AI is handling insurance claims and basic bookkeeping, maintaining investment portfolios, doing preliminary HR tasks, and performing extensive legal research and lot more. So, do humans stand a chance against the automation apocalypse, where everything, almost everything will be controlled by robots?
What do you think? You might be worried about your future job opportunities and universal basic income, but I would ask you to draw a clearer picture about this competing theory – because, in the end, this question might not even be a plausible and completely valid question. Why, I will tell you now.
Televisory, a start-up based out of India and Singapore, has launched its data analytics and operational benchmarking platform. The platform can measure real-time operational and financial performance of companies. While the firm has chosen to launch its platform from the US, its services are available globally.
The internet has killed some newspapers’ lunch, but it also presented them something truly remarkable – Data Journalism.
Introducing Data Journalism
Data journalism is an amalgamation of a nosy reporter’s news sniffing capabilities and a statistician’s fondness for data analysis. By scrounging through vast amounts of data sets that are available through extensive connectivity, data journalists are using this data to etch out interesting stories.
The fascinating world of Business Intelligence is expanding. The role of data scientists is evolving. The mysticism associated with data analytics is breaking off, making a way for non-technical background people to understand and dig deeper into the nuances and metrics of data science.
“Data democratization is about creating an environment where every person who can use data to make better decisions, has access to the data they need when they need it,” says Amir Orad, CEO of BI software company Sisense. Data is not to be limited only in the hands of data scientists, employees throughout the organization should have easy access to data, as and when required.
Big Data is mentioned everywhere, but what is not mentioned is the women who have made Big Data so fetching and widely popular. Though women contribute to half the population, yet their contribution to Big Data’s success is hardly spoken of. Don’t you think they deserve better? Don’t you think they are often underestimated?
International Women’s day, celebrated on 8th March, is right here knocking at the door! So, let’s remember and appreciate the contributions by women, past and present. Here is a comprehensive list of eight influential women who made Big Data bigger in the field of data science and on this remarkable global day, we give a standing ovation to the Big ladies of Big Data.
Tax officials are tightening up their ropes with improved Big Data analytics to crack a whip on hoarders of black money.
Under the bill for amending Section 115BBE of the Income Tax Act, transactions with unexplained deposits in banks will be taxed.
As per this amendment, tax officials can now tax people on such deposits at a rate of 60 percent (cess additional) as opposed to the previously determined 30 percent.
This new tax law is applicable from the 1st of April, starting this year!
Cracking a Whip on Black Money Hoarders With Data Anaytics
How are the Income Tax officials leveraging Big Data Analytics to curb black money?
Here are the simple signals that showcase a rise of Big data analytics use and a more planned crack down on Black Money hoarding:
The IT department is now increasingly becoming tech savvy, it is now making use of analytics tools to assess the personal bank deposits for an improved black money crack down action plan.
The income tax officials are making use of Big Data analytics tools for the first time ever done in the history of the Indian economy, to further maintain a hawk’s eye affixed on the target of bringing down black money.
This is a new venture and earlier such advanced tools were only employed on corporate tax assessments.
In this blog post, we will discuss on the approach we can follow to provide an actionable analytics. Doing actionable analytics is not easier said than done. It requires a focused analytical process. Here we will outline the three important phase or levers that can improve the process of delivering actionable analytics. The three phases can help you to improve the financial aspects of the business by doing actionable analytics.
For example, if we are delivering actionable analytics for the marketing function. In each phase we will identify some critical characteristics or parameters that are going to influence the financial value directly or indirectly.
(Decode big data analytics and its relevance in today’s business scenario)
Businesses are getting increasingly competitive, and thanks to the connected community through multiple devices. The way people are shopping or looking for products or solutions has undergone a paradigm shift. We are living in a changed world in terms of the way technology intersects almost all aspects of business, notwithstanding the size and scale.