📝 Quick Review about how the telecom Operators chose their suppliers 📝 In the telecom sector, operators (such as AT&T, Vodafone, China Mobile, Deutsche Telekom) choose their equipment suppliers (Huawei, ZTE, Nokia, Ericsson, Samsung, etc.) based on several key factors. The decision involves technical, financial, geopolitical, and strategic considerations. 👉 Key Factors Influencing Operator’s Choice of Vendor 1️⃣ Technology & Innovation · 5G/6G Readiness: Vendors must offer cutting-edge RAN (Radio Access Network), core network, and transport solutions. · Network Performance: Speed, latency, reliability, and energy efficiency matter. · R&D Investment: Operators prefer vendors with strong R&D (e.g., Ericsson & Huawei lead in 5G patents). · Open RAN (O-RAN) Support: Some operators (like Rakuten, Dish) prefer vendors supporting open, interoperable networks. 2️⃣ Cost & Financial Terms · Pricing & Total Cost of Ownership (TCO): Chinese vendors (Huawei, ZTE) often offer lower prices than Nokia/Ericsson. · Financing & Vendor Loans: Some vendors provide attractive payment terms or loans (e.g., Huawei’s financing in Africa). · Scalability: Cheaper to expand with the same vendor due to interoperability. 3️⃣ Security & Geopolitical Factors · Government Regulations: US/EU operators avoid Huawei/ZTE due to security bans (e.g., UK’s Huawei ban). · Data Sovereignty: Some countries mandate local vendors (e.g., India’s preference for homegrown suppliers). · Supply Chain Risks: US-China tensions affect Huawei’s access to chips, pushing operators toward Nokia/Ericsson. 4️⃣ Network Reliability & Support · Service-Level Agreements (SLAs): Vendors must guarantee uptime, maintenance, and quick issue resolution. · Global Support & Local Presence: Operators prefer vendors with strong local teams for faster deployment & troubleshooting. 5️⃣ Vendor Reputation & Long-Term Viability · Track Record: Huawei dominates in Asia/Africa, Ericsson/Nokia in Europe/North America. · Financial Stability: Operators avoid vendors at risk of bankruptcy (e.g., past struggles of Alcatel-Lucent before Nokia merger). 6️⃣ Ecosystem & Partnerships · Cloud & AI Integration: Ericsson & Nokia partner with AWS/Google Cloud for telco cloud solutions. · End-to-End Solutions: Some operators prefer single-vendor solutions for seamless integration. How Operators Make the Final Decision ⁉️ 🔹 Request for Proposal (RFP): Operators evaluate vendors on technical & commercial bids. 🔹 Lab & Field Testing: Performance trials (e.g., 5G speed, power efficiency). 🔹 Regulatory Compliance: Ensuring no legal/security risks. 🔹 Long-Term Strategy: Aligning with vendor’s roadmap (6G, AI-driven networks). #Telecom #5G #Nokia #ZTE #Huawei #ZTT #NetworkReliability #Infrastructure #PreventiveMaintenance #Teamwork #Bell #Rogers #Telus #Ericsson #Emerson #Delta #HSE #QHSE #Safety
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You probably have more customer info than ever. So why can’t your team answer basic questions or make confident decisions? It’s because data lives in separate systems. Align your tools, insights & the people serving customers. Here’s what that disconnect looks like every day: ✓ The agent answering the call can’t see the customer’s last chat. ✓ The supervisor reviewing performance can’t trace a customer issue from beginning to end. ✓ And service teams are expected to deliver great experiences without knowing what’s already been said or promised. The path forward isn’t more tools. It’s fewer, smarter ones that are connected and accessible. ❶ Start by mapping one customer journey with your cross-functional teams at the same table (in person if possible). ❷ Identify where handoffs happen, where data gets lost, and where communication breaks — both internally and with the customer. ❸ Then rebuild your systems so the right people have the right context at the right moment — without logging into five platforms or asking the customer to explain again. That’s how you create Emotional Highs™: Not surface-level satisfaction, but a meaningful emotional lift that makes people stay, return, promote, and forgive when mistakes happen. Loyalty isn’t driven by your tech stack. It comes from how people FEEL when every interaction is easy, efficient, and clearly built around their needs. Yes — feel. As in emotions. The thing that’s always driven buying decisions, even if companies pretend otherwise. This isn’t a tech upgrade. It’s experience transformation. And it’s how you compete and win in today’s market. Are YOU #DoingCXRight®? Need help with ❶ ❷❸ above? Message me. 👉 Share + comment if you found this helpful so others can benefit. #CX #TheFormula #Nextiva #CustomerExperience #CustomerService
