Demand

The modern information technology environment generates massive amounts of data (often referred to as "Big Data" from transactions, business interactions, social exchanges and sensors. With continued innovation revolving around digital technologies, the Internet and mobile computing, the amount of data continues to grow exponentially. At this rate, there will soon be a shortage of talented analysts who can help organizations work with this much big data. McKinsey Global Institute’s Big data: The next frontier for innovation, competition, and productivity estimates that 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.” Learn more about demand.

EXPERTS who had undergone quality training in Business Analytics will help develop the deep quantitative capabilities and technical expertise to create business and social value by extracting useful insights and applying them in a variety of career settings, as illustrated by The Age of Big Data, in The New York Times. Some application areas include market basket analysis, consumer behavior, social network and sentiment analysis, recommendation systems, fraud and crime detection, healthcare delivery, healthcare fraud, health sciences (e.g. genomics), supply chain, finance, cyber security, libraries and network security. Companies like Walmart, HP, Deloitte Consulting, and Chevron, all of whom are heavy users of data analytics, have expressed an interest in hiring to meet this need.

The Right Training

The Konnectedx.com 6 weekends offline training class in Lagos mainland will provides a strong foundation in data analytics by bringing together a diverse body of knowledge from applied statistics, Churn Analayis, fraud detection, consumer behavior, risk management, operations research and decision theory. Instructor will use this training to solve real problems in finance, marketing, accounting, and scientific applications.

Components of Business Analytics

1. Descriptive analytics

•Communicates the hidden facts and trends in the data
•Simple analysis of data can lead to business practices that result in financial rewards
•Helps SMEs uncover inefficiencies and eliminate them

2. Predictive analytics

•Predicts the probability of occurrence of a future event
•Helps organizations to plan their future course of action
•Most frequently used type of analytics across several industries

3. Prescriptive analytics


•Assists users in finding the optimal solution to a problem
•In most cases, provides an optimal solution/decision to the problem
•Inventory management is one of the problems that are most frequently addressed.

All these three component of Business Analytics will be well discussed using real time data

for more details visit: www.konnectedx.org or call: 08067096726