SDLC Corp

Telecoms Analytics

Unlocking Insights: Navigating Telecom Analytics for Strategic Advantages

Software Development Company

Overview Of Telecoms Analytics​

Telecom analytics is a multifaceted discipline that harnesses the power of data analytics to extract actionable insights from the vast volumes of information generated within telecommunications networks. By leveraging advanced statistical techniques, machine learning algorithms, and big data technologies, telecom analytics enables providers to optimize network performance, enhance customer experiences, and drive strategic decision-making. This field encompasses many applications, including network optimization, predictive maintenance, fraud detection, customer churn analysis, and personalized marketing campaigns. With the proliferation of connected devices and the exponential growth of data traffic, telecom analytics plays a pivotal role in helping organizations stay competitive in an increasingly dynamic and data-driven industry landscape.

Telecoms Analytics

Our Telecoms Analytics​ Services

Telecom companies can use analytics to segment their customer base according to various criteria

Customer Segmentation and Profiling

Telecom companies can use analytics to segment their customer base according to various criteria, such as usage patterns, demographics, and geographical location. This helps understand customer behavior and preferences, enabling targeted marketing campaigns and personalized services.

Our team offers comprehensive smart contract development services, facilitating secure and transparent transactions within your DApp ecosystem, backed by our extensive experience in DApp software development.

Analyzing customer data can help predict which subscribers are likely to churn (cancel their service) and take proactive measures to retain them. This involves identifying key churn indicators such as usage drops, complaints, or billing issues and implementing strategies to address these issues.

Telecom analytics can be used to monitor the performance of network infrastructure in real-time.

Network Performance Monitoring

Telecom analytics can be used to monitor the performance of network infrastructure in real-time. This includes analyzing data on network congestion, latency, dropped calls, and other performance metrics to optimize network efficiency and ensure quality of service.

Healthcare analytics involves the use of data analysis tools and techniques to derive insights from healthcare data
Embark on a transformative journey into the future of insurance with our innovative Analytics platform. Traditional approaches are needed in a landscape marked by unprecedented challenges and opportunities.
Retail analytics involves the use of data analysis and predictive modeling to extract actionable insights from various retail operations

Retail analytics involves the use of data analysis and predictive modeling to extract actionable insights from various retail operations, including sales, inventory management, customer behavior, and marketing strategies. By leveraging advanced analytics techniques, such as machine learning and data visualization, retailers can optimize pricing, promotions, and product placement to enhance customer satisfaction and drive revenue growth.

Transportation and logistics analytics involves the systematic analysis of data within supply chain operations to optimize transportation routes, enhance fleet efficiency

Transportation and logistics analytics involves the systematic analysis of data within supply chain operations to optimize transportation routes, enhance fleet efficiency, and improve overall logistical performance. By leveraging advanced algorithms and technologies, it enables businesses to make informed decisions, predict demand patterns, reduce costs, and minimize delivery times, ultimately streamlining the movement of goods from origin to destination.

Banking analytics involves the systematic analysis of banking data to derive insights and make informed decisions.

Banking analytics involves the systematic analysis of banking data to derive insights and make informed decisions. It encompasses techniques such as predictive modeling, data mining, and machine learning to optimize operations, mitigate risks, and enhance customer experiences within the banking industry. 

Real estate analytics involves the use of data analysis techniques to gain insights into property trends

Real estate analytics involves the use of data analysis techniques to gain insights into property trends, market conditions, and investment opportunities. It utilizes statistical models, machine learning algorithms, and geographic information systems (GIS) to forecast property values, assess risk, and optimize investment strategies. 

Education analytics involves the systematic analysis of data from educational institutions to gain insights into student performance

Education analytics involves the systematic analysis of data from educational institutions to gain insights into student performance, learning patterns, and institutional effectiveness.

Telecom companies face various types of fraud, such as subscription fraud, identity theft, and unauthorized usage of services.

Telecom companies face various types of fraud, such as subscription fraud, identity theft, and unauthorized usage of services. Analytics can help detect abnormal patterns in usage data that may indicate fraudulent activity, allowing companies to take preventive action and minimize financial losses.

As a premier dApps integration company, we seamlessly incorporate decentralized applications into existing infrastructures. Leveraging our expertise in blockchain technology, we ensure smooth integration, enhancing functionality and efficiency.

Telecom analytics can be used to ensure that all revenue-generating activities are accurately captured and billed. This involves analyzing billing data, usage patterns, and payment histories to identify discrepancies and revenue leakages, maximizing revenue and minimizing revenue losses.

