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    • summary_bioSchell is a Member of the Board of Directors of the German speaking SAP user group (DSAG), specializing in business processes and digital transformation. Beside this, he also runs the bi-yearly Globalization Symposium for international user communities.
    • answer_1<p>Others try to be on the political side; some try to be advisors, but what we really offer is the practice. What we can deliver on is the knowledge and experience of 3000 company members – both large and also midsized.</p> <p>We ask – are you prepared for 24/7? Are you prepared for changing from products to services? Are you really cyber-ready? I am talking a lot about IoT – we need to change in terms of its promise. How do we motivate this group of people who are doing IT business processes to adopt new business models to reflect these capabilities?</p> <p>Many leading companies are evaluating the importance of digitization, and new business models, and I see a responsibility with vendors such as SAP to inform and accompany them in their transition to a digital future. I want to ensure people are aware of what they need to think about – to get from digital to practice. We don’t know everything, but we do know there will be huge change. Companies will really be out of the game if they don’t change their business models. There are companies which do sensoric very well, but they don’t understand the business models, and there are those with good business models, but no clue about sensoric. We must bring those together.</p> <p>Business model development and innovation needs to have an iterative approach, not a sequential process. I think IoT will change asset-rich industries in a positive way – you’ll know the usage and change in your assets. You can add sensoric to 10 year-old assets and derive a longer lifecycle. The question is how you change your business model around it.</p> <p>In terms of the mix of skills sets companies will need, what we see going on in the European ecosystem, for example – universities; schools – is that there is a lot of momentum to embrace a positive attitude about change. The question is only how far to take this attack mode. It is difficult to understand what’s going on regarding China and India – they are so huge. Everyone in the west knew Amazon; not many knew Alibaba, and yet Alibaba is much bigger than Amazon ever will get.</p> <p>In Germany and Switzerland, and really Europe in general, there is nothing we can do anymore in terms of extracting materials from the ground. All we can provide is knowledge. In recent decades, our exports have been dominated by engineering; by producing the best machines. But knowledge is the future. Nevertheless, too many executives tend not to take the opportunity, and wait for others, which is a pitfall. More acting than (worrying) is the right thing to do.</p> <p>Some organizations still believe they can run with isolated strategies – with marketing/sales and production/purchasing in isolation. I firmly believe you can no longer do this alone. Companies need to have a clear glide path of where they want to go; they need clear buy-in that transformation is both top-down and bottom-up. What I think companies normally don’t do, and what they should do, is to really attack markets. Uber attacked.  Do you really believe that if Uber had entered the market in the normal, slow way, analyzing and checking everything – they would have succeeded?  They did not wait. Many other companies should also move away from a risk-awareness position to attack mode.</p> <p>They need to ask: How can I attack other areas where I am strong? Many companies believe they are world-leading, and then some company in China, or Korea, or India has already overhauled them from an income perspective.</p> <p>Executives must ask: are we ready for the shared economy? Are we truly cyber-ready? A lot of people talk about data analysis and big data, but at the end of the day its not about the big data – its about finding a pattern from the data which creates a new business model.</p> <p>Too often, this is not what companies do. We analyze to death; we prepare for a presentation, and we wait for someone to make a decision. And when the CEO makes the decision, they are not ready for that decision because they are too large. The way of working together needs to change.</p>
    • answer_2<p>Companies need to move away from risk aversion and towards attacking markets. Also, companies need to involve the youth and their perspectives into the discussion. There are cultural barriers. We cannot truly go into the digital world in healthcare – which I would like, certainly – if we don’t change the rules of engagement. We will never get 100% security, but we never had 100% security anyway.</p> <p>I see that some people are overloaded with what’s going on – take the most talented marketing people: they need to understand that CRM will completely change everything in that field. So it is most important that people stay open.</p> <p>Will people lose their jobs? Maybe – but there will also be new jobs, and there will be a bridge between old skills sets and the new skill sets.</p>
    • answer_3<p>Within our organization, the culture of innovation runs very deep – because we have been doing this for the past 30 years; we do business processes; we do transition management. This is our advantage – we are practiced at this.</p> <p>There is real excitement about how we can use assets in a different way. There is a passion about the business value being brought by digitalized business models. About smart cities and automated driving, and many others.</p> <p>Open minds are the key. Imagine you are at door of a supermarket: it will already recover your data from your smartphone, knowing your behavior and your previous buying patterns – and you will be guided. This will happen much faster than we expect – and the next generation already expects it, and does not fear these kinds of changes.</p> <p>When we order from Amazon – do we wonder about security and reliability?  No, we already know they are reliable. So trust in new technologies does not take decades, or even years.</p>
