SILENCE ISN’T ALWAYS GOLDEN

“Determining the Right Actions across Information”

By BRADLEY FORDHAM, PhD

Published: Oct 14, 2012

When it comes to…

The Perfect Storm

Quoting Wikipedia: - Unstructured Data (or unstructured information) refers to information that either does not have a pre-defined data model and/or does not fit well into relational tables. Unstructured information is typically text-heavy, but may…

Social network analysis (SNA) is the methodical analysis of social networks.  Social network analysis views social relationships in terms of network theory, consisting of nodes (representing individual actors within the network) and ties (which represent relationships between the individuals).  These…

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…

From Data Science Central and AnalyticBridge

• The Path from BI to Data Science…

Why do people selling supposedly great ROI on the stock market MUST disclaim that "Past performance IS NOT indicative of future results", or else face litigation?

If I had to tell that statement to my clients, nobody would buy. Indeed, I tell the opposite (as in the subject line), because I'm confident about my predictions…

Analyzes of texts put lights in two main types of information “facts and opinions”. Most current treatment methods of textual information aim to extract and use factual information, this is the case for example of research we do on the web. Analysis of opinions is concerned about feelings and emotions expressed in the texts, it has grown much today because of the space taken from the web in our society, and the very large volume of daily comments expressed by consumers with the advent of the…

See: http://bit.ly/KQ1bsS

Sponsored Listings

• Open source data mining from Rapid Miner
• Data Mining Courses from The Modeling Agency…

Analytics, big data, data science... All of them were posted in major news oultets (WSJ, MIT, etc.) in the last 10 days. Enjoy the reading!

1. An Introduction to Text Analytics
2. Graduate Programs in Big Data Analytics and Data…

Text analytics, sometimes alternately referred to as text data mining or text mining, refers to the process of deriving high-quality information from text.  High-quality information is typically derived through the devising of patterns and trends through means such as statistical pattern learning.  Text mining usually involves the process of structuring the input…

Weekly digest from Data Science Central and Analytic Bridge:

• Is Data Scientist the Sexiest Job of the Century? | Harvard Busines...
• The 8 worst predictive…

Working and valorising Big Data is business-as-usual for companies that have built their business model on it. For companies that don’t compete on analytics, that is for whom analytics is not a core element of their strategy, it’s a huge challenge.

But Big Data is the talk of town nowadays. I think that a part of the growing management interest is due to two factors:

1. The relentness search for cost efficiency and growth in the current economic downturn;
2. A…

With the launch last week of Datascape I thought it would be worth putting an MD’s perspective on the product – how we got here, what the philosophy is that lies behind it, and where we hope to go with it. For a more formal view of the academic and commercial background see our Immersive Data Visualisation white…

Hey good lookin’. Yep, I’m talking to you, or at least the data scientists reading this. (The rest of you are incredibly good looking, intelligent, and clearly have good taste, as well.)

TheHarvard Business Review has…

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 intelligence…