Welcome to the Age of Big Data

Transcription

1 Welcome to the Age of Big Data

2 Data are becoming the new raw material of business THE ECONOMIST Our world is flooding with data. Disruptive technologies such as social networks, mobile devices, and the Internet of Things generate vast quantities of data data that can hold enormous value, but only if we learn to think about it and process it in ways we never have before. Rapid technological advances offer us, for the first time, the ability to mine enormous datasets and thereby discover subtle or unexpected patterns that would never be caught by traditional analysis. However, these technologies do not work on their own. Rather, we must learn how to ask the right questions and how to instruct our computational resources how to solve them. If we wish to unlock the value of Big Data, the way we think, interact, and do business must change. The sources of data in a modern business are manifold every operational component of an organization, including marketing, human resources, sales, information technology, and research, produces its own trove of data. The efficient coordination of these departments is crucial to a business s success. By deriving insights that link these disparate sources, an organization can become better coordinated in its operations and more efficient with its resources. SHORTAGE OF 140,000 TO190,000 PEOPLE WITH DEEP ANALYTICAL SKILLS Big data analytics is the process of collecting, organizing, and analyzing large sets of data to discover patterns that lead to greater understanding and betterinformed decisions. The responsibility of performing this analysis is given to a new profession: the data scientist. Data scientists require expertise in programming and advanced mathematics as well as the judgement to determine what is real and what matters to an organization. A data scientist leads a team of data professionals who work together to determine key trends in the operations of a business. Big Data is therefore the information asset of the 21st century. With proper analysis, it can lead to more insights, better decisions, and smarter processes. Big Data doesn t just allow us to see more, it allows us to see new, it allows us to see better, and it allows us to see different. There will be a shortage of talent necessary for organizations to take advantage of big data. By 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions. MCKINSEY S BUSINESS OFFICE

3 With loads of Data you will find relationships that aren t real. Big Data isn t about bits, it s about talent. FORBES MAGAZINE The Center of Applied is ASEAN s first, and only, comprehensive training institution. Hubbed in Malaysia, this unique center integrates learning, networking, and professional growth. As data missionaries, our calling lies in identifying, incubating, and championing a new generation of data professionals to meet the needs of our digitally-disrupted world. RESEARCH MARKETING ORGANISATION INFORMATION BIG INSIGHT HUMAN RESOURCES SALES R&D HOW BIG WORKS BIG PROCESS Endorsed by MDEC and the Malaysian government, TheCADS is at the nexus of a highly collaborative Data Science ecosystem. Our programs are developed by education leaders such as Harvard Business School and The Data Incubator, led by Dr. Michael Li, which is at the cutting-edge of the analytics revolution. We continually work to foster this network of data entrepreneurs and professionals and to seek new partnerships with thought leaders around the world. We are technology agnostic: we believe in being entirely vendor-independent, and we promote Open Source and Open Data. Through a rigorous accelerated learning program, we transform talented students into world-class analyticsbased data professionals armed with algorithmic skills and deep domain knowledge. THE CADS LEARNING ROADMAP We want to build a community of Data Scientists who will be able to rise to the challenge of Big Data THE CADS LEARNING ROADMAP COLLECTING ORGANIZING ANALYZING BETTER COORDINATED ORGANIZATION EFFICIENT IN RESOURCES GREATER UNDERSTANDING BETTER DECISIONS Following our carefully crafted Learning Roadmap, which is focused on developing highly-valued, industry-relevant expertise, our graduates develop the necessary skills to wield the techniques of Big Data and solve serious business challenges. FUNCTIONAL LEARNING INDUSTRY USE CASE DRIVEN LEARNING SOLUTION STRATEGY & ROADMAP ANALYTICS USER EXPERIENCE R TECHNICAL LEARNING INDUSTRY USE CASE DRIVEN LEARNING SOLUTION PYTHON MACHINE LEARNING ENTERPRISE BIG ENABLING TECHNOLOGIES Our learning programs produces top-quality Data Professionals and Data Scientists who are innovative, idealistic, and entrepreneurial. Problem Statement Business Needs & Challenges Business Impacts & Benefits Data Governance Data Source & Data Format Enterprise Data Science vs. Enterprise Predictive Advanced Analytics Data Visualization Self Servicing & Data Analytics Problem Statement Business Needs & Challenges Business Impacts & Benefits Architecture Core Components Enterprise Data Science vs. Enterprise Predictive Advanced Analytics Data Visualization Self Servicing & Data Analytics Cloud SAP Analytics Tools Oracle Analytics Tools Methodology Data Modeling Techniques Insights & Improved Decision Making Methodology On Analytics on R Insights & Improved Decision Making Open source Option & PMO Plan Data Integration Analytics Development on Desktop, Mobile & Cloud Option & PMO Plan Application On Analytics on Python Development on Desktop, Mobile & Cloud Deliverables & Milestones Big Data Management Leading Practices Analytics Leading Practices OCM & Training Deliverables & Milestones Ecosystem & Total Cost of Ownership Analytics on Natural Language Processing Change Management & Training OUR ENTERPRISE PLATFORM DIGITAL LAB ( + SAP HANA + ORACLE 12C + ANALYTICS TOOLS + OPEN SOURCE TECHNOLOGIES) OUR ENTERPRISE PLATFORM DIGITAL LAB ( + SAP HANA + ORACLE 12C + ANALYTICS TOOLS + OPEN SOURCE TECHNOLOGIES)