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Do You Need to Change Prices? Between new tariffs and technology, The pressure to maintain profitability is Making you question your costs and prices At a faster rate than you have changed in past. Make sure you don't overlook this key Economic concept and the related demand Analysis unless you like taking unnecessary risks. While demand predictions and forecasting fall Primarily into Marketing and Operations buckets, Demand is the main driver of your company revenue And has significant impacts on your business structure. Thus, demand analysis in the context of price changes Is not merely a function of estimating quantity sold. One should distinctly consider the price elasticity And account for dynamic market conditions. It is a relatively simple calculation and can be Even done on the back of an envelope, or by Using simple regression modeling or AI tools. If your product falls in the inelastic good category: --> Price increases might not lower your revenues. --> Customers heavily depend on your product. --> Unreasonable prices can cost you goodwill. --> Good pricing strategy can stand you apart. If your product falls in the elastic good category: --> You have many more competitors in the market. --> Even small price increases can lower revenues. --> Pricing has to fall within market parameters. --> Don't use a suboptimal pricing strategy. Actionable Insights: 1. Evaluate past price changes and revenue impacts. 2. Investigate what your competitors are doing. 3. Customize your approach to your pricing. 4. Include various teams in this decision. 5. Don't panic-price your products. Follow Dr. Kruti Lehenbauer & Analytics TX, LLC for #Postitstatistics #Economics #DataScience #AI tips P.S.: Are you looking to adjust your prices?
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𝐃𝐢𝐝 𝐲𝐨𝐮 𝐤𝐧𝐨𝐰 𝐭𝐡𝐚𝐭 𝐠𝐥𝐨𝐛𝐚𝐥 𝐦𝐨𝐛𝐢𝐥𝐞 𝐝𝐚𝐭𝐚 𝐭𝐫𝐚𝐟𝐟𝐢𝐜 𝐢𝐬 𝐞𝐱𝐩𝐞𝐜𝐭𝐞𝐝 𝐭𝐨 𝐫𝐞𝐚𝐜𝐡 𝐚 𝐬𝐭𝐚𝐠𝐠𝐞𝐫𝐢𝐧𝐠 77.5 𝐞𝐱𝐚𝐛𝐲𝐭𝐞𝐬 𝐩𝐞𝐫 𝐦𝐨𝐧𝐭𝐡 𝐛𝐲 2027? This explosion of data presents both a challenge and a massive opportunity for telecommunication companies. But are they equipped to handle it? The telecommunications industry is undergoing a seismic shift. Why should you care? Because this transformation impacts how we connect, communicate, and experience the digital world. A recent study showed that poor network performance can lead to a 30% increase in customer churn. 👉 In today's hyper-connected world, customer expectations are higher than ever, and telcos need to leverage data to stay ahead of the curve. 👉 Traditional data management systems struggle to keep pace with the sheer volume, velocity, and variety of data generated by modern telecom networks. Sifting through massive datasets to gain actionable insights is like finding a needle in a haystack. 👉 This makes it difficult to optimize network performance, personalize customer experiences, and develop innovative new services. Telcos need a new approach to data management to unlock the true potential of their data. 𝐓𝐡𝐞 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧? 👉 Deutsche Telekom, one of the world's leading telecommunications providers, is leading the charge by designing the telco of tomorrow with BigQuery. 👉 By leveraging BigQuery's powerful data warehousing and analytics capabilities, Deutsche Telekom is able to ingest and analyze massive datasets in real time. This enables them to gain valuable insights into network performance, customer behavior, and market trends. 👉 They can now proactively identify and resolve network issues, personalize offers and services for individual customers, and develop new revenue streams. 𝐊𝐞𝐲 𝐓𝐚𝐤𝐞𝐚𝐰𝐚𝐲𝐬: 👉 Real-time Insights: BigQuery enables real-time analysis of massive datasets, allowing telcos to react quickly to changing network conditions & customer needs. 👉 Improved Customer Experience: By understanding customer behavior and preferences, telcos can personalize services and offers, leading to increased customer satisfaction and loyalty. 👉 Innovation & Growth: Access to rich data insights empowers telcos to develop innovative new services & explore new business models. 👉 Scalability & Flexibility: Cloud-based solutions like BigQuery offer the scalability and flexibility needed to handle the ever-growing data demands of the telecommunications industry. This journey highlights the transformative power of data in the telecommunications industry. By embracing cloud-based data solutions, telcos can unlock valuable insights, improve customer experiences & drive innovation. The future of telecom is data-driven, and companies that embrace this reality will be the leaders of tomorrow. Follow Omkar Sawant for more. #telecommunications #bigdata #cloud #digitaltransformation #datanalytics
