Big data technologies are transforming the landscape of every industry and the telecom industry is no different. Telecom providers now have more data available to them today than ever before. And as Gartner Inc. confirms below, they will only expand the amount of data they have in the coming years.
A recent article from CXOtoday.com states, “global research firm Gartner confirms this trend and says that companies are gathering much more data than was ever possible and that Data Analytics will continue on to grow exponentially by 800 percent over the coming five years. Telecom sector must take advantage of this data deluge. And legacy business intelligence as well as data visualization tools of yesteryears will not suffice as they are not geared towards resolving complex data problems. Consequently, this is the time for the telecom industry to leverage Data Analytics as the sector itself generates tons of data.”
So how do telecom companies solve complex data issues? The first step is replacing old legacy systems with a modern big data analytics suite.
What to Look for in a Big Data Analytics Solution
A big data analytics solution can help telecom companies profile and analyze data in real-time as it moves across the entire enterprise. Whether you’re focused on analyzing the complete lifecycle of your customer or modernizing legacy systems to support competitive business objectives, you’ll need a dynamic big data analytics solution that will adapt to emerging data sources and exploding volumes.
The ideal solution should be an integrated suite of data and analytics software solutions that can analyze data across your enterprise by capturing, assessing, acting, and communicating business analysis results. Big data quality capabilities should be incorporated to optimize analytics that excel in identifying and predicting fraud, as well as analyzing customer behavior patterns such as propensity to pay and propensity to collect. A centralized governance framework should be integrated to truly understand the business and technical definitions, ownership, definitions, lineage and other key metadata about the huge variety of data sets. The suite should include flexible cloud and on-premises deployment options and cost-effective implementation, leading to overall better business outcomes.
By establishing trust through data integrity and understanding your data through data governance you can successfully put all of your big data to use with advanced insights through reliable and scalable big data analytics. The result is improved models to reduce risk, support compliance, provide end-to-end data visibility, and increase operational efficiencies.
To learn more about how an all-inclusive data intelligence platform can help the telecom industry manage complex data issues, download the data sheet below.
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