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2 Critical Obstacles Facing Retailers for Data Driven Marketing

October 5, 2015 by Larisa Bedgood

Data Driven marketing is on its way to becoming the standard in all industries. A 2015 study by the Global Direct Marketing Association and Winterberry group found that 92% of surveyed marketing professionals believe that data will be an important factor in the future of marketing.[read more]

The QbD Column: Achieving Robustness with Stochastic Emulators

October 5, 2015 by Stefan G. Brenner

In an earlier installment of The QbD Column titled A QbD factorial experiment, we described a case study where the focus was on modeling the effect of three process factors on one response, viscosity. Here, we expand on that case study to show how to optimize process parameters of a product by considering eight responses and considering both their target values and the variability in achieving these targets.[read more]

Do Predictive Workforce Analytics Actually Work?

October 5, 2015 by Dave Weisbeck

While many HR software vendors talk the talk of predicting “at risk employees,” how many can prove they walk the walk, and that their predictions actually work? How can you ensure a vendor’s claim to predict employee retention risks is valid? What should you look for?[read more]

Introduction to Open Data

October 2, 2015 by Zygimantas Jacikevicius

Today the world generates vast quantities of data each day that can be used to enhance the quality of living of virtually anyone in the world. Information is power but also a tool for supporting development, knowledge sharing and social initiatives. Tracking natural disasters, crowdsourcing rainfall data and mapping out the night’s sky are amongst a diverse range of open data initiatives.[read more]

3 Reasons Today’s Marketing Datasets Are a Whole New World

October 2, 2015 by Larisa Bedgood

Purchasing pre-populated lists for marketing is not a new concept in the business world. For decades marketers have been purchasing email and direct mail lists based on a variety of “check-the-box” criteria. For instance, all single family households in a 3 mile radius with $150k+ annual income, or all email addresses of attendees to a conference. Check, check, check - and out comes a list with the most recent information made available.[read more]


Saving Money and Lives With Predictive Maintenance

October 2, 2015 by Saar Yoskovitz

It’s more important than ever to think about how we can employ predictive maintenance to keep everything, from our air conditioners to our cars, in working order. Most people only know of two ways to maintain machines — reactive maintenance or preventative maintenance. But these aren’t always the best or most cost-efficient processes.[read more]

How Big Data Drives Digital Marketing Success

October 1, 2015 by Larisa Bedgood

Before the digital revolution, in the not so distant past, marketers focused on creating compelling ads for the Sunday circulars, producing television commercials, and perhaps come up with some killer creative for a billboard or two. The job of the marketer has quickly evolved to keep up with technology and marketers are now crunching statistics, targeting individuals versus the masses, and trying to navigate through thousands of channels to reach their target audience.[read more]


Hadoop and Spark: Better Together

October 1, 2015 by Jim Scott

The various online reports about the end of Hadoop as a big data framework bring to mind Mark Twain’s notable quote about the reports of his demise being an exaggeration. Hadoop is very much alive, and numerous organizations continue to make it a key component of their big data and analytics initiatives.[read more]

The Missing Pieces of Master Data Management Services

October 1, 2015 by Julie Hunt

A master data initiative is meant to deliver a unified and well-integrated source of cross-organizational data that is reliable and up-to-date, while eliminating silos and redundancies across the organization. Master data management (MDM) software solutions comprise an essential piece for trustworthy analytics that lead to better decision-making.[read more]


Securing Your Data by Protecting It Against Spam

September 30, 2015 by Ryan Kidman

Interestingly, most site owners out there do not actually think about security. That is a really bad thing because of the fact that websites are constantly being attacked by hackers. Every single website owner out there needs to think about security. Right after you create a blog you have to know what has to be done. Remember that even low profile sites can be attacked thousands of times per minute. You need to be protected at all times.[read more]

The USA Is Building the World's Fastest Supercomputer

September 30, 2015 by Xander Schofield

The United States president, Barack Obama, wants a new supercomputer for the United States and signed an executive order for that purpose. The initiative is known as the NSCI (National Strategic Computing Initiative) with the goal of ending up with an exaflop supercomputer, which means a machine that is around thirty times faster than the current one.[read more]

How Is Knowing the Business Important to Data Science?

