Whether your customers are business enterprises or end users; focus should be to cater to your customer. A Gartner research reports that by 2020, the customers will manage 85% of their relationships with an enterprise without interacting with a human. So we have to re-think and innovate our service models. The innovative service models will be based on latest technology developments including IoT.
Month: September 2015
Potency of Test Automation in long run
Companies design and develop software in order to solve the routine human issues with a potent blend of technology and human intelligence. It is very much essential that the software is tested in order to bring assurance that it works as expected. Moreover, it is that testing is efficient, quick and economical as well.
Software Testing & its Myths
As I began putting across my perspective on Software Testing, I found below Quotes quite interesting and relevant to the post:
“Software testers do not make software; they only make them better.”
“Testers don’t break software, software is already broken.”
How organizations can adopt new & emerging technologies effectively?
The technology is evolving at a fast pace, following Moore’s Law of increasing the capacity and speed of the microprocessors every two years. Today customers acknowledge and appreciate companies who stay abreast & upbeat about the latest developments. Innovation is the key growth driver for any organization, which plans to develop itself in today’s world. But they also need to consider the financial aspects i.e. the costs involved in the process.
Big Data for the Insurance Sector
Insurance Sector is expected to double the total premium income in next four years. Indian life insurance market, largest in the world in terms of polices is expected to grow at a pace of 12-15% in the next five years. This generates enormous data about the customers’ behavioural patterns and other aspects of the business. In order to expand and grab a bigger market share the insurers will be required to adopt new methodologies to understand the market dynamics. Big Data analytics can serve the industry requirements of harnessing and harvesting the data available for business decisions.
