Data Management | Learn SAS | Programming Tips

SAS JediMarch 26, 2018 0

Jedi SAS Tricks: The DSTODS2 Procedure

You have the infrastructure, and you know that DATA step would run so much better in DS2, but it’s complicated and you don’t know how to get started. Well, if you have SAS 9.4M5, rejoice! The DStoDS2 procedure is here, and it’s a humdinger! (No, Chris, not a Hemedinger… ;-) It's

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English

Data Management | Internet of Things

Jim HarrisMarch 20, 2018 0

Streaming data analytics

Jim Harris says streaming data analytics can drive better decisions and faster adaptation to changing conditions.

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English

Analytics | Data Management

Helmut PlinkeMarch 19, 2018 0

Schnellere Analytics? Nicht ohne modernes Datenmanagement!

Unternehmen, die Big Data nutzen wollen, um schlauer zu agieren und sich einen Wettbewerbsvorteil zu verschaffen, fangen meist bei der Modernisierung ihrer Analytics an. Schließlich verspricht eine moderne analytische Anwendung bessere Erkenntnisse und macht es möglich, neue Markttrends schneller zu erkennen. Doch mit der Implementierung einer neuen Visualisierungssoftware alleine ist

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German

Data Management | Data Visualization

Mary Kathryn QueenMarch 16, 2018 0

SAS Data Studio Code Transform (Part 2)

This is a continuation of my previous blog post on SAS Data Studio and the Code transform. In this post, I will review some additional examples of using the Code transform in a SAS Data Studio data plan to help you prepare your data for analytic reports and/or models. Create

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English

Data Management | Data Visualization | Programming Tips

Mary Kathryn QueenMarch 16, 2018 0

SAS Data Studio Code Transform (Part 1)

SAS Data Studio is a new application in SAS Viya 3.3 that provides a mechanism for performing simple, self-service data preparation tasks to prepare data for use in SAS Visual Analytics or other applications. It is accessed via the Prepare Data menu item or tile on SAS Home. Note: A

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English

Data Management

Rainer SterneckerMarch 16, 2018 0

Datenmanagement – eine lästige Pflicht? Schon lange nicht mehr!

Datenmanagement ist ein alter Bekannter aus der IT – und andererseits ein neuer „Hidden Champion“ im digitalisierten Unternehmen. Warum? Weil Datenintegration und -aufbereitung einerseits eine ureigene und unverzichtbare Aufgabe der IT ist, deren Bedeutung weiter wächst. Andererseits aber stehen vor dem Hintergrund von datenbasierten Geschäftsprozessen und -modellen auch die Mitarbeiter

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German

Data Management

Phil SimonMarch 15, 2018 0

What is record-level security?

Phil Simon chimes in on a way to lock down data

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English

Analytics | Data Management

Héctor CoboMarch 13, 2018 0

Analítica, la clave para transformar la experiencia del paciente

Cuando usted viaja, va de compras o se hospeda en un hotel espera recibir un servicio de primera, un trato amable y que se cumpla lo que le han prometido. Es lo que exigimos de las empresas y organizaciones con las que tratamos: tener una experiencia que cumpla con nuestras

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Spanish

Health Care

Analytics | Data Management | Fraud & Security Intelligence

David KennedyMarch 7, 2018 0

Criminal justice data system speeds prosecutions, helps put offenders away

Much has been written about the value that North Carolina’s Criminal Justice Law Enforcement Automated Data Services (CJLEADS) system has brought the state’s court personnel and law enforcement officers. CJLEADS integrates dozens of NC criminal justice and law enforcement data sets, a vast improvement over the state’s legacy processes. Law

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English

Government

Data Management

Joyce Norris-MontanariMarch 5, 2018 0

GDPR and EU personal data: Some considerations

Joyce Norris-Montanari starts this two-part series with some suggested actions you can take to help you comply with the GDPR.

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English

Data Management

David LoshinFebruary 22, 2018 0

Anticipating data privacy concerns

David Loshin looks at two levels of data privacy concerns: exposure, and fair use of personal information.

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English

Advanced Analytics | Data Management

Michael HerrmannFebruary 20, 2018 0

Beam your customers into invisibility: a data protection masked ball to get you up to speed with the GDPR

Here are some new tips for masking. The new EU General Data Protection Regulation (GDPR) requires your company to implement (quote) all necessary technical and organizational measures and to take into consideration the available technology at the time of the processing and technological developments. So, how can you comply with

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English

Advanced Analytics | Data Management

Michael HerrmannFebruary 20, 2018 0

Pseudonymagical: masking data to get up to speed with GDPR

You work with data. Data about your customers. It's likely that your customers' identity could be determined from the data you’ve collected. Starting in May 2018, a new data protection law will be in effect. This means you’re going to have to document which technical measures you’ve implemented to prevent your

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English

Data Management

Uttam KumarFebruary 19, 2018 0

SAS In-Database Processing in Teradata DBMS

When using conventional methods to access and analyze data sets from Teradata tables, SAS brings all the rows from a Teradata table to SAS Workspace Server. As the number of rows in the table grows over time, it adds to the network latency to fetch the data from a database

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English

Data Management

Todd WrightFebruary 12, 2018 0

The GDPR final stretch – A roundup of topics

Todd Wright summarizes several GDPR-related blog posts that cover topics ranging from what the GDPR means to how you can manage consent.

