5G is transforming the telecommunications industry. Operators know it’s more than just a next-generation network: 5G will deliver faster speeds, increased bandwidth, and lower latency. It will allow solutions like the Internet of Things (IoT) to drive to new heights by delivering a more reliable IoT environment.
But with all its promise comes challenges. Analysts project there will be 55 billion connected devices by 2025. With a lot more data traveling across networks, there’s also more data for operators to store, manage, and analyze in a timely manner. Keeping costs low, meeting regulatory requirements, and keeping up with demands for analytics requires careful planning.
User behavior is changing. Low cost-per-bit services like voice calls are declining, while high cost-per-bit services like video streaming are dominating. At the same time, data revenues are not consumption-based.
The pressure is on for operators to manage costs while delivering superior Quality of Service.
Find out how a China Telecom supports better decision making with up to 50x faster reporting and 50% lower TCO.
Analyze massive volumes of data in tight SLAs with no limits in terms of scale or concurrent users
Leverage structured data from the data warehouse and semi-structured data from the data lake for enhanced BI/reporting and enriched predictive models
Accelerate time-to-market and produce more accurate predictive models using all of your data
Bring analytics to your data wherever it resides: in your on-premises data center and in any of the public clouds
In its analysis of Vertica, Analysys Mason identifies performance, unified analytics, and flexible deployment options including multi-cloud and hybrid cloud as key strengths for telecommunications operators.
90% of new data will be semi-structured and unstructured data that will reside in HDFS or in object storage like S3. Operators will need to leverage all of their data for analytics, regardless of where it resides. A single central repository is not always realistic, but giving data analytics access to all who need it is essential.
For many reasons, telecom operators have been slow to embrace cloud. However the public clouds enable many of the features operators need to be flexible and adaptive to their customers’ needs. The future for most companies will certainly be multi-cloud and hybrid, and operators should make infrastructure and application decisions with interoperability in mind.
How can unified analytics help predict and reduce churn?
How did Anritsu extend analytical capabilities and transform the business model through analytics?
Vertica powers the most popular Telecom ISVs
Leading telecom ISVs embed Vertica for analytics because it delivers the scale, performance, and predictive capabilities operators demand. These are just a sample of Vertica partners serving telecom operators today.
IPTV is seeing increased adoption by consumers, and increased spending by advertisers, many of whom would not buy traditional television ads. Operators have an opportunity to leverage customer data to generate revenue from ad inventory.
Find out how United Group uses Vertica to combine 50+ customer and device attributes to serve a personalized block of ads based on a customer’s interest, and make near real-time decisions on how to fill that ad block.
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Find out how Vertica can help your organization prepare, predict, and scale for the future.