Friday the 13th’s Most “Hateful” Big Data Stories
The sixth day of the week and the number 13 both have creepy reputations said to date from ancient times, and their inevitable conjunction from one to three times a year portends more misfortune than some credulous minds can bear. According to phobia specialist Dr. Donald Dossey, it’s the most widespread superstition in the United States today. Some people refuse to go to work on Friday the 13th; some won’t dine in restaurants; many wouldn’t think of setting a wedding on that date.
Towards Friday the 13th of March upcoming tomorrow, we decided to compile, in this week’s round up, various “hateful” big data stories, if you will.
Read on to discover more about the attitudes killing big data projects, the big data bandwagon and why some of us simply “hate” big data.
1. Business Leaders Say Big Data is Having a ‘Disruptive’ Effect on Their Business
By Antony Savvas, published on Techworld
A Capgemini and EMC report surveyed over 1,000 C-suite and senior decision makers across 12 countries to understand the need and enterprise readiness for big data adoption. The report found that two-thirds (65 percent) of business leaders acknowledged they are at risk of becoming “uncompetitive” unless they embrace new data analytics solutions. Find out more about the study.
2. 7 Attitudes That Kill Big Data Projects
By Bernard Marr, published on Forbes
In Marr’s experience, there are two types of companies when it comes to big data: those who don’t want anything to do with it (because they think it’s for somebody else) and those who desperately want to implement, but don’t know where to start. In his opinion, there are several attitudes that can kill a big data project quite efficiently. And so, identifying and neutralizing these behaviors is key to getting a project off the ground and into implementation.
3. I Hate Big Data
By Stephen Brobst, published on Forbes
Brobst hates the term big data mainly because it implies that size is the interesting aspect of big data. Data volume has been exploding for decades. Big data has many interesting aspects, but in his opinion bigness isn’t one of them. Find out why ETL and big storage require creative solutions.
4. From the Cricket Pitch to Politics, the Big Data Bandwagon Rolls On
By Iain Martin, published on Financial Times
The coach of the English cricket team was recently asked about his crew early ejection from the World Cup. When challenged to explain his shocking defeat coach Moores said: “We’ll have to look at the data.” With that Moores did what is so common today. He fell back on the data as though the numbers must contain the answer to human failings from cricket pitch to politics. Read on to discover why sometimes, data can not entirely replace judgment and leadership.
5. 5 Mistakes When Automating Pharma Analytics
Published on Verix Blog
How tempting is it to sit back and enjoy while our programmed business processes and analyses are automated to just… do their magic! Automation is indeed a significant factor of every good analytics solution, and constitutes the future of Pharma analytics all together. But let’s hold our horses for a minute there, and consider the potential risk of separating the actual users from the analytical process.
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