Insurance

Advanced Analytics | Analytics | Risk Management
Hartmut Kömme 0
Was bringt die Zukunft? Auswertung von Risiko-Szenario-Pfaden

Die Abbildung einer möglichen zukünftigen Situation ist eine Kernaufgabe des Risiko-Managements. Dazu werden unterschiedlich komplexe Modelle mit möglichen Szenarien durchgerechnet. Hierbei erhält man pro Szenario und Vorhersage-Zeitpunkt ein Ergebnis. Bei mehrperiodischen Vorhersagen (z. B. bei Kredit-Portfolien oder Lebensversicherungen) gibt es pro Szenario einen Ergebnis-Pfad. Im Folgenden zeige ich, wie man mit

Data Visualization | Learn SAS | Programming Tips
Sanjay Matange 0
Little things go a long way

In my previous post, I described a new options to control the widths of the caps for Whiskers, Error and Limit bars.  This topic could have been titled "Little things go a long way", as such details really make for a good graph. In a similar manner, another detail issue

Customer Intelligence
Oliver Börner 0
Richtige Kfz-Versicherung oder nicht …? Das zeigt sich erst, wenn was passiert

Autounfall und positives Kundenerlebnis? Wie passt das denn zusammen? Vor einigen Monaten ist es dann doch passiert: einmal unaufmerksam gewesen und Auffahrunfall in der Stadt verursacht. So ein Mist! Nicht wirklich schlimm – nur ein bisschen Blechschaden, aber super ärgerlich … Nachdem das Auto abgeschleppt und der erste Ärger verflogen

Data Visualization | Learn SAS | Programming Tips
Sanjay Matange 0
Spark table

In the previous post, I discussed creating a 2D grid of spark lines by Year and Claim Type.  This graph was presented in the SESUG conference held last week on SAS campus in the paper ""Methods for creating Sparklines using SAS" by Rick Andrews.  This grid of sparklines was actually the

Data Visualization | Learn SAS | Programming Tips
Sanjay Matange 0
Spark grid

The 25th annual SESUG conference was held at in the SAS campus this week.  I had the opportunity to meet and chat with many users and attend many excellent presentations.  I will write about those that stood out (graphically) in my view. One excellent presentation was on "Methods for creating

Data Visualization | Learn SAS | Programming Tips
Sanjay Matange 0
Legend order redux

Once in a while you run into a pesky situation that is hard to overcome without resorting to major surgery.  Such a situation occurs when you have a stacked bar chart with a discrete legend positioned vertically on the side of the graph.  A simple example is shown below. title

Data Visualization | Learn SAS | Programming Tips
Sanjay Matange 0
Legend items

Plot statements included in the graph definition can contribute to the legend(s).  This can happen automatically, or can be customized using the KEYLEGEND statement.  For plot statements that are classified by a group variable, all of the unique group values are displayed in the legend, along with their graphical representation

Data Visualization | Learn SAS | Programming Tips
Sanjay Matange 0
Tips and tricks: Segmented discrete axis

The previous post on Multiple Blank Categories showed how to include multiple blank categories on the axis.  But, given the purpose for this was to separate different segments in the data, I also included ideas on how to segmented a discrete axis using reference lines or Block Plot.  A similar idea

Advanced Analytics | Artificial Intelligence | Machine Learning
Andreas Becks 0
Artificial intelligence in insurance: Where does Europe stand?

Where does the European insurance industry stand in terms of advanced analytics, AI and automation? Do we see that traditional methods of data analysis are now being labeled by the term "machine learning"? Maybe the industry is more advanced than that: Are real chatbots, for example, already ubiquitous? Let's have

Advanced Analytics | Analytics | Machine Learning
Andreas Becks 0
Künstliche Intelligenz in der Versicherung: Wo steht Europa?

Wo steht eigentlich die europäische Versicherungswirtschaft in puncto Advanced Analytics, KI und Automatisierung? Erleben wir, dass gerade auch in der Assekuranz traditionelle Verfahren der Datenanalyse mit dem Begriff „maschinelles Lernen" überklebt werden? Oder ist die Branche hier schon deutlich weiter? Sind beispielsweise echte Chatbots wirklich schon allgegenwärtig? Aktuelle Einblicke gibt

Analytics | Data Management | Machine Learning
Deep learning: la nueva era de la inteligencia artificial

La aplicación de la inteligencia artificial en los negocios constituye un área en constante evolución cuya demanda aumenta día con día. Este fenómeno es resultado de la alta interacción máquina-humano que experimentamos en varios aspectos de nuestras vidas, así como de la necesidad constante de aprender y actuar de forma

Data Visualization | Learn SAS | Programming Tips
Sanjay Matange 0
Tips and tricks - Multiple blank categories on axis

Off and on, users have expressed the need to include multiple blank categories on a discrete axis.  Often, this is desirable to separate groups of bars (or categories) in a graph due to some difference their definition.  Such a case was discussed in this blog article on using non breaking

Data Visualization | Learn SAS | Programming Tips
Sanjay Matange 0
New Features in SAS 9.40M5 - Gradient fills

ODS Graphics procedures primarily strive towards the following goal:  "Make simple graphs easy and complex graphs possible".   SGPLOT procedure allows you create simple graphs with a single plot statement, and create complex graphs by layering together or combining multiple plot statements.  Generally, the appearance follows the guidelines set by industry

Data Visualization | Learn SAS | Programming Tips
Sanjay Matange 0
New features with SAS