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All Blog Posts Tagged 'data' (757)

SMBs and the Cloud: Things to Consider Before Adopting Cloud Strategies

For a very long time, businesses had their documents filed in folders and stored in huge metal cabinets. But thanks to advances in technology, they were eventually coded and stored digitally. As we advance through the Age of Information, the traditional digital storage devices like the floppy, compact, and flash discs evolved into cloud storage. Eric Griffith, a…

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Added by Kyle Albert on October 23, 2014 at 5:51am — No Comments

Pervasive Analytics: Winning the global data rush.

What is pervasive analytics?

During eras of global economic shifts, there was always a key resource discovered that became the spark of transformation for groups of individuals that could effectively harness it. Today, that resource is data. In no uncertain terms, we are witnessing a global data rush and leading companies realize that data will grow enterprise over the next several decades as much as any capital asset. These forward-looking…

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Added by TJ Laher on October 14, 2014 at 4:00am — No Comments

Ebola Death Cases - Admitted , Recovered Cases

Having found a dataset on Ebola cases, thought of checking it out quickly what the statistics really look like.

The dataset contains 3 countries and within each there are multiple regions.

So just using the high level information at the country level this is what we can see in a simple line chart.

In the below Chart,

The blue line > Total Death cases

The green line > Total Cases

The Orange line > Currently admitted

And the Red…

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Added by Nilesh Jethwa on October 6, 2014 at 6:57am — No Comments

More about Shifting Culture, Less about Investing in Potential

Data Science is often brought to companies as a potential game changer. An investment that may pay off if the company's data can be leveraged to provide insight and gain a competitive edge. But bringing analytical offerings to organizations as a "maybe solution" to their pain points misses the mark. Data science is today's answer to our most pressing enterprise and socially innovative challenges given the data-driven nature of our markets and society as a whole. If an investment in data…

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Added by Sean McClure on September 29, 2014 at 9:03am — 1 Comment

New Beginnings in Facial Recognition

As humans, we navigate our lives largely by the recognition of patterns. These patterns include the sound of a mother’s voice, the appearance of a dangerous animal or poisonous food, the familiarity of kin, and the attraction to potential mates. Accurate pattern recognition is key to an animal’s survival and progress, and has allowed humans to become the socially complex and advanced species we are today. 

It should come as no surprise that…

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Added by Sean McClure on September 29, 2014 at 9:01am — No Comments

Apache Spark: distributed data processing faster than Hadoop

This blog is extrapolated from DataScience Hacks by the author himself. 

Apache Spark, another apache licensed top-level project that could perform large scale data processing way faster than Hadoop (I am referring to MR1.0 here). It is possible due to Resilient Distributed Datasets concept that is behind this fast data processing. RDD is basically a collection of objects,…

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Added by Pavan Kumar on September 28, 2014 at 7:00am — 1 Comment

Universal Data Model - A Really Different Look at Data

The idea of environmental determinism once made a lot of sense. Hostile climates and habitats prevented the expansion of human populations. The conceptual opposite of determinism is called possibilism. These days, human populations can found living in many inhospitable habitats. This isn't because humans have physically evolved. But rather, we normally occupy built-environments. We exist through our technologies and advanced forms of social interaction: a person might not be able to build a…

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Added by Don Philip Faithful on September 13, 2014 at 8:11am — 2 Comments

The Poisson Pill – Just what if we can go beyond the “What ifs”?

This blog discusses the applications of Monte-Carlo simulation methods by modeling real-world situations, explaining those using well known and often researched statistical distributions such as the Poisson distribution and then applying optimization models to solve a variety of business problems thus enabling managers to take decisions by moving beyond the usual methods and what-if scenario analysis.

Introduction: The need for simulation & optimization methods

Very often…

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Added by Debleena Roy on September 5, 2014 at 5:00pm — No Comments

Making D3.js Reusable With Templates

D3.js is an awesome library for visualization. However, it requires a developer to perform the magic. So far, it has not been so popular with traditional data analysts.

At vida.io, we set out to bring D3.js to less technically savvy users. We want to enable them to create amazing data visualizations with D3.js. Our approach is template.

What is a D3.js Template?

