• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to footer
  • Articles
  • News
  • Events
  • Advertize
  • Jobs
  • Contact
  • (0)
  • LoginRegister
    • Facebook
    • LinkedIn
    • RSS
      Articles
      News
      Events
      Job Posts
    • Twitter
Datafloq

Datafloq

Data and Technology Insights

  • Categories
    • Big Data
    • Blockchain
    • Cloud
    • Internet Of things
    • Metaverse
    • Robotics
    • Security
    • Startups
    • Strategy
    • Technical
  • Big Data
  • Blockchain
  • Cloud
  • Metaverse
  • Internet Of things
  • Robotics
  • Security
  • Startups
  • Strategy
  • Technical
Loading Events

Monetising Big Data in Telecoms World Summit 2018

Location: Singapore
Date: April 23, 2018 12:00 amfloq.to/Ul8HK

Monetising Big Data in Telecoms World Summit 2018 draws together highly-regarded expert speakers from across the ecosystem of telecommunications industry and big data analytics solution providers to present to you the latest key trends and development in monetising internal and external big data.
The highlights of the summit will be Case Studies and Perspectives to be shared by telecoms operators on their experience in implementing big data strategy in their businesses.

Listen to Presentations and Case Studies for These Important Topics:

Successful Digital Transformation through Your Effective Big Data Strategy

Operator Keynote Address – Creating a Sustainable Analytics Culture

Enhancing Your Customers’ Experience & Reducing Churn through Big Data Analytics

Letting Your Data Talk and Realising Its Potential

Operator Case Study – Maximizing MTRASS as Single Source of Truth to Drive Data Monetisation in Smartfren

Operator Case Study
Optimizing Quality of Experience through Analytics

Compatibility of Legacy Systems with a Real-Time Analytics Approach

Operator Case Study – Efficient Data Governance with Machine Learning Data Integration

Operator Case Study – Making the Right Decisions to Transform your Data Management

Operator Case Study
How Chatbot Implementation in Telenor helps in Maximising Customer Experience?

Big Data for Customer Good?

What do we want to achieve from our use of customer mobile data?

How do we shift from asking what big data can do for us, to what it can do for our customers?

What types of information will help our customers reduce their costs or risks?

What type of information is currently widely dispersed, but would benefit the customer if brought together?

Maximising Revenue through Big Data: The Do’s and Don’ts for Becoming a Data-Driven Organisation

Operator Keynote – Maximising Business Value through Effective Big Data Strategy
From A Marketing Perspective

Exploring Innovative Data Analytics

IoT Data Analytics Challenges in Mobile Networks

Machine Learning & AI on Fast Big Data: Challenges and Perspective

Operator Case Study – Maximizing the Business Impact of Insights

Operator Case Study
Leveraging Marketing Science to Gain Competitive Advantage

Monetising Your Big Data Strategy

Integrating Multiple Data Sources to Drive Data Monetisation

Operator Case Study
Business Value Creation with an Integrated Data Analysis Platform

Generating New Revenue Streams & Identifying Revenue Risk with Data Analytics

Identifying the potential value of the problems you’re trying to resolve

Selling analytics and insights as opposed to raw anonymized data

Creating an improved revenue administration and revenue model

Meet and Network with the following Prestigious and Highly Regarded Speakers & Panelists from :

George Chua, Director of Data Science & Systems Engineering, Axiata Digital Advertising, Malaysia

Myk Ogbinar, Head of Data Mining & Agile Analytics, Advanced Analytics, Enterprise Data Office, Globe Telecom, Philippines

  • Ragunathan Gopalakrishnan, Head of Data Architect (Consumer Bis -Customer Management), Maxis Mobile Services, Malaysia

Tarikul Islam, General Manager, EDW & Analytics, Information Technology, Robi Axiata, Bangladesh

Cahyo Widiyanto, GM/Head of Reporting & MIS Department, Finance Group, Smartfren Telecom, Indonesia

Dr Winn Voravuthikunchai, Group Data Scientist, Applied Analytics, Telenor Group, Thailand

Dr Rujikorn Pavasuthipaisit, Director of Data Analytics and Research, True Corporation, Thailand

Amit Panda, Head of Analytics COE (Center of Experience), XL Axiata, Indonesia

  • and many more’.
+ Add to Google Calendar+ Add to iCalendar

Tags: Big Data big data accountability big data analyst big data analytics Big data best practice big data blog big data characteris telecoms

Primary Sidebar

E-mail Newsletter

Sign up to receive email updates daily and to hear what's going on with us!

Publish
AN Article
Submit
a press release
List
AN Event
Create
A Job Post

Related Articles

Top 5 Factors Behind Data Analytics Costs

July 1, 2022 By Terry Wilson

Data Backup Best Practices and Strategies for MSPs

June 28, 2022 By Alex Tray

The Right Way to Measure ROI on Data Quality

June 27, 2022 By Barr Moses

Related Jobs

  • Big Data Scientist | Manchester, GB - July 03, 2022
  • Data Engineer – Telecommute | San Jose, CA, USA - July 03, 2022
  • Data Engineer – Telecommute | Philadelphia County, PA, USA - July 03, 2022
More Jobs

Tags

AI Amazon analytics application Artificial Intelligence AWS benefits BI Big Data business Cloud company Covid-19 customer Data design development DevOps engineer engineering environment experience future government Group health information Java knowledge mobile news platform public research security services share skills social software software engineer solutions Systems technical technology

Related Events

  • Big Data Conference Europe 2022 - November 23, 2022
  • Nordic Data Science And Machine Learning Summit | Birger Jarl Hotel - November 22, 2022
  • Digital Manufacturing Week | Liverpool Exhibition Centre - November 14, 2022
More events

Footer


Datafloq is the one-stop source for big data, blockchain and artificial intelligence. We offer information, insights and opportunities to drive innovation with emerging technologies.

  • Facebook
  • LinkedIn
  • RSS
  • Twitter

Recent

  • Top 5 Factors Behind Data Analytics Costs
  • How to Deploy a Simple Master Slave Kubernetes Cluster on AWS Using Ubuntu
  • Top 10 Kubernetes Use Cases for 2022 That You Should Know
  • Top 6 Futuristic Cloud-Native Technologies to Watch Out For
  • RPA in Insurance: Your Ultimate Guide

Search

Tags

AI Amazon analytics application Artificial Intelligence AWS benefits BI Big Data business Cloud company Covid-19 customer Data design development DevOps engineer engineering environment experience future government Group health information Java knowledge mobile news platform public research security services share skills social software software engineer solutions Systems technical technology

Copyright © 2022 Datafloq
Privacy|Terms|Cookies

In order to optimize the website and to continuously improve Datafloq, we use cookies. For more information click here.

settings

Dear visitor,
Thank you for visiting Datafloq. If you find our content interesting, please subscribe to our weekly newsletter:

Did you know that you can publish job posts for free on Datafloq? You can start immediately and find the best candidates for free! Click here to get started.

Not Now Subscribe

Thanks for visiting Datafloq
If you enjoyed our content on emerging technologies, why not subscribe to our weekly newsletter to receive the latest news straight into your mailbox?

Subscribe

No thanks

Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.

Necessary Cookies

Strictly Necessary Cookie should be enabled at all times so that we can save your preferences for cookie settings.

If you disable this cookie, we will not be able to save your preferences. This means that every time you visit this website you will need to enable or disable cookies again.

Marketing cookies

This website uses Google Analytics to collect anonymous information such as the number of visitors to the site, and the most popular pages.

Keeping this cookie enabled helps us to improve our website.

Please enable Strictly Necessary Cookies first so that we can save your preferences!