“Half the money I spend on advertising is wasted, the trouble is I don't know which half.” ~ John Wanamaker, U.S. department store magnate and merchandising / advertising pioneer. I’m not going to claim that I can pinpoint exactly which half of your marketing dollars are wasted in the space
Why are so many companies across a diverse set of industries investing in and around the Internet of Things? Everywhere I go, every blog I read … I sound like my favorite band from the 80s: the Internet of Things is watching me. In reality, it’s the reverse: I'm seeing
We're wrapping up our “Meet the Team” blog series with SAS Solutions Architect Keith Renison. I was introduced to Keith earlier this year and was immediately impressed with his knowledge of advanced analytics and his enthusiasm for technology. He describes himself best: “I’m a combination of a data visualization snob
It’s been an amazing journey with Hadoop. As we discussed in an earlier blog, Hadoop is informing the basis of a comprehensive data enterprise platform that can power an ecosystem of analytic applications to uncover rich insights on large sets of data. With YARN (Yet Another Resource Negotiator) as its
A week from today, we'll be in New York City for Strata + Hadoop World, where we’ll kick things off at the Opening Reception. Be sure to stop by booth 543 to meet the team IRL (in real life)! They are excited about the event and eager to talk with attendees.
.@philsimon on the new challenges of an old problem.
It’s me again!! We're at the halfway point of meeting our Strata + Hadoop World dream team. So far, you’ve met machine learning guru Patrick Hall; data management expert Clark Bradley; and advanced analytics specialist Rachel Hawley. Next up … Dan Zaratsian! I met Dan a few years back while preparing for Analytics 2013
“Científico de datos es perfil que implica un reto definir. Para un científico de datos la información es mucho más fácil de analizar, visualizar y contar una historia convincente con ella.” Esta es la opinión de Patrick Hall, Senior Machine Learning Scientist en SAS, quien fue la persona número 11
In the UK, technology trends move a little slower than for our US counterparts. It was about 5 years ago when I first met a data leader at a conference on this side of the pond who was actively engaging in large scale big data projects. This wasn’t a presenter
In today’s information economy, the ability to engage and develop meaningful digital relationships is fundamental to any business. A growing number of organisations, including small-to-medium sized enterprises, are investing in easy-to-use analytical software and services to extract insights from data about their business. As a result, we're now experiencing the
with Natalie Osborn, Senior Industry Consultant, Hospitality and Gaming Practice, SAS This week, we continue our fall “back to the basics” refresher series on analytics for hoteliers. Last week, in part one, Natalie and I reviewed the analytic methods that can be utilized by hoteliers. This week we will explore
Meet Clark Bradley: SAS technical architect by day and comedian by night. When he’s not demoing SAS Data Loader for Hadoop, he’s blogging about it on The Data Roundtable. Clark and a core SAS team of thought leaders, developers and executives will be in New York City on September 29 at Strata
The benefits of big data often depend on taming unstructured data. However, in international contexts, customer comments, employee notes, external websites, and the social media labyrinth are not exclusively written in English, or any single language for that matter. The Tower of Babel lives and it is in your unstructured
The epicenter of big data moves to New York City on September 29 at Strata + Hadoop World. It’s a great chance to mix and mingle with people that live and breathe analytics, including a core SAS team of thought leaders, developers and executives. We’d love to be a part
There are four key areas that require continuous investment in order to become demand-driven: people, process, analytics, and technology. However the intent of your demand forecasting process along with business interdependencies need to be horizontally aligned in order to gain sustainable adoption. Adoption alone doesn't necessarily mean it will be sustainable. As
In my prior two posts, I explored some of the issues associated with data integration for big data and particularly, the conceptual data lake in which source data sets are accumulated and stored, awaiting access from interested data consumers. One of the distinctive features of this approach is the transition
with Natalie Osborn, Senior Industry Consultant, Hospitality and Gaming Practice, SAS. It’s back to school time, and back to school reminds me of getting back to the basics. So, we thought we’d start the fall with a “back to the basics” refresher series on analytics. To accomplish this, Natalie and
This is my final entry in the Education Meets Big Data blog series. Let’s review what we've covered so far… In my first post, I explained that statewide longitudinal data systems (SLDSs) track student data from preschool through college and workforce across the state. SLDSs can be used to see one
Big Data has become a technology buzzword. But how is Big Data changing insurance? Historically, insurance companies have used SMALL data to make BIG decisions. Today, insurers are using BIG data for SMALL decisions. What does this mean? Traditionally, insurance companies have aggregated data to group risks into broad categories
Integrating big data into existing data management processes and programs has become something of a siren call for organizations on the odyssey to become 21st century data-driven enterprises. To help save some lost time, this post offers a few tips for successful big data integration.
“Back-to-school” is a common theme this time of year, but learning isn’t something that is relegated to a certain point on the calendar or even a particular point in life – it’s a lifelong journey. Whether you are in early education using mobile technology for learning, a student or adult
There is a time and a place for everything, but the time and place for data quality (DQ) in data integration (DI) efforts always seems like a thing everyone’s not quite sure about. I have previously blogged about the dangers of waiting until the middle of DI to consider, or become forced
La respuesta a esta pregunta transformará los negocios como los conocemos hoy e impulsará a la industria financiera hacia la era digital... Con la cantidad de información que se genera día a día, usted como líder de su empresa ahora tiene dos opciones: La primera es dejar el Big Data
While not on the same level of Rush, I do fancy myself a fan of The Who. I'm particularly fond of the band's 1973 epic, Quadrophenia. From the track "5:15": Inside outside, leave me alone Inside outside, nowhere is home Inside outside, where have I been? The inside-outside distinction is rather apropos
In my last post, I noted that the flexibility provided by the concept of the schema-on-read paradigm that is typical of a data lake had to be tempered with the use of a metadata repository so that anyone wanting to use that data could figure out what was really in
As a linguist, I am fascinated with words, their meanings and use. So when I recently saw the words “learning analytics” in a conference paper title, I started thinking about the prevalence of the word “analytics” itself. In the last decade, we have preceded “analytics” with many modifiers referring to
The term “disruptive technologies” frightens many organizations, but to companies like Alibaba, Uber, Airbnb and Facebook, it’s the secret to their success. These four companies from unrelated industries have one major commonality: They don’t “own” anything, at least not in the traditional sense. What they provide is a digital service,
In my first blog post in the Education meets Big Data blog series, I explained the need for Statewide Longitudinal Data Systems(SLDS). In the blog post following, I shared an interview with Armistead Sapp, one of the authors of the book, "Implement, Improve and Expand Your Statewide Longitudinal Data System." In this
I've spent a great deal of time in my consulting career railing against multiple systems of record, data silos and disparate versions of the truth. In the mid-1990s, I realized that Excel could only do so much. To quickly identify and ultimately ameliorate thorny data issues, I had to up
SAS is hosting this year’s European Analytics 2015 conference in Rome November 9 – 11. This three-day inspiring event will give you the chance to boost your company’s analytics culture in an international environment to make sure your knowledge and expertise meet the demands of the digital era. But what if
