Blogs

Blogs

Data Management

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

Data Management

man in server room contemplating data lakes

David LoshinAugust 1, 2016 0

Crowdsourcing data assets in the data lake

A long time ago, I worked for a company that had positioned itself as basically a third-party “data trust” to perform collaborative analytics. The business proposition was to engage different types of organizations whose customer bases overlapped, ingest their data sets, and perform a number of analyses using the accumulated

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Data Management

Phil SimonJuly 28, 2016 0

ETL and data warehouses are dead! Long live ETL and data warehouses!

Why they will still play a valuable role in organizational data-management and -integration efforts.

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Data Management

Joyce Norris-MontanariJuly 27, 2016 0

Hadoop and MDM – Who is the master?

Today, I was in a conversation about using Hadoop (a big data platform) for master data management (MDM). I still find it amazing when we have the discussion of what systems feed another system. Many of our friends have spent years creating MDM for customer, product, etc. with success. I'm a

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Data Management

Dylan JonesJuly 26, 2016 0

Modernisation is the new normal

In my last post, I talked about how to observe the impact of modernisation through a data quality lens. I asked you to consider the quality of your legacy data and what that means on the "shiny new toy" you intend to buy in the future. In this post, I

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Data Management | Programming Tips

Nicolas RobertJuly 25, 2016 0

Four ways to conduct a web search for business terms with SAS Business Data Network

SAS Business Data Network is SAS’ solution for managing glossaries of common business terms. This is part of the SAS Data Governance offering as well as bundled with Advanced versions of all SAS Data Management bundles. One thing that is important regarding Data Governance in general, and this solution in

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Data Management | Programming Tips

Mary Kathryn QueenJuly 21, 2016 0

Using an alternate Quality Knowledge Base (QKB) in a DataFlux Data Management Studio data job

In DataFlux Data Management Studio, the predominate component of the SAS Data Quality bundle, the data quality nodes in a data job use definitions from something called the SAS Quality Knowledge Base (QKB). The QKB supports over 25 languages and provides a set of pre-built rules, definitions and reference data

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Data Management

Phil SimonJuly 20, 2016 0

Four DI modernization mistakes

.@philsimon with some recommendations on modernization.

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Data Management

Patryk ChorośJuly 19, 2016 0

Data Governance – first steps – part 4 of 4

At this stage, our organization has defined business objectives for Data Governance programme and shares business term definitions which it uses. This logical area of data and information management has been supplemented with a bridge to technical metadata – in the previous step we obtained one place, which combines the

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Data Management

laptop represents modern data-driven culture

Jim HarrisJuly 18, 2016 0

Modernization and data-driven culture – Part 2

Modernization is a term used to describe the necessary evolution of information technologies that organizations rely on to remain competitive in today’s constantly changing business world. New technologies – many designed to better leverage big data – challenge existing data infrastructures and business models. This forces enterprises to modernize their approach to data

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Data Management

man at computer considering data ops

Chris HartmannJuly 14, 2016 0

Data ops: Better way to prepare data for analytics and IoT?

We all find change easier when it starts with something we’re familiar with. That’s why I think sports analytics examples are popular – most of us are sports fans, so we get it more easily. It’s also why automotive examples that illustrate the potential reach of the Internet of Things

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Data Management

water representing data lake

David LoshinJuly 13, 2016 0

A modernized approach to data lake management

In my last post, I started to look at the use of Hadoop in general and the data lake concept in particular as part of a plan for modernizing the data environment. There are surely benefits to the data lake, especially when it's deployed using a low-cost, scalable hardware platform.

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Data Management

business people discussing data-driven organizations

Jim HarrisJuly 11, 2016 0

Modernization and data-driven culture – Part 1

Modernization is a term used to describe the necessary evolution of information technologies that organizations rely on to remain competitive in today’s constantly changing business world. New technologies – many designed to better leverage big data – challenge existing data infrastructures and business models. This forces enterprises to modernize their approach to data

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Data Management

Why is data management important? Infographic

Phil SimonJuly 7, 2016 0

Modernization starts at the top

Absent a strong executive presence, most mature organizations will continue to muddle through data integration.

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Data Management

man evaluating MDM and Hadoop

Joyce Norris-MontanariJuly 6, 2016 0

MDM and Hadoop – Part 1

How many companies are using Hadoop as part of their master data management initiative? Come on, raise your hands! Well, maybe a better question is this: How many companies are using Hadoop for enterprise data? From what I have seen, Hadoop is coming along quite nicely. However, it may not be the

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Data Management

Patryk ChorośJuly 5, 2016 0

Data Governance - first steps - part 3 of 4

At this stage our organization has already defined the business objectives for Data Governance programme (step 0) and started to manage business terms, as described in step 1. Step 2: tracking data flow in organization Data Governance is not only related to understanding the data – it also focuses on

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Data Management

Carmen GallagherJuly 3, 2016 0

The three P’s of data monetisation

Data monetisation is a hot topic these days. Especially for people like me watching the movements of early adopters – companies who are using data to create new revenue streams or even create new businesses to capture those revenue streams. DataStreamX is a notable start-up whose sole business is cashing

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Data Management

Discussing data quality and modernization

Dylan JonesJune 29, 2016 0

How to observe the impact of modernisation through a data quality lens

At some point, your business or IT leaders will decide – enough is enough; we can't live with the performance, functionality or cost of the current application landscape. Perhaps your financial services employer wants to offer mobile services, but building modern apps via the old mainframe architecture is impractical and a replacement

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Data Management

waterfall represents data pouring into data lake

David LoshinJune 27, 2016 0

Leveraging the data lake concept for data modernization

More and more organizations are considering the use of maturing scalable computing environments like Hadoop as part of their enterprise data management, processing and analytics infrastructure. But there's a significant difference between the evaluation phase of technology adoption and its subsequent production phase. This seems apparent in terms of how organizations are

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Data Management

golfer contemplating data scientists and modernization

Phil SimonJune 22, 2016 0

Thoughts on data scientists, data modernization and golf

What's more, CXOs who believe that they can substitute data scientists for real data integration are as foolish as the duffer who consistently uses the wrong club.

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Data Management

Patryk ChorośJune 21, 2016 0

Data Governance - first steps - part 2 of 4

Having introduced the term of Data Governance and defined business objectives, we can start to fulfill the first tasks within Data Governance programme construction. Step 1: business meaning of data While conducting their activity, organizations use many industry-specific terms. The mere definition of who a customer is for the company

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Data Management

Dylan JonesJune 20, 2016 0

MDM is a journey, not a project

Fellow Roundtable writer David Loshin has commented in the past that: "MDM is popular because it is presented as a cure-all solution to all data problems in the organization." Many people see master data management (MDM) as the silver bullet to all of their business and data woes. But in

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Customer Intelligence | Data Management

women in restaurant, customer intelligence and MDM

Phil SimonJune 16, 2016 0

Examining the relationship between MDM and customer intelligence

.@philsimon on whether organizations need MDM to gather valuable insights about their customers.

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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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