Blogs

Blogs

Data Management

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

Data Management

Matt BeckerJune 16, 2016 0

Three things you must do to create a central clinical platform

Collecting, managing, standardizing and analyzing clinical data during (and after) a clinical trial is crucial in the process for submission and regulatory approval of a new compound, biological, device or other therapy. A central clinical platform requires: Robust and auditable analytics to prove the result to the authorities and external

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Data Management

woman at computer doing data governance

Jim HarrisJune 15, 2016 0

MDM intersections, Part 2: Data governance

Master data management (MDM) is distinct from other data management disciplines due to its primary focus on giving the enterprise a single view of the master data that represents key business entities, such as parties, products, locations and assets. MDM achieves this by standardizing, matching and consolidating common data elements across traditional and big

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Customer Intelligence | Data Management | Internet of Things

Frédéric CombaneyreJune 14, 2016 0

Location analytics and the 'Minority Report' approach

“Good afternoon, Mr. Yakamoto. How did you like that three-pack of tank tops you bought last time you were in?” Washington D.C. Year 2054. Chief of PreCrime John Anderton is running from the law for a crime he has not committed yet. After a risky eye transplant in order to

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Data Management

Robert CollinsJune 13, 2016 0

Let SAS® Studio do your clinical research ‘tasks’

SAS is widely used in clinical research activities including: Managing and transforming data. Generating tabular and graphical summaries. Performing powerful statistical analyses such as safety and efficacy evaluations. In addition, SAS provides a number of interfaces from which a user can select to work with the data. One of these

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Data Management

MDM relationship with customer service

Phil SimonJune 13, 2016 0

The next wave of MDM: Integrating structured and unstructured data

.@philsimon on what's next for MDM applications.

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Analytics | Data Management

Torsten BeckJune 10, 2016 0

Dubletten suchen und bereinigen. Erklärt mit 383 Wörtern

Matchcodes spielen bei der Identifizierung von Dubletten eine zentrale Rolle. Um die Dubletten anhand von Matchcodes zu finden, müssen die Daten meistens erst noch aufbereitet werden. Stehen beispielsweise Anrede und Vor-/Nachname oder Straße und Hausnummer im selben Feld, müssen diese separiert werden, dadurch können bessere Match-Ergebnisse erzielt werden.

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Data Management

Claudia Navarro HernándezJune 9, 2016 0

Las necesidades en el manejo de información de las empresas en función del ciclo de vida de sus clientes

Una necesidad primordial para todas las organizaciones es conocer y entender a sus clientes a lo largo de su ciclo de vida. Conocer los gustos, necesidades y hábitos de compra del cliente permite generar estrategias analíticas enfocadas en incrementar el valor hacia ellos y el que éstos representan para la

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Data Management

crystal ball against mountains repesents data quality and MDM

Jim HarrisJune 8, 2016 0

MDM intersections, Part 1: Data quality

Master data management (MDM) is distinct from other data management disciplines due to its primary focus on giving the enterprise a single view of the master data that represents key business entities, such as parties, products, locations and assets. MDM achieves this by standardizing, matching and consolidating common data elements across traditional and big

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Data Management

Patryk ChorośJune 7, 2016 0

Data Governance - first steps - part 1 of 4

21st century is the era of information revolution, when mass exploitation of data is a part of daily routine. Nowadays any business requires that the information driving the decision-making process be of a high quality, timely delivered and, above all, reliable and that it ensure security of the activity conducted.

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Data for Good | Data Management

David DowningJune 7, 2016 0

Why evidence, not culture, is the key to driving value-based healthcare

The UK’s National Health Service (NHS) Confederation has done lots of great research on how to enhance decision making so that every decision delivers greater value to patients (in terms of clinical outcome) and to health care organisations (in terms of operational effectiveness). In its most recent report on this

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Data Management

master data management provides the single view of customer

Matthew MagneJune 6, 2016 0

In search of the Holy Grail: Sorry Hadoop fans, only MDM delivers single view of customer

Single view of customer. It's a noble goal, not unlike the search for the Holy Grail – fraught with peril as you progress down the path of your data journey. If you're a hotelier, it can improve your customer's experience by providing the information from the casinos and the spa at check-in to better meet your

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Data Management | Programming Tips

Mary Kathryn QueenJune 3, 2016 0

Using Multiple Quality Knowledge Base Locales in a DataFlux Data Management Studio Data Job

In DataFlux Data Management Studio, the data quality nodes (e.g., Parsing, Standardization, and Match Codes) in a data job use definitions from the SAS Quality Knowledge Base (QKB). These definitions are based on a locale (Language and Country combination). Sometimes you would like to work with multi-locale data within the

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Data Management

woman using social media on cell phone

Dylan JonesJune 1, 2016 0

Shifting ownership to the source – The future of MDM?

