SAS Blogs

Data Management

Blend, cleanse and prepare data for analytics, reporting or data modernization efforts

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

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?

English

Data Management

Man enjoys smartphone music thanks to data preparation for streaming data

Jim HarrisFebruary 7, 2018 0

Data preparation for streaming data

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

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

English

Government | Travel

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

English

Manufacturing | Retail

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

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

Spanish

Banking | Government

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

English

Data Management

Businessman explains what could go wrong in working toward being data-driven

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.

English

Data Management

Team considers the implications of being data-driven

David LoshinDecember 28, 2017 0

Implications of being data-driven

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

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

German

Analytics | Data Management

Jeremy RacineDecember 20, 2017 0

Behavioral health remains a blind spot in health IT

Behavioral health information technology (HIT) adoption efforts have struggled and are still plagued by a number of challenges. Since 2011, the federal government has incentivized the industry to the tune of $37 billion. However, according to US Senator Sheldon Whitehouse (D-RI) “psychologists, community mental health centers, psychiatric hospitals, and others

English

Government | Health Care

Data Management

Businesswoman considers what is keeping her from having a data-driven business

Phil SimonDecember 19, 2017 0

Four things preventing your organization from becoming a data-driven business

What's stopping you from being a data-driven business? Phil Simon points to four common stumbling blocks.

English

Analytics | Data Management

Torsten RöhnerDecember 15, 2017 0

SAS Viya bietet neue Schnittstelle zur Integration von Daten aus operativen Systemen wie SAP

Der Datensee wird immer voller. Aus allen Himmelsrichtugen fließen die Daten ein, nicht nur aus Exceltabellen oder aus Datenbanken, sondern zu großen Teilen aus operativen Systemen wie SAP ERP oder SAP HANA. Aber nicht genug: Sie kommen natürlich auch aus dem Internet in unseren See. Mobilen Endgeräten oder auch Sensoren an Maschinen

German

Data Management

Mary Kathryn QueenDecember 13, 2017 0

SAS Data Preparation 2.1: Data quality transformations

SAS Data Preparation 2.1 is now available and it includes the ability to perform data quality transformations on your data using the definitions from the SAS Quality Knowledge Base (QKB). The SAS Quality Knowledge Base is a collection of files which store data and logic that define data quality operations

English

Analytics | Data Management

Coworkers examine data for their data-driven business

Jim HarrisDecember 13, 2017 0

How a data-driven business supports analytics goals

Jim Harris says a data-driven business can make decisions faster, using better data, with more transparency about results.

English

Data Management

Instructor teaches student about data-driven design

Joyce Norris-MontanariDecember 7, 2017 0

Data-driven design, Part 1

Joyce Norris-Montanari defines data-driven design and asks if it's more about technology, processes or mindset.

English

Analytics | Data Management

Helmut PlinkeDecember 7, 2017 0

Are you ready for the Chief Data Officer challenge?

The primary obstacle to becoming a data-driven business is that data is not readily available, leaving valuable insights unused in data silos. To overcome this hurdle, today’s companies are creating a new role: Chief Data Officers (CDO). Responsible for unlocking insights hidden in data silos, the CDO is tasked with

English

Data Management

Clemens KnoblochDecember 5, 2017 0

Process and control Data Remediation issues using SAS Workflow

With SAS Data Management, you can setup SAS Data Remediation to manage and correct data issues. SAS Data Remediation allows user- or role-based access to data exceptions. Last time I talked about how to register and use a Data Remediation service. This time we will look at how to use

English

Data Management | Learn SAS | Programming Tips

SAS JediDecember 5, 2017 0

Jedi SAS Tricks: Pattern Search in DS2

Finding a pattern like a phone number or national ID number embedded in text can be difficult and time consuming.

English

Analytics | Data Management | Fraud & Security Intelligence

David KennedyDecember 5, 2017 0

How law enforcement can use analytics to combat the opioid epidemic

A steady drumbeat of news coverage makes one thing clear: Opioid abuse is rising and has reached epidemic levels throughout our country. Overdoses from the diversion and abuse of prescription opioids are one cause of the surge in deaths. Overdoses from heroin and other illicit synthetic opioids (such as heroin,

English

Government

Data Management

Jeanne (Hyunjin) ByunDecember 4, 2017 0

'21세기 원유'에서 '21세기 하이웨이'로…데이터 매니지먼트 패러다임의 전환

데이터 매니지먼트가 중요한 이유 우리는 지금 데이터가 사회와 경제를 움직이는 ‘데이터 이코노미’ 시대에서 살고 있다. 시장조사업체 IDC는 전 세계 데이터 양은 매년 약 30% 증가해 2025년에는 현재보다 10배 늘어난 163제타바이트(ZB)에 이를 것으로 전망했다. 이처럼 폭증하는 빅데이터를 가트너(Gartner)에서는 ‘21세기 원유’로 규정하기까지 했다. 하지만 이제는 빅데이터를 단순한 ‘콘텐츠’가 아닌 ‘프로세스’와 ‘인프라’ 관점에서

Korean

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