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Daniel D. Gutierrez

Recent Posts

Ensuring Predictive Analytics Success with Data Preparation & Quality

Posted by Daniel D. Gutierrez on Fri, Mar 24, 2017

If you’re in the business of pretty much anything, you’ve got a lot of important data coming in from a lot of different places — both internal and external. What you might be lacking are some best practices that could help you access or see all of that data and be in a position to extract important insights that could nudge your business into new competitive directions.

But what data is relevant to your business and where is it? Can you access it when you want to? Do you know that it’s accurate, current, clean, and complete? Can you easily pull all the data together, no matter what format it’s in or how often it changes?

Basically, is your data ready to support analytics?

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Topics: Big Data, Data Science, Data Equity

The Growing Government Open Data Movement

Posted by Daniel D. Gutierrez on Mon, Jul 07, 2014

It was 7:00 a.m. on a Saturday morning, and the 10th floor of Los Angeles City Hall was filled with more than 450 people gathered to spend their day off of work with their noses buried in their laptops. They were data scientists, and they had come to innovate new technologies to solve complex social problems using the city’s newly open data.

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Topics: Big Data, Data Science

The 5 Best Data Science Tools from the 2014 Hadoop Summit

Posted by Daniel D. Gutierrez on Fri, Jun 20, 2014

The Hadoop Summit conference, hosted by Hortonworks and Yahoo, has become a must-see Big Data event. The Hadoop distributed computing architecture is now an integral part of what it means to be a data scientist, and a few days of concentrated effort each year is enough to get a vision for where the industry is headed. The Hadoop Summit serves this purpose well by providing thought-provoking technical sessions, keynote addresses, and a vendor exhibition that brings many of the major players in the Hadoop ecosystem together under one roof.

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Topics: Data Science, Machine Learning, Events

Data Science As the Panacea for Healthcare Fraud, Waste, and Abuse

Posted by Daniel D. Gutierrez on Thu, Jun 12, 2014

Edited by Yan Zhang

Healthcare fraud, waste, and abuse (FWA) are national problems that affect all of us either directly or indirectly. National estimates project that hundreds of billions of dollars are lost to healthcare FWA on an annual basis. These losses lead to increased healthcare costs and subsequently increased insurance premiums. 

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Topics: Healthcare, Big Data, Data Science, Machine Learning

Data Science: Recommender Engines with Collaborative Filtering

Posted by Daniel D. Gutierrez on Mon, Jun 02, 2014

Ever wonder how services like Netflix or Pandora choose media to suggest to you? If you’ve been reading this blog for a while, you’re familiar — at least a little bit — with recommender engines. In our post “How Machine Learning Will Affect Your Next Vacation,” we talked about the impact machine-learning recommender engines have on regular consumers. But here, we want to dive deeper and talk about the math and science behind recommender engines.

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Topics: Data Science, Analytics, Marketing

Data vs. Gut Instinct: How Will You Drive Your Business?

Posted by Daniel D. Gutierrez on Tue, May 20, 2014

Corporate executives make dozens of business decisions every day — most of which are invisible to the general population. But one business decision of late stands out as a stark exception: CNN’s decision to focus on missing Malaysian flight 370 (MH370) long after other news sources moved on. Some CNN watchers grew tired of the endless coverage, especially as other big stories fought for attention elsewhere. Yet CNN seemed to be stubbornly obsessed with the missing flight. For the first time in a long time — possibly ever — people were questioning why an entire network was ignoring major human interest stories — including a sunken ferry with nearly 300 teenage casualties in South Korea and 200 kidnapped schoolgirls in Nigeria — in favor of one human interest story that was no longer news. CNN even became the butt of jokes for its coverage.

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Topics: Big Data, Analytics

What Is Data Science?

Posted by Daniel D. Gutierrez on Tue, May 06, 2014

As a relatively new term, “data science” can mean different things to different people due in part to all the hype surrounding the field. Often used in the same breath, we also hear a lot about “big data” and how it is changing the way that companies interact with their customers. This begs the question — how are these two technologies related? Unfortunately, the hype often masks reality and worsens the Signal-to-noise ratio when it comes to our increasingly data-driven society. Rest assured, there truly is something deep and profound representing a paradigm shift in our society surrounding data, but the hype isn’t helping to clarify data science’s exact role in Big Data. In this article, we strive to put to rest many of the misunderstandings surrounding data science.

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Topics: Data Science, Machine Learning, Analytics

How Data Science Impacts Intelligent Retargeting

Posted by Daniel D. Gutierrez on Thu, Apr 24, 2014

Conversion rates for online retailers are generally considered pretty dismal by most common measures. Imagine if only 1–3 percent of shoppers entering your store ended up making a purchase. Maybe you’d think of trying a new strategy. The new strategy employed by many online retailers is called retargeting — the use of search and display campaigns to target the 97 percent of visitors who came to your e-commerce site but didn’t convert, meaning they did not make a purchase, fill out a form, or request a demo or call. Retargeting works by keeping track of people who visit your site and displaying your retargeting ads to them as they visit other sites online.

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Topics: Big Data, Data Science, Analytics

Local Data on a Global Scale

Posted by Daniel D. Gutierrez on Fri, Apr 11, 2014

With the help of technology and a hankering for local Big Data, Hyperlocal Data lets you be there without going there.

In a world where most things are only a click away, humans have a newfound appreciation for local knowledge. Farmers congregate at the local grain elevator to talk corn prices. Local growers and bakers gather to sell their goods (and eye the competition) at local farmers’ markets. You can judge a melon’s quality by the sound it makes when you tap it or a pineapple’s ripeness by how easy it is to pluck out a top leaf. There’s a lot of value in being in a place, in person, using all your senses. 

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Topics: Big Data

Increase Revenue and Improve Business Strategy with Retail Analytics

Posted by Daniel D. Gutierrez on Mon, Apr 07, 2014

This beginner’s guide to retail analytics will help you get the most out of the data you’re probably already collecting.

When people shop online, they know they’re sharing personal data to be collected and used for marketing purposes. And yet we’re surprised by how many companies fail to do even the bare minimum of analysis with the data they’ve painstakingly gathered. By implementing just a few basic analytics techniques into your marketing practices, you can quickly gain insight into your site’s performance, your customers’ satisfaction, and the effectiveness of your marketing campaigns. And if you take your analytics a few steps further, you can actually predict what your customers want and gain specific recommendations about how best to market to them — whether you have hundreds of customers or millions of them.

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Topics: Big Data, Data Science, Analytics, Signals, Marketing