Includes great charts from FlowingData.com.

Many decisions, big and small are made every day across various lines of business, executive offices and departments in your organization. How are these decisions made today in your organization? What drives the decision maker(s) to say ‘yes’ or ‘no’ for any particular decision? Let’s look at some of the key business challenges that many organizations are facing today where decision making is critical.…

This was probably the week with most big data news so far this year, teeming with numerous announcements from big data…

In the actual business, data analysis and statistical computation as well as report preparation are required no matter for the management of inventory and human resources, or calculation of customer information and sales data. In this case, a tool which can handle different datasource like text, spreadsheet, database, etc. is needed in urgent. However, most of statistical computation software needs modeling before computation and analysis which reduces flexibility to meet analysts'…

Analytics is not just pure science; it is part art as well. Organizations that master the fine art of using analytical tools realize increased revenues and enjoy cost savings.

The scientific approach involves the following four key steps:

• Observe/define the business problem: Observation is either an activity consisting of receiving knowledge, or the recording of data using scientific instruments. The term may also refer to any data collected during this…

Educating savvy and business-minded Indians 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 at an optimal or realistic decision based on existing data. Business managers may choose to make decisions based on past experiences or…

From Data Science Central and AnalyticBridge

1. Splunk for Hadoop – Real Time Analytics…

For motivated students who can learn on their own, here's an option that I would like to offer: the possibility to become an expert data scientist in less than six months, for a cost well below $10,000, and with guaranteed job opportunities.

The program would be open to everyone without screening, but the degree and the…

Most analytics and data projects have started thinking of investing in big data initiatives.  With so much buzz about big data, organizations have started investing or are thinking of investing in Hadoop While it is great to stay on top of trends, it often ends up being another investment where the full benefit and potential is simply not realized. The learning curve is too steep and the time to implement too high. Current analytics resources lack the strong programming skills required 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…

The interactive analysis is a circular analytics procedure comprising assumption, verification, and calibration by the analyst to achieve the fuzzy computation goal. For specifics and details, please refer to another article I composed: Interactive Analysis and Related Tools.

Because there are so many tools for interactive analysis that not everyone can know all of them, I will only focus on and compare the 7 commonest tools: R, Matlab, esProc, SAS, SPSS, Excel, and SQL.…

Here's his LinkedIn profile. Do a Google search on "Rayid Ghani Obama". There's very little info available on the web about his relationship with Obama, but you will find a few articles mentioning how he optimizes Obama's campaign. One article is entitled  How cutting-edge…

SILENCE ISN’T ALWAYS GOLDEN

“Determining the Right Actions across Information”

By BRADLEY FORDHAM, PhD

Published: Oct 14, 2012

When it comes to…

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 Science Central and AnalyticBridge

• The Path from BI to Data Science…