It’s hard to believe that another year is over. 2015 is behind us; 2016 is ahead. As I looked back over this year, I recalled starting last year at the National Retail Federation Big Show. I presented in the SAS booth on “Optimizing Pricing Decisions.” The presentation was simple and used the concept of
.@philsimon begins a four-part series on the need for a proper data strategy.
Despite many experts touting 2016 as a significant year for innovation, IT is still chaotic, with many teams stuck in an old world. Organisations are implementing countless digital and data projects in an attempt to improve business models and streamline processes. Sadly, these rarely reflect any kind of coherent company-wide IT
In this two-part series, which posts as the calendar turns to a new year, I revisit the top data management topics of 2015 (Part 1) and then try to predict a few of the data management trends of 2016 (Part 2). Data management in 2016 The Internet of Things (IoT) made significant
2015 was a busy year for the hotel industry. ADR, Occupancy and RevPAR achieved record highs. We saw extensive merger and acquisition activity, culminating at the end of the year with the acquisition of Starwood by Marriot and Fairmont by Accor (and don’t forget Expedia’s Orbitz acquisition, of course). Favorable
In this two-part series, which posts as the calendar prepares to turn 2015 into 2016, I revisit the top data management topics of 2015 (Part 1) and then try to predict a few of the data management trends of 2016 (Part 2). Data management in 2015 Big data continued to make
Am Jahresende Dinge noch einmal Revue passieren lassen und sich melancholisch an frühere Jahre zurückerinnern, ist sicherlich nicht nur meine Passion. Wie in jedem Jahr haben mich auch in diesem wieder einige Buzzwords verfolgt, die ich das eine oder andere Mal durchaus “einfach so” hingenommen habe. Aber im rethorischen Dickicht von Big
My view of the world is shaped by where I stand, but from this spot the future of analytics for 2016 looks pretty exciting! Analytics has never been more needed or interesting. Machine learning established in the enterprise Machine learning dates back to at least 1950 but until recently has
Earlier this month I attended my first Forbes Healthcare Summit, where the stated goal for this year was to “figure out how to create the kind of care we know we deserve.” The event offered a unique gathering of pharmaceutical, health care and biotechnology chief executives engaged in frank discussions
You’d better watch YouTube, you’d better not cry You’d better not post, I’m telling you why Big data is coming to town He’s making many lists (and selling them too), he’s writing it twice (for redundancy’s sake), He’s gonna find out whose naughty or nice Big data is coming to town
La industria de seguros ha entrado en la época ilustrada y estratégica de la analítica, actualmente las aseguradoras tienen entusiasmo sobre el potencial de los grandes datos. Hace cinco años, sólo los pensadores más avanzados de la industria habían oído hablar de la importancia del Big Data, hoy el despegue
Data, números, conocimiento. Es indudable que en un mundo cada vez más conectado el conocimiento es el rey y la data su poder. Pero, ¿es suficiente con tener acceso a la información o también se requiere su buena administración? Esta respuesta es simple: de nada sirve almacenar millones de bits
A few weeks ago I had the opportunity to attend the 2015 EyeforTravel Connected Traveller Conference. Based on the spelling of the word “traveller” which my American version of MS Word continuously wants to autocorrect, you can correctly assume the conference was hosted in London. During the conference, one phrase
Time. It flies. It does so whether or not you’re having fun or otherwise putting it to good use. To know where it flies, you’d need to watch. But most of us can’t make the time to watch. How we use time is important since it’s the one resource we
I've seen a number of articles and webinars recently that discuss data integration as a cloud-based service. So I thought it was worth exploring what this really means in the context of big data – specifically when the objective is to exploit many sources of streaming data for analytics. My initial reaction
.@philsimon with some thoughts on the panoply of available tools out there.
Das Christkind ist ausgesprochen zufrieden mit sich und seinen Vorbereitungen. Wir möchten vermuten, dass dem Christkind die Komplexität seiner Aufgabe (trotz zweitausendjähriger Geschichte) erst jetzt so richtig dämmert. Es hat gelernt, assoziativ zu suchen, Kommentare der Kinder zu analysieren und aus allem die richtigen Schlüsse zu ziehen. Heute verfeinert es
Did you know that Tuesday, Nov. 24, was #ThankfulTuesday? This themed day was just two days before Thanksgiving and joined the ranks of newly invented opportunities such as #WorldPastaDay and #NationalMotherInLawDay to collectively post on social media about a single topic. Appropriate to the season of giving thanks, many people
On the first day of Big Data Analytics my colleagues sent to me: A data scientist discussing a decision tree On the second day of Big Data Analytics my colleagues sent to me: Two business analysts and A data scientist discussing a decision tree On the third day of Big Data Analytics my
Heute gegen 15 Uhr wird das Christkind einen Ausflug zu einem irdischen Einzelhändler unternehmen – es geht um Assoziationsanalysen und Warenkörbe. So viel vorweg. Doch lesen Sie jetzt erst mal, warum diese Reise ansteht. Und ganz unten im Blog lernen Sie Herrn Mümeschmi kennen! Hier geht's zum 1. & 2.
Imagine your company's analytics environment is like an old apartment building, with each unit having its own air conditioner. Each air conditioning unit has to be individually maintained and repaired by the building landlord or "super." The air conditioning units come from different manufactures and are of varying ages. It can be challenging, to
As consumers have moved to digital channels and digital interactions, competition for the hotel consumer has increased dramatically. Now, hotels not only compete with each other, but also with third-party online distributors, and even new disruptors from the sharing economy like AirBnB. However, hotels have one advantage that these other
Unos 30 mil millones de dispositivos estarán conectados al Internet de las Cosas para el 2020*. También se estima que para finales de 2015, el mercado de dispositivos con capacidad de conectarse a internet a través de protocolo IP, crecerá unos 6 mil millones de dólares. Estas cifras impresionan. Sin
Learn the top 5 reasons for managing data where it lives – whether it's in database or in memory, in the cloud or in-stream.
.@philsimon on whether data governance is still relevant.
The Internet of Things (IoT) has become the new It Girl of the IT world. Of course her big brother big data continues to generate big buzz. My sis from another miss Tamara Dull has blogged about the relationship between big data and IoT, positing big data is a subset of IoT on
Alguna vez se ha preguntado ¿cómo una empresa como Amazon puede publicar ofertas instantáneas que le pueden interesar, al mismo tiempo que está viendo otro producto?, ¿cómo hace Netflix para recomendarle películas y acertar en sus gustos?, ¿cómo una entidad financiera es capaz de hacer una proyección y darle respuesta
With so many cybersecurity stories and large scale data breaches in the news, it's no wonder that cybersecurity is a top priority for leaders in many industries. But did you know analytics can help protect your customer and organizational data? Franklin Witter, Principal CyberSecurity Consultant, recently shared these three cybersecurity
Like retailers, Communications Service Providers (CSPs) interact with customers in multiple ways during the buy, use and share journey. These interactions take place at stores and on websites, Facebook pages, call centers, and other channels. However, unlike retailers, CSPs are having a harder time providing a seamless experience across their many channels.
Many people perceive big data management technologies as a “cure-all” for their analytics needs. But I would be surprised if any organization that has invested in developing a conventional data warehouse – even on a small scale – would completely rip that data warehouse out and immediately replace it with an NoSQL