    • answer_4<p>Real Time. It will be a real-time world. You will get information in real time and make decisions in real time, because you have the capabilities and skills, and because consumers will expect it. You will be in front of a shop and they will know what you want.</p> <p>Business models will change – often, toward technology-enabled services. We had analytics before – just not this quickly. Now you have all this discussion about data, but what about business models? That is the next discussion.</p>
    • answer_5<p>What I find really cool is the potential in healthcare devices to actually do what we saw in Star Trek in the ‘70s. Remember that noise – <em>doo-da-doo</em> – when they would go over someone’s body with a handheld device to detect a defect? I think its great that that will happen. When I go to a doctor, I don’t want to answer questions about my age; what I’ve been eating and how much I have been exercising – I want them to know that already.</p> <p>As a consumer, I love to be recognized. I don’t worry about old notions of privacy, when there are such amazing benefits.</p>
    • leader_id181
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  • Leader
    • id181
    • nameOtto Schell
    • job_titleMember of the Board of Directors
    • companyDSAG
    • headshotOtto(140x140).jpg
    • company_logoDSAG (140x60).png
    • bio_full<p>Otto Schell is helping to redefine the true meaning of agility and speed for executives, based on his observation that “the world is no longer a globe; it is flat – with IoT you can see everyone, everywhere. Information is everywhere – agility is our new challenge.” Arguing that there will often be too little time even for data analysis and innovation measurement, the German thought leader advocates for “real-time, all the time” business agility – and that, increasingly, companies need to attack markets.</p> <p>Schell is a Member of the Board of Directors of the German speaking SAP user group (DSAG), specializing in business processes and digital transformation. Beside this, he also runs the bi-yearly Globalization Symposium for international user communities. The leading advocacy group for optimized SAP solutions globally, DSAG represents more than 3,000 large and mid-size companies, and 55,000 individuals. Schell is also chair of international relations for the UN-accredited Diplomatic Council, where he helps define the meaning of technological and market changes from a cultural perspective, between states and nations.</p> <p>In a major recent presentation on “The skillset of tomorrow,” he plots the business value path on X and Y-axes defined by Agility and Relevance. Schell states that merely 'in time' will need to become 'real-time', and that business agility will require 'on demand' models. Centrally, he challenges fears of change – and points out that any early fears of reliability behind services like Amazon and Uber were quickly extinguished. He states that “Digital transformation and IoT acceleration require speed while retaining trust.”</p> <p>Schell describes the benefits of “Automation through sensoric networks – and digitalization of business models,” but warns that it is a “one-time opportunity for all of us; if you try to measure, you are too late!” Pointing out that the current generation of business readers represent the "roll-out model” of the new digital economy, this keynote thinker is helping companies understand the fundamentally different expectations held by Generation Y, and of Millennials – where even a desire to own products cannot be assumed.</p> <p>His team is unearthing the ongoing value of whole species of underused physical assets, by revealing how smart and integrated sensors can be harnessed to optimize their use, maintenance and performance. Above all, Schell argues for the leveraging of new technologies to adopt new business models – typically, away from the sale of products and toward real-time services, noting that “Different players or a disruptive play is the task I’m giving (executives) to think about.”</p> <p>In an interview with BPI, he cited the TotalCare business model innovation at power systems company Rolls Royce as a prime example of the needed change – where that company no longer sells engines and, later, spare parts, but rather provides customers with power by the hour, enabled by sensoric maintenance.</p> <p>“Does Rolls Royce sell their turbines or do they sell the service of the turbines? They sell the service. They no longer go to an aircraft maker and say, here’s a turbine. They say – we will monitor our turbines 24/7, and intervene before something happens. It’s a complete different business model, which would not have been possible without the new technology.</p> <p>“There is a general pattern toward service which companies need to think about. There is an Italian railway company which repairs its equipment on the fly – no longer does the train need to go to the station every 2 months and sit for three weeks. The idea is optimal asset life cycle usage – and that has urgent implications for business models.”</p>
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    • created2016-06-22 09:58:22
    • modified2017-04-20 16:39:34
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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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    • Article
      • id1361
      • date2020-08-10
      • titleA Cornucopia Of Cloud Storage Solutions
      • author
      • publisherForbes
      • description
      • urlhttps://www.forbes.com/sites/tomcoughlin/2020/08/10/a-cornucopia-of-cloud-storage-solutions/#66c77bb76938
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      • created2020-08-12 17:48:21
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    • Program
      • 0
        • id31
        • titleBringing Simplicity To Multi-Cloud Complexity
        • subtitleAdvancing Data Connectivity, Logistics and Value
        • summaryThis initiative aims to explore the forces, factors, challenges and requirements driving the need for improved data logistics in today’s multi-cloud world.
