Today’s telecommunication landscape is vast and demanding. Providers must deal with an unprecedented amount of connectivity points and serve customers who expect fast, reliable service. The telecommunications industry is complex and requires attention to numerous factors including security compliance, industry standards, customer satisfaction, market competition, technology evolution, staffing, and more. Much of the telecom business is based on understanding the user base and the usage of the products and services. Understanding the volume and expectations and planning for future growth are key to continued success. And with the rise of Internet of Things (IoT) and widespread use of wireless sensor networks, telecom companies have boatloads of data to handle, presenting obvious challenges but also big opportunities. Yet, most business intelligence or data analytics platforms aren’t agile enough to make this data accessible and useful.
The telecommunication services industry is a market that faces significant challenges from competition, regulators, rapid technology shifts and innovations and a constant customer demand for new services, features and conveniences. In order to succeed, one must find and cultivate valuable partnerships and fend off or find new opportunities for acquisition. The opportunities for a sophisticated, prepared enterprise team are endless. However, it is difficult to merge and filter data and predict trends in the market and product and service offerings in order to stay ahead of the competition and be one-step ahead of customer needs. One of the challenges facing telcos is the difficulty to gain insights from all the data they generate. Telco enterprises generate huge amounts of data from mobile phone usage, call detail records, network equipment, billing information, server logs and the growing connectivity of the subscribers and users. Analyzing this data with a business intelligence solution provides telcos with a competitive advantage. They will be able to improve overall network performance, optimize service levels, minimize overhead costs and maximize profitability by ensuring customer loyalty. They can make data-driven decisions about investments to achieve targeted profit margins. The enterprise will have a unified view of data even if it comes from multiple data sources and departments. Users can analyze and view data in beautiful dashboards that are easy to understand and explore. They can also collaborate with colleagues, enrich the data with comments and get notified when there are anomalies in the data.
Business intelligence for telecom allows the organization and its business users to access data integrated from disparate sources and to use analytics for telecommunication to leverage out-of-the-box features including sophisticated, advanced data discovery tools that are easy enough for every business user to adopt and utilize. A centralized BI tool offered by Lotus Analytics enables telco enterprises to stay ahead of competitors and anticipate customer needs. Users can work in a single web solution, where data updated for everyone. Using a centralized BI tool, users can analyze data from different departments like marketing, finance, customer service, sales, and engineering. With governed data permissions, departments can share resources and insights.