Most companies are battling with master data challenges whether they realise it or not. When you're consolidating financials from multiple billing systems, you're doing MDM. When you're migrating legacy systems to a new target environment, you're doing MDM. When you're trying to perform root-cause analysis across multiple systems for a

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Data Management

Patryk ChorośMay 31, 2016 0

Data Governance - pierwsze kroki - część 4 z 4

Na tym etapie nasza organizacja posiada określone dla programu Data Governance cele biznesowe oraz zarządza i współdzieli definicje pojęć biznesowych, którymi się posługuje. Ten logiczny obszar zarządzania danymi i informacją uzupełniony został o pomost do metadanych technicznych - w poprzednim kroku uzyskaliśmy jedno miejsce łączące informacje o technicznym przepływie danych w organizacji

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Data Management

James RuotoloMay 26, 2016 0

The real deal in fraud and financial crimes

Financial institutions evaluating fraud management solutions face a crowded vendor landscape. Dozens of vendors claim to offer various pieces of the puzzle. With so many choices available, how will you sort through the marketing rhetoric to find the best fit for your organization? You could assemble a team of analysts

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Analytics | Data Management

SAS ColombiaMay 25, 2016 0

Tres características del Big Data que transformarán su manera de tomar decisiones

La grandeza de sus datos probablemente no es la característica más importante. De hecho, puede que ni siquiera figure dentro de los aspectos relevantes por los cuales usted debería preocuparse. La calidad, la integración de los silos, la manipulación y la extracción de valor de los datos no estructurados siguen

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Data Management

woman contemplating MDM

Phil SimonMay 25, 2016 0

Does MDM need to be part of your data strategy?

.@philsimon on the role of MDM. TLDR: It depends.

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Data Management

Patryk ChorośMay 24, 2016 0

Data Governance - pierwsze kroki - część 3 z 4

Na tym etapie nasza organizacja posiada już określone cele biznesowe dla programu Data Governance (krok 0) oraz rozpoczęła zarządzanie pojęciami biznesowymi, które opisywał krok 1. Krok 2: śledzenie przepływu danych w organizacji Data Governance to nie tylko rozumienie znaczenia danych - to także świadomość, w jaki sposób te dane i

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Data Management

man working with data outside at night

David LoshinMay 23, 2016 0

Dovetail process flow and master data management

In my last post, I discussed the issue of temporal inconsistency for master data, when the records in the master repository are inconsistent with the source systems as a result of a time-based absence of synchronization. Periodic master data updates that pull data from systems without considering alignment with in-process

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Data Management | Internet of Things

confident woman fighting fraud and cybercrime with streaming data

Todd WrightMay 19, 2016 0

Streaming data analytics: A better way to fight fraud and cybercrime

The numbers are daunting. More than 40 million Americans have their identities stolen each year. Credit card companies lose more than $200 billion annually due to fraud. Cybercrime-related losses exceed $3 million per claim for large companies. If you’re like me, those stats are enough to give pause. To fuel the concern,

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Data Management

Patryk ChorośMay 17, 2016 0

Data Governance - pierwsze kroki - część 2 z 4

Po wprowadzeniu w zagadnienia Data Governance oraz określeniu celów biznesowych możemy przystąpić do realizacji pierwszych zadań w budowie programu Data Governance. Krok 1: biznesowe znaczenie danych Organizacje w prowadzeniu swojej działalności posługują się wieloma, specyficznymi np. dla branży, pojęciami. Samo zdefiniowanie kto dla firmy jest klientem jest niejednoznaczne w zależności

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Data Management

Simon TilleyMay 17, 2016 0

Gearing up for pharma’s big change

The pharmaceutical industry will undergo significant changes this summer. A set of standards for the identification of medicinal products (IDMP) from the European Medicines Agency (EMA) will take effect in July, requiring the whole industry to apply the terminologies released by EMA. The changes have raised many concerns regarding how

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Data Management

copule discussing credit application, represents MDM

David LoshinMay 16, 2016 0

Temporal consistency for master data

Master data management (MDM) provides methods for unifying data about important entities (such as “customer” or “product”) that are managed within independent systems. In most cases, there is some kind of customer data integration requirement for downstream reporting, and analysis for some specific business objective – such as customer profiling for

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Data Management | Internet of Things

Alan LipsonMay 14, 2016 0

Data, data everywhere…

It was John Allen Paulos who said, “Data, data everywhere, but not a thought to think.” That rings true more than ever before. Companies are struggling with the deluge of data coming at them from multiple channels. But traditional data channels are just the beginning. Companies also are facing an

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Data Management | Programming Tips

Mary Kathryn QueenMay 13, 2016 0

Improving matching results in DataFlux Data Management Studio with cluster comparison

Trusted data is key to driving accurate reporting and analysis, and ultimately, making the right decision. SAS Data Quality and SAS Data Management are two offerings that help create a trusted, blended view of your data. Both contain DataFlux Data Management Studio, a key component in profiling, enriching monitoring, governing

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Data Management

streaming data and man checking smart watch

Jim HarrisMay 13, 2016 0

The quality of data in motion

I've spent much of my career managing the quality of data after it was moved from its sources to a central location, such as an enterprise data warehouse. Nowadays not only do we have a lot more data – but a lot of it is in motion. One of the

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Data Management

Adrián MontesMay 12, 2016 0

La importancia de una gestión de datos adecuada en las organizaciones

Todas las organizaciones están buscando una ventaja competitiva para sobresalir entre la competencia, mejorar los procesos internos y adaptarse a las necesidades actuales de los clientes. Uno de los pasos primordiales de cualquier iniciativa de negocio es tener una gestión de datos adecuada, que permita asegurar una toma de decisiones

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Data Management

Alan CudneyMay 12, 2016 0

Hospitals, data and analytics (part 2): Optimism and progress

In my previous post, I wrote about the Quick Pulse survey of leaders of health care institutions and the vital role data and analytics has in patient care and engagement. In this post, I'll tell you what the survey had to say about the progress these leaders believe they are

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Data Management

Phil SimonMay 12, 2016 0

Considerations and tips for big data integration

.@philsimon asks some fundamental questions about taking the next step with #bigdata.

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