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I am traveling to Dallas today for TM Forum, a leading global industry event for #telecommunications providers, vendors, and analysts. #TMForum is where #telcos set the agenda for future-ready architectures, AI-powered operations, and the modernization of OSS and BSS. It feels like the perfect moment to share my latest blog post: Telecom OSS Modernization with Data Streaming: From Legacy Burden to Cloud-Native Agility Operational Support Systems (#OSS) have always been the nervous system of telecom operations. They activate services, assure quality, and manage the underlying network. In today’s world of 5G, multi-cloud, and #AI, this role has never been more critical. Yet most operators remain trapped in a legacy environment that slows down innovation and drives up costs. My new article explains how a #DataStreaming platform with #ApacheKafka and #ApacheFlink helps telcos evolve OSS step by step into a real-time, cloud-native architecture. Key topics include: - OSS as the central nervous system of the telco stack - The pain of legacy OSS and why modernization is overdue - How Kafka and Flink act as the event-driven backbone for modernization - OSS and BSS integration for seamless #OTT services - The role of data streaming in AI-driven and agentic operations - Lessons learned from EchoStar / Dish Wireless’ greenfield 5G OSS/BSS approach Data streaming turns OSS into a growth engine. It reduces OPEX, accelerates time-to-market, and builds the foundation for predictive and agentic AI. Read the full blog here: https://lnkd.in/esZbhmWZ How do you see telcos balancing the need to modernize OSS incrementally with the pressure to deliver new 5G and AI-driven services immediately?
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#2024predictions for telecom. 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞𝐝 𝐂𝐥𝐨𝐮𝐝-𝐄𝐝𝐠𝐞 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞: Telecom networks will evolve into a unified cloud-edge architecture where cloud resources seamlessly extend to the edge of the network. This integration will enable low-latency, high-bandwidth services closer to end-users. ➡Microservices and Containers at the Edge: The adoption of microservices and containerization will extend beyond centralized data centers to the edge of the network. Telecom operators will leverage lightweight, scalable containers and microservices to deploy and manage applications efficiently in distributed edge environments. ➡Edge Computing for Latency-Sensitive Applications: Edge computing will become a fundamental component for latency-sensitive applications such as augmented reality (AR), virtual reality (VR), and real-time communication. The placement of computing resources at the network edge will reduce round-trip times, enhancing the overall user experience. ➡Dynamic Orchestration with CI/CD: Continuous Integration/Continuous Deployment (CI/CD) practices will be tightly integrated into the telecom infrastructure. Dynamic orchestration of services and applications at the edge will be automated through CI/CD pipelines, enabling rapid updates, improvements, and the deployment of new features with minimal downtime. ➡Network Slicing Optimization: It becomes more dynamic and adaptable. Edge computing combined with CI/CD will allow for optimized network slicing, enabling telecom operators to tailor services based on specific application requirements. ➡Enhanced Security Measures: As services become more distributed, security will be a top priority. The convergence of cloud, edge, and containerized environments will lead to the implementation of enhanced security measures, including encryption, identity management, and threat detection, to protect data at both centralized and distributed points. ➡Ecosystem Collaboration: Industry collaboration & standardization efforts will intensify as various stakeholders work together to define common interfaces & protocols. This collaboration will facilitate interoperability, making it easier for telecom operators to deploy multi-vendor solutions seamlessly. ➡Efficient Resource Utilization and Scalability: The combination of cloud, containerization, & edge computing will enable telecom operators to optimize resource utilization and scale services more efficiently. This dynamic scalability will be crucial for handling fluctuating workloads and ensuring a consistent quality of service. The convergence of cloud computing, container/microservices, edge computing, and CI/CD in telecom in 2024 will result in a more agile, efficient, and responsive network infrastructure that will empower telecom operators to deliver innovative services and reduce latency. How do you see this dynamic duo revolutionizing network capabilities & user experiences? #telecom #edge #cloud Image credit: LF Edge
