Days until Automation Days Asia 2022:
Register Now

Big Data

Webinar: Enhancing PPP Performance in Asia Pacific

SEPTEMBER 3, 2020 11:00 AM - 12:00 PM SGT As Public-Private-Partnerships schemes for the procurement of public infrastructure are growing quickly growing in popularity in Asia-Pacific, many governments are faced with the question how to professionalize their PPP Units or PPP Knowledge Hubs. Because of the long-term nature (and corresponding risks) of PPP projects, it is crucial that a sound framework drives the selection, appraisal and tender phases of PPP projects. This requires knowledge and experience of PPP professionals, as well as a sound understanding of the market conditions and financial markets. So how can governments improve their capabilities in a structured and efficient way? In this webinar, Cybiant will provide an overview of their Public-Private-Partnership Maturity Index® (PPPMI). Developed by Cybiant, the PPP Maturity Index uses the CP3P certification as a knowledge base and provides an assessment that measures PPP framework maturity, breaking them down in critical capabilities that are required to improve PPP success. We will showcase which critical capabilities are required, and how they can be translated into structure improvement programs. This webinar is hosted jointly by APMG-International and Cybiant. APMG-International developed the CP3P Certification framework in collaboration with the World Bank. Cybiant was the first accredited PPP training provider in Asia, and has certified hundreds of individuals in PPP Best Practices. [...]

By |2022-01-10T17:10:41+08:00August 4th, 2020|Big Data, News, Webinar|0 Comments

Cybiant to host the first Enterprise Big Data Analyst virtual course

INTRODUCTION What benefits can your organization achieve with Big Data? How to spot patterns in large quantities of enterprise data to improve performance and find underlying pattern that can benefit the organization? How can enterprises obtain a competitive advantage with Big Data? The Enterprise Big Data Analyst (EBDA) course discusses the theoretical concepts of Big Data and subsequently applies this knowledge to a real-world case study. The Big Data Framework provides a holistic and compressive approach for enterprises that aim to leverage the value of data in their organizations. The framework covers all the essential aspects of Big Data that are necessary to understand and analyse massive quantities of data. The Enterprise Big Data Analyst course is the second level of the Big Data Framework course curriculum and certification program, that is globally recognized and accredited by APMG-International. The curriculum provides a vendor-neutral and objective understanding of Big Data architectures, technologies and processes. The Enterprise Big Data Analyst qualification is a practitioner course for all professionals that aim to an in-depth understanding of Big Data analysis techniques and models, core data analysis processes steps, and best practices to retrieve value from data. BENEFITS In this course, you will learn the following: Understand and explain the data analysis process, including all relevant steps included in enterprise big data analysis. Understand the difference and structure of common [...]

By |2020-08-25T14:38:04+08:00April 27th, 2020|Big Data, News|0 Comments

The Next Level of the Enterprise Big Data Framework now available

Great news for the Enterprise Big Data Professional certified professionals! The wait is over, the second level of the Big Data Framework is finally here! The Enterprise Big Data Analyst qualification builds upon the first level of the Big Data Framework qualification scheme Enterprise Big Data Professional® in which fundamental knowledge and elementary concepts related to Big Data were covered. With the EBDA® certification, you can improve your credibility and knowledge in Big Data and take it to the next level. The Enterprise Big Data Analyst is a practitioner course for all professionals that aim to have an in-depth understanding of Big Data analysis techniques and models, core data analysis processes steps, and best practices to retrieve value from data. Recently, many organizations have started to use Big Data solutions to forecast and understand the impact of the pandemic Covid-19. And many businesses are turning to Big Data solutions to make critical decisions. The need for more Big Data professionals is evident. The Enterprise Big Data Analyst (EBDA®) qualification shows that candidates possess the skills to analyze Big Data and are able to understand key data analysis concepts, R Programming language and techniques to correctly interpret data to make better decisions for companies or governments. The Enterprise Big Data Analyst (EBDA®) certification, accredited by APMG international (a global well-established accreditation and certification [...]

By |2022-01-13T16:25:35+08:00April 17th, 2020|Big Data, News|0 Comments

Decision Tree: A powerful and intuitive process to predict churn

Download full case study Decision Tree: A powerful and intuitive process to predict churn (Case Study) There are many techniques available for the analysis of large-scale data. Churn-data of Telco companies can be analysed in various ways. Some focus on understanding the key characteristics of customers who will end their contract in the near future. Others concentrate more on predicting as precisely as possible which customers are expected to churn. The drawback of the second group of methods is that they are often very complex and not easy to follow for people without a data-science background. We believe decision trees fit perfectly in between these two groups. It gives possible to predict churn for large-scale data, with many different attributes. Furthermore, it can be visualized as a tree, which displays very clearly how the is built and how it is used to make predictions. An example of a decision tree for a sample dataset of a Telco company is displayed below. The target variable of this tree is customer churn. The tree can be seen as a kind of flow-chart, you start at the top and follow some questions to end up in a certain bucket at the bottom. The tree could be followed manually, such that each customer could be placed in one of the buckets. The splits in the tree [...]

By |2022-01-13T16:35:22+08:00April 15th, 2020|Big Data, White Paper|0 Comments

New Case Study: Predicting Customer Churn in Power BI

Introduction Modern Telco companies gather lots of data on their customers. Varying from their gender to their monthly payments to the type of contract they have. One aspect that is especially important to keep track of is the group of customers that ends or will end their contract soon. Cybiant can help Telco companies to obtain valuable insights on how to identify customers that are likely to end their contract and to find which factors are indicating such behaviour.  There are two ways this dataset can be used to study contract ends. The first is determining which factors are typical of customers who end their contract, the second is identifying which customers are likely to end their contract. The focus of this article is on the former.  Therefore we built a showcase model with the powerful combination of Power BI and R. We use a sample dataset of the customer-base of a telco company for our analysis. The variable of interest is ‘churn’, which has two values: ”yes” if a customer ended their contract in the last month, and “no” otherwise. There are various different characteristics of customers in the dataset which can be divided in three main categories: services that each customer signed up for, customer account information and demographic information about each customer. Figure 1: Summarizing Customer Data in [...]

By |2022-01-13T16:48:09+08:00March 28th, 2020|Big Data, Power BI|0 Comments

An Introduction to the Hadoop Ecosystem

An Introduction to the Hadoop Ecosystem Everyone who is learning more about Big Data will, within a short period of time, encounter the Hadoop software framework. When I first encountered it, I found the ecosystem (all with highly interesting names) very elaborate, yet at the same time confusing. The many components (or to stick to Apache terminology ‘related projects’) sometimes add to the confusion, because each of the ‘related project’ has different focus or orientation. In this article, I will therefore aim to provide a comprehensive overview of the Hadoop Ecosystem as I have encountered it. Background, History and Objectives of the Apache Hadoop Project Before we start to explore the Hadoop Ecosystem in further detail, it would be good to understand why Hadoop was created? As with all open-source inventions that scale quickly, Hadoop clearly solves a specific problem. So what is the problem that led to the creation of Hadoop? Hadoop was originally created by Doug Cutting and Mike Cafarella in 2005, when they were working on the Nutch Search Engine project. The Nutch Search Engine project is highly extendible and scalable web crawler, used the search and index web pages. In order to search and index the billions of pages that exist on the internet, vast computing resources are required. Instead of relying on (centralized) hardware to deliver high-availability, Cutting and [...]

By |2019-09-27T05:17:23+08:00September 25th, 2019|Big Data|0 Comments


Go to Top