Data Analytics is the identification, design and deployment of strategies, processes, skills, systems and data that can provide actionable intelligence resulting in business value. It is about the harnessing of the different varieties, volume, and velocity of data. To execute on this, and deliver improvements in areas such as customer experience or the reduction in customer churn, there are a number of operational issues including data integration.
TM Forum is leading the digital industry in delivering business value from data analytics through a range of best practices, thought-leading collaboration activities and research, in addition to services such as training and coaching to get you started.
Today’s competitive market demands that service providers and global enterprises maximize their business potential at all times, and making data-based decisions is the key to this success. Fortunately, service providers have a multitude of data, yet gaining value from this data is complex. Big Data Analytics is all about getting value from this data to:
- Gain business advantage by improving margins on services
- Increase revenue per customer
- Improve customer experience across the lifecycle of the relationship
Forum Contribution & Value
For service providers, TM Forum provides a suite of Big Data Analytics best practices to monetize and derive business value from pragmatic Big Data solutions, enabling resultant improvements in customer satisfaction and net promoter scores. TM Forum helps you to:
- Assess Big Data systems readiness with the Reference Model
- Map business drivers to 69 key use cases in the best practice guide
- Utilize the Business Value Roadmap and Big Data Analytics Guidebook Building Blocks to guide implementation of Big Data use cases
- Become part of our project by contributing back to TM Forum, essentially crowdsourcing use cases and building blocks.
- Leverage our library of over 2900 pre-defined metrics for business operations, cable, fraud management, cyber security and customer experience management to set up measurements for your business.
For technology suppliers, the Big Data Analytics best practices enable you to establish a common language with your customers and also serve as a resource for you and your customers to set project direction and priorities.
Download the latest Big Data Analytics Solution Suite containing a guidebook, reference model, use cases, business value roadmap, building blocks and the analytics big data repository for big data analytics.
70 use cases for Big Data applications in service providers such as real-time personalized offers, proactive care, churn prediction, network optimization, revenue assurance and fraud.
The Analytics Big Data Repository (ABDR) is a CSP’s data repository, used mainly for analytical purposes, permitting efficient and straight forward re-use of data for multiple purposes.
Proper oversight and management of data is a must for quality, compliance, revenue growth and cost reduction. Comprehensive governance processes for Data and Big Data Management have been outlined along with a roadmap of how to achieve a high level of maturity in this area.
This Data Monetization Introductory Guide provides a business reference model, technical best practices including Security & Privacy and use cases for various industry verticals.
Details of 2900+ Metrics including names, definitions, identification and calculation for use in various business types and business functions.
TM Forum’s Case Study Handbook 2017 provides a diverse collection of real-life success stories from service providers across the globe that are transforming their businesses to become agile digital service providers capable of rapidly delivering what customers want.
Cities are sitting on masses of data. Exposing it for use by citizens, developers and businesses can unleash innovation, efficiencies and monetization opportunities. It can also help cities to demonstrate transparency and build trust with citizens. The challenge is creating a secure, transparent environment where public data can be exposed and businesses can also contribute their data and be paid for it.
Our latest Quick Insights report on big data aids service providers in understanding the opportunities and impediments for external monetization of customer data, and provides a series of recommendations for approaching monetization.
Our fourth Insights Research report on big data explores short-term challenges including a huge scope, high level of complexity, immature technology, and lots and lots of ‘dirty’ data. Author Rob Rich also outlines recommendations for what service providers should do in order to be successful with a big data strategy.
Massive quantities of data are being generated in the modern, digital world, and as much as 80 percent of that data has a geospatial component. Consequently, as with big data at large, all kinds of companies could derive business benefits from being able to harvest, clean, homogenize, authenticate and analyze this geographic data, in a cost-effective and timely manner.
Big data remains a hugely important topic this year across virtually all industries – perhaps only the Internet of Things exceeds it in overall hype – and the communications sector is no exception. Business leaders, especially in marketing and IT management, are bombarded with publicity about the crucial role of importance of big data, and are very optimistic about the possibilities buried in the zettabytes of data stored today.
Webinar On Demand
While many efforts are underway or under consideration, there are very few digital service providers that have completed the heavy lifting required to establish the foundation for digital services, defined a global ecosystem strategy and built up partner relationships. All-in-all the delivery of end-to-end digital services remains a work in progress, but one that is ripe for innovation. Service providers were asked about their progress and plans relative to defining and delivering digital services. This webinar will share some of those insights.
Webinar On Demand
This webinar will provide a comprehensive understanding of how organizations can drive digital transformation through their big data practices. The focus will be on developing strategies to address the challenges of big data integration and sharing caused by data complexity, silo distributions, and diverse data management
Webinar On Demand
This webinar brings together five TM Forum subject matter experts to discuss and answer key questions about emerging trends and how the Forum’s activities and assets can help companies collaborate and partner to create, deliver and monetize innovative digital services.
Take this course to discover how to gain a clearer knowledge of your customers’ behavior and intentions using data analytics, respond to customers through the channels that they choose (omnichannel), and use metrics to measure what matters to the customer as a yardstick of operational performance.
Official TM Forum Training and Certification is a critical supporting tool in helping our members continuously transform and succeed in the digital economy. At the heart of our training portfolio is Frameworx, TM Forum’s suite of best practices and standards that have helped hundreds of companies reduce cost, risk and time-to-market.