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5G NR-DC (NR Standalone Dual Connectivity) As 5G networks evolve beyond Non-Standalone (NSA) deployments, NR Dual Connectivity (NR-DC) is becoming a game-changing feature in Standalone (SA) networks. It enables devices to connect simultaneously to two 5G NR nodes - a Master Node (MN) and a Secondary Node (SN) for higher throughput, improved reliability, and seamless mobility. 1. What is NR-DC? NR-DC allows aggregated bandwidth from multiple frequency bands (for example, Sub-6GHz + mmWave), ensuring consistent performance and better coverage. It also enables seamless mobility between frequency layers and provides redundant connections for ultra-reliable communication. 2. Architecture Overview The Master Node (MN) acts as the primary control point, managing all RRC signaling and connecting to the 5G Core (5GC) via the NG-C interface. It typically uses mid-band frequencies like 3.5GHz (n78) to balance coverage and capacity. The Secondary Node (SN) provides additional high-speed data capacity, often operating in mmWave bands such as 26GHz (n258) or 39GHz (n260). 3. Deployment Scenarios NR-DC combines frequency layers for different deployment goals: n78 + n258 for urban hotspots (5–8× throughput boost) n1 + n78 for wide-area coverage enhancement (2–3× gain) n41 + n260 for high-capacity venues like stadiums (up to 10× gain) 4. Advanced Capabilities ✔ Dynamic Spectrum Sharing (DSS): The MN can share spectrum between LTE and NR while the SN provides pure NR capacity. ✔ Network Slicing Integration: Slices can be fully on the MN (eMBB), split between MN and SN (URLLC control on MN, data on SN), or operate as SN-only for private networks. ✔ Enhanced Mobility: Features like Conditional Handover and Dual Active Protocol Stack ensure seamless user experience during cell transitions. 5. Performance Highlights NR-DC delivers massive gains: downlink throughput can reach 4.8 Gbps in optimal n78+n258 configurations, while latency drops to 5–8 ms — significantly outperforming LTE-anchored setups. 6. Implementation Challenges Achieving optimal NR-DC performance requires: Tight synchronization (phase alignment <65ns for mmWave) High-capacity Xn interfaces (latency <20ms, throughput >10Gbps) Advanced UE chipsets (e.g., Snapdragon X65 or later) Power efficiency and inter-band coordination are also key considerations. 7. Comparison with Other DC Variants Unlike EN-DC (NSA), which anchors on LTE, NR-DC connects both nodes directly to the 5G Core (5GC) removing LTE limitations and unlocking full 5G performance. Synchronization is tighter, throughput is higher, and latency is lower. 🎯 Ready to Master 5G Dual Connectivity? Enroll in the in-depth course:📘 “5G System Architecture” 🔗 https://lnkd.in/e3S6B4aW #5G #NRDC #Standalone5G #Telecommunications #NetworkArchitecture #5GCore #WirelessEngineering #TelecomTraining #NextGenNetworks #5GDeployment
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What makes network data truly fit for purpose? Most operators assume their data is “good enough” — until they try to plan a new rollout, migrate to a new platform, or respond to an auditor. Then the gaps start to show. Here’s what best-practice network data should look like — and what’s usually missing: 1. Accessibility Your data must be easily available to the right teams — planning, engineering, finance, and ops — not buried in PDFs, offline spreadsheets, or locked inside vendor portals. API-ready, searchable, and integrated. 2. Accuracy Your logical and physical records must reflect reality — not theory. Sites, devices, ports, circuits, IPs — clean, verified, and matched to the field. 3. Consistency No conflicting statuses or naming chaos. A “retired node” in one system shouldn’t be “live” in another. 4. Completeness All network elements and relationships should be documented: From sites and fibres to VLANs, services, and customers — active, passive, and metadata included. 5. Timeliness Data should reflect the current network — not how it looked six months ago. Updates should be near real-time or run on a defined change workflow. 6. Interoperability Data must flow across OSS, GIS, inventory, billing, and NMS. Standard formats (JSON, CSV, XML), clean exports/imports. 7. Security & Permissions Data must be accessible but controlled. Role-based views, auditable changes, and protection of sensitive info. 8. Contextuality Data is more useful when enriched. Status, vendor, customer links, dependencies — not just raw asset records. 9. Cleanliness No duplicates, no “TBD” fields, no ghost circuits. 10. Actionability Your data should help people do things — not just sit in a database. Plan, forecast, troubleshoot, report — with confidence. If your teams struggle with any of the above, we’ve developed a practical, insight-led course that helps telcos clean, align, and take control of their network data. “The Hidden Cost of Bad Network Data” Enrolment open now. Send me a message on LinkedIn, WhatsApp, Email or Call me to learn more.