Telecom analytics can provide valuable insights into market trends, competitor strategies, and consumer preferences.

Telecom analytics can provide valuable insights into market trends, competitor strategies, and consumer preferences. By analyzing data from social media, customer surveys, and market research reports, telecom companies can make informed decisions about product offerings, pricing strategies, and market positioning.

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Benefits of Telecoms Analytics​

leading to increased productivity and reduced waste.

Up to 125% Increase in Efficiency

leading to increased productivity and reduced waste.

manufacturers can minimize disruptions to production schedules and maximize uptime.

Over 30% Reduction in Downtime

manufacturers can minimize disruptions to production schedules and maximize uptime.

optimizing equipment utilization, implementing energy-efficient practices

Up to 50% Reduction in Energy Consumption

optimizing equipment utilization, implementing energy-efficient practices

By implementing quality control measures based on data insights, manufacturers can achieve up to a 40% improvement in product quality

Up to 40% Improvement in Product Quality

By implementing quality control measures based on data insights, manufacturers can achieve up to a 40% improvement in product quality

Features of Telecoms Analytics​

Unlocking the full potential of blockchain technology with our expert smart contract development services.

Call Detail Record (CDR) Analysis

CDR analysis involves examining detailed records of telecommunication activities, such as calls, text messages, and data usage. By analyzing CDRs, telecom companies can gain insights into customer behavior, identify trends, detect fraud, and optimize network performance.

Comprehensive support across various blockchain platforms, ensuring seamless integration and optimal performance for your project.

Network Performance Monitoring

Network performance monitoring involves analyzing various metrics related to network infrastructure, such as signal strength, bandwidth usage, latency, and packet loss. By continuously monitoring network performance, telecom companies can identify bottlenecks, optimize resource allocation, and ensure high-quality service delivery to customers.

Enhancing the integrity of your systems with rigorous security audits and industry best practices implementation.

Customer Segmentation

Customer segmentation involves categorizing customers into distinct groups based on shared characteristics, such as demographics, usage behavior, geographic location, or service preferences. By segmenting customers, telecom companies can tailor marketing campaigns, pricing plans, and customer service strategies to meet the needs of different customer segments better.

Seamlessly integrating smart contracts with decentralized applications (DApps) to amplify functionality and user engagement.

Fraud Detection and Prevention

Fraud detection and prevention involve identifying and mitigating fraudulent activities, such as unauthorized access, subscription fraud, call spoofing, or SIM card cloning. By analyzing patterns and anomalies in usage data, telecom companies can develop algorithms to detect suspicious behavior in real time and take proactive measures to prevent fraud.

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Cost and ROI of Telecoms Analytics​

Audience Segmentation​

$10,000 - $50,000

A basic solution that enables:
  • Real-Time Monitoring
  • Basic Reporting
  • Historical Data Analysis
  • Inventory Management
  • Root Cause Analysis
Audience Segmentation​ (2)

$50,000 - $200,000

A Medium solution that enables:
  • Historical Data Analysis
  • Inventory Management
  • Advanced Reporting
  • Predictive Analytics
  • Machine Learning
  • Supply Chain Optimization
  • Quality Control
  • Advanced Predictive Analytics
  • Prescriptive Analytics
  • Digital Twin Integration
Audience Segmentation​ (3)

$200,000 - $1,000,000+

A advance solution that enables:

  • Real-Time Monitoring
  • Basic Reporting
  • Historical Data Analysis
  • Inventory Management
  • Root Cause Analysis
  •  Historical Data Analysis
  • Inventory Management
  • Advanced Reporting
  • Predictive Analytics
  • Machine Learning
  • Supply Chain Optimization
  • Quality Control

Our Telecoms Analytics​ Workflow

requirement gathering

Requirement Gathering

The initial phase involves thorough communication with stakeholders to comprehend their needs and expectations. A detailed analysis of the gathered information helps in creating a clear and concise set of requirements that will serve as the foundation for the entire software development process.
development

Development

Developers follow coding standards, utilize chosen technologies, and work collaboratively to build the solution iteratively. Regular check-ins and code reviews are essential to maintain code quality and ensure adherence to the design specifications. 
maintenance

Maintenance & Support

Post-deployment, the software enters the maintenance and support phase. This involves monitoring the system’s performance, addressing any issues that may arise, and releasing updates or patches as needed. User feedback is crucial during this phase, guiding the development of future enhancements or features. 
design

Design and UI/UX

The design phase focuses on translating the gathered information into a blueprint for the software solution. This includes creating system architecture, database design, and user interface mock-ups. The design phase also involves making decisions about technologies, platforms, and frameworks that will be utilized in the development process.
testing

Testing and Deployment

Quality assurance is paramount in the testing phase.  Bugs and issues are identified, addressed, and retested before moving to the deployment phase.   Continuous monitoring during and after deployment allows for prompt identification and resolution of any unforeseen issues.