September 30, 2015 by Damian Mingle

Businesses around the world are involved in a multitude of projects at any given time. As Data Scientists come into the business fold, it becomes more important with each passing day to have both parties – “the business” and “the Data Scientist” – begin to define successful strategies of working together.[read more]


Of Big Data, the IoT, and Trust: Tales from Google's Nest

September 29, 2015 by Bernard Marr

Formed by ex-Apple engineers, Nest Labs develops products designed to bring Big Data and the Internet of Things into our homes via its smart thermostats and fire alarms. The company was bought out by Google last year for $3.2 billion, which sees its products as central to the inevitable drive towards “smart” homes with connected data systems designed to make our lives more comfortable, while simultaneously cutting down on wasted energy.[read more]

Understanding How to Prevent Common Oracle Errors

September 29, 2015 by Judd Robbins

According to a study conducted by Oracle expert and blogger David Njoku, the top forty most commonly searched Oracle errors on Google have generated over half a million hits in the course of one month. There is not much of a pattern to the list; some of the errors are there because they occur frequently, but are fairly simple to manage, while others are there because of the level of difficulty involved with resolution.[read more]

7 Ways Your Business Can Use Big Data Better

September 29, 2015 by Tiffany Rowe

Big data offers insight that can, at times, seem almost god-like in its breadth, depth, and application. Especially for businesses in dire need of a competitive edge, it's hard to overstate the excitement and possibilities that such a wealth of information offers. That being said, big data is only as useful as it is properly wielded, and the question of how to wield it isn't always easily answered. If your business has already embraced the promise of big data, here are seven ways you can still use it better.[read more]

An Introduction to ElasticSearch

September 28, 2015 by Zygimantas Jacikevicius

Search engines are now an integral part of people’s everyday lives. We are used to having access to information at the click of a button. However we rarely think how much work goes into this ability to search for information. Search engine software has become extremely advanced in recent years, now using complex algorithms to provide the most relevant information with predictive search and search suggestion capabilities.[read more]


Apache Spark Use Cases

September 28, 2015 by Jim Scott

Sure, Apache Spark looks cool, but does it live up to the hype? Is there anything you can actually do with it? Actually, there are some pretty cool use cases going on right now.[read more]

How Big Data Is Changing the Way You Fly

September 28, 2015 by Mark Ross-Smith

As airlines and frequent flyer programs gather more intelligence on your day to day lifestyle, flying and financial position - they begin to build a data profile on your interests, goals, psychometric assessment, your motivations to engage with a brand at any given every point throughout the day, what has driven you to purchase in the past – and most importantly – where your thresholds are.[read more]


How Big Data is Changing the Sports Fan’s Experience [INFOGRAPHIC]

September 25, 2015 by Matthew Zajechowski

Big data is helping to define and improve in-person experience of sports fans. Big data and wearable technology are combining to offer fans a better, more informed in-person game experience. First, wearable technology has grown tremendously over recent years. Athletes, coaches, and trainers have embraced wearable technology as a way to monitor and improve athlete performance, from gauging metrics like heart rate or timing reactions to monitoring the body for signs of concussion or fatigue.[read more]

How to Unlock the Value of Your Data in Real-Time

September 25, 2015 by Larisa Bedgood

Marketers have flocked in droves to the concept of real-time marketing (RTM). At its core, RTM is about reacting in the moment to events or conversations with relevant and timely content. Do you remember the Super Bowl a few years back when the lights went out due to a power cut? Oreo was on it, instantly tweeting an image of a cookie in the dark with the tagline, “You can still dunk in the dark.”[read more]

