Inside the Briefcase

Augmented Reality Analytics: Transforming Data Visualization

Augmented Reality Analytics: Transforming Data Visualization

Tweet Augmented reality is transforming how data is visualized... Membership! Membership!

Tweet Register as an member to unlock exclusive...

Women in Tech Boston

Women in Tech Boston

Hear from an industry analyst and a Fortinet customer...

IT Briefcase Interview: Simplicity, Security, and Scale – The Future for MSPs

IT Briefcase Interview: Simplicity, Security, and Scale – The Future for MSPs

In this interview, JumpCloud’s Antoine Jebara, co-founder and GM...

Tips And Tricks On Getting The Most Out of VPN Services

Tips And Tricks On Getting The Most Out of VPN Services

In the wake of restrictions in access to certain...

History of Analytics

September 18, 2012 No Comments

By Rahul Nawab, Academy for Decision Science & Analytics

Educating savvy and business-minded Indians on the importance of numbers and analytics in your business is like teaching the properties of sand to someone in the desert, but here is my effort anyway.

The simplest definition of analytics is “the science of analysis.” However, a practical definition would be how an entity, e.g., a business, arrives at an optimal or realistic decision based on existing data. Business managers may choose to make decisions based on past experiences or rules of thumb, or there might be other qualitative aspects to decision making, but unless data is considered, it would not be an analytical decision-making process.

Analytics have been used in business since the time management exercises that were initiated by Frederick Winslow Taylor in the late 19th century. Henry Ford measured pacing of the assembly line, thus revolutionizing manufacturing. But analytics began to command more attention in the late 1960s when computers were used in decision support systems. Since then, analytics have evolved with the development of enterprise resource planning (ERP) systems, data warehouses, and a wide variety of other hardware and software tools and applications.

Today, businesses of all sizes use analytics. For example, if you ask my fruit vendor why he stopped servicing our road he will tell you that we try to bargain a lot and hence he loses money, but on the street next to mine he has some great customers for whom he provides excellent service. This is the heart of analytics. Our fruit vendor TESTED servicing my street and realized that he is losing money – within one month he stopped servicing us, and even if we ask him, he will not show up. How many businesses today know who their MOST PROFITABLE CUSTOMERS are? Do they know who their MOST COST GENERATING customers are? And given the knowledge of most profitable customers, how should you target your efforts to ACQUIRE the MOST PROFITABLE customers?

Large business uses analytics to drive the entire organizational strategy. Some examples include:

  • Capital One, a credit card company in the U.S., uses analytics to differentiate customers based on credit risk and they match customer characteristics with appropriate product offerings.
  • Harrah’s Casino, another U.S. company, identified that against popular belief, their most profitable customers are the ones playing slots. To leverage this insight, they have created marketing programs to attract and retain their MOST PROFITABLE CUSTOMERS.
  • NETFLICKS, an online movie service, identifies the most logical movies to recommend based on past behaviour. This model has increased their sales because the movie choices are based on customers’ preferences and therefore the experience is customized to each individual.

Common applications of analytics include the study of business data using statistical analysis to discover and understand historical patterns with an eye to predicting and improving future business performance. Also, some people use the term to denote the use of mathematics in business. Others hold that the field of analytics includes the use of operations research, statistics and probability; however it would be erroneous to limit the field of analytics to only statistics and mathematics.

While the concept is simple and the notion is intuitive, the common leverage of analytics to drive business is just in its infancy.


RahulRahul Nawab is an analyst at heart and by profession. With years of experience in leading and building Analytics teams in Financial Institutions, Rahul understands the practical applications of Analytics. Business strategies created by Rahul have had significant bottom line impact on increasing the profitability of the corporations he has worked for, including a Visa Signature patent for a major Credit Card Company in the USA.

Rahul Nawab has a Masters Degree in Engineering and a Masters degree in Management, both from North Carolina State University (USA).

Rahul Nawab has been a key speaker at various Analytics conferences, both National and International, spanning Asia and the USA including the “World Cards & Payments Summit”, “Annual Middle East Retail Banking Forum” and “Global Gaming Conference”.

Rahul has founded IQR Analytics Consulting ( ), a reputed and sought after Business Analytics Service provider. He is co-founder of Academy for Decision Science & Analytics (ADSA) ( ), an institute close to his heart, where students are trained to deliver results with real-life, practical Analytics techniques and approaches.

Leave a Reply