Author

Helmut Plinke RSS
Principal Business Solutions Manager

Helmut Plinke acts as Principal Business Solutions Manager for SAS, focusing on data quality and data governance technologies. Helmut is an enthusiast of data quality technologies to improve fitness of data and thereby help businesses to improve efficiency and gain competitive advantages. In his current role Helmut supports customers in designing enterprise data management solutions based on SAS technology. He is a specialist in data quality and data integration technologies for a long time now and has been part of some of the major SAS data quality and data governance projects in DACH and the Netherlands recently. With over 15 years of experience across multiple industries Helmut has also gained a wealth of knowledge and experience in technologies like business intelligence, content management and enterprise application integration from his past roles with other companies. Helmut has published in IS Report and speaks about the topic of data management at SAS and public conferences sharing his project experience and knowledge.

Analytics | Data Management

Helmut PlinkeApril 18, 2018 0

Stellt die DSGVO die Analytics-Welt auf den Kopf?

Die am 25. Mai 2018 zur Anwendung kommende Datenschutz-Grundverordnung (DSGVO), oder auch GDPR (General Data Protection Regulation genannt), ist in der letzten Zeit in aller Munde gewesen. Besonders deren Auswirkungen auf einzelne Branchen oder auf spezielle Unternehmensbereiche wie Marketing und Vertrieb wurden vielfältig diskutiert. Parallel haben Softwarehersteller und Beratungsunternehmen erste

German

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

German

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

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

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

Analytics | Data Management

businesswoman prepared to explain why you should modernize your data management

Helmut PlinkeJuly 5, 2017 0

Need faster analytics? Modernize your data management platform.

Helmut Plinke explains why modernizing your data management is essential to supporting your analytics platform.

English

Advanced Analytics

Helmut PlinkeApril 25, 2017 0

How to configure Oracle client for successful access to Oracle databases from SAS Viya

SAS Data Connector to Oracle lets you easily load data from your Oracle DB into SAS Viya for advanced analytics. SAS/ACCESS Interface to Oracle (on SAS Viya) provides the required SAS Data Connector to Oracle, that should be deployed to your CAS environment. Once the below described configuration steps for

English

Data Management

Helmut PlinkeDecember 5, 2016 0

How SAS supports the four pillars of a data quality initiative

Data quality initiatives challenge organizations because the discipline encompasses so many issues, approaches and tools. Across the board, there are four main activity areas – or pillars – that underlie any successful data quality initiative. Let’s look at what each pillar means, then consider the benefits SAS Data Management brings

English

Data Management

Helmut PlinkeNovember 9, 2016 0

Using suggestion-based matching in SAS Data Quality

We all have challenges in getting an accurate and consistent view of our customers across multiple applications or sources of customer information. Suggestion-based matching is a technique found in SAS Data Quality to improve matching results for data that has arbitrary typos and incorrect spellings in it. The suggestion-based concept

English

Data Management

Helmut PlinkeAugust 30, 2016 0

Improve matching results with suggestion based matching in SAS Data Quality

Have you ever had problems matching data that has typographical errors in it? Because of the nature of arbitrary typos and incorrect spelled words a specific matching technique is required to tackle those cases. SAS Data Quality, with its traditional, in nature deterministic matching approach is by nature not best

English

Data Management

Helmut PlinkeDecember 17, 2015 0

Regulatory requirements drove new data quality projects in 2015

In 2014, big data was on everyone’s mind. So in 2015, I expected to see data quality initiatives make a major shift toward big data. But I was surprised by a completely new requirement for data quality, which proves that the world is not all about big data – not

English

Data Management

Helmut PlinkeJanuary 23, 2015 0

Big data quality

Utilizing big data analytics is currently one of the most promising strategies for businesses to gain competitive advantage and ensure future growth. But as we saw with “small data analytics,” the success of “big data analytics” relies heavily on the quality of its source data. In fact, when combining “small” and “big” data

English

Data Management

Helmut PlinkeDecember 30, 2014 0

Why master data management is more than just data quality

I have participated in many discussions about master data management (MDM) being “just” about improving the quality of master data. Although master data management includes the discipline of data quality, it has a much broader scope. MDM introduces a new approach for managing data that isn't in scope of traditional data quality

English

Blogs

Blogs

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