        • description<p><strong>Overview</strong></p> <p>The Business Performance Innovation (BPI) Network, in partnership with DBM Cloud Systems and the CMO Council, is undertaking research into the forces, factors, challenges and requirements driving the need for improved data logistics in today’s multi-cloud world. Global enterprises are seeking to integrate vast repositories of data across multiple public and private clouds and on-premise systems to extract more value, use and return on these assets. In particular, this relates to decision-support analytics, product and service delivery, customer intelligence and personalized engagement, operational improvement, business compliance, and continuity.</p> <p>While multi-cloud and hybrid cloud environments provide major advantages, they also increase the complexity of managing, translating, processing and moving data. Chief Data Officers, infrastructure IT executives and others in the enterprise are now seeking new and innovative ways to gain greater control, visibility, performance and efficiency in the way they manage data to optimize its value.</p> <p>The program will engage data and IT executives from major companies, as well as leading system integrators, consulting firms and solution providers to understand needs, requirements and best practices in optimizing data economics, protection and logistics in today’s multi-cloud, mega-data world.</p> <p><strong> </strong></p> <p><strong>Background</strong></p> <p>The growing importance of the Chief Data Officer underscores widespread recognition of the essential role and value of data and analytics in the modern, agile customer-centric enterprise. This is further compounded by the significant cost, challenge and complexity of unifying, migrating, replicating, protecting, storing and governing data “ponds, lakes and dams” in today’s multi-cloud and hybrid cloud computing environments.</p> <p>Data has become one of the chief engines of value creation. Its role in improving analytical decision making, enhancing our ability to understand, reach and engage customers, and increasing the value of both existing and new products and services has made data a highly valued currency and asset base for enterprises operating digitally across data borders, ramparts and fences.</p> <p>Fueled by an explosive proliferation of new data sources—from mobile computing, social media and rich media applications and services, to the advent of the Internet of Things, which will generate some 50 million connected sensors by the end of 2020—the amount and variety of data being stored is growing exponentially.  According Seagate Technology, the amount of data generated worldwide will increase to 163 zettabytes by 2025 from 12 zettabytes in 2015.</p> <p>In today’s multi-cloud, mega-data world, better Data Logistics and Performance Management (DLPM) has become essential to competing in the Data Economy. According to 451 Research, some 80 percent of companies are now utilizing two or more clouds. Three-quarters of companies say they are pursuing a hybrid/multi-cloud strategy.</p> <p>In this highly distributed compute environment, the requirements to understand where data resides across multiple public clouds and on-premise systems and cost-effectively store, protect and move data to its optimal location becomes critical. With the coming rise of edge computing and micro-data centers designed to bring data and applications closer to users to reduce latency and thereby improve application and workload performance, data management and logistics become even more complex. The edge is creating even more data, with increased data volumes having to be transmitted across networks and between clouds.</p> <p>Object-based data storage is now the dominant storage architecture globally, particularly in the cloud, and will be used to store 85 percent of the world’s data by 2025. Developed initially to handle the explosive growth of unstructured data, such as video, images, web pages, log files and IoT data, object storage saves data along with associated metadata in blocks as objects that can contain multiple information formats.</p> <p>It has a variety of advantages over file and block storage, including massive scalability, greater flexibility via metadata for analytics, better governance, faster retrieval, and improved cost efficiencies. In addition, continued technical advances are improving both the performance and the applicability of object storage for new use cases. A major challenge, however, is that the object-based storage systems used my various cloud providers are all different, making data synchronization and translation a challenge.</p> <p> </p> <p><strong>The Data Logistics Mandate</strong></p> <p>In this new world, Chief Data Officers and CIOs must optimize how they manage vast volumes of data across multiple clouds and data environments through better data logistics. There are more data silos, greater distribution of data, vast increases in volume, and a growing demand to understand, protect and exploit data for business growth and optimization while holding down costs.</p> <p>Among those logistical challenges are the need to keep track of where data resides, and cost-effectively synchronize, replicate and move data to optimize value, efficiency, security and governance based on cost differences, processing and analytics capabilities, performance advantages, and regulatory requirements.</p> <p>Organizations need to be able to be able to identify what data needs to be replicated and effectively transmitted and synchronized across different clouds and on-premise locations to improve the availability, security and value of data.</p> <p>For example, organizations increasingly need to move data to specific service providers to conduct analytics or take advantage of specific vendor technologies, lower processing and storage costs, or meet geographic requirements. Particularly when data replication and synchronization is a continuous activity, organizations need to automate this process based on established rules and policies to improve cost efficiency, eliminate errors and reduce management complexity.</p> <p>For object storage data, the capacity to fully utilize metadata to identify location, type and value is now a critical aspect of data logistics, as is the ability to transfer data with a minimum amount of performance degradation and data corruption. New solutions that can handle replication outside of the data path are delivering improved visibility, performance and data quality.</p> <p>Advancing data logistics is a major imperative for today’s data-driven organizations and their chief data officers. The mandate to improve data availability, performance, value and cost-efficiency will be a critical competitive differentiator in a multi-cloud, mega-data world.<br /><br /><strong>To get involved in this initiative, please reach out to <a href="mailto:dmurray@bpinetwork.org">Dave Murray</a>. </strong></p>
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      • date2020-07-22
      • titleHybrid Cloud Security: Benefits and Challenges
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      • publisherBusiness2Community
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      • urlhttps://www.business2community.com/cloud-computing/hybrid-cloud-security-benefits-and-challenges-02329045
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      • created2020-08-12 17:47:17
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    • Program
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        • id31
        • titleBringing Simplicity To Multi-Cloud Complexity
        • subtitleAdvancing Data Connectivity, Logistics and Value
        • summaryThis initiative aims to explore the forces, factors, challenges and requirements driving the need for improved data logistics in today’s multi-cloud world.
