Tag Archives: Big Data

Big Data, IoT and Analytics Events in March




Predictive Analytics Innovation Summit, March 2-3, Melbourne, Australia

Big Data and Analytics Summit, March 2-3, Singapore

Gaming Analytics Summit, March 3-4, London, UK

European Smart Grid Cyber Security, March 7-8, London, UK

Big Data Paris, March 7-8, Paris, France

2nd Global Data Science Conference, March 7-9, Santa Clara, CA

Structure Data, March 9-10, San Francisco, CA

Internet of Things Forum, March 9-10, Cambridge, UK

10th Sloan MIT Sports Analytics Conference, March 11-12, Boston, MA

IEEE International Conference on Big Data Analysis (ICBDA 2016), March 12-14, Hangzhou, China

Gartner Business Intelligence & Analytics Summit, March 14-16, Grapevine, TX

Discovery Summit Europe, March  14-17, Amsterdam, The Netherlands

The Internet of Things Conference, March 14-17, Munich, Germany

Re:Work Connected City Summit, March 16-17, London, UK

HR and Workforce Analytics Summit, March 16-17, London, UK

Data Innovation Summit, March 22, Stockholm, Sweden

Industrial IoT, March 23-24, London, UK

2nd IEEE Conference on Big Data Computing Serivce and Applications, March 29-April 1, Oxford, UK


Users who have LIKED this post:

  • avatar

Future Of Big Data: Business Analytics Begins To Reshape MBA Careers

Written by Seb Murray | Future Of Big Data | Monday 26th October 2015 00:25:00 GMT
Source: http://www.businessbecause.com/news/future-of-big-data/3552/future-of-big-data-analytics-reshapes-mba-careers
Big data is beginning to reshape management. The explosion of business data hoovered up on everything from consumer expenditure to changes in supply chain structure is forcing executives to rethink how they derive insights and develop strategy.

Companies that invest in and gain value from their data will have a distinct advantage over competitors, according to research from EY, and the gap between great and good will widen as emerging technologies which enable faster, easier data analysis continue to develop.

By turning information into intelligence, managers can create market advantages, manage risk, improve controls and, ultimately, enhance operational performance and boost earnings.

It is a sizzling hot topic that every aspiring business leader must consider. Those without the pre-requisite analytical skills sought by sectors like finance and consulting will be at a disadvantage, agrees Mark Kennedy, associate professor of strategy and director of the KPMG Centre for Business Analytics at Imperial College Business School.

“It’s no longer enough to know how to use [Microsoft] Excel very well,” he says.

Big data has created fresh business models like those of Salesforce or SAP and even entire new industries, but it has bombarded its way into virtually every sector, from healthcare and hedge funds to banking and brewing.

“Data and analytics have become part of the fabric of how we do business. It’s almost instrumental,” says Matthew Guest, head of Deloitte’s digital strategy practice for EMEA.

While the ability to capture and store vast amounts of data has grown at a rate of knots, the use of technology to analyze entire data sets has been slower to take root, and there continues to be a worrying skills shortage across sectors.

“Increasingly, we see client[s] make more data-driven decisions and putting analytics at the heart of their businesses,” says Gregor McHardy, managing director and technology consulting lead for Accenture UK and Ireland. “So our teams are increasingly bringing data and analytics skills into project analysis and execution.”


What every hotelier wants to know about ‘big data’ analytics

big data word cloud with related tags

Guest columnist Phil Butler is back and advocating that hotels balance tangible conservatism with feasible potential to find their competitive edge with technology

Everyone in the hospitality industry has, by now, been inundated with the hype, the potential, the trend toward empowering hoteliers with big, big, big, big DATA!

But questions for the average hotel director remain: Where is the proof? Is there any tangible evidence a universe of data has helped any hotel owner?

Surely this is this what every revenue manager on the planet wants to know! So what is the state of data analytics in the travel industry, and who is doing what?

Heads or tails?

For hoteliers, or any business for that matter, revenue and profit are what matter. This is from the supplier’s side of the business however. The service, what the customer experiences in dealing with a hotel is the driving force behind profit. Indeed, the fundamentals of the hospitality business remain unchanged; namely, guests being satisfied, willing to spend their money, and happy they did.

