A business glossary improves data quality – one of the top five ways it makes analytics better.
Tag: data governance
David Loshin reminds us that data protection compliance applies to different individuals in different contexts – and not just GDPR and CCPA.
What's the impact of using data governance and analytics for the business side of education? It's an interesting question, and during a video interview, Dale Pietrzak, Ed.D., Director of Institutional Effectiveness and Accreditation (IEA) at the University of Idaho shared details on the results they're realizing from using SAS for data
Learn why Jason Simon from UNT calls data governance critical.
Learn about the role data classification plays when governing a diversity of data policies.
Expect to lose time if you don't include a data steward in your project until you're reviewing the data model.
IFRS 9 came into force on 1 January 2018. It is fair to say that the implementation projects have generally taken rather longer than planned, and the long-term impact remains unclear, but broadly speaking, banks can be said to have managed the process reasonably well. However, with implementation costs running
David Loshin examines various aspects of data governance that are essential for regulatory compliance.
Encouraging data sharing can sometimes feel like refereeing kids on Christmas morning. “Mom said you have to SHARE!” my sister bawled, grabbing at the Game Boy in my hand as I held the toy just out of her reach. I had just gotten it as a Christmas present and had
Dass IFRS 9 spürbare Herausforderungen im Hinblick auf die Implementierung bringen würde, war von Anfang an klar. Neben den technischen Hürden haben sich Banken schon in einem sehr frühen Stadium den strengen Prüfungen durch Regulatoren, Investoren und Rating-Agenturen, Aufsichtsräten sowie externen und internen Prüfern stellen müssen. Doch verantwortungsbewusste und weitsichtige
Considering the growing amount of data available and the rise of edge computing, we can expect rapid growth for AI and decisions on the edge (addressed in AI on the edge will kick IoT market adoption, not 5G). All of this influences how we can cope with the speed of
What is Data Preparation and why does it matter? Data preparation is all the tasks involved in collecting, processing, and cleansing data for use in analytics and business intelligence. It therefore includes accessing, loading, structuring, purging, unifying (joining), adjusting data types, checking fields to see that only valid values are
IFRS 9 was always going to provide implementation challenges for banks. Besides the purely technical issues, there has been significant scrutiny from a very early stage involving regulators, investors and rating agencies, supervisory boards, and both external and internal auditors. However, it is not all bad: addressing the implementation challenges
Data management gets lost in the enthusiasm around Artificial intelligence (AI) and machine learning (ML). Not surprising, when it's an algorithm that decides what search results to show you, guides the self-driving cars on the roads, and powers the anti-fraud bots that monitor every credit card transaction we make. Charles
Reconsider conventional assumptions about data governance – three suggestions for chief data officers.
The line that inspired this blog’s title is perhaps one of the most famous in world literature. But the entire speech of Hamlet by William Shakespeare is something that reflects the thought many involved in customer data platforms (CPDs) face daily: What is the right decision? This blog around the question
Focus on data governance, quality and storage if you want to do data management for analytics right.
In my previous blog post I have described the tension between privacy and innovation. In this post I will discuss how to deal with this and transform challenges into opportunities. The ingredients of privacy-friendly innovation Having rules and ways to enforce those rules is key. What else do we need to innovate
We have been introducing in my previous blog article the link between data governance and GDPR compliance, it is time to put more meat on the bone. In the context of GDPR, one of the main challenges for data controllers and data processors is to demonstrate compliance by documenting all
It is a truth universally acknowledged – if not always acted upon – that advanced analytics, and AI in particular, need data. What’s more, it needs lots of data, and it needs to be relevant and of good quality. Companies with access to more data tend to perform better, which
Better decisions and analytics innovation – fringe benefits of having comprehensive data governance policies.
Data governance is not an old concept; at SAS we have been pitching data governance benefits for years. However, it is often seen as something that is nice to have, even though it is a recognized method for mitigating risk, increasing operational efficiency, and enabling innovation. This is the first