Curate Data and Data Cataloging in Telecommunications

23 Jun, 2024 •

a diagram of data and information

Telecommunication teams and executives have pressing questions, and the answers are often locked away in their operational systems. DvSum empowers telecommunications teams to curate data quickly and easily to unleash data insights and maximize business outcomes. This is how GenAI-powered self-service BI helps telecom teams.

By leveraging the power of Generative AI (GenAI), DvSum enables self-service Business Intelligence (BI) via natural language interactions with all your operational data. The DvSum Data Insights platform makes data cataloging and discovery effortless, ensuring that everyone can understand and trust the data they work with. With a quick, secure setup and no IT hassles, it is a game-changer for operational efficiency and strategic advantage.

This blog explores common challenges faced by telecommunication organizations in accessing data quickly and securely to make better-informed decisions based on reliable insights.

Example Telecom Use Cases

Data consumers, staff, and executives regularly struggle to derive actionable insights from data sources that are often hosted in different formats and systems. Ideally, data might be centralized in a data warehouse like Snowflake or a data lake such as Databricks. They might also have access to operational reports or dashboards built with business intelligence tools such as Salesforce Tableau or Google Looker. Even with mature BI tools, ad hoc questions requiring interactive analysis are usually only possible when performed by analytics team members who often lack a deep understanding of the data, the nature of the questions, or are not instantly available to help.

Use Case #1: Improve Operational Efficiency

Maintaining a Hybrid fiber-coaxial (HFC) network is costly and time-consuming. Each truck roll (i.e., sending out a technician) can easily cost $300 and take hours to resolve. The more information that can be quickly and easily retrieved by a support agent and on-site technicians, the faster issues can be resolved, driving both operational efficiencies and improving service level metrics like time to repair (TTR) and limiting unnecessary truck rolls.

Use Case #2: Improve Customer Satisfaction

Customers often contact support with vague issues like “my internet is not working.” The agent needs to uncover whether it’s a network issue, a poorly performing on-site cable modem, or something else. The technician scrutinizes performance statistics such as latency, uptime, and throughput. Curating this data helps form a hypothesis about the root cause, identify potential solutions, and drive improved customer satisfaction.

Use Case #3: Strategy Analysis for Executives

Executives want fast answers to simple questions like “What is my worst-performing node and why?” The reasons for poor performance may not be readily apparent. Issues could range from problematic utilization to a degraded hardware element causing dropped packets. An out-of-policy over-subscribed CMTS node or a customer cable modem with outdated firmware could also be at fault. Executives need to know where chronic performance issues exist, the root cause of the problem, and the correct remediation to avoid costly inefficiencies and negative impacts on customer satisfaction.

The Challenge: Self-Service BI with “In-the-Moment, Iterative Data Curation

Data is hard to access as it is spread across multiple systems. Companies often build data warehouses or data lakes to centralize data, but this approach is costly, time-consuming, and doesn’t cover all the necessary data. Structured data is located across systems and databases, while unstructured data is found in documents like operational manuals or wiki pages. Questions are ad hoc and iterative, but technical staff are often backlogged, making it difficult to get timely answers.

The Solution: AI-Powered Chat Interface to Curate Data

DvSum CADDI (Conversational Analytics for Data Driven Insights) allows support agents, technicians, and executives to find data and insights themselves with self-service BI by simply chatting with data in natural language. DvSum securely combines OpenAI’s GPT-4 with a powerful underlying data infrastructure, including data cataloging, data governance, and data quality. This enables any authorized user to query data quickly, easily, and iteratively.

With out-of-the-box connectors and training on the telecommunications domain, it is set up and running with your live data in two weeks or less. DvSum’s patented architecture allows you to securely work with your existing data sources and systems. Data never leaves your network.

Built on a strong data foundation, the DvSum Data Insights platform also includes a data quality module that helps standardize and harmonize data for more accurate reporting and insights. DvSum CADDI understands the data landscape and automatically accesses multiple databases and systems to quickly provide answers with sources cited to confirm the reasoning behind the responses.

Conclusion: Empower Telecom Teams to Curate Data with DvSum CADDI

DvSum CADDI empowers telecommunications professionals to become more autonomous and productive with self-service BI for “in-the-moment” analysis. Contact us today to see how DvSum CADDI can help you.

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