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Deciphering India's Telecom Infrastructure: A Deep Dive into BTS Rollout Trends Yesterday, the Department of Telecommunications (DOT) released the latest figures on 5G BTS deployments, along with daily updates on cumulative BTS numbers. From this data, I've extrapolated trends in 4G BTS rollouts, observing a notable reduction of 1,800 units in other categories (including 4G, 3G, and 2G) by the end of June. This decline could indicate an acceleration in phasing out legacy 3G and 2G networks—a positive step towards modernizing our infrastructure. However, a recurring trend has surfaced, similar to last year, with a decrease in legacy BTS installations each June. The reasons behind this seasonal pattern warrant further investigation. Meanwhile, 5G growth has plateaued, raising concerns about the quality of 5G services in India, which many users find subpar. Despite the increase in tariffs cited by operators due to high costs associated with spectrum and licensing fees, the impact of governmental levies (like GST) is significant. These costs hinder the potential for network improvement and expansion. It's time to reassess our policies towards critical sectors like telecommunications. By enabling efficient resource use and focusing on service quality over profit, we can strengthen operators like BSNL and others in the market. Noteworthy is the milestone reached by the end of May 2024, with over 800,000 cumulative towers nationwide. Yet, when compared to countries with similar demographics, this is just a fraction. We must escalate our efforts to match global standards. #TelecomIndia #5GBTS #DigitalIndia #Telecommunications #PolicyReform #NetworkExpansion #BSNL #TechTrends
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🏢Introduction to 5G Labs in India 🏢 5G Labs in India are research and development centers focused on catalyzing the 5G ecosystem. They facilitate collaboration between service providers, academia, and industry to harness 5G's potential. Core Objectives 🎯 🌐 Network Evolution: Enhancing India’s telecom infrastructure for 5G readiness. 🤝 Partnerships: Bridging government bodies, tech companies, and educational institutions. 📈 Economic Growth: Leveraging 5G to boost India’s digital economy. Real-Time Examples ⏱️ 📍 Reliance Jio’s 5G Lab in Mumbai: Innovating in areas like IoT, AR/VR, and digital healthcare. 📍 Airtel’s Network Experience Centre in Manesar: Monitoring and testing network performance and security. 📍 IIT Madras 5G Testbed: An academic-industry collaboration to foster 5G technologies. Technological Innovations 💡 🚀 Indigenous 5G Test Equipment: Encouraging the development of local 5G test equipment. 🤖 Smart Manufacturing: Integrating IoT and AI to revolutionize India's manufacturing sector. 🚜 Agriculture Tech: Using 5G for precision farming and enhanced agricultural productivity. Industry Impact 🏭 🏥 Telemedicine: Facilitating remote healthcare services, especially in rural areas. 📚 Education: Enabling interactive and immersive learning experiences. 🌆 Urban Development: Supporting smart city initiatives across India. Challenges and Solutions 🧗 🏙️ Urban-Rural Divide: Expanding 5G infrastructure to rural areas for equitable access. 💸 Investment: Attracting significant investments for large-scale 5G deployment. 📚 Skill Development: Training the workforce in 5G-related technologies. Future Prospects 🔮 📶 Nationwide Rollout: Aiming for a comprehensive 5G network across urban and rural India. 🤖 AI and Machine Learning: Integrating these technologies with 5G for smarter solutions. 🌍 International Collaboration: Partnering with global entities for technological exchange. India's 5G Labs stand as the vanguards of innovation, driving the country towards a digitally empowered future. 🇮🇳💡🚀