Editor's note: The following post is from Shara Evans, CEO of Market Clarity Pty Ltd. Shara is a featured speaker at SAS Global Forum 2017 and a globally acknowledged Keynote Speaker and widely regarded as one of the world’s Top Female Futurists. Learn more about Shara. In the movie Minority Report lead
El amor, dicen los espíritus sensibles, no se puede colocar bajo un microscopio; dada su naturaleza emocional y profundamente humana, sería imposible examinarlo a partir de parámetros tradicionales. Aunque lo anterior debe ser cierto, la realidad es que el amor genera una gran gama de acciones que terminan por dejar
Are you struggling to hire talented data scientists to glean insights from your corporate data? There’s currently a lack of big data talent hampering corporate analytics and causing nightmares for CIO’s, but I have good news for you: You may already have all the data scientists you need! There are
On any inauguration day in our country’s history people probably found themselves in one of three categories: happy & hopeful, disappointed & apprehensive, or apathetic & checked-out. Change is difficult, whether you perceive it as positive or negative. This blog is not to share which category I fall into but
Achieving GDPR compliance is impossible without Data Management and Data Governance. That's a bold statement but it is borne out by any in-depth examination of the tasks necessary to achieve compliance. Let's take a look at a few of the things that regulators require when interacting with organizations around personal
A diario, las empresas compiten aguerridamente entre sí para atraer nuevos clientes, conservar los que ya tienen y asegurar su lealtad por mucho tiempo. Sin embargo, no es una tarea fácil, especialmente cuando los consumidores están más conectados e informados que nunca y su entorno es cada vez más competitivo.
If you are a SAS programmer and use the GROUP= option in PROC SGPLOT, you might have encountered a thorny issue: if you use a WHERE clause to omit certain observations, then the marker colors for groups might change from one plot to another. This happens because the marker colors
Am 28. Januar war Europäischer Datenschutztag und ab sofort gilt dann verschärftes EU-Recht – so kommt es einem zumindest vor bei Gesprächen mit Datenschutz-Experten, bei ihrem Streben, die neue EU-Datenschutz-Grundverordnung (DSGVO) zu bewältigen. Was ist schutzwürdig? Alles bekannt Personenbezogene, sowieso. Mehr aber noch das Unbekannte.
In my last post I described "4 adaptability attributes for analytical success," and in the past I've discussed the strategic role analytics play in helping organizations succeed now and into the future. Now I'd like to discuss three attributes that define a powerful analytics environment: Speed Accuracy Scalability [NOTE: Any
SAS® Viya™ 3.1 represents the third generation of high performance computing from SAS. Our journey started a long time ago and, along the way, we have introduced a number of high performance technologies into the SAS software platform: In-Database processing where SAS data quality and analytical processing occur within the
Tell me if you’ve heard this before: Your company hired (or re-titled) a talented data scientist and they have great skills and no data. Or they're marginalized by IT because they're misunderstood. They're offered “cleansed” data that will fit into the hardware provisioned. What they want is “all” relevant data
Editor's note (10/25/17): You can practice what you learned in class with 15 hours of Free virtual lab time when you attend the in-person or Live Web Applied Analytics Using SAS Enterprise Miner class. Register now. Are you interested in taking an advanced course on the machine learning topic of Neural Networks? Does text
Historically, tax havens have been a key tool for tax evaders to store and hide unreported and untaxed money. I would agree with most observers that the Panama papers (11.5 million leaked documents that detail financial information for more than 214,488 offshore entities) are just the tip of the tax
Here in the US, it's Girl Scout cookie season. This is when you get to spend a few bucks on cookies, break your New Year's resolution about losing weight ... and feel good about it, because the money's going to a good cause. Or is it? - Let's break down
Seit der Finanzkrise hat das Risikomanagement in Banken an Bedeutung zugenommen und damit auch die Notwendigkeit der Digitalisierung. Neben eigenen Initiativen, forderte aber auch die Regulation ein nachhaltiges Risikomanagement in den Geschäftsprozessen stärker zu verankern. Nach den ersten direkten in Basel III mündenden Vorgaben zu Eigenkapitalanforderungen und Liquiditätsmanagement, hatte die
Esiste una teoria filosofica molto profonda che viene definita "la legge del decimo uomo”, secondo la quale, quando dieci persone affrontano un fenomeno o una situazione, nove affermano la stessa cosa. È compito del decimo uomo investigare su quel fenomeno, col presupposto che gli altri nove siano in errore. In
Streaming technologies have been around for years, but as Felix Liao recently blogged, the numbers and types of use cases that can take advantage of these technologies have now increased exponentially. I've blogged about why streaming is the most effective way to handle the volume, variety and velocity of big data. That's
I've long been fascinated by both science and the natural world around us, inspired by the amazing Sir David Attenborough with his ever-engaging documentaries and boundless enthusiasm for nature, and also by the late, great Carl Sagan and his ground-breaking documentary series, COSMOS. The relationships between the creatures, plants and
Whether your resolution is to get SAS certified or to become a more advanced SAS programmer, we’ve got you covered with these new titles and upcoming SAS Press books, many of which will be making their bookshelf debut at SAS® Global Forum 2017 in Orlando, FL! Want to be notified when a new book
Regardless of how long they’ve used the software, there’s no better event for SAS professionals than SAS Global Forum. The conference will attract thousands of users from across the globe and is an excellent place to network with and learn from users of all skill levels. To help those relatively
At SAS, we've published more repositories on GitHub as a way to share our open source projects and examples. These "repos" (that's Git lingo) are created and maintained by experts in R&D, professional services (consulting), and SAS training. Some recent examples include: sas_kernel, which provides Jupyter notebook support for SAS.