However logical and static an idea of selling hotel beds may be, the technologies and marketing behind selling those beds has undergone dramatic changes. The situation today is not unlike the early days of television. That said, we constantly hear digital call points like ‘the experience’, and the ‘customer journey’ parlayed at conferences and summits on the speaker circuit, just like soap suds were evangelised on early TV soap operas.

For the potential consumer of data analytics, and ‘big data’ tools, much of what’s being advertised is just that, just more marketing noise. But not all the noise is hyperbole, some stunning tools are being manufactured, albeit incrementally.

In this ‘so far’ nebulous world of hotel analytics it’s difficult for hoteliers to make heads or tails of what is going on. But what’s clear is that ‘deep customer insights’ will lead to a better guest satisfaction score, or even optimized room rates. Having said that, the hotel concierge or desk clerk is far from being empowered to provide these heightened experiences.

Source: http://www.eyefortravel.com/mobile-and-technology/what-every-hotelier-wants-know-about-big-data-analytics


Cisco stakes a claim for Internet of Things security and analytics


Cisco CEO Chuck Robbins: We have to provide analytics out of the network. Image: Cisco
The new chief executive of Cisco has made the case for the networking giant as a key player in building, securing, and making sense of the nascent Internet of Things.

Cisco predicts that the 15 billion devices connected to the internet now will rise to 25 billion – or maybe even 50 billion – by 2020, as the Internet of Things gathers pace. Internet traffic will triple over the same time as a result, and Cisco expects that around 40 percent of mobile internet traffic will be machine-to-machine communication.

All of this will create big changes for how enterprises manage data, said Cisco CEO Chuck Robbins: instead of hauling all that information back to a data center, some of the analysis of that data will be distributed across the network.

Speaking at an event at Cisco’s headquarters in San Jose, California, his first major presentation since taking over as CEO, Robbins said: “You need a very intelligent network infrastructure to make that happen. So now we will have not just data centers but remote centers of data. We can’t always depend on taking the data back to the data center and acting on it because it has a shelf-life, it’s perishable, the value only exists for a short period of time.”

Suggested Reading: Security and Privacy in Internet of Things (IoTs): Models, Algorithms, and Implementations

Source: http://www.zdnet.com/article/cisco-stakes-a-claim-for-internet-of-things-security-and-analytics/


Genomics and the Role of Big Data in Personalizing the Healthcare Experience

Genomics is making headlines in both academia and the celebrity world. With intense media coverage of Angelina Jolie’s recent double mastectomy after genetic tests revealed that she was predisposed to breast cancer, genetic testing and genomics have been propelled to the front of many more minds.

In this new data field, companies are approaching the collection, analysis, and turning of data into usable information from a variety of angles.

What is Genomics?

Genomics is the study of the complete genetic material (genome) of organisms.  The field includes sequencing, mapping, and analyzing a wide range of RNA and DNA codes, from viruses and mitochondria to many species across the kingdoms of life. Most pertinent here are intensive efforts to determine the entire DNA sequence of many individual humans in order to map and analyze individual genes and alleles as well as their interactions. The primary goal that drives these efforts is to understand the genetic basis of heritable traits, and especially to understand how genes work in order to prevent or cure diseases.

The amount of data being produced by sequencing, mapping, and analyzing genomes propels genomics into the realm of Big Data. Genomics produces huge volumes of data; each human genome has 20,000-25,000 genes comprised of 3 million base pairs. This amounts to 100 gigabytes of data, equivalent to 102,400 photos. Sequencing multiple human genomes would quickly add up to hundreds of petabytes of data, and the data created by analysis of gene interactions multiplies those further.

Forces driving data analysis of genomics

Genomics Fuels Personalized Medicine

Personal genomics–understanding each individual’s genome–is a necessary foundation for predictive medicine, which draws on a patient’s genetic data to determine the most appropriate treatments. Medicine should accommodate people of different shapes and sizes. By combining sequenced genomic data with other medical data, physicians and researchers can get a better picture of disease in an individual. The vision is that treatments will reflect an individual’s illness, and not be a one treatment fits all, as is too often true today.

Suggested Reading: Genetics and Genomics in Medicine

Source: http://radar.oreilly.com/2013/08/genomics-and-the-role-of-big-data-in-personalizing-the-healthcare-experience.html