        • description<p><strong>Overview</strong></p> <p>The Business Performance Innovation (BPI) Network, in partnership with DBM Cloud Systems and the CMO Council, is undertaking research into the forces, factors, challenges and requirements driving the need for improved data logistics in today’s multi-cloud world. Global enterprises are seeking to integrate vast repositories of data across multiple public and private clouds and on-premise systems to extract more value, use and return on these assets. In particular, this relates to decision-support analytics, product and service delivery, customer intelligence and personalized engagement, operational improvement, business compliance, and continuity.</p> <p>While multi-cloud and hybrid cloud environments provide major advantages, they also increase the complexity of managing, translating, processing and moving data. Chief Data Officers, infrastructure IT executives and others in the enterprise are now seeking new and innovative ways to gain greater control, visibility, performance and efficiency in the way they manage data to optimize its value.</p> <p>The program will engage data and IT executives from major companies, as well as leading system integrators, consulting firms and solution providers to understand needs, requirements and best practices in optimizing data economics, protection and logistics in today’s multi-cloud, mega-data world.</p> <p><strong> </strong></p> <p><strong>Background</strong></p> <p>The growing importance of the Chief Data Officer underscores widespread recognition of the essential role and value of data and analytics in the modern, agile customer-centric enterprise. This is further compounded by the significant cost, challenge and complexity of unifying, migrating, replicating, protecting, storing and governing data “ponds, lakes and dams” in today’s multi-cloud and hybrid cloud computing environments.</p> <p>Data has become one of the chief engines of value creation. Its role in improving analytical decision making, enhancing our ability to understand, reach and engage customers, and increasing the value of both existing and new products and services has made data a highly valued currency and asset base for enterprises operating digitally across data borders, ramparts and fences.</p> <p>Fueled by an explosive proliferation of new data sources—from mobile computing, social media and rich media applications and services, to the advent of the Internet of Things, which will generate some 50 million connected sensors by the end of 2020—the amount and variety of data being stored is growing exponentially.  According Seagate Technology, the amount of data generated worldwide will increase to 163 zettabytes by 2025 from 12 zettabytes in 2015.</p> <p>In today’s multi-cloud, mega-data world, better Data Logistics and Performance Management (DLPM) has become essential to competing in the Data Economy. According to 451 Research, some 80 percent of companies are now utilizing two or more clouds. Three-quarters of companies say they are pursuing a hybrid/multi-cloud strategy.</p> <p>In this highly distributed compute environment, the requirements to understand where data resides across multiple public clouds and on-premise systems and cost-effectively store, protect and move data to its optimal location becomes critical. With the coming rise of edge computing and micro-data centers designed to bring data and applications closer to users to reduce latency and thereby improve application and workload performance, data management and logistics become even more complex. The edge is creating even more data, with increased data volumes having to be transmitted across networks and between clouds.</p> <p>Object-based data storage is now the dominant storage architecture globally, particularly in the cloud, and will be used to store 85 percent of the world’s data by 2025. Developed initially to handle the explosive growth of unstructured data, such as video, images, web pages, log files and IoT data, object storage saves data along with associated metadata in blocks as objects that can contain multiple information formats.</p> <p>It has a variety of advantages over file and block storage, including massive scalability, greater flexibility via metadata for analytics, better governance, faster retrieval, and improved cost efficiencies. In addition, continued technical advances are improving both the performance and the applicability of object storage for new use cases. A major challenge, however, is that the object-based storage systems used my various cloud providers are all different, making data synchronization and translation a challenge.</p> <p> </p> <p><strong>The Data Logistics Mandate</strong></p> <p>In this new world, Chief Data Officers and CIOs must optimize how they manage vast volumes of data across multiple clouds and data environments through better data logistics. There are more data silos, greater distribution of data, vast increases in volume, and a growing demand to understand, protect and exploit data for business growth and optimization while holding down costs.</p> <p>Among those logistical challenges are the need to keep track of where data resides, and cost-effectively synchronize, replicate and move data to optimize value, efficiency, security and governance based on cost differences, processing and analytics capabilities, performance advantages, and regulatory requirements.</p> <p>Organizations need to be able to be able to identify what data needs to be replicated and effectively transmitted and synchronized across different clouds and on-premise locations to improve the availability, security and value of data.</p> <p>For example, organizations increasingly need to move data to specific service providers to conduct analytics or take advantage of specific vendor technologies, lower processing and storage costs, or meet geographic requirements. Particularly when data replication and synchronization is a continuous activity, organizations need to automate this process based on established rules and policies to improve cost efficiency, eliminate errors and reduce management complexity.</p> <p>For object storage data, the capacity to fully utilize metadata to identify location, type and value is now a critical aspect of data logistics, as is the ability to transfer data with a minimum amount of performance degradation and data corruption. New solutions that can handle replication outside of the data path are delivering improved visibility, performance and data quality.</p> <p>Advancing data logistics is a major imperative for today’s data-driven organizations and their chief data officers. The mandate to improve data availability, performance, value and cost-efficiency will be a critical competitive differentiator in a multi-cloud, mega-data world.<br /><br /><strong>To get involved in this initiative, please reach out to <a href="mailto:dmurray@bpinetwork.org">Dave Murray</a>. </strong></p>
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      • id1360
      • date2020-07-22
      • titleIt’s Time To Rethink How To Get More From Your Data
      • author
      • publisherForbes
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      • urlhttps://www.forbes.com/sites/forbestechcouncil/2020/07/22/its-time-to-rethink-how-to-get-more-from-your-data/#3117717c6762
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        • id31
        • titleBringing Simplicity To Multi-Cloud Complexity
        • subtitleAdvancing Data Connectivity, Logistics and Value
        • summaryThis initiative aims to explore the forces, factors, challenges and requirements driving the need for improved data logistics in today’s multi-cloud world.
        • description<p><strong>Overview</strong></p> <p>The Business Performance Innovation (BPI) Network, in partnership with DBM Cloud Systems and the CMO Council, is undertaking research into the forces, factors, challenges and requirements driving the need for improved data logistics in today’s multi-cloud world. Global enterprises are seeking to integrate vast repositories of data across multiple public and private clouds and on-premise systems to extract more value, use and return on these assets. In particular, this relates to decision-support analytics, product and service delivery, customer intelligence and personalized engagement, operational improvement, business compliance, and continuity.</p> <p>While multi-cloud and hybrid cloud environments provide major advantages, they also increase the complexity of managing, translating, processing and moving data. Chief Data Officers, infrastructure IT executives and others in the enterprise are now seeking new and innovative ways to gain greater control, visibility, performance and efficiency in the way they manage data to optimize its value.</p> <p>The program will engage data and IT executives from major companies, as well as leading system integrators, consulting firms and solution providers to understand needs, requirements and best practices in optimizing data economics, protection and logistics in today’s multi-cloud, mega-data world.</p> <p><strong> </strong></p> <p><strong>Background</strong></p> <p>The growing importance of the Chief Data Officer underscores widespread recognition of the essential role and value of data and analytics in the modern, agile customer-centric enterprise. This is further compounded by the significant cost, challenge and complexity of unifying, migrating, replicating, protecting, storing and governing data “ponds, lakes and dams” in today’s multi-cloud and hybrid cloud computing environments.</p> <p>Data has become one of the chief engines of value creation. Its role in improving analytical decision making, enhancing our ability to understand, reach and engage customers, and increasing the value of both existing and new products and services has made data a highly valued currency and asset base for enterprises operating digitally across data borders, ramparts and fences.</p> <p>Fueled by an explosive proliferation of new data sources—from mobile computing, social media and rich media applications and services, to the advent of the Internet of Things, which will generate some 50 million connected sensors by the end of 2020—the amount and variety of data being stored is growing exponentially.  According Seagate Technology, the amount of data generated worldwide will increase to 163 zettabytes by 2025 from 12 zettabytes in 2015.</p> <p>In today’s multi-cloud, mega-data world, better Data Logistics and Performance Management (DLPM) has become essential to competing in the Data Economy. According to 451 Research, some 80 percent of companies are now utilizing two or more clouds. Three-quarters of companies say they are pursuing a hybrid/multi-cloud strategy.</p> <p>In this highly distributed compute environment, the requirements to understand where data resides across multiple public clouds and on-premise systems and cost-effectively store, protect and move data to its optimal location becomes critical. With the coming rise of edge computing and micro-data centers designed to bring data and applications closer to users to reduce latency and thereby improve application and workload performance, data management and logistics become even more complex. The edge is creating even more data, with increased data volumes having to be transmitted across networks and between clouds.</p> <p>Object-based data storage is now the dominant storage architecture globally, particularly in the cloud, and will be used to store 85 percent of the world’s data by 2025. Developed initially to handle the explosive growth of unstructured data, such as video, images, web pages, log files and IoT data, object storage saves data along with associated metadata in blocks as objects that can contain multiple information formats.</p> <p>It has a variety of advantages over file and block storage, including massive scalability, greater flexibility via metadata for analytics, better governance, faster retrieval, and improved cost efficiencies. In addition, continued technical advances are improving both the performance and the applicability of object storage for new use cases. A major challenge, however, is that the object-based storage systems used my various cloud providers are all different, making data synchronization and translation a challenge.</p> <p> </p> <p><strong>The Data Logistics Mandate</strong></p> <p>In this new world, Chief Data Officers and CIOs must optimize how they manage vast volumes of data across multiple clouds and data environments through better data logistics. There are more data silos, greater distribution of data, vast increases in volume, and a growing demand to understand, protect and exploit data for business growth and optimization while holding down costs.</p> <p>Among those logistical challenges are the need to keep track of where data resides, and cost-effectively synchronize, replicate and move data to optimize value, efficiency, security and governance based on cost differences, processing and analytics capabilities, performance advantages, and regulatory requirements.</p> <p>Organizations need to be able to be able to identify what data needs to be replicated and effectively transmitted and synchronized across different clouds and on-premise locations to improve the availability, security and value of data.</p> <p>For example, organizations increasingly need to move data to specific service providers to conduct analytics or take advantage of specific vendor technologies, lower processing and storage costs, or meet geographic requirements. Particularly when data replication and synchronization is a continuous activity, organizations need to automate this process based on established rules and policies to improve cost efficiency, eliminate errors and reduce management complexity.</p> <p>For object storage data, the capacity to fully utilize metadata to identify location, type and value is now a critical aspect of data logistics, as is the ability to transfer data with a minimum amount of performance degradation and data corruption. New solutions that can handle replication outside of the data path are delivering improved visibility, performance and data quality.</p> <p>Advancing data logistics is a major imperative for today’s data-driven organizations and their chief data officers. The mandate to improve data availability, performance, value and cost-efficiency will be a critical competitive differentiator in a multi-cloud, mega-data world.<br /><br /><strong>To get involved in this initiative, please reach out to <a href="mailto:dmurray@bpinetwork.org">Dave Murray</a>. </strong></p>
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      • date2020-07-21
      • title8 Innovation Trends Cultivating the 'Next Normal' Post COVID-19
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      • publisherBecker's Health IT
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      • urlhttps://www.beckershospitalreview.com/digital-transformation/providence-8-innovation-trends-cultivating-the-next-normal-post-covid-19.html
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      • id1363
      • date2020-07-21
      • titleThe power of emerging technologies: Finding value through data
      • author
      • publisherMckinsey Digital
      • description
      • urlhttps://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/tech-forward/the-power-of-emerging-technologies-finding-value-through-data
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        • id31
        • titleBringing Simplicity To Multi-Cloud Complexity
        • subtitleAdvancing Data Connectivity, Logistics and Value
        • summaryThis initiative aims to explore the forces, factors, challenges and requirements driving the need for improved data logistics in today’s multi-cloud world.