“La arquitectura abierta SAS Viya hace a la analítica accesible para todos, y queremos aprovechar esa apertura creando una comunidad para compartir el conocimiento”- Randy Guard, Vicepresidente Ejecutivo y Director de Marketing de SAS En SAS llevamos más de 40 años al servicio de su compañía y durante estas décadas
Nei primi anni '70 il Fejenoord e l’Ajax vincevano coppe campioni e campionati nazionali come se piovesse. Poi molti dei loro talenti vennero venduti a diversi club europei e iniziò la parabola discendente dei due team. Fu così che Rinus Michels, CT dell’Olanda nel ’74, costruì la nazionale che doveva
It’s no secret that the US energy landscape has undergone massive changes in recent years: the emergence of cost-effective renewables, the natural gas revolution, the wide-scale penetration of intelligence across energy delivery networks, and soon a new resident at 1600 Pennsylvania Avenue. All of these changes are impacting different pockets of
はじめに 以前このブログ「グラフ理論入門：ソーシャル・ネットワークの分析例」でもご紹介しましたが。SASは従来からネットワーク分析（グラフ分析）をサポートしています。ネットワーク分析の基本的なことはまず上記のブログをご参照ください。 今回は、プログラミングスキルがあるアプリケーション開発者やデータサイエンティスト向けです。Pythonからネイティブに利用できるSAS Viyaを使用して、ネットワーク分析をする簡単な利用例をご紹介します。 2016夏にリリースされたSAS Viyaは、アナリティクスに必要な全てのアルゴリズムを提供しつつ、かつオープンさを兼ね備えた全く新しいプラットフォームです。これにより、SAS Viyaをアプリケーションにシームレスに組み込むことや、どのようなプログラミング言語からでもアナリティクス・モデルの開発が可能になりました。今回は、SASのパワフルなアナリティクス機能にアクセスするために、そのオープンさがどのように役立つののかにフォーカスします。 前提条件 SAS Viyaは、REST APIにも対応しているため、それを使用しても良いのですが、一般的には、使い慣れたプログラミング言語を使用する方が効率が良いと考えられるため、今回は、データサイエンティストや大学での利用者が多い、Pythonを使用したいと思います。 デモ環境としては、Pythonコードを実行できるだけでなく書式付テキストも付記できる、Webベースのオープンな対話型環境であるJupyter Notebookを使用します。Jupyterをインストールした後に、SAS Scripting Wrapper for Analytics Transfer(SWAT)をインストールする必要があります。このパッケージは、SAS Cloud Analytic Services(CAS)に接続するためのPythonクライアントです。これにより、Pythonから全てのCASアクションを実行することが可能となります。SWATパッケージの情報やJupyter Notebookのサンプルはこちらをごらんください。https://github.com/sassoftware SAS Cloud Analytic Services(CAS)にアクセスする SAS Viyaのコアにあるのは、SAS Cloud Analytic Services(CAS: キャス）というアナリティクスの実行エンジンです。"CASアクション"という個々の機能を実行したり、データにアクセスしたりするためには、CASに接続するためのセッションが必要となります。セッションからCASへの接続には、バイナリ接続（非常に大きなデータ転送の場合にはこちらが推奨です）あるいは、HTTP/HTTPS経由のREST API接続のどちらかを使用することができます。今回は、デモンストレーション目的で非常に小さなデータを扱うので、RESTプロトコルを使用します。SAS ViyaとCASのより詳細な情報はこちらのオンラインドキュメントをごらんください。 多くのプログラミングと同様、まずは使用するライブラリの定義からです。Pythonでは、importステートメントを使用します。非常に良く使われるmatplotlibライブラリに加えて、ネットワークをビジュアライズするためのnetworkxも使用します。 from swat import * import numpy as np import pandas as pd import matplotlib.pyplot as
Es ist momentan viel die Rede von Digitalisierung. Dabei wird die Zukunft beschrieben, in der fast alle Informationen in digitaler Form vorliegen, was unser Leben und Arbeiten maßgeblich beeinflussen wird. Aber leben wir nicht schon längst in einer digitalen Welt, ohne es bemerkt zu haben? Ich habe mir dazu ein
Wo steht das Internet of Things, nachdem es sich – zumindest diskurstechnisch – aus der Nische herausbewegt hat? Das war die Ausgangsfrage unserer IoT-Blogparade (#data4IoT), an der sich Experten mit ganz unterschiedlichen Blickwinkeln beteiligt haben.
Let me make this clear right from the start: I needed to answer 44 of the 62 exam questions correctly to earn my BASE SAS Programmer certification, and I got exactly 44 right. No margin of error. I never thought I’d be proud of a 70%, but I’m more than
Some observant readers may have noticed a new icon on the right sidebar of this blog announcing the release of the new SAS Press book on the ODS Graphics Designer, written in collaboration with Jeanette Bottitta. Jeanette is a Technical Writer at SAS and has worked on various SAS Graphics products
The financial crisis led to a deep reflection on the things that Banks and other financial institutions were doing wrong. The most significant factor that led to bad business decisions and in extend the results that we have all been experiencing the past few years, was uninformed analytics. This is
