Big Data for Managers
A 360-degree view of Big Data business intelligence in telecom — Hadoop, churn analytics, fraud detection and where CSPs actually make money from data.
Format
Classroom · Virtual
Upcoming sessions
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Communications service providers are investing heavily in Big Data business intelligence, but the decision-makers signing those cheques rarely get a full view of what the investment can return. This programme gives managers that 360-degree view, in telco terms throughout: the 4Vs — volume, velocity, variety and veracity — as they appear in telecom data generation, extraction and management; the Hadoop ecosystem, including Hive, Pig and SPARC, and when each tool earns its place; and the analytics families — insight, visualisation and predictive. The cohort works through the use cases that pay: customer churn reduction, network and service failure analytics from meta-data and IPDR, fraud and wastage detection, and target marketing from sales data.
What you will do
Who attends
- Network operations, financial, CRM and senior IT managers in the telco CIO office
- Marketing and sales managers
- Distribution heads
- Business analysts in telecom
- CFO-office managers and analysts
Programme agenda
Built for the decisions no textbook prepares you for
I.Big Data in telco terms
- The 4Vs: volume, velocity, variety and veracity
- Data generation, extraction and management in telecom
- How Big Data analytics differs from legacy data analytics
II.The toolchain
- The Hadoop ecosystem: Hive, Pig and SPARC
- Integrated Hadoop dashboards for business analysis
- Insight, visualisation and predictive analytics for telco
III.Use cases that pay
- Customer churn analytics — case studies
- Network and service failure analytics from meta-data and IPDR
- Financial analysis: fraud, wastage and ROI estimation
- Customer acquisition: target marketing, segmentation, cross-sale
IV.Making it real
- The Big Data analytics product landscape for telco
- Where each product fits in the telco analytics space
- A step-by-step approach to introducing Big Data BI
Frequently asked
Do I need a technical background to attend Big Data for Managers?
The programme is built for decision-makers rather than engineers. It presents the 4Vs — volume, velocity, variety and veracity — the Hadoop ecosystem, including Hive, Pig and SPARC, and the analytics families in telco terms throughout, at the level a manager needs to judge where a Big Data investment can return value.
Which telecom use cases does the course work through?
The use cases that pay: customer churn reduction, network and service failure analytics from meta-data and IPDR, fraud and wastage detection, and target marketing from sales data. The programme closes with a step-by-step approach to introducing Big Data business intelligence into your own organisation.
Is the training available in French or as an in-house edition?
Yes. BIZENIUS delivers the programme in English and French, and an in-house edition can be tailored to your operator’s data landscape and priorities. Sessions run on a rolling calendar with dates confirmed on request, and fees and quotations are provided on enquiry.
Who teaches this
Practitioners, not presenters.
Led by practitioners who have built and run technology, data and AI capability inside institutions rather than presented it to them: heads of digital and product innovation in banks, data and AI leaders who have taken models into production under governance, and technology risk specialists who advise boards on what the estate can and cannot yet do.
What the bench brings
- Analytics, business intelligence and data warehousing
- Credit and enterprise decisioning with data
- Financial modelling and advanced spreadsheet practice
- Data governance and management
- Forecasting, scenarios and dashboards
- Data science in production
Where they have practised
Current and former practitioners — people who hold the seat today alongside those who have held it.
Sectors: Banking & financial services · Technology & fintech · Oil & gas · Professional services
Regions: Africa · the Middle East · Europe · Asia · the Americas
How they teach
- Hands-on labs and worked data sets
- Case studies of real implementations
- Group design of business cases and journeys
- Demonstrations judged by adoption and control
- Knowledge checks and a personal action plan
Cohorts are kept small so every exercise is worked on the participants’ own situations — in person or live virtual.
The faculty profile for your cohort is sent with the full agenda and the next dates when you enquire.Request brochure →
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In their words
Knowledge transfer, emphasised throughout
“We worked with BIZENIUS for our Fresh Graduates Programme — they are simply amazing. Knowledge transfer and practical learning were emphasised throughout.”
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Take the brochure with you.
One request — the full agenda, the faculty and the next cohort dates, sent personally by the admissions team.