4 Our rigorous expert mentorship is designed to cultivate exceptional data professionals so they can contribute exponentially, and maximize their value to their organizations. For the exceptionally talented, we also provide a scholarship program to nurture them to fulfil their potential in. In order to ensure the best quality learning experience, we are establishing a state-of-the-art R&D Lab environment a Center of Excellence that we at TheCADS are uniquely able to provide. We provide a series of challenging and practical hands-on projects which hone the student s practical skills. Partner companies will also be invited to propose their own Big Data challenges for their employees to solve under the guidance of TheCADS faculty. Combining expert mentorship and access to powerful computing infrastructure, this facility will have the capacity to serve the industry s rapidly growing needs whether that means better understanding trends, increasing corporate revenue and competitivity, or breaking new ground. TRAINING ANALYTICS Enterprise Predictive Analytics Advanced Analytics Data Discovery Interactive Analytics Self Servicing and Ad-Hoc Query Dashboards and Data Visualization Scenario Analytics Business Insights Enterprise Reporting Management Reporting Operational Insights Planning and Forecasting BIG CENTER OF EXCELLENCE TOP TALENT READY TO-GO PLATFORM LEADING PRACTICES BIG COE BIG ADVISORY TOOLS & PRE- PACKAGED INDUSTRY SOLUTIONS Data Governance Data Quality Data Profiling Data Enrichment Data Integration Data Mapping Data Transformations TOOLS Are you ready to disrupt, or will you be disrupted? COMPUTER DOMAIN ORGANIZATION KNOWLEDGE SCIENTIST MATHEMATICS Digital Quotient is a measure of a business s digital maturity, its speed to market, growth, and above all, its adaptability to a rapidly evolving technological world. At the core of any effective digital strategy lies the data professional: an Enterprise Data Scientist. At TheCADS, all our programs are intensive boot-camps that prepare those with marked talent and potential to work as data scientists. It identifies talented individuals who already have the 90% difficult-to-learn skills and equips them with the last 10%: the tools and technology stack that make them self-sufficient, productive contributors to their organizations. Through examples, hands-on case studies, and group discussions, participants learn how organizations are using Big Data effectively in fields such as marketing, retail, government, and healthcare. The programs also guides participants to apply these concepts in the context of their own organizations (e.g. by identifying Big Data solutions, brainstorming data sources, and designing experiments to appropriately collect and analyze data) so that they can start creating new value right away.

5 The Center of Applied Sdn Bhd U (FORMERLY KNOWN AS IBIG MAXE APPLIED SCIENCE CENTER SDN BHD) B-19-3, Level 19, Tower B Northpoint Offices, Mid Valley City No. 1, Medan Syed Putra Utara Kuala Lumpur, Malaysia T