Featured post

3 Top Books Every Analytics Engineer to Read

Many of the analytics jobs nowadays are for the financial domain. The top financial domains are Banking, Payments, and credit cards. 
The Best Books are on:
SASUNIXPython

The skills you need to work in data analytics are SAS, UNIX, Python, and JavaScript.  I have selected three books for beginners of data analysts. 

1. SAS best book 
I found one best book that is little SAS. This post covers almost all examples and critical macros you need for your job.

The best-selling Little SAS Book just got even better. Readers worldwide study this easy-to-follow book to help them learn the basics of SAS programming.

Now Rebecca Ottesen has teamed up with the original authors, Lora Delwiche, and Susan Slaughter, to provide a new way to challenge and improve your SAS skills through thought-provoking questions, exercises, and projects.
2. UNIX best book
The basic commands you will get everywhere. The way of executing Macros or shell scripts is really you need. This is a good book so that you can automate…

New Directions for Digital Products (1 of 2)

We already crossed Agriculture, Industrial, Information age. Now we are in digitization age. Many companies investing huge money in digitization.
digital technologies
  • Mphasis - is betting on the digitization of Financial institutions
  • Tech Mahindra - started research on Heath care digitization
  • Infosys - focusing on Automation and artificial intelligence
  • TCS - focussing on Machine learning
  • WIPRO - is focusing on Big data and Hadoop

What is digitization

  • What we mean by digital. Digital data is distinguished from analog data in that the datum is represented in discrete, discontinuous values, rather than the continuous, wavelike values of analog. Thus, the digitization of data refers to the conversion of information into binary code, allowing for more efficient transmission and storage of data.
  • A key differentiator of our current age from prior human history is that, as of the last decade, we not only convert data to a digital format, but we also create data in a digital format. Thus, we now have the digital product, a concept defined by Scupola (2005) as "a product whose complete value chain can be implemented with the use of electronic networks. It can be produced and distributed electronically, and paid for electronically". 
  • Since its inception, the Internet has continued to change the game for IT and allows business to meet today's "qualitative and quantitative diversification of demand". 
  • Once hidden behind corporate walls and offering immense competitive advantages that could be leveraged into profitability, technology is now openly accessible on the Internet. 
  • Competitors--even small start-ups--can adopt it and level the playing field. As a result, technology itself no longer offers a competitive advantage and higher profit. Instead, the way it is applied to or combined with new information or technologies (i.e., the network effect) creates advantage and profitability. 

Internet

  • Not surprisingly, the same evolution has occurred with digital products, as they are the result of the application of technology. 
  • The Internet now makes the production and distribution of digital products available to a wide audience, whether regulated or not. "We have all become potential publishers". The material we publish may be our original work, a copy of someone else's work, or a combination of the two with virtually no formal quality control.

Insights to develop digital products:

  1. Digital products from a Resource Perspective 
  2. Value Creation in Production and Distribution 
  3. Integrating User-generated Content (UGC) 
  4. Quality Assessment and User Perceptions 
  5. Regulation and Monetization

Comments

Popular posts from this blog

AWS Vs Azure Load Balancers Top Insights

Hyperledger Fabric: 20 Real Interview Questions

10 Best Visualization Charts to Present data

JavaScript Vs JSON Top Differences