        • description<p><strong>Overview</strong></p> <p>The Business Performance Innovation (BPI) Network, in partnership with DBM Cloud Systems and the CMO Council, is undertaking research into the forces, factors, challenges and requirements driving the need for improved data logistics in today’s multi-cloud world. Global enterprises are seeking to integrate vast repositories of data across multiple public and private clouds and on-premise systems to extract more value, use and return on these assets. In particular, this relates to decision-support analytics, product and service delivery, customer intelligence and personalized engagement, operational improvement, business compliance, and continuity.</p> <p>While multi-cloud and hybrid cloud environments provide major advantages, they also increase the complexity of managing, translating, processing and moving data. Chief Data Officers, infrastructure IT executives and others in the enterprise are now seeking new and innovative ways to gain greater control, visibility, performance and efficiency in the way they manage data to optimize its value.</p> <p>The program will engage data and IT executives from major companies, as well as leading system integrators, consulting firms and solution providers to understand needs, requirements and best practices in optimizing data economics, protection and logistics in today’s multi-cloud, mega-data world.</p> <p><strong> </strong></p> <p><strong>Background</strong></p> <p>The growing importance of the Chief Data Officer underscores widespread recognition of the essential role and value of data and analytics in the modern, agile customer-centric enterprise. This is further compounded by the significant cost, challenge and complexity of unifying, migrating, replicating, protecting, storing and governing data “ponds, lakes and dams” in today’s multi-cloud and hybrid cloud computing environments.</p> <p>Data has become one of the chief engines of value creation. Its role in improving analytical decision making, enhancing our ability to understand, reach and engage customers, and increasing the value of both existing and new products and services has made data a highly valued currency and asset base for enterprises operating digitally across data borders, ramparts and fences.</p> <p>Fueled by an explosive proliferation of new data sources—from mobile computing, social media and rich media applications and services, to the advent of the Internet of Things, which will generate some 50 million connected sensors by the end of 2020—the amount and variety of data being stored is growing exponentially.  According Seagate Technology, the amount of data generated worldwide will increase to 163 zettabytes by 2025 from 12 zettabytes in 2015.</p> <p>In today’s multi-cloud, mega-data world, better Data Logistics and Performance Management (DLPM) has become essential to competing in the Data Economy. According to 451 Research, some 80 percent of companies are now utilizing two or more clouds. Three-quarters of companies say they are pursuing a hybrid/multi-cloud strategy.</p> <p>In this highly distributed compute environment, the requirements to understand where data resides across multiple public clouds and on-premise systems and cost-effectively store, protect and move data to its optimal location becomes critical. With the coming rise of edge computing and micro-data centers designed to bring data and applications closer to users to reduce latency and thereby improve application and workload performance, data management and logistics become even more complex. The edge is creating even more data, with increased data volumes having to be transmitted across networks and between clouds.</p> <p>Object-based data storage is now the dominant storage architecture globally, particularly in the cloud, and will be used to store 85 percent of the world’s data by 2025. Developed initially to handle the explosive growth of unstructured data, such as video, images, web pages, log files and IoT data, object storage saves data along with associated metadata in blocks as objects that can contain multiple information formats.</p> <p>It has a variety of advantages over file and block storage, including massive scalability, greater flexibility via metadata for analytics, better governance, faster retrieval, and improved cost efficiencies. In addition, continued technical advances are improving both the performance and the applicability of object storage for new use cases. A major challenge, however, is that the object-based storage systems used my various cloud providers are all different, making data synchronization and translation a challenge.</p> <p> </p> <p><strong>The Data Logistics Mandate</strong></p> <p>In this new world, Chief Data Officers and CIOs must optimize how they manage vast volumes of data across multiple clouds and data environments through better data logistics. There are more data silos, greater distribution of data, vast increases in volume, and a growing demand to understand, protect and exploit data for business growth and optimization while holding down costs.</p> <p>Among those logistical challenges are the need to keep track of where data resides, and cost-effectively synchronize, replicate and move data to optimize value, efficiency, security and governance based on cost differences, processing and analytics capabilities, performance advantages, and regulatory requirements.</p> <p>Organizations need to be able to be able to identify what data needs to be replicated and effectively transmitted and synchronized across different clouds and on-premise locations to improve the availability, security and value of data.</p> <p>For example, organizations increasingly need to move data to specific service providers to conduct analytics or take advantage of specific vendor technologies, lower processing and storage costs, or meet geographic requirements. Particularly when data replication and synchronization is a continuous activity, organizations need to automate this process based on established rules and policies to improve cost efficiency, eliminate errors and reduce management complexity.</p> <p>For object storage data, the capacity to fully utilize metadata to identify location, type and value is now a critical aspect of data logistics, as is the ability to transfer data with a minimum amount of performance degradation and data corruption. New solutions that can handle replication outside of the data path are delivering improved visibility, performance and data quality.</p> <p>Advancing data logistics is a major imperative for today’s data-driven organizations and their chief data officers. The mandate to improve data availability, performance, value and cost-efficiency will be a critical competitive differentiator in a multi-cloud, mega-data world.<br /><br /><strong>To get involved in this initiative, please reach out to <a href="mailto:dmurray@bpinetwork.org">Dave Murray</a>. </strong></p>
