Data Management Challenges and Solutions in the Telecom Industry

Data Management Challenges and Solutions in the Telecom Industry

Blitz DMS Use Case

With the ever-advancing development of AI and ML, the collected data has become a valuable asset for maintaining a competitive edge, meeting client expectations, and responding to emerging challenges. Being the treasuries of data, telecommunication companies are no exception, and their ability to extract data and use it to the maximum extent plays a crucial role in winning markets and increasing profits.


Evolving regulatory standards and pressure from higher authorities. With new digital threats emerging every year, as well as a changing global landscape and rising demands for the security of private information, telecoms face constant pressure on how they manage stored client and operational data. New acts and regulations, such as GDPR in the EU and CCPA in the US, also contribute to the pressure of adhering to regulatory requirements, implementing security measures and providing the required reporting.

Expanding data volumes. Driven by new communication channels and new sources of data collection, the amount of data stored by telecoms is only expected to increase with every coming year. New diverse data sources, whether they are phone logs or smart house readings, require standardization and storage spaces that may turn out to be challenging without careful budget planning and a reasonable choice of data management systems.

Complex data consolidation and data inconsistencies. With telecoms tapping foot into advanced technologies, like IoT, AR/VR, and AI, the formats of incoming data also start to vary thus making their consolidation and analysis an additional challenge for the managers. Coupled with managing the existing data systems and legacy code, seeing the final picture becomes a challenging task, especially without competent data cleaning and processing.

Data protection concerns and security threats. By possessing sensitive customer data, it’s unsurprising that telecom companies often become the targets of DDOS attacks and data breaches. Besides external threats,another point of concern is insider work and the general accessibility of data that can be stolen or unintentionally leaked/corrupted by an employee.

The Solutions

The data warehousing challenges can become critical without the right tool to support the systems and manage the stored information. To combat them, the right data management solution should encompass the following requirements:

  • Assist in regulation adherence. By introducing data quality monitoring to timely detect inconsistencies and missing fields, telecoms will ensure that an audit will no longer be an issue. Furthermore, automated report generation will also decrease the number of human errors, and time spent on report preparation and delivery.
  • Guarantee data protection. Besides ensuring that the solution passes all the security guidelines, access control management can additionally monitor user activity and warrant that only employees with a needed clearance have access to the sensitive information.
  • Provide for scaling and consistent performance.  As the company grows, so does the data and the costs associated with its maintenance, processing, and storage. Based on the expected workloads and the data growth, some solutions will be more cost-effective in the long run than others.
  • Use the data to its fullest. Data management doesn’t end with data cleaning and processing - modern data solutions go a step further and dive into the data governance territory: predictive analytics, metadata, reference and master data management, etc. Data governance allows us not only to become closer to current and potential clients by predicting their needs but also analyze where it’s possible to cut costs and what business directions will become priorities in the future.

Use cases

Telecoms all over the world are constantly evolving and are actively investing in data management to keep up with the latest technological advancements and offer their clients the best services on the market. Here are some of the data management use cases from the global telecommunication providers:

  1. Reliance Jio.
    One of India's largest telecommunication companies is actively using data management and analytics in its operations to enhance customer satisfaction and grow as a business. Only one year after the start of the project, Reliance Jio has acquired 130 million new customers. By collecting consumer habits and location data, they now set their go alto personalize offers to both new and existing customers.
  2. Vodafone.
    Beinga global multinational company, Vodafone strives to remain a front runner and utilize the stored data to its utmost. Besides its client-oriented approach, the company is no less focused on internal operations - for example, Vodafone Italy created a single source of truth for their sales, marketing, and call center departments, as well as configured automated data collection to reduce manual labor costs and time consumption. Implementation of a data management system saved them one week of work per month for all the departments.

    Data governance is another aspect of their investments, as the company aims to predict customer behaviors, prevent network overloads, and minimize client churn. It segments customers into churn-prone and a stable base to initiate subsequent action sequences, analyzes and predicts future high network usage to improve connection strength, and creates individual product proposals based on client interactions history.
  3. Our client, a local telecommunication company.
    Being one of the leading providers of telecommunication services on the market, this company turned to us when their existing data management system ceased to maintain necessary performance and became too cost-intensive to support.

    By implementing the Blitz DMS components, namely the distributive database Greenplum, a Reporting module, and a BI platform Power BI,the telecom
    • - decreased time spent on data processing from 16 hours to just 2,
    • - increased the number of primary sources from 1 to 3,
    • - reduced the cost of ownership by 30% due to the open-source basis and not having to buy additional computing resources.

Why BlitzBrain Data Warehousing?

Thanks to open-source technologies, we bring telecom institutions unparalleled cost and functional benefits:

  • - Significant reduction of license and maintenance fees
  • - Simplifying telecom IT operations - improving the IT department’s productivity
  • - Extensive experience in data warehousing incl. massively parallel processing (MPP)
  • - Cutting-edge master data management (MDM) and data governance solutions
  • - Platform-agnostic solutions (no vendor lock-in)
  • - Seamless integration into the existing telecom ecosystems

Learn More

The volume of data is corporate data is growing. How can you avoid the increase in storage costs with big data solutions - case study.

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