Joyce Norris-Montanari says focus on data quality and governance, privacy and security when providing data on demand.
David Loshin recommends enforcing governed standards to help avoid conflicting analytical results.
When we talk about consent management for the EU’s General Data Protection Regulation (GDPR), one of the key considerations is “consent for a purpose.” It might have been sufficient in the past to provide a form with a single generic consent check box and store the fact that consent was
Der Datenschutz macht‘s möglich: Customer Intelligence 360 geht in die nächste Dimension! Der Kunde360, „Omni-Channel“, „Data-driven Marketing“ – wer hat in den letzten zwölf Monat davon gehört? Oder, ich versuche es mal anders rum: Wer hat nicht davon gehört? Ja, richtig – wir sind im Bereich Customer Intelligence/Marketing. Und alles,
Phil Simon chimes in on the immediacy of enterprise data.
Many of the regulations coming into effect after 2010, are the result of the financial crisis that has significantly re-shaped the financial industry worldwide and especially in Europe. One of the major projects that has been undertaken by the statistics team of the ECB, launched in 2011, is the setup
Matthew Magne describes how SAS Data Quality can help you build a trusted data foundation, one stone at a time.
In part 2, Jim Harris explains more about why you should address data quality and governance issues on the way to data lakes and Hadoop.
.@philsimon chimes in on some oft-overlooked differences.
Welche Rolle Datenqualität und Data Governance beim Data Management für Analytics spielen, habe ich mit meinem Kollegen Gerhard Svolba zuletzt an dieser Stelle diskutiert. Doch was genau macht modernes Datenmanagement aus, und welche Rolle spielen dabei neue Technologien à la Hadoop und Co.? Und wie sieht überhaupt die künftige Zusammenarbeit
Data-driven businesses outperform competitors. Matt Magne says SAS Data Governance and SAS MDM can help you get there.
Dylan Jones says spend time setting a vision of how to transform your data landscape – not debating definitions.
Analise Polsky says analytics success for midsize business depends on getting the basics right and maintaining a data focus.
In just a few short months the European General Data Protection Regulation becomes enforceable. This regulation enshrines in law the rights of EU citizens to have their personal data treated in accordance with their wishes. The regulation applies to any organisation which is processing EU citizens’ data, and the UK
Like getting into good shape, Jim Harris says we must carefully measure adherence to regulatory compliance – using both internal and external measures.
Platform and strategy are core to compliance, but Jim Harris says commitment from people across the organization is just as important and harder to achieve.
David Loshin describes three sets of policies required for ensuring compliance with data protection directives for health care.
.@philsimon advises to be wary of those promising obvious and facile solutions to increasingly challenging governance and privacy issues.
Corporate compliance with an increasing number of industry regulations intended to protect personally identifiable information (PII) has made data privacy a frequent and public discussion. An inherent challenge to data privacy is, as Tamara Dull explained, “data, in and of itself, has no country, respects no law, and travels freely across borders. In the
The term compliance is most often associated with control. It evokes visions of restrictions, regulations and security protecting something which is to remain private. The term open is most often associated with access, and it evokes visions of an absence of restrictions, regulations and security – making something available which is
Achieving GDPR compliance is impossible without Data Management and Data Governance. That's a bold statement but it is borne out by any in-depth examination of the tasks necessary to achieve compliance. Let's take a look at a few of the things that regulators require when interacting with organizations around personal
I've been working on a pilot project recently with a client to test out some new NoSQL database frameworks (graph databases in particular). Our goal is to see how a different storage model, representation and presentation can enhance the usability and ease of integration for master data indexes and entity
As the application stack supporting big data has matured, it has demonstrated the feasibility of ingesting, persisting and analyzing potentially massive data sets that originate both within and outside of conventional enterprise boundaries. But what does this mean from a data governance perspective?
.@philsimon looks at the challenges and opportunities that big data pose for data governance.
Data governance seems to be the hottest topic at data-related conferences this year, and the question I get asked most often is, “where do we start?” Followed closely by how do we do it, what skills do we need, how do we convince the rest of the organisation to get
During a data quality assessment, one of my clients discovered that a large chunk of data that ultimately fed into their business analytics engine was sourced externally. After examining the contracts surrounding this data, I found that 100% of it failed to possess service-level agreements (SLAs) for the quality of
Karen, in unserem letzten Gespräch haben wir über die Bedeutung von professionellem Datenqualitäts-Management und über die erforderliche organisatorische Einbettung gesprochen. Jetzt möchte ich etwas konkreter werden. Beschreibe doch mal, worauf es bei der Umsetzung ankommt? Wie sollte sich ein solcher Data Governance Prozess gestalten?
I was surprised to learn recently that despite the reams of laws and policies directing the protection of personally identifiable information (PII) across industries and government agencies, more than 50 million Medicare beneficiaries were issued cards with a Medicare Beneficiary Number that's based on their Social Security Number (SSN). That's
Historically, before data was managed it was moved to a central location. For a long time that central location was the staging area for an enterprise data warehouse (EDW). While EDWs and their staging areas are still in use – especially for structured, transactional and internally generated data – big
@philsimon says that it's downright silly to ignore the benefits of thinking about data-related issues in different and unexpected ways.
