Tan Poh Li

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Time Series Analysis and Its Applications

You are being redirected to the site for the 4th edition.<br>You can get to the 2nd and 3rd edition sites from there.<br>If you are not redirected, use this …

You May Not Need Big Data After All

Publication Date: <b>December 01, 2013</b><p>Why do companies have so little to show for their investments in big data? The biggest reason is that they aren't doing a good job using the data they already have. They don't know how to manage the information embedded in their operating systems, analyze it in …

Education Is Still the Problem for Big Data

Lack of education is still the No. 1 thing hindering greater adoption of Big Data by businesses, according to research. And executives indicate it …

How to Start Thinking Like a Data Scientist

Slowly but steadily, data are forcing their way into every nook and cranny of every industry, company, and job. Managers who aren’t data savvy, who can’t conduct basic analyses, interpret more complex ones, and interact with data scientists are already at a disadvantage. Companies without a large …

Welcome — Statistics Done Wrong

The woefully complete guide¶<p>If you’re a practicing scientist, you probably use statistics to analyze your data. From basic <i>t</i> tests and standard error …

Beware The Big Data Backlash

Electricity was the demon technology of the late 1800s. It caused fires, shocked people walking down the street, and electrocuted repairmen in the wires above. John Feeks was clearing old electric lines from the poles in New York City, when he touched a wire that should have been dead, but had …

Top Ten Internet Law Developments Of 2013

A look back at the Internet law highlights of 2013:<p><b>#10: Copyright Defendants Get High-Stakes Wins.</b> 2013 saw several copyright defendants win long-running litigation affairs–and potentially crack open new markets, including (1) Google’s stirring win in its nearly decade-long Google Books litigation, …

Tim O'Reilly: The World's 7 Most Powerful Data Scientists

“The success of companies like Google, Facebook, Amazon, and Netflix, not to mention Wall Street firms and industries from manufacturing to retail and healthcare, is increasingly driven by better tools for extracting meaning from very large quantities of data,” says Tim O’Reilly. ”Data Scientist is …

Why Good Governance Is Essential In Today's Big Data World

In a Big Data World with massive amounts of real time data and where data is used to make important decisions, good data governance is important.

Big Data

Big data demands nonstop experimentation

The universe is an immensely tangled knot of correlations. Science is humanity's tool for identifying which correlations reveal the deep, dark, dense …

Big Data

Big Data’s Biggest Challenge? Convincing People NOT to Trust Their Judgment

Here’s a simple rule for the second machine age we’re in now: as the amount of data goes up, the importance of human judgment should go down.<p>The previous statement reads like heresy, doesn’t it? Management education today is largely about educating for judgment—developing future leaders’ …

How Your Data Are Being Deeply Mined

The recent revelations regarding the NSA’s collection of the personal information and the digital activities of millions of people across the world …

Big Data Brings Four Big Risks

Big data has gotten a lot of press recently – and rightly so. With the vast amounts of data now available, we can do more than could have been imagined in previous decades. But there is another face to big data … and that is, companies now have to manage some very big risks.<p>It’s hard to visualize …

Big Data Beyond Business Intelligence: Rise Of The MBAs

Evolving quickly alongside today’s business demands, the data scientist profession is faced with the challenges of interdisciplinary rarity. And the job pool is struggling to keep up. Just as we’re beginning to put Big Data in its place, its human counterpart seeks definition within the modern …

Just Adding a Chief Data Officer Isn’t Enough

The proliferation of C-suite roles is an indication of the increasing strategic and operational complexity organizations face. Heightened expectations of expertise are also part of the picture — for instance, GE’s recent transition from asking executives to focus on breadth to focus on depth.<p>One of …