Our Telecoms Analytics​ Portfolio

Customer Experience and Churn Reduction Suite​

Customer Experience and Churn Reduction Suite

  • Predictive analytics for churn prediction and customer retention strategies.
  • Sentiment analysis of customer feedback from various channels (call center, social media, etc.).
  • Personalized marketing offers based on customer preferences.
  • Customizable dashboards for tracking customer satisfaction metrics and KPIs.

Network Performance and Capacity Management Platform

  • Predictive analytics for capacity planning and network optimization.
  • Root cause analysis of network outages and performance degradation.
  • Integration with IoT sensors and network probes for data collection.
  • Traffic forecasting and load balancing algorithms.
Network Performance and Capacity Management Platform
Fraud Detection and Prevention

Revenue Assurance and Fraud Detection Solution

  • Revenue leakage detection and mitigation strategies.
  • Integration with billing systems for reconciliation and revenue assurance.
  • Real-time monitoring of usage patterns and billing discrepancies.
  • Predictive analytics for forecasting revenue streams and identifying revenue growth opportunities.

Market Intelligence and Competitive Analysis Toolkit

  • Competitive benchmarking and market share analysis.
  • Pricing optimization strategies based on competitor analysis and market trends.
  • Social media listening and sentiment analysis for tracking brand perception and customer sentiment.
  • Predictive analytics for identifying emerging market trends and opportunities.
Market Intelligence and Competitive Analysis Toolkit

Testimonials

prabhakar Software Development Company

Prabhakar Posam

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I had the pleasure of working with SDLC Corp for my company’s web app development needs. Their app development services were excellent, and they went above and beyond in creating a mobile app with excellent UX and UI design. I highly recommend them for anyone looking to develop a mobile app.

Praful Tembhurne

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SDLC Corp was the perfect choice for our company’s mobile application development needs. They were able to develop both the iOS and Android versions of our app with a seamless user experience. Their team was responsive and professional throughout the project.
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I was impressed with the project development solution provided by SDLC Corp for my mobile app.  Their cross-platform apps are available on both the iOS (apple app store) and Android app stores, and I highly recommend them as a mobile app development company.

Why Choose Us ?

We boast a team of seasoned professionals with extensive expertise in blockchain technology and DApp development.

Telecom Industry Expertise

 Our team possesses extensive expertise in the telecom industry, understanding its unique challenges and opportunities. With a deep understanding of telecom operations, market dynamics, and regulatory requirements, we are well-positioned to provide tailored analytics solutions that address the specific needs of telecom companies.

Our approach to DApp consulting and strategy services is highly personalized. We understand that every business is unique, and we take the time to thoroughly understand your organization's goals, challenges, and constraints.

Advanced Data Analytics Capabilities

We leverage advanced data analytics techniques and cutting-edge technology to extract actionable insights from vast amounts of telecom data. Whether it’s analyzing call detail records, customer behavior, network performance, or market trends, our analytics capabilities enable telecom companies to uncover valuable insights that drive strategic decision-making and improve business outcomes.

Over the years, we have successfully assisted numerous clients in navigating the complexities of DApp development and implementation.

Customized Solutions for Business Growth

We offer customized analytics solutions designed to help telecom companies drive business growth, enhance customer experience, and optimize operations. From churn prediction and customer segmentation to network optimization and revenue assurance, our analytics solutions are tailored to address key business objectives and deliver measurable results. 

Transformation starts here

Our team of expert is on hand to assist you
Software Development Company

Testimonials

prabhakar Software Development Company

Prabhakar Posam

On time delivery:
Reporting:
Communication:
Code Quality:
Availability:
I had the pleasure of working with SDLC Corp for my company’s web app development needs. Their app development services were excellent, and they went above and beyond in creating a mobile app with excellent UX and UI design. I highly recommend them for anyone looking to develop a mobile app.

Praful Tembhurne

On time delivery:
Reporting:
Communication:
Code Quality:
Availability:
SDLC Corp was the perfect choice for our company’s mobile application development needs. They were able to develop both the iOS and Android versions of our app with a seamless user experience. Their team was responsive and professional throughout the project.
hamza Software Development Company
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