It’s a D3.js visualization that you can reuse by just plugging in new data. For example, one of our…

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Added by Phuoc Do on August 29, 2014 at 10:00am — 1 Comment

Protecting Data with Data: Predicting Cyber Threats Before they Happen

Businesses have always faced security threats, whether is someone breaking in to steal some cash or equipment, a disgruntled employee selling company secrets, or something else altogether, there has always been cause to be careful as a business owner.

 

However, with the evolution of technology, and the digital age coming into full swing, security threats have evolved as well, and…

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Added by Beau Winchester on August 25, 2014 at 11:51am — No Comments

From Data Analyst to Predictive Modelers to Data Scientists

Summary: Gartner says that predictive analytics is a mature technology yet only one company in eight is currently utilizing this ability to predict the future of sales, finance, production, and virtually every other area of the enterprise.  What’s holding them back?

In an earlier posting we argued that much of what is holding companies back from…

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Added by William Vorhies on August 19, 2014 at 8:30am — 4 Comments

5 Signs You're Ready for a Data Warehousing Solution

There really is no set amount of data that prompts the need for data warehousing. Some may become overwhelmed by the volume of data their company is producing, while other may become overwhelmed by the amount of data sources they need to integrate. To decide if you’re close to needing a warehouse, you can start by first gathering together your different data sources.

 

What really indicates you need some form of streamlined solution is when you must pull from these multiple…

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Added by Keith Cawley on August 5, 2014 at 11:23am — No Comments

Huge Trello List of Great Data Science Resources

I have been reading and collecting data science resources for years (back in the days when BI / BA was all the rage). While there are lots of resources on the net, not all are great and some are even misleading.

Now, I have updated my collection and placed them into a neat Trello list, open to all.

Of course it features some of the great and interesting articles from data science central:…

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Added by Thia Kai Xin on July 28, 2014 at 6:00pm — 1 Comment

How big data analytics can help to avoid fx rate fixing & Benchmark rate rigging?

Foreign exchange market is world's largest and least regulated financial market. Its estimated daily turnover is $5.35 trillion, according to the Bank for International Settlements’ triennial survey of 2013. Speculative trading dominates commercial transactions in the forex market, as the constant fluctuation of currency rates makes it an ideal venue for institutional players with deep pockets – such as large banks and hedge funds – to generate profits through speculative currency…

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Added by ganeshbabu on July 20, 2014 at 8:03pm — No Comments

An Ethics Framework for Big Data

What do Target and the NSA have in common?

Court room

They both used Big Data and analytics in a way that inspired a major slap on the hand. Target was predicting which of their customers were pregnant and sending them targeted coupons for baby products, which prompted the ire of a father whose teenage daughter hadn’t told him yet. The NSA incurred the wrath of world leaders, the US Congress, and even a good portion of the American public when the…

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Added by Randal Scott King on July 20, 2014 at 3:53pm — No Comments

BigQuery Big Data Visualization With D3.js

How to handle large dataset with D3.js?

It’s a frequently asked question. You can read several discussions on the topic here,here, and here. So far, the best solution is to process data to a smaller dataset. Then use D3.js…

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Added by Phuoc Do on July 7, 2014 at 9:01am — 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

22 Non Statistical Questions for a Statistician

We have always believed that when the world of business collides with the world of math, magic unfolds. As these 2 worlds collide, it also presents a set of unique challenges - bridging the semantic language gap between business and math. Modelling complex business outcomes using math requires an interdisciplinary team consisting of business folks, data folks and math folks. While doing so business folks are always at a loss because a language chasm exists. Math folks love their ”geek…
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Added by derick.jose on June 17, 2014 at 2:00am — No Comments

4 Things to Do with Customer Data

You’ve gathered up customer data which is more valuable than gold, but now what? Whether you paid for big data, got it for free or conducted your own surveys to drum it up, that’s only the…

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Added by Larry Alton on May 30, 2014 at 8:52am — No Comments

Roadblocks to Using Big Data: “First Mile” and “Last Mile” Challenges

LSST (Large Synoptic Survey Telescope)

In Part III of this Data Alchemy blog post, Kirk Borne, Ph.D., talks about the two biggest roadblocks to using big data in business. He also shares his views on big data as a critical asset to such diverse endeavors as exploring the vast reaches of space to helping businesses…
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Added by Ryan Montano on May 29, 2014 at 11:30am — 1 Comment

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