Data governance implications for the chief data officer
Reconsider conventional assumptions about data governance – three suggestions for chief data officers.
Tag: data governance
5 principles of data management for analytics
Joyce Norris-Montanari cites five things she considers essential to data management for analytics.
Data management for analytics: Best practices and examples
Focus on data governance, quality and storage if you want to do data management for analytics right.
Data lake management for analytics
Jim Harris warns against allowing your data lake to become a poorly managed and ungoverned data dumping ground.
Data governance policies: Key to analytics innovation?
Better decisions and analytics innovation – fringe benefits of having comprehensive data governance policies.
GDPR (now that the dust has settled)
Joyce Norris-Montanari shares tips to help those who are still working to address GDPR requirements.
GDPR: Privacy risk, sensitivity, data classification
GDPR requires more than a simple privacy policy update. David Loshin outlines changes needed in the data management environment.
Data retention strategy – Part 2
Don't be a data hoarder. Jim Harris shares guidelines for a data retention strategy.
Data governance – The topic that never dies
Todd Wright says data governance is more relevant than ever – especially in light of the GDPR.
Data retention strategy – Part 1
Jim Harris asks: Do you retain and maintain data, or do you have a data retention strategy?
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
Data lake governance – Do you need it?
Kim Kaluba gives examples of the benefits of data governance for data lakes.
Datenmanagement – eine lästige Pflicht? Schon lange nicht mehr!
Datenmanagement ist ein alter Bekannter aus der IT – und andererseits ein neuer „Hidden Champion“ im digitalisierten Unternehmen. Warum? Weil Datenintegration und -aufbereitung einerseits eine ureigene und unverzichtbare Aufgabe der IT ist, deren Bedeutung weiter wächst. Andererseits aber stehen vor dem Hintergrund von datenbasierten Geschäftsprozessen und -modellen auch die Mitarbeiter
The GDPR final stretch – A roundup of topics
Todd Wright summarizes several GDPR-related blog posts that cover topics ranging from what the GDPR means to how you can manage consent.
Die Rohdaten sind mein, die Erkenntnisse dein (DSGVO)
Die Umsetzung der DSGVO duldet keinen Aufschub. Der Stichtag rückt näher, die Übergangsphase ist jetzt. Panik? Nicht doch! Atmen Sie durch und priorisieren Sie. Fragen Sie sich, über welche Bereiche die Regulatoren und Verbraucher am ehesten „stolpern“ könnten. Schließlich stellt die DSGVO auch eine Chance dar. Viele Unternehmen, die teilweise
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
Data governance steers a data-driven business
Jim Harris shows how data-driven businesses incorporate three aspects of data governance to guide their decisions.
Understand the data for omnichannel
Once you have a data strategy for omnichannel, what's next? Kim Kaluba explains.
Data preparation for business users – What's the value?
Joyce Norris-Montanari says IT and business need to work together when giving business users self-service data preparation tools.
Does self-service data preparation improve collaboration?
David Loshin describes some steps you can take to ensure that self-service data preparation improves collaboration.
Where to start with omnichannel?
Kim Kaluba says start the journey toward ominchannel with a data strategy based on governance.
The SAS platform – It all starts with data management
To get full value from analytics programs, Todd Wright says be sure you can first access, integrate, cleanse and govern your data.
How does data on demand (for different users) change a data strategy?
Joyce Norris-Montanari says focus on data quality and governance, privacy and security when providing data on demand.
Naming things revisited
David Loshin recommends enforcing governed standards to help avoid conflicting analytical results.
Addressing consent management in GDPR
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
Kunde360 ist Anbieter360!
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,
The pros and cons of data on demand
Phil Simon chimes in on the immediacy of enterprise data.
The data governance path to AnaCredit
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
Move "mountains" and build a trusted data foundation with SAS Data Quality
Matthew Magne describes how SAS Data Quality can help you build a trusted data foundation, one stone at a time.
On the way to data lakes and Hadoop – Part 2
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.