:21
      • modified2020-08-12 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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    • Article
      • id1359
      • date2020-07-22
      • titleHybrid Cloud Security: Benefits and Challenges
      • author
      • publisherBusiness2Community
      • description
      • urlhttps://www.business2community.com/cloud-computing/hybrid-cloud-security-benefits-and-challenges-02329045
      • program_only(false)
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      • created2020-08-12 17:47:17
      • modified2020-08-12 17:47:17
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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
      • 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
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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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  • 5
    • Article
      • 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. 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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      • 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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      • description<p>An <a href="http://reinventdatacenters.com/advocacy/report">in-depth, global report</a> from the <a href="http://bpinetwork.org/">BPI Network</a> explains how this major shift is already changing the nature of IT, enhancing security and increasing reliability for many companies – and why those who wait will be left behind. Join BPI Editorial Director <strong>Tom Murphy</strong> and <strong>Richard Garratt</strong>, director of data center solutions at Dimension Data, in an important <a href="https://www.apqc.org/knowledge-base/documents/using-data-center-drive-innovation">APQC podcast</a> as they analyze the cause and explore how this transformation will improve the quality of services to consumers while positioning businesses to grow with far greater cost-efficiencies.  </p>
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      • description<p>Today’s senior FP&A executives are facing a critical need to provide a more responsive, flexible and continuous planning, budgeting and forecasting process that will allow them to adapt to changing market conditions and opportunities, which will enable their financial planning to become more relevant and valuable to business outcomes. In this thought leadership webinar we will look at the organizational roadblocks and challenges that are keeping the financial planning function from delivering greater business and decision-making value across the organization and hear from leading executives on how to implement new thinking and processes.</p>
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        • summary<p>Through the “Predictability Through Planning Agility” program, the Business Performance Innovation Network will investigate how organizations can make financial processes more relevant in driving organizational excellence, efficiency and decision dexterity, while improving forecasting and budgeting accuracy.  </p>
        • description<p>Improving the accuracy, value and efficiency of financial planning, forecasting and budgeting should be an important goal for any organization.  Research shows companies that are adept in these processes outperform their competition. Yet financial processes and systems frequently lack the agility and responsiveness to keep pace with changing business needs and developments.  Budgeting is often excessively time-consuming and arduous, while the final product is typically out-of-date on arrival.  Financial planning processes should, but often do not, motivate and drive organizational performance. There is a real need for greater timeliness and frequency in budgeting and forecasting with new systems and processes that can improve planning flexibility, speed, and accuracy. Companies need to determine how they can increase collaboration and the value of financial planning across the entire organization.</p> <p><a title="Download Report Now" href="../../../thought-leadership/studies/49/download-report-predictability-through-planning-agility">Download Report Now »</a></p> <p>Through the “Predictability Through Planning Agility” program, the Business Performance Innovation Network will investigate how organizations can make financial processes more relevant in driving organizational excellence, efficiency and decision dexterity, while improving forecasting and budgeting accuracy.  The program will look at the value and limitations of corporate financial forecasting and budgeting processes and discuss the right practices and approaches for improving the performance management aspects of financial processes.  </p>
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Redirect Redirect Script Uri	https://bpinetwork.org/innovator_profiles/view/16
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	5
Redirect Redirect H2 Stream Tag	20155-50-5
Redirect Redirect Status	200
Redirect Unique Id	aBAC8CD9uAFvqMF0oXUxWAAAFwY
Redirect Script Url	/innovator_profiles/view/16
Redirect Script Uri	https://bpinetwork.org/innovator_profiles/view/16
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	5
Redirect H2 Stream Tag	20155-50-5
Redirect Status	200
Unique Id	aBAC8CD9uAFvqMF0oXUxWAAAFwY
Script Url	/innovator_profiles/view/16
Script Uri	https://bpinetwork.org/innovator_profiles/view/16
Https	on
Ssl Tls Sni	bpinetwork.org
Http2	on
H2push	off
H2 Push	off
H2 Pushed
H2 Pushed On
H2 Stream Id	5
H2 Stream Tag	20155-50-5
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	3.132.213.245
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	8474
Redirect Url	/app/webroot/innovator_profiles/view/16
Gateway Interface	CGI/1.1
Server Protocol	HTTP/2.0
Request Method	GET
Query String
Request Uri	/innovator_profiles/view/16
Script Name	/app/webroot/index.php
Php Self	/app/webroot/index.php
Request Time Float	1745879792.8785
Request Time	1745879792
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