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Resolving Telco's Post-Merger Data Chaos Challenge
Mergers promise consolidation and economies of scale, but bring data silos. A decision-first decision intelligence mentality can deliver data integration and value.
Mergers and acquisitions have become integral to growth strategies across industries, particularly in telecommunications. Over the past decade, M&A has been a defining feature of the industry. In 2024, global telecom M&A deal values topped $127 billion dollars, with momentum expected in this year and beyond. Consolidation and opportunities and economies of scale abound, but onerous business processes and data silos are a proven problem. A customer-first decision intelligence approach provides clarity on improving, integrating and modernizing data tools. The Quantexa Decision Intelligence Platform is proven to take control of merging organizational data while delivering customer success. Let's explore.
The post-merger data chaos challenge
The path to a successful merger is littered with challenges. A significant obstacle entails managing the chaos caused by massive and often fragmented data systems. Such mergers often lead to data silos, redundancies, missing information, and a lack of standardized processes, which collectively impair decision-making capabilities and complicate data management.
Telecommunication companies, known for their complex infrastructures and large-scale datasets, struggle to unify disparate systems and thereby cleanse data post-merger. The resulting "data chaos" stifles operational efficiency, delays customer insights, and poses hurdles for compliance and risk management. A decision intelligence first perspective offers organizations a robust, scalable approach to unify, contextualize, and analyze massive amounts of data after a merger.
The role of decision intelligence
Quantexa's Decision Intelligence Platform empowers organizations to resolve data fragmentation and chaos by offering scalable tools for data ingestion, contextual analysis, and actionable insights. It provides several important advantages provides for telcos in post-merger scenarios:
Data integration and unification: The Quantexa Platform enables organizations to bring together disparate data systems, seamlessly integrating datasets from multiple sources to build a singular, unified view centered on customers as unique, important entities. This helps eliminate internal silos while setting the foundation for clearer, data-driven decision-making processes and, with customer-centricity, value creation.
Entity resolution: A technical yet indispensable capability is advanced entity resolution. The Quantexa Platform can identify and consolidate disparate records across merged systems that point to the same entity, whether it’s a customer, supplier, or operational asset. This both reduces duplication across datasets and enhances accuracy ensuring the right communications go to the right people at the right time.
Contextual analytics: By overlaying and unifying various datasets, telco decision-makers can obtain a 360-degree, contextual view of their business. It helps them identify opportunities and risks rapidly that emerge post-merger, from better selling strategies to spotting anomalies in operational data.Firms can identify churn risks and upsell at the optimum time to willing customers.
Scalable AI and analytics: Quantexa can consolidate and enhance AI-ready data. With trusted AI, telcos can scale their decision-making across various operational, customer, and risk-related use cases, through automation of highly manual processes and augmenting strategic decision-making with insights.
High-impact use cases in telecom post-mergers
There are many instances where decision intelligence can foster success for telcos post-merger, a way to apply platforms not just to one but many types of vital business operations.
Customer intelligence: Telcos have to retain customer loyalty. Delivering personalized relevant services when merging two diverse client bases is non-trivial. Decision Intelligence can simplify the investigative process behind understanding customers, offering quality insights into customer connections, preferences, and transactional data. This enables businesses to craft effective engagement strategies.
Supply chain optimization: Telecom mergers often result in fragmented vendor and supplier data sets that lead to inefficiencies. By providing enriched and contextualized views of supply chain data, decision intelligence helps businesses reduce risk, streamline operations and reduce costs.
Fraud detection and risk management: Mergers bring heightened risk related to financial crime, suspect transactions, and compliance failures. Decision Intelligence platforms like Quantexa are uniquely equipped to detect fraud patterns and anomalous activities within post-merger data sets, ensuring that telcos can remain resilient.
Decision intelligence, now and tomorrow
Telcos need to handle future complexities as well as today's. Decision intelligence can facilitate a proactive, data-driven approach across use cases, that drive consistency and reuse across pipelines and workflows for added scale and long-term benefits.
Key elements of this forward-thinking approach include:
Unlocking data for scale: By leveraging unified, clean, consistent datasets across businesses, telcos can scale operations rapidly without being hindered by fragmented systems.
Continuous learning: Learning and reapplying across use cases helps businesses to adjust strategies and retain flexibility in highly dynamic markets.
Resilience and agility: Telcos must evolve faster than their competitors. Decision Intelligence ensures that companies are not only resilient during periods of operational uncertainty, but agile enough to capitalize on new and emerging opportunities.
Bridging data science with business outcomes
High-quality data and contextual analytics is essential to both decision-making strategies and enterprise workflows. For telcos navigating mergers and acquisitions, focus of data science teams can shift from transactional analytics and firefighting to more strategic modelling and prediction. For example, by simplifying data engineering and wrangling, data science teams can lean into more strategic modelling that benefits business teams. For example, they can scrutinize knowledge graphs to identify new patterns, improve feature for predictive models and live monitoring, or perhaps simply validating client or risk scoring. In short, automate the mundane and enhance the focus on the strategic processes.
The path forward
Quantexa’s Decision Intelligence Platform can resolve the post-merger data chaos in telecommunications. Furthermore, by taking a decision-first approach, firms can set themselves up for future success in customer intelligence, fraud detection, supply chain improvement and more.
In short, Decision Intelligence through the Quantexa Platform not only mitigates immediate disruptions caused by data silos but also positions businesses to become resilient and adaptive leaders in their industries. Telcos undergoing mergers or acquisitions need to be forward-looking to unlock potential and eliminate the chaos. While Decision Intelligence is relevant to many industries, the perils and pains of post-merger chaos are prevalent amongst large, consolidating telecommunications providers. and the industry can gain a significant upside from adoption.
For more information on how the Quantexa Decision Intelligence Platform helps resolve the post-merger data chaos, with examples of customer intelligence implementations, watch the webinar, How Quantexa Unlocks Data for Decision Intelligence.
To learn more about how Quantexa supports the telecommunications industry, read the blogs Transforming Supply Chain Risk Management with Data and Technology [link to Alistair's] and the Hidden OpEx Challenge. Also read the telecommunications section of the web-site.