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      • titleFirst Petroleum Business Network Launches In Lebanon
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      • descriptionThis exclusive Transform to Better Perform CIO Roundtable has been organized by the Business Performance Innovation (BPI) Network to generate fresh thinking and best practice ideas around an emerging, new scorecard for IT. Being held in conjunction with DatacenterDynamics’ Internet Event at the San Francisco Marriot Marquis, the noon roundtable will bring together a small group of top executives to discuss the new demands and requirements on IT to advance competitive differentiation, build business value and engage customer markets.  The discussion will draw on new BPI Network research and provide ideas and content for a new global report. Participating IT executives are also invited to attend the DatacenterDynamics conference as VIP guests if they choose. To enroll, email Sally: <a href="mailto:squigley@bpinetwork.org">squigley@bpinetwork.org</a>.
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      • 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>
      • urlhttp://www.bpinetwork.org/keeping-business-in-balance-webcast
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        • id8
        • titlePredictability Through Planning Agility
        • subtitleBest Practices in Collaborative Budgeting and Continuous Business Rebalancing
        • summary<p>Through the “Predictability Through Planning Agility” program, the Business Performance Innovation Network will investigate how organizations can make financial processes more relevant in driving organizational excellence, efficiency and decision dexterity, while improving forecasting and budgeting accuracy.  </p>
        • description<p>Improving the accuracy, value and efficiency of financial planning, forecasting and budgeting should be an important goal for any organization.  Research shows companies that are adept in these processes outperform their competition. Yet financial processes and systems frequently lack the agility and responsiveness to keep pace with changing business needs and developments.  Budgeting is often excessively time-consuming and arduous, while the final product is typically out-of-date on arrival.  Financial planning processes should, but often do not, motivate and drive organizational performance. There is a real need for greater timeliness and frequency in budgeting and forecasting with new systems and processes that can improve planning flexibility, speed, and accuracy. Companies need to determine how they can increase collaboration and the value of financial planning across the entire organization.</p> <p><a title="Download Report Now" href="../../../thought-leadership/studies/49/download-report-predictability-through-planning-agility">Download Report Now »</a></p> <p>Through the “Predictability Through Planning Agility” program, the Business Performance Innovation Network will investigate how organizations can make financial processes more relevant in driving organizational excellence, efficiency and decision dexterity, while improving forecasting and budgeting accuracy.  The program will look at the value and limitations of corporate financial forecasting and budgeting processes and discuss the right practices and approaches for improving the performance management aspects of financial processes.  </p>
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      • authorBPI
      • body<p>In today’s environment of accelerated business cycles, non-traditional global competitiveness and financial accountability, making good decisions is one of the most important functions of a business. However, decision making may be one of the least understood or defined processes within the organization. Executive decisions have become more costly and complex, and yet are critical to a company’s success.</p>
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        • titleBusiness Volatility & Variables
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        • summary<p>Adaptive Planning and The BPI Network bring you a quarterly pulse of financial professionals on current economic conditions, the impact on corporate performance and plans, and the effectiveness of financial management practices in uncertain times.</p>
        • description<p>Adaptive Planning and The BPI Network bring you a quarterly pulse of financial professionals on current economic conditions, the impact on corporate performance and plans, and the effectiveness of financial management practices in uncertain times.</p>
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        • modified2014-07-29 17:00:40
        • modifier135
        • ProgramsReport
          • id5
          • report_id5
          • program_id5
    • Tag(empty)
    • MediaCoverage(empty)
    • Brainwafe(empty)
• isAuthenticated(null)
• signedin_user(null)
• signedin_user_id(null)
• signedin_user_email(null)
• answerEncryptedIS5gYGAKYAo=
• questionEncryptedPzImXVcoJlVBO0dEQDsmNVQ9JjVSPFIhSTtCYEI7Rl1NOjZZQT0mNEIvUGBgCmAK
• pageTitleBusiness Performance & Innovation (BPI) Network
• $request->data(empty)
• $this->validationErrors
  • Menu(empty)
  • User(empty)
  • Article(empty)
  • Event(empty)
  • Report(empty)
  • Leader(empty)
  • Program(empty)
  • ArticlesProgram(empty)
  • ArticlesLeader(empty)
  • Tag(empty)
  • ArticlesTag(empty)
  • Brainwafe(empty)
  • BrainwavesEvent(empty)
  • EventsProgram(empty)
  • Tracking(empty)
  • Download(empty)
  • ProgramsReport(empty)
  • ReportsTag(empty)
  • MediaCoverage(empty)
  • MediaCoverageReport(empty)
  • BrainwavesReport(empty)
  • InnovatorProfile(empty)
• Loaded Helpers
  • 0Minify
  • 1Number
  • 2SimpleGraph
  • 3DebugTimer
  • 4Toolbar
  • 5Html
  • 6Form
  • 7Session
  • 8HtmlToolbar

App Constants

No application environment available.