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English

Analytics | Data Management

Jay PaulsonFebruary 12, 2018 0

Why is it important to add a human touch to big data?

In the hype and excitement surrounding artificial intelligence and big data, most of us miss out on critical aspects related to collection, processing, handling and analyzing data. It's important for data science practitioners to understand these critical aspects and add a human touch to big data. What are these aspects?

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English

Data Management

Jim HarrisFebruary 7, 2018 0

Data preparation for streaming data

Jim Harris considers the technical infrastructure challenges of data preparation for streaming data.

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English

Analytics | Data Management | Data Visualization

Robert AllisonFebruary 1, 2018 0

Does Detroit really have the most violent crime?

For the past few years, I've been hearing from many news sources that Detroit is the most violent large city in the US. If the news is saying this, then the data should corroborate it, eh? Well, of course I decided to check for myself... When comparing crime data across

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English

Government | Travel

Data Management

Phil SimonFebruary 1, 2018 0

Marketing and the GDPR, Part 2: Examining the consent question

@philsimon provides more thoughts about the opportunity that GDPR provides marketing departments.

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English

Data Management

David LoshinJanuary 24, 2018 0

GDPR: The complexity of identifying sensitive personal data

David Loshin says the hardest part of compliance is knowing if a data asset contains personal data, and ensuring you can protect it.

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English

Advanced Analytics | Analytics | Artificial Intelligence | Data Management | Machine Learning

Charlie ChaseJanuary 17, 2018 0

Why do we rely on judgment when analytics outperforms it?

Wherever there is uncertainty there has got to be judgment, and wherever there is judgment there is an opportunity for human fallibility. Donald Redelmeirer, physician-researcher Recently, I read a fascinating book titled The Undoing Project: A Friendship That Changed Our Mind by Michael Lewis (W.W. Norton & Company, 2017). Lewis

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English

Manufacturing | Retail

Data Management

Phil SimonJanuary 17, 2018 0

Marketing and the GDPR, Part 1: Carrots and sticks

@philsimon chimes in on a massive opportunity for organizations that process the data of EU residents.

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English

Analytics | Data Management

Todd WrightJanuary 11, 2018 0

The GDPR – Is reputation a bigger risk than fines?

Todd Wright says the risk of fines for GDPR noncompliance may pale in comparison to the risk posed by reputation loss.

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English

Insurance

Data Management | Internet of Things | Machine Learning

Helmut PlinkeJanuary 10, 2018 0

Was kommt eigentlich 2018 … in Sachen Datenmanagement?

Welche Veränderungen bringt 2018 im Datenmanagement? Ich habe Experten nach ihrer Meinung zu den Technologietrends 2018 gefragt und sie mit meinen eigenen Erwartungen verglichen. Herauskristallisiert haben sich fünf große Trends, die uns meiner Ansicht nach dieses Jahr im Datenmanagement begleiten: 1. Datenbewegung wird wichtiger Cloud-Anbieter haben bereits gezeigt, wie einfach es

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German

Advanced Analytics | Analytics | Data Management | Fraud & Security Intelligence

Sandra HernandezJanuary 4, 2018 0

Fintech, de rivales a aliadas de los bancos tradicionales

  Hace un poco más de un lustro, cuando las Fintech –startups tecnológicas que operan en el sector financiero- comenzaron a sonar fuerte en el mercado, se creyó que eran una amenaza para el tradicional sector financiero, su modelo de negocio y las compañías que allí operaban; hoy, lejos de ser calificadas como el enemigo, se han convertido en el

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Spanish

Banking | Government

Analytics | Data Management

Iván LópezJanuary 4, 2018 0

GDPR, nuevo aliado para la protección de datos

Llega el 2018 y trae consigo una serie de modificaciones en la recopilación de datos, ¿en qué sentido?... A partir de este año ya no será tan fácil poder reunir el perfil de una persona, ya que los negocios sufrirán un cambio importante en materia de protección y privacidad de

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Spanish

Data Management | Internet of Things | Machine Learning

Helmut PlinkeJanuary 4, 2018 0

Data management predictions for 2018

What will 2018 unveil for the data management market? I searched expert opinions on technology trends for 2018 and matched them against my own to uncover the five major trends that I think we’ll see in data management this year: 1. Data movement becomes more important. Cloud providers have proven

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English

Data Management

Joyce Norris-MontanariJanuary 3, 2018 0

Data-driven design, Part 2

Four things clients say could go wrong when you're working to become a data-driven business.

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English

Data Management

David LoshinDecember 28, 2017 0

Implications of being data-driven

David Loshin describes four key traits of fully data-driven businesses.

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English

Advanced Analytics | Analytics | Data Management

Rainer SterneckerDecember 21, 2017 0

Self-Service Data Preparation: Das Self steht für Value!

Data Preparation wird von Unternehmen bislang oft als Fleißaufgabe gesehen, die man gerne der IT überlässt. Doch weil die Fachabteilungen oftmals nicht lange auf ihre Daten warten wollen, haben dicke SQL-Bücher und Spreadsheet-Anwendungen immer noch Hochkonjunktur in den meisten Büros. Ist das sinnvoll? Nein, das ist nicht sinnvoll. Denn die

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German