In an era of information, the use of Big Data analytics in the banking and financial services in India can be traced back to the early 2000s and the bank with the most actionable insights is the winner. While more than 70% of the banking executives worldwide say customer centricity is important to them, this requires a deeper understanding of customer needs. However, research has indicated that only 37% of the customers believe that banks understand their…Continue
Added by Aureus Analyitcs on October 7, 2015 at 11:00pm — No Comments
Added by Damian Mingle on October 6, 2015 at 3:27am — No Comments
With the advent of technology, data is being generated at a fast pace. In order to handle this humongous quantity of data, one needs technologically improved tools which can help to analyze this huge amount of data. These tools help in giving meaning to the information which can be used to strategize organizations future steps. It helps to understand the hidden patterns…Continue
The importance of gathering and managing the right consumer data, applying analytics to generate valuable insights and translating those insights into effective front-line action cannot be emphasized enough for companies, especially those that are directly consumer-facing.
Every day, retailers and FMCG companies have access to vast amounts of data, capturing information on every transaction at every store.…Continue
Added by Aureus Analyitcs on September 30, 2015 at 3:01am — No Comments
Added by Damian Mingle on September 29, 2015 at 6:34am — No Comments
There has been enough buzz about Big Data over the past year or two to create a very big data file. It seems that if you do not have a strategy around big data, mining ecommerce and social media sites for new insights into your customers, using new data management software tools like Hadoop, you are at a serious disadvantage to your competitors who are all jumping on the big data bandwagon.
And - there is merit to this line of thought for some companies. The increase in the…Continue
While doing a daily reading exercise about the innovations in the field of big data, I came across this interesting case study.
One of the world’s largest companies which provide refrigerated trucks wanted to increase their operational efficiency along with productivity. With this set objective they collaborated with a risk management application. The results were amazing. There was a reduction in the number of accidents by 15%. On further reading, I came across even…
Added by Aureus Analyitcs on September 24, 2015 at 11:31pm — No Comments
Data Monetization is the natural response to financial demands of storing and managing big data, the skills it requires to manage that data.
As Gartner reports "Data Monetization is increasingly becoming a significant business activity for most companies. While less then 10% of Fortune 1000 companies have a data monetization strategy today, it is projected that 30% of businesses will monetize their data and information assets by 2016.”
Added by vivek upadhyay on September 24, 2015 at 9:01pm — No Comments
Huge amounts of crowd is expected to turn up at the Nasik KumbhMela this year. Along with it comes good planning and technological innovation. This infographic explains how big data influences preparations for the Kumbh.…Continue
Added by Aureus Analyitcs on September 22, 2015 at 11:11pm — No Comments
A large number of organizations are now turning towards advanced analytics in order to seek solutions to their ever increasing organizational problems. Moreover, organizations are now facing intense competition; understanding the consumer needs is the key to gaining success. Like other industries, the insurance industry is now releasing the benefits of using analytics for crafting products, segmenting markets, creating unique distribution strategies, handling inforce business, making…Continue
Added by Aureus Analyitcs on September 21, 2015 at 10:28pm — No Comments
I set out a structure for the data analytics industry in a previous post. This framework attempted to define a framework by which companies can be categorized and evaluated. The framework defined a group of four sectors with a number of segments within each of those sectors. On the one hand there is a group of global leaders that provide a comprehensive suite of analytics software and services to all-comers as well as a group of companies that have deep expertise and offerings focused on…Continue
It wasn’t so long ago that the universe of data analytics companies was much easier to describe. In the year 2000 there were some clearly defined categories of companies that were all engaged in some part of the data and analytics world, although data analytics was not really recognized as a discrete sector at the time. Companies typically fit into a specific industry category, such as software (Oracle, Siebel, Epiphany), consulting (Accenture, Bain), data (credit bureaus, IMS, IRI); or a…Continue
Added by Gregory Thompson on September 21, 2015 at 7:35am — No Comments
Business professionals of all levels have asked me over the years what it is that they should know that their Data Science departments may not be telling them. To be candid, many Data Scientists operate in fear wondering what they should be doing as it…Continue
So many data scientists select an analytic technique in hopes of achieving a magical solution, but in the end, the solution simply may not even be possible due to other limiting factors. It is important for organizations working with…Continue
Added by Damian Mingle on September 7, 2015 at 4:00am — No Comments
Companies are directing a lot of resources towards data mining and data analytics. Analysis of big data can help improve a business’s online marketing strategy,…Continue
Added by Jack Dowson on August 25, 2015 at 9:44pm — No Comments
v0.2 of the application.
The analysis and discussion over the last few months on data integrity have finally positioned me to do some basic analysis of the NOAA data. Undoubtedly, as you look through the data in the interactive program below, you will see things that cause you to question the data. If you have the time, and the interest, please go back and read through my earlier posts on …
Added by Randall V Shane on August 22, 2015 at 7:00am — No Comments
The congeries of Digital large scale data is growing in every second in the world, it making the changes in technology and organization growth day by day.
"The speed at which people making data is expeditiously outdo our ability to analyze big data," Executive Director of the University College of London's Big Data Institute, Professor Patrick Wolfe, says Business Insider. "The tactics to turn large data flow from a liability into a power." We can say 0.5% of all over data is…
Added by kyvos insights on August 22, 2015 at 2:00am — No Comments
Google's BigData Library project of over 30 million scanned documents contains newly easily discovererable text searchable information, in previously neglected books and articles.
Using the ID research method (read the free sample chapter 2 of my book Nullius in Verba to find out how its done) I found numerous publications, which uniquely 100 per cent disprove the…Continue
Added by Dr Mike Sutton on August 14, 2015 at 7:00am — No Comments
While many of us recognize that companies are empowered by actionable information penetrations and help drive sales, devotion and superior customer experiences, the thought of making sense of enormous quantities of information and undertaking the task of unifying is daunting. But that is slowly changing. Experts forecast that this year, budgets will be allocated by most companies, and that 2015 will undoubtedly be the year of big data and discover the best tools and resources to really…Continue
Added by Ayush Sharma on August 5, 2015 at 11:51am — No Comments
If you’re relatively new to Machine Learning and it’s applications, you’ll more than likely have come across some pretty technical terms that are often difficult for the novice mathematician/scientist to get their head around.
Following on from a previous blog, (10 Common NLP Terms Explained for the Text Analysis Novice), we decided to put together a list of 10 Machine…Continue