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All Blog Posts Tagged 'analysis' (106)

1,000 New Functions for Your Spreadsheet

We are excited to announce that all 1000+ functions on Blockspring can now be run from your spreadsheet.

You'll be able to create interactive data visualizations, run algorithms, pull data from the web, automate tweets and emails, call APIs, and more. In a nutshell, you get the full power of programming from the comfort of a spreadsheet.

To get started, install the …

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Added by Paul Katsen on April 2, 2015 at 9:00pm — No Comments

How to Ask an Analyst a Question

Asking questions is easy. It’s so easy that, as askers, we often don’t think about the quality of our questions. Poorly framed questions waste everyone’s time—yours included—because they require the answerer to make assumptions. When it comes to asking analysts to explore a problem you’re trying to solve, better questions will drive better analysis and, ultimately, more actionable answers.

Here’s an example:

Marketer: “How many people converted from paid ad…

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Added by Derek Steer on March 19, 2015 at 11:49am — No Comments

Algorithmic Sensitivity to Social Phenomena Using Fractals

I took only a single biology course during my years in university. My environmental toxicology professor explained that when testing for the LD50 (the dose that kills 50 percent of a population) a certain percentage will probably die right away; on the other hand, some might be able to tolerate unusually high exposure levels. There is a distribution of responses. A related principle applies to stress. People respond differently to stress: some might flee from their stressors (avoid or evade)…

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Added by Don Philip Faithful on March 7, 2015 at 6:34am — No Comments

Bigdata Analytics and Supply chain management

     I am a newbie to Bigdata and would like to highlight some significant advantages if incorporated in a company's supply-chain management strategies, expecting the reader's views and suggestions.

     Because, in recent past I have developed a online supply-chain management systems in which sellers and customers are matched using an algorithm. It acted as a decision support system and I needed to dig deeper on the available data to get more insights over the data pattern (even for…

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Added by VINU KIRAN .S on January 17, 2015 at 6:30am — 5 Comments

Top 10 Big Data and Analytics References

Post Adapted from Top 10 Big Data and Analytics References

Price is what you pay, value is what you get

- Warren Buffett

Between rising Data…

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Added by Alex Jones on January 11, 2015 at 5:00am — 2 Comments

Linked Data meets Data Science

As a long-term member of the Linked Data community, which has evolved from W3C's Semantic Web, the latest developments around Data Science have become more and more attractive to me due to its complementary perspectives on similar challenges. Both disciplines work on questions like these:

  • How to extract meaningful information from large amounts of data?
  • How to connect pieces of information to other pieces in…
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Added by Andreas Blumauer on October 28, 2014 at 12:27am — No Comments

Qualitative Engine for Organizational Simulations

Given the nature of the community, presumably many visitors already have a strong understanding of the nature of quantitative data. Perhaps more mysterious is the idea of qualitative data especially since it can sometimes be expressed in quantitative terms. For instance, "stress" as an internal response to an externality differs from person to person; yet it would be possible to canvas a large number of people and express stress levels as an aggregate based on a perceptual gradient: minimal,…

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Added by Don Philip Faithful on October 25, 2014 at 6:37am — No Comments

Data Instrumentalism

Being the son of a mechanic, I have spent many years handling power tools. I'm especially fond of a couple of hammer-drills in my possession. They can effortlessly drill holes through concrete. At least, this is what my father once claimed. He handed down his most treasured tools to me. I'm big on pliers and screwdrivers. This might be due to my vocational training as a technician. Even today - long after I completed my diploma and continued to further my education - I still carry a licence…

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Added by Don Philip Faithful on September 27, 2014 at 7:39am — No Comments

Standardized Performance Friendly to Big Data

Somebody once mentioned to me that there is a need for a standard method of performance evaluation that can be applied to all employees regardless of their exact duties: e.g. to compare a janitor to an accountant. In my jurisdiction, there is a regulatory requirement for "equal pay for work of equal value" that can affect companies with government contracts. I consider the concept of "equal value" complicated due to its subjective nature. Certainly two people handling exactly the same work…

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Added by Don Philip Faithful on July 5, 2014 at 7:31am — No Comments

Causality, Closet Nazis, and the Metrics of Criteria

A few semesters into my undergraduate studies, I decided to move away from campus in order to escape the incessant party atmosphere. I chose to rent an old but roomy apartment in Kitchener, Ontario. I read somewhere that this city was formerly called New Munich. One day in the dead of morning, I heard loud banging and smashing downstairs. It seemed that neither I nor my cat could sleep, so I went to investigate. I saw the owner of the building at the front entrance of the apartment holding a…