7 Questions Every Data Scientist Should Be Answering for Business

September 25, 2015 by Damian Mingle

Business professional of all levels have asked me over the years what is it that I should know that my Data Science department may not be telling me. To be candid, many Data Scientist operate in fear wondering what they should be doing as it relates to the business. In my judgment the below questions address both parties with the common goal of a win-win for the organization – helping Data Scientist support their organization as they should and business professionals becoming more informed with each analysis.[read more]


Big Data and Information Security

September 24, 2015 by David Schwartz

Big data is becoming an increasingly important part of the business plan for companies in many different industries. Analyzing large customer datasets and other kinds of data with tools like Hadoop reporting lets companies save money as well as boost revenue by targeting their marketing better, designing products to better appeal to their customers, make better predictions, and so on. On the other hand, this rise in the use of big data has coincided with the rise of advanced persistent threats to data security.[read more]

Sales Pitch: How to Sell Your IT Strategy to the Board

September 24, 2015 by Simon Mitchell

Selling your future IT Strategy to the board is a great opportunity to make your mark, but your vision is unlikely to gain traction if your sales pitch relies on pure tech speak.[read more]


Docker and DevOps: The Skills Needed to Get Ahead in the Cloud Market

September 24, 2015 by Rick Delgado

Cloud computing can be a highly competitive market, both for the companies that provide a cloud service and the employees that help those companies excel. To better compete, employees whose jobs are associated with the cloud often need to adopt and cultivate a long list of valuable skills that providers and other businesses will want to see from their workers. Given the evolving nature of the cloud industry, this list is constantly changing, with some skills receiving more attention and importance than others.[read more]


Game-Changing Real-time Uses for Apache Spark

September 23, 2015 by Jim Scott

Apache Spark, hosted on Hadoop, is great for processing large amounts of data quickly, but wouldn’t it be even better if you could process data in real time? If your business depends on making decisions quickly, you should definitely consider the MapR distribution, which includes the complete Spark stack including Spark Streaming.[read more]


Leveraging Metadata for (Really) Big Data

September 23, 2015 by Don DeLoach

The word “metadata” has different meanings for different people. Most people think of this as the embodiment of big brother grabbing information about everything we do and say. More fundamentally, metadata is really data that describes other data. In essence, it allows for quicker insight or easier interpretation of the data than one might get from analyzing all of the data at an atomic level.[read more]

Top 4 Things Businesses Should Know about Apple WatchOS 2

September 23, 2015 by Kyle Cebull

We’ve spent some time since the Apple Watch was announced last year getting intimately familiar with the operating system, the equipment and its use in the business world. Since then we’ve maintained our thought that Apple Watch can improve business productivity. Yesterday, the latest operating system for the watch came out, watchOS 2. We spent some time with it and there are a few features you should know about that will make productivity even better.[read more]

Which BI Analytics Tool Does My Company Need?

September 22, 2015 by Rick Sherman

Over the years, many business intelligence (BI) tool styles have emerged to match the varied ways that business people need to analyze data across broad product categories that include guided analysis and reporting and self-service BI and analysis. The best practice for selecting a BI analytics tool is to determine what data your business people are going to analyze and how, so you can provide them with the right kinds of tools.[read more]

Schema on Read vs Schema on Write and Why Shakespeare Hates Me

September 22, 2015 by Paige Roberts

A couple of months ago, I found myself without a full time gig for the first time in decades, and I did a little freelance blogging. Being an overachiever, I wrote such a long post for Adaptive Systems Inc. that I broke it into two parts. The first part got published before I dove head first into documenting and unit testing a big Hadoop implementation. The second part got published last week.[read more]

Mobile App Development: How to Choose Between Native vs. Web vs. Hybrid

September 22, 2015 by Annie Bustos

Companies looking to build an app for consumers or their own internal users can choose from three different mobile app development options – native, web, and hybrid applications. Let’s explore each type, with a look at the benefits and drawbacks and how you can choose the best route for your needs.[read more]