5 Reasons Why Your Enterprise Must Adopt a Culture of Self-Service Analytics
5 Reasons Why Your Enterprise Must Adopt a Culture of Self-Service Analytics If you want something done right, do it yourself – Anonymous. Readers of this blog would have, by now, grasped one fundamental aspect of data analytics – to fully adopt a culture of Self-Service Analytics, an organization needs two elements – people and… Continue reading 5 Reasons Why Your Enterprise Must Adopt a Culture of Self-Service Analytics
How Predictive Analytics is Reshaping the Insurance Industry
How Predictive Analytics is Reshaping the Insurance Industry Predictive Analytics is increasingly becoming the “weapon of choice” of insurance firms and industries. The reasons are many, ease-of-use is one, and the other is because of advances in Artificial Intelligence (AI) and Machine Learning (ML), deployment is easier and faster. Data analytics overall has started to… Continue reading How Predictive Analytics is Reshaping the Insurance Industry
Data Translators: Why are They Important in Analytics
This new breed of professionals are becoming crucial in ensuring that decisions in an organization that has deployed data analytics are really based on the analysis. Many organizations are today investing not only in data scientists who understand how to analyze data, but also in data translators who can help the analytics team and the business end users work in sync.
The Role of Digital Marketers in Mobile Data Analytics
Over the last few years, research after research has shown that marketers have started putting mobile, apps as well as mobile-friendly websites, at the forefront of their integrated marketing strategy. While new research has only underlined the importance of mobile devices in a marketing campaign, what was unexpected was that even on matters of marketing, IT teams seemed to have a leg up over their marketing counterparts.
Healthcare Analytics: Build-Versus-Buy Quandary A Hurdle
The most obvious thing for any Health Care Organization to do is to develop in-house infrastructure to manage its healthcare data. That’s simpler said than done, though. Setting up an Enterprise-grade data warehouse not only involves additional hires, there’s some amount of capital expenditure as well as operational costs involved.
A Simple Guide to Outsourcing Data Analytics in Healthcare
The global healthcare industry, more than any other, suffers from the “data rich but information poor” syndrome. While it finds itself on the brink of a major makeover with the advent of Big Data and analytics, it lags considerably compared to other industries. Many researchers have raised this red flag.
How Natural Language Processing is Helping Democratize Business Intelligence
A minuscule percentage of those in the business of providing BI solutions have adopted NLP and adapted it to generate results for Enterprise clients. While the figure may be small today, advancements in the field are bound to push the number up.