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Added by Don Philip Faithful on June 21, 2014 at 6:27am — No Comments

Addition of Different Dimensions to Data

I was often the lone wolf among my peers in university because I supported a prominent place in society for corporations and an important social role for capital. I questioned whether the directors and executives of companies entered into boardrooms really intending to “oppress” people such as minorities and people with disabilities. Did they deliberately make bathrooms inaccessible to people in wheelchairs perhaps to advance their preconceptions of who gets to go to the bathroom, I pondered…

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Added by Don Philip Faithful on May 10, 2014 at 9:44am — No Comments

Building a house and building a data-analytic model

If I want to build a house, wouldn't it be wise to learn carpentry? Does the analogy hold for data-analytic multivariate models? Or is it simply enough to let a machine do it, with no knowledge by the machine operator of how to interpret the results from those modeling efforts? Or is it true, as one person has recently asserted, that he could replicate ALL statistical procedures and techniques using MapReduce, without knowing anything about statistics and probability, or the vast collection…

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Added by Bill Luker Jr on April 28, 2014 at 6:51am — 2 Comments

Data Embodiment – an Ecosystemic Approach

Embodiment is comparable to the idea of an “ecosystemic” or “holistic” approach. In an ecosystem, each thing affects everything else. In light of the interrelationship, a person would not attempt to correct a problem by considering only a single piece of the puzzle. Instead, there is a need to bring together many aspects of the body. To understand embodiment, it is necessary to recognize how “the body” separates an organism from its environment; in a manner of speaking, the body represents…

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Added by Don Philip Faithful on April 19, 2014 at 7:30am — No Comments

A Method for Predicting Fishing Activity Based on Geospatial Motion Behaviors - Summarized from an Analyze Technical Report

Illegal fishing is a significant economic and environmental challenge for countries around the world.  Up to 40% of fishing catch in certain parts of the world is unlawful or unregulated, resulting in approximately $10B to $20B in economic losses and significantly depleting…

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Added by Analyze on February 13, 2014 at 5:08am — No Comments

Super Bowl Analytics: A Closer Look at #WhosGonnaWin

Excerpt reprinted with permission from ckmadvisors.com

This weekend sees Super Bowl XLVIII come to New York (yes, we're well aware that the stadium is technically in New Jersey). Earlier this week one of our data scientists noticed the Empire State Building lights putting on quite a show. A quick search revealed that the iconic building's…

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Added by Nicholas Hartman on February 2, 2014 at 1:29pm — No Comments

Not just analyze the log, mine it.

Much more devices held, much more messages sent, much more data up in the air.

Upon the arrival of IOT (Internet of Things) era, number of connected devices grows rapidly, the signals of which stack up mines containing valuable, hidden insights.

We used to analyze log files for risk management, spotting the anomalies and exceptions based on outlined records. Via the ever-richer meta data and context, we are entitled to weave more story from the strings now. By union or…

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Added by Yuanjen Chen on January 25, 2014 at 8:00am — No Comments

Replaying the NFL Championships with Twitter Language Analytics

Excerpt reprinted with permission from ckmadvisors.com

By CKM Advisors Natural Language Analysis Team, 

Last year we posted a popular piece offering our view on…

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Added by Nicholas Hartman on January 19, 2014 at 11:43pm — 2 Comments

Twitter Weather Radar - Test Data for Language Analytics

By: Nicholas Hartman, Director at CKM Advisors

Today we'd like to share with you some fun charts that have come out of our internal linguistics research efforts. Specifically, studying weather events by analyzing social media traffic from Twitter. 

We do not specialize in social media and most of our data analytics work focuses on the…

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Added by Nicholas Hartman on December 15, 2013 at 7:24pm — No Comments

The assumptions on which the RDBMS is based has changed: the ideal data structure

We have been using tables in the relational database, mostly for the transactional purposes, and that proves effective. Considering the data size and analytic purpose, however, the data structure might need to be redesigned for better efficiency.

To determine how to decompose the complexity of big data, we have observed the way the organisms function. In the physical world, the universe is organized into a hierarchy of…

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Added by Yuanjen Chen on November 3, 2013 at 10:29pm — No Comments

What is the difference between in-memory and in-place computing approach?

To be short, in-memory computing takes advantage of physical memory, which is expected to process data much faster than disk. In-place, on the other hand, fully utilizes the address space of 64bit architecture. Both are gifts from the modern computer science; both are essences of the BigObject. 

In-place computing only becomes possible upon the introduction of 64bit architecture, whose address space is big enough to hold the entire data set for most of cases we are dealing with today.…

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Added by Yuanjen Chen on October 29, 2013 at 1:00am — No Comments

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