How Can Data Warehousing And Data Analytics Help Telcos In Overcoming Their Challenges?

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How telcos can harness information to evangelize a sustainable competitive reward

Blog, Past Abinash Das Posted October xi, 2021 in Industrial

'Data is the new oil.'

It's been said so many times that it is at present a cliché, but unlike oil, data is not a diminishing resources. In fact, total data volume has been growing exponentially for years, increasing from an estimated 2 Zettabytes in 2010 and to a staggering 181 Zettabytes by 2025.

Telcos at the heart of the data explosion

The evolution of telecom networks from 2G to 4G has had a significant role to play in this data explosion. With the introduction of 4G, cellular and wireless networks became the dominant medium of buying, selling, browsing, streaming and socializing, creating rich consumption patterns and generating countless transactions and data points.

The global coronavirus pandemic has accelerated the adoption of these digital behaviors, bending the data growth curve even further—a trend which will undoubtedly proceed as the global rollout of 5G increases bandwidth and throughput exponentially.

The convergence of these two megatrends is disrupting industries and creating new business models, employ cases, applications and revenue streams in real time. Most chiefly, telcos— especially CSPs—will be at the very middle of the digital revolution, as massive volumes of network and operational information courses through their infrastructure.

Five barriers Telcos face to true information optimization

Merely several barriers are stopping near telcos from extracting the maximum value from this data they're capturing. These include:

Data Redundancy and Segmentation: Having access to volumes of data is not enough. It needs to be in the right grade to generate insights. Volumes of redundant data lying in multiple heterogenous systems and formats do not help analytics or machine learning.
Lack of system integration: Many Telcos lack the tight integration needed to ensure a frictionless catamenia of information across the enterprise, creating data islands and silos. For instance, network performance may non be able to fully leverage other operations data from OSS, business concern processes data from BSS, APIs, databases and the like.
Legacy Data Stack: Though many Telcos have operated for years relying on-prem legacy Data Warehouses, they are oftentimes riddled with heavy technical debt built upward over the years, acting as a bottleneck and preventing the flow of loftier volumes of information at high velocity.
Lack of right partner or right inhouse skills: Extract meaningful insights from vast volumes of data is a complex and specialized chore. Telcos excel at their core business processes but data analytics is a fairly recent and fast-moving area of expertise that tin be difficult to staff easily or well.
Regulations: One of the most pregnant recent roadblocks has been the proliferation of data privacy and protection laws around the globe, which adds an additional layer of complication related to agreement what data can be stored and monetized while nonetheless remaining in full compliance.

Five ways to clear the data optimization barriers

While the challenges are daunting, Telcos can overcome them past post-obit these five steps:

Begin with the right data strategy: Telcos need a carefully crafted enterprise information strategy designed around enterprise concern needs and goals. Clearly divers policies, guidelines and data governance is the first pace towards success. A coherent data strategy likewise helps with regulatory compliance, ensuring the employ of data aligns with changing local and regional privacy regulations. A partner with data in their DNA tin use their experience and best practices to help you accelerate this process and produce a more robust outcome.
Unify all information with a focus on quality: Once yous have a solid information strategy and accept identified what data is useful for your business goals, the next pace is to take proper enterprise data warehousing management. Heterogenous information needs to exist unified, de-duped and cleansed before it is able to generate insights or run any Machine Learning algorithms.
If you take a legacy data warehouse, it likely needs to be modernized to extract the total benefits of a cloud native architecture. The quality of information at this stage will determine how accurate your analytics are at afterwards stages.

If you're considering a partner, make certain they able to not only build the data pipelines but also ensure the highest quality data, including edifice ongoing information quality checks into your automated CI/CD framework. Similar oil, data is but useful when it's refined.

Handle your Large Data correct: The massive amounts of information coming in the 5G world will require enormous storage and management capabilities. The right partner tin can help build a cloud-based data lake that streamlines structured and unstructured data ingestion, enabling the creation of actionable data visualizations and fueling the car learning engine.
Create an effective Master Data Management (MDM) system: As information explodes in size and diversity, it becomes a challenge to connect and make sense of many data points. Petabytes of information can be meaningfully mined merely if Telcos build MDM systems for their customers, products, services and more.
MDM systems will rise to a whole new level of importance in the large data and automobile learning world, since they tin can create a 360-degree client view while keeping track of the expanding portfolio of products and services modern Telcos offer.

Analytics, AI and ML: If a Telco follows all the steps above, they'll exist in a position to generate insights and drive ROI from their data-related investments. This includes standard descriptive analytics delivered through dashboards and reports—which look backward—only they'll exist able to take reward of forrad-looking predictive and prescriptive analytics too.
Hither again, unlocking the full potential of a Telco's data analytics investment requires a partner with a history of exctacting insighs and value from all types of data forms and analytics needs, with a runway record of success to prove it.

Five Telco data optimization success utilise cases

Telcos who are positioned to accept full advantage of their data optimization investments tin can proceeds a durable competitive advantage over their competition in any number of ways, including:

Analyzing changing customer behavior patterns to proactively create new products and services, delivering optimum product-marketplace fit. This opens up the opportunity to evangelize a superior customer feel forth with identifying new paths to profitable growth.
Using hypercustomerization to deliver unique, individualized experience for every customer, including production suggestions, communication preferences or special services and offers. This differentiated experience cultivates loyal users and created higher cross-selling and upwardly-selling opportunities, resulting in higher ARPU.
Predicting customer dissatisfaction before customers have any action, preventing customer churn.
Improving 5G reliability and service assurance, using AI/ML algorithms to sift through huge volumes of network events and operations data flowing out of OSS to identify network operation problems, predict outages and create preventive maintenance plans with the help of growing IoT-based solutions.
Finding these bottlenecks and process inefficiencies can drive more automation, increasing efficiency and reducing Opex, as demonstrated in this instance study.
Improving the maturity, fluency and accuracy of AI chatbots deployed across the enterprise. With more than customer interaction data to piece of work with and improving algorithms, AI-infused chatbots can create client delight by reducing the wait times and solving many mundane problems without human intervention. In the outcome a human agent must be chosen upon, the system tin summarize the problems for the agent without the customer having to reiterate everything.

The benefits of data optimization intiaitives in telecommunications are incredibly compelling, given telco's place at the heart of the digital world today. But as data volume, velocity and variety grow, build and maintain data direction and analytics solutions volition only increment in complexity. An experienced partner with a decades-long legacy of handling data operations for large enterprises tin help simplify the process.

At Persistent, we deliver solutions that bulldoze agility and responsiveness past helping Telco organizations develop new products faster, manage costs in business operations and derive insights from performance data. Learn more about Persistent's services focused on Telecom and Media for companies struggling to redefine the customer feel, capitalize on digital convergence and launch new business models.

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