Indian banks are not leveraging digital technologies as they should

I have bank accounts in couple of leading Indian banks for over 15 years and till date none of these banks have tried to cross sell a single product to me.
1) They have never inquired or tried to sell me an insurance
2) They have never given me advice on how to invest money lying in my saving account
3) They have never tried to sell me other banking products like MIP, FD, car & Personal loans

In short the bank are spending big money to increase their customer base but they not utilizing their existing customer data to cross sell their other products to their loyal customer. Is that because banks are so focused on locating the forest that they are missing the trees? Bankers expert in core business so not have access to smart technology brains who can help them implement cross channel sales? Or are they so bogged down managing existing set of technology systems that they do not dare to venture into developing platforms to enable cross selling?

To give an example, when I wanted a Unit Linked Insurance Product I had to do market research and finally I ended buying a product from the bank that I bank with. I was surprised that the bank that sends 10s of mails a day did not think that 'Their Privilege Saving Bank Customer' would also need insurance products or other saving products that are offered by the bank. They did not consider that if they do not cross sell than they will lose the customer to their competition? May be the Indian banks are happy with the money they are making from my saving account or maybe they are just lazy to analyse my credit history to find if I have any money lying around that can be put to good use or maybe they don't care about growing my money (which they should).

Banks & their associates should understand that there are 3 negatives of not doing customer analysis

1) Bank or Insurance companies are not selling products to the customer who already have faith in their company
2) It is poor customer service if the bank does not reach out to the consumer to educate and guide them in investing their money and their is added risk of losing customer to another bank that provides such services
3) The bank is spending tons of money to find new customer and set new branches to increase their business and customer base but not tapping the existing customer base which is poor business strategy.

I did not get a chance to work with Indian bank in last 14 years but I would like to sit with the CEO's of these banks and understand why they are not using the customer data in a smarter way and to correct the 3 negatives I have mentioned above. Cross selling is a win-win for all parties and it can give birth to some innovative products and schemes. For example I have often wondered if I had bought an insurance product from my bank would they offer me, 'their loyal customer of 15 years' some benefits or free-bees like free accident rider or critical illness rider or maybe lower premium as compared to non-banking customer? Wishful thinking, Bottom line when banks use their data smartly everyone will benefit  - the banks, their insurance wings, their investment wings, their associate companies as well as their customers. Let me tweet Chanda Kochhar & Aditya Puri and may be they will offer me a position in their strategy team!

Did you know that your car dealers are using Big Data to sell you a car?

Today customers interact with a brand through a variety of channels - from mobile, e-commerce, social media, digital ads to email campaigns. By analyzing customer interaction data across all channels company can turns leads into customers. Big data gives you the insights that are key to optimizing campaigns and targeting customers.
                                                                                      A potential car buyer does web search , gets quotes from websites and reads reviews on internet before buying a car and many auto companies have started using this data to identify their potential customers. You should not be surprised to get a call from a car dealer who knows more about the car you own then you would have remembered.
               Dealers are already designing strategies to target customers from the big-data that is available to them. So before you start thinking of selling the old car you get a call from dealer who explains why you need to change your car and what new features of the latest car  model are missing in your car. Dealers know service history of your 1st car , they know what was the last time you services the car and they also know what accessories you have bought for your car in last 5/10 years, they know how much money you have spent on your car since you bought it and finally they know or shall we say they can predict the next car you are likely to buy.
The auto dealers & insurance companies may not be using Hadoop yet but they sure know how to use the bigger data to sell more cars

Smart Tracking Dashboard - Using technology to monitor, trace and predict terrorist activities

While we mourn the tragic terrorist attack in Paris I wonder what technologies are used by governments and intelligence agencies to guard the country against anti-social and terrorist elements. We wonder what kind of intelligence information is shared by security agencies within the country & with with friendly countries? We wonder if GPS and Mobile CDR data is used to monitor suspicious individuals and known links and also to identify the localities frequented by criminal elements. Terrorist do not appear out of thin air, they live in apartments, they frequent the target areas to plan attacks and they carry cellphones.  By use of software and intelligence it should be easy to predict and prevent attacks like Mumbai & Paris.

One idea is that security agencies of each city can create a 'Smart Tracking Dashboard' that shows all new mobile numbers that 'ENTER' the city on given day (This data can be filtered from the Call Data Record).  New mobile or IMEI numbers would indicate people who are outsiders and monitoring movement of such mobile near high security area & sensitive locations would help security agencies identify any pattern which would help them focus on certain individuals who may have to be investigated or questioned in order to prevent any incident. To give an example David Hadley was carrying a US mobile and did a recce of all areas that were later targeted by the 26/11 terrorist. A proactive monitoring would have helped the police identify a pattern that "tourist  A has been visiting some sensitive locations multiple time over a period of days" which is unlike a normal tourist who would only visit the location once. This is just a simple example but there are multiple events that can be built into the software system by defining a set of events that need to be monitored. What we get is a Smart Tracking Dashboard.
 
The next important thing apart from building Smart Dashboards is to built a system that enables sharing intelligence across Departments & agencies in Real Time. This will remains to be the critical aspect of predicting and preventing threat elements from causing harm to society. Wider intelligence data will enable better predictions of threats within the country and across friendly countries. 

Key takeways for our security agencies

1) If there are people who are suspected of terrorist activities or sympathizers of certain terror groups then security agencies will have to use IMEI and mobile data to monitor their movement and activities using sophisticated , smart and self learning software 

2) Today no country has an option of not monitoring terror suspects for what ever reasons and lawys have to be modified to allow surveillance  

3) Global terrorism mandates intelligence sharing across countries. If a 'suspected or known terrorist' leaves country A to visit country B, then there should be proactive notifications sent to country B so that they can be monitored, Many incidents cab be prevented if we have smarter way to monitor the city.

How to SPEEDUP your Android Studio ?

Here are some quick trips that I have tried to speed up Android Studio on my Windows 8.1 Laptop. I hope you have a laptop with 4GB RAM because that is recommended.

1) Un-Comment  (if there are commented) or if they are missing then add these 2 lines to the project gradle.properties file (See image below)

org.gradle.parallel=trueorg.gradle.configureondemand=false 

2) Add these 2 line to the gradle properties file at the location - C:\Users\DataScience\.gradle where 'DataScience' is the user that I have logged in with to my Windows machine. If your Windows user is Jim then the path for you should be C:\Users\Jim\.gradle

3) In android studio, you can enable offline work to make android studio run faster. To enable offline in android studio, just follow following step.  In Android Studio, go to file >> setting and click Compiler from side menu and then type --offline in the command-line options box and hit OK button like this: