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CRM System for: Security and Hacking |
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CRM System for: Security and Hacking
Our view of CRM system is how to use data to advance your business by handling diverse and new data. Without being a philosopher and a critic, CRM as a concept is not limited to service human customer only. Any time, there is a service, there must be a client and server or a user and a provider. CRM is how to use the never ending flow data to service clients including the company which is servicing these clients. Such clients can be anything including human. For example, an airline company would have several CRM system running trillions of data sets, where clients can be luggage handling, airports, weather, customers, fuel, etc. Each is an independent CRM system running within the airline. The customer in the luggage CRM would be the luggage and their owners. Such CRM system would be communicating and cooperating to advance the airline and meet the airline goals. We believe that CRM and Big Data are the basis for advancing any business. They are inseparable. Sadly CRM is being called different names such as Enterprise Resource Planning (ERP). ERP views customers is human only, where our CRM views anything including the business is composed a number of CRM subsystems. Our example of the airline as a business is a CRM system and not ERP. There are several factors (not including security) must be addressed when comes to CRM: • Size of data • Types of data • Storing data • Extract, Transform, Load of data • Processing speed • Values within the data • Data Presentation • Never ending updates • Tracking data and values • Social media impact • Statistics The following sites are our presentation of handling CRM and Big Data: http://www.crmdatafarm.com http://crmmetadata.com http://gdprarchitects.com Our Cybersecurity CRM System:
Image #1 Images #1 presents number of users and the size of Cybersecurity protection needed by these institutions such as Facebook, YouTube, Google, Amazon, and so on. The size and cost of protecting these institutions' services and accessing is in the trillions. The global cost of cybercrime was estimated to surpass $8 trillion in 2022. The figure is expected to go beyond $11 trillion in 2023. Therefore, building a CRM System to tracking hacking and hackers definitely worth the investment. The Return on the investment (ROI) is worth it. The questions here would be: • What type of a CRM System is needed? • The Features of the CRM System? • The Cost of Building Such CRM? • How AI and Machine Learning can be used to aid in such CRM System? What type of a CRM System is needed? Readers need to check the following sites for our CRM system presentation: Intelligent CRM Metadata (ICM) Project The Features of Our CRM System? We do need to brainstorm our approach with other experts and the following are what we see the needed features of CRM System for hacking as a crime: 1. Personal – types, ranking, education, training, level of intelligence, finance, networking 2. Mindset - Habits, tendencies, motivations, 3. Technologies – methodologies, used, targeted, AI, ML 4. Software – tools, programming languages, code, software, support 5. Hardware – Types and capabilities 6. Methodologies 7. Locations – countries, hosting, servers, 8. Funding – teams, individuals, organizations, governments, 9. Timing 10. Support – teams, networking, mentors, governments, funders, trainers 11. Victims and targets 12. Detection, prevention, remedy, recovery 13. Law, Crime and punishment 14. History of hacking and hackers 15. Tracking hacking and hackers 16. Lesson Learned The Cost of Building Such CRM? At this point in the game, we cannot give an exact cost, but we would able to give a rough estimate of would take to build such CRM System. In short, we have roughly about 16 features plus we need to add other features such as management, testing, virtualization, intelligence, Cybersecurity and misc. The cost of each feature can be estimated from other projects we had developed. Therefore, if there are interested parties to join our venture, we would be more than happy to give written estimates, Business Plan, Proof of Concept (POC), analysis and any other documents required by the interested parties. How AI can be used to aid in such CRM System? As for AI and CRM, sadly, we are AI experts and we d have our own-homegrown Machine Leaning System. Therefore, the following Google search on AI and CTM, AI-based chatbots for CRM can handle a wide range of customer queries, provide product information, and assist with problem-solving. Natural Language Processing (NLP) allows chatbots to understand and answer customer questions in a human-like manner, which greatly enhances the customer experience. What is chatbot in simple words? At the most basic level, a chatbot is a computer program that simulates and processes human conversation (either written or spoken), allowing humans to interact with digital devices as if they were communicating with a real person The top AI CRM use cases in customer service include: 1. Chatbots for instant support. 2. Personalized customer interactions. 3. Automated ticketing and routing. 4. Voice recognition for call centers. 5. Predictive analytics. 6. Automated email responses. 7. Sentiment analysis. 8. Self-service knowledge bases Machine Learning can be used to aid in such CRM System? See our ML page: Machine Learning |
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