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
Tag: data governance
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
The deadline is looming. The new regulation will be a trial by fire for interactions with customers, colleagues and regulatory authorities. Are you ready for this? And what has your company done to prepare? At SAS, we wanted to get a feel for where people are, so we conducted a
In case you still haven’t noticed, the GDPR is approaching as sure as spring. Despite the anticipation, most organisations are quite comfortably waiting for the day to arrive. The consultant-forecasted GDPR panic never arrived, at least not in the way that we in the industry were expecting. I regularly meet
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
Having been involved in some capacity in more than 100 Customer Intelligence (CI) sales and implementation cycles, one of the most common questions perspective clients ask me is: “What do we need to do to make this project successful?” Over the years, I have distilled six themes that ultimately determine
Karen, in our last talk we discussed the importance of a professionally organized Data-Quality-Management. Today I want to go in a little bit more detailed. Could you describe what is important implementing Data Governance processes? How should such a data governance process be designed? For an efficient data governance process,