The concept of a "data-driven company" is widely promoted and discussed today. Are executives looking to invest in analytics and see an added value? Do many decision makers first analyze whether this investment simply pays off? This article is the first in a series on the practical application of analytics
It’s only been three years since Gartner coined the term “hyperautomation.” But a lot has changed since then, both in global events and technological developments. While automation has a long history, it’s evolved rapidly in the digital age. Businesses in every sector – including warehousing, health care, banking, agriculture, insurance,
Why are some companies just so much better at customer experience? Last week’s #SASchat explored the defining characteristics of CX champions. As a member of the Global Practice Customer Intelligence team, I found this to be a very interesting discussion, and I certainly learned a lot. Here are my key
Traditionally, banks have been seen as the front line in anti-money laundering activity. They have increasingly been subject to regulatory requirements to check customers, transactions and activity. However, as governments have required banks to make fraudulent activity harder, criminals have evolved their tactics. And the financial sector needs to keep
I was recently told that an organization had tried to implement AI for forecasting in supply chain but had failed due to poor data. This got me thinking about exactly what the impacts of poor data would be. And whether the approaches I had applied elsewhere could help. It's probably
Gartner first openly used the term "hyperautomation" in 2019. But what is it? How will it benefit your organization? And what are we hyperautomating? In this post, I discuss what we are hyperautomating and how the convergence of technology and decision maturity made it possible. If you are still curious about
This blog post was written by Dr. Maryam S. Jaffer, Director Data and Statistics, Emirates Health Services; Dr. Bashar Balish, Senior Director, Cerner; and Michel Ghorayeb, UAE Managing Director, SAS. The future of health care has never been more exciting. Artificial intelligence (AI) and data analytics have captured center stage
When I started working at SAS in 2005, one of the most popular ways to use SAS software was the SAS Analytics Pro bundle on SAS®9. And why not? It provided all the analytics power of trusty SAS Display Manager coupled with the elegance and ease of use of SAS®
Money laundering is a growing threat within the insurance industry. The regulatory framework within banking is adding stronger controls and governance processes which will encourage launderers to seek alternative areas to launder funds. While insurance presents a different type of Anti-Money Laundering (AML) risk, the risks still exist. Long considered
The fight against fraud and money laundering is an ongoing one. Fraudsters move fast to stay ahead of their targets, and it is hard for organizations to keep on top of the situation. New regulations have recently targeted anti-money laundering as a way to prevent terrorist financing and tax avoidance