CakePHP Constants

Constant	Value
APP	/home/bpinorg/public_html/app/
APP_DIR	app
APPLIBS	/home/bpinorg/public_html/app/Lib/
CACHE	/home/bpinorg/public_html/app/tmp/cache/
CAKE	/home/bpinorg/public_html/lib/Cake/
CAKE_CORE_INCLUDE_PATH	/home/bpinorg/public_html/lib
CORE_PATH	/home/bpinorg/public_html/lib/
CAKE_VERSION	2.3.8
CSS	/home/bpinorg/public_html/app/webroot/css/
CSS_URL	css/
DS	/
FULL_BASE_URL	https://bpinetwork.org
IMAGES	/home/bpinorg/public_html/app/webroot/img/
IMAGES_URL	img/
JS	/home/bpinorg/public_html/app/webroot/js/
JS_URL	js/
LOGS	/home/bpinorg/public_html/app/tmp/logs/
ROOT	/home/bpinorg/public_html
TESTS	/home/bpinorg/public_html/app/Test/
TMP	/home/bpinorg/public_html/app/tmp/
VENDORS	/home/bpinorg/public_html/vendors/
WEBROOT_DIR	webroot
WWW_ROOT	/home/bpinorg/public_html/app/webroot/

PHP Environment

Environment Variable	Value
Php Version	5.6.40
User	bpinorg
Home	/home/bpinorg
Fcgi Role	RESPONDER
Redirect Redirect Unique Id	aBA7uwC0BTER2MJyBRLD7gABRwk
Redirect Redirect Script Url	/innovator_profiles/view/40
Redirect Redirect Script Uri	https://bpinetwork.org/innovator_profiles/view/40
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	1
Redirect Redirect H2 Stream Tag	9291-45-1
Redirect Redirect Status	200
Redirect Unique Id	aBA7uwC0BTER2MJyBRLD7gABRwk
Redirect Script Url	/innovator_profiles/view/40
Redirect Script Uri	https://bpinetwork.org/innovator_profiles/view/40
Redirect Https	on
Redirect Ssl Tls Sni	bpinetwork.org
Redirect Http2	on
Redirect H2push	off
Redirect H2 Push	off
Redirect H2 Pushed
Redirect H2 Pushed On
Redirect H2 Stream Id	1
Redirect H2 Stream Tag	9291-45-1
Redirect Status	200
Unique Id	aBA7uwC0BTER2MJyBRLD7gABRwk
Script Url	/innovator_profiles/view/40
Script Uri	https://bpinetwork.org/innovator_profiles/view/40
Https	on
Ssl Tls Sni	bpinetwork.org
Http2	on
H2push	off
H2 Push	off
H2 Pushed
H2 Pushed On
H2 Stream Id	1
H2 Stream Tag	9291-45-1
Proxy-nokeepalive	1
Http Accept	*/*
Http User Agent	Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)
Http Accept Encoding	gzip, br, zstd, deflate
Http Host	bpinetwork.org
Http X Https	1
Path	/usr/local/jdk/bin:/usr/kerberos/sbin:/usr/kerberos/bin:/usr/local/sbin:/usr/local/bin:/sbin:/bin:/usr/sbin:/usr/bin:/usr/X11R6/bin:/usr/local/bin:/usr/X11R6/bin:/root/bin:/opt/bin
Server Signature
Server Software	Apache
Server Name	bpinetwork.org
Server Addr	173.231.198.134
Server Port	443
Remote Addr	3.144.193.1
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	63384
Redirect Url	/app/webroot/innovator_profiles/view/40
Gateway Interface	CGI/1.1
Server Protocol	HTTP/2.0
Request Method	GET
Query String
Request Uri	/innovator_profiles/view/40
Script Name	/app/webroot/index.php
Php Self	/app/webroot/index.php
Request Time Float	1745894331.4509
Request Time	1745894331
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