A Data Science Central Community
A Social Network is a theoretical construction useful in the social sciences to study social relationships.
Social network analysis refers to methods used to analyze social networks, social structures made up of individuals or organizations, which are connected by one or more specific types of interdependency, such as friendship, common interest, financial exchange, or relationships of beliefs, etc.…
Facing this new domain I have make a personal…Continue
Added by Michel Bruley on December 17, 2012 at 3:05am — No Comments
We all live in a digital world or rather ‘social digital’ world. This is because so many of us have taken to Facebook, Twitter and other social networking sites/tools that this has become an obsession to many.
Obviously, the huge social media traffic has provided companies an unprecedented opportunity to showcase and message themselves. Marketers and bankers have happily followed the traffic. Now every company has a social media strategy, mostly directed at messaging and feeling…Continue
Added by Naagesh Padmanaban on November 30, 2012 at 9:38pm — No Comments
Big amount of information is available in textual form in databases or online sources, and for many enterprise functions (marketing, maintenance, finance, etc.) represents a huge opportunity to improve their business knowledge.
Sentiment analysis or opinion mining refers to the application of language processing to identify and extract subjective information in source materials. Generally speaking, sentiment analysis aims to determine the attitude of a speaker or a writer…Continue
Added by Michel Bruley on November 21, 2012 at 1:41am — No Comments
Transforming into a data-driven organization - turning information into actionable insights is a three (3 ) part strategy:
• Technology – build a modern BI/DW architecture & analytics ecosystem with…
Added by Michael Walker on November 14, 2012 at 11:20am — No Comments
What is an appropriate business engagement model for succeeding in the analytics business? This is a great question, but has no simple answer. This question seems to be on the minds of leadership in analytics service providers. What engagement model do you choose to build long term trusted relationships with your clients? What is unique in banking analytics space? In fact, this question also came up recently, rather unexpectedly, when I was having dinner with two old friends in beautiful…Continue
Added by Naagesh Padmanaban on November 3, 2012 at 2:10pm — No Comments
Added by Michael Walker on October 31, 2012 at 10:37am — No Comments
Indian School of Business, one of the premier management institution's in India and rated one among the Top 20 B-Schools in the world for their post graduate programs has collaborated with CrowdANALYTIX to initiate a contest that will help students collaborate with a large community of data scientists on a ideation problem. This is the first in a sequence of 4 including ideation and data mining…
Added by Aravind on October 24, 2012 at 12:52am — No Comments
The emerging "Data Stack" or "Data Layer" is in full transition and can be viewed and defined many different ways. The ability to capture, analyze and learn from data generated at unprecedented scale, combined with means…Continue
Added by Michael Walker on October 10, 2012 at 1:50pm — No Comments
Added by Michael Walker on October 3, 2012 at 1:17pm — No Comments
Becoming a data and evidence driven organization provides significant competitive advantage. Speed and accuracy of insight, delivered across any device including smart phones and tablets, means organizations can make better, faster decisions. The goal is for the entire organization…Continue
Added by Michael Walker on September 26, 2012 at 1:00pm — No Comments
Author: Karan Bhalla, Director, IQR Analytics and Prachi Shah, Marketing Consultant, IQR Analytics (http://www.iqrdataanalytics.com)
A “state of business analytics” report was issued last year by Bloomberg Businessweek Research Services. In its survey of corporate executives across the globe, business analytics was identified as having “gone mainstream”…Continue
The goal of Data Analytics (big and small) is to get actionable insights resulting in smarter decisions and better business outcomes. How you architect business technologies and design data analytics processes to get valuable, actionable insights varies.
It is critical to design and build a data warehouse / business…
Added by Michael Walker on September 19, 2012 at 2:57pm — No Comments
The goal is to design and build a data warehouse / business intelligence (BI) architecture that provides a flexible, multi-faceted analytical ecosystem for each unique organization.
A traditional BI architecture has analytical processing first pass through a data warehouse.
In the new, modern BI architecture, data reaches users…Continue
Added by Michael Walker on September 12, 2012 at 2:52pm — No Comments
Optimization answers the question: How do we do things better? What is the best decision for a complex problem?
Added by Michael Walker on September 6, 2012 at 2:30pm — No Comments
For a company, having "a presence" in social media is worthless unless it allows it to achieve some objectives. However, beyond the control of the company, social media talk about the company, under these conditions is it reasonable to ignore this space frequented by customers, prospects, partners and competitors?
Social media influences reputation, image, and perceived value. All this has an impact on business results, sales, recruiting new customers, the frequency of…
Added by Michel Bruley on September 5, 2012 at 3:03am — No Comments
Companies, products, and technologies included in the Big Data Landscape:
Added by Michael Walker on August 30, 2012 at 5:57pm — No Comments
The Hadoop stack includes more than a dozen components, or subprojects, that are complex to deploy and manage. Installation, configuration and production deployment at scale is challenging.
The main components…Continue
Added by Michael Walker on August 22, 2012 at 1:00pm — No Comments
Author: Rahul Nawab, Co- founder, IQR Analytics and Promoter, ADSA (Academy for Decision Science and Analytics).
Educating savvy and business-minded Amdavadis on the importance of numbers and analytics in your business is like teaching the properties of sand to someone in the desert, but here is my effort anyway.
The simplest definition of analytics is "the science of analysis." However, a practical definition would be how an entity, e.g., a business, arrives…Continue
Added by AcademyForDecisionScience&Analyt on August 21, 2012 at 6:30am — No Comments
Today Analytics is the heart of a Business. Companies are challenged with a high volume and broad array of data which requires active and effective analysis. Analysis can help them make enhanced and improved business decisions, and hence help the business to maintain profitability. "Companies need to compete on the basis of key business processes, and how they optimize these processes with analytics," says Thomas Davenport, professor and director of research, Babson College,…Continue
Added by AcademyForDecisionScience&Analyt on August 13, 2012 at 2:14am — No Comments
Hadoop (MapReduce where code is turned into map and reduce jobs, and Hadoop runs the jobs) is great at crunching data yet inefficient for analyzing data because each time you add, change or manipulate data you must stream over the entire dataset.
In most organizations, data is always…Continue
Added by Michael Walker on August 12, 2012 at 12:49pm — No Comments