5 Big Data Articles to Top Off Your Week
National Diabetes Month is observed every November to draw attention to diabetes and its effects on millions of Americans. This year’s theme “Diabetes Education and Support: Everyone Has a Role. What’s Your’s?” highlights the need for ongoing diabetes education and support among people with diabetes and those who care for them. Surprisingly enough, we could not find much attention to the topic in the Pharma/Healthcare press and social media and it may be that we need a new big pile of ice bucket challenge to raise attention to one of the leading causes of disability and death in the United States.
What did make top of news this week? Other than drug price wars, the topic of big data took the headlines with a furry of articles, noticeably interesting insights from Salesforce Research. Taking into account that business analytics will reshape and disrupt industries and, particularly, the financial services sector, healthcare and the IoT movement, we recommend giving the findings careful attention.
1. Salesforce Research Defines The 2015 State Of Analytics
By Louis Columbus, published on Forbes
A recent study by Salesforce Research, “2015 State of Analytics”, generated over 2000 responses regarding the state of the analytics industry and its influence on enterprises in the upcoming years. Insights regarding the accelerated number of data sources, the perception of importance of analytics by enterprise leaders and the crucial uses analytics provide for driving operational efficiencies and facilitating growth are just a few examples of the pivotal data this review provides.
2. Why the Time Is Ripe For Analytics in The Cloud
By Marc Clark, published on Forbes
According to Forrester, most organizations are using less than 20% of the data they have. This can be acclaimed to the growing amounts of data from various data sources in recent years. However, the discarded 80% contain valuable customer information. When properly stored and analyzed, it can result in competitive advantage and increased revenue. According to Marc Clark, the key to utilizing information lies in using cloud service analytics, which provides businesses the agility to respond to market needs, with unlimited scale, compatible to business size and requirements. Read on to discover how analytics in the cloud can improve your business results.
3. 20 Stupid Claims About Big Data
By Bernard Marr, published on Linkedin
Ever since the term “big data” has become entrenched in practically every industry’s conversation, there seems to be some growing misconceptions about the phenomena. In this amusing, yet important piece, Bernard Marr sheds light on some of the prominent issues such as, “Every problem is a big data problem” and “Big data can overcome human bias”, and, clearly, explains which are partially true and which simply don’t hold water.
4. 4 Questions You Should Ask Yourself Before You Implement Any Big Data Strategy
By Ronald van Loon, published on Linkedin
As stated in the previous article, big data is not just for big businesses; rather, it can be useful for all shapes and sizes. Therefore, practically every business needs a big data strategy that will support its objectives and improve the bottom line. This article provides you with the four basic questions every business must ask to create an effective big data strategy.
5. New Data Tools Offer Hope To Patients
By Deb Donston-Miller, published on Forbes
It is widespread knowledge that new drug/treatment development is a lengthy and costly process, one which compels some patients to wait years and years for a cure. However, developments in the field of data collection and analytics may very well be the catalyst for this lengthy process and savior of millions. According to Steve Rosenberg, senior VP and GM of Oracle Health Sciences, three elements are contributing to this development: the fidelity of available data, falling prices of genome mapping and volume of data collected from wearable devices. All of these drive Pharma companies to develop better, even more personalized medicine in a much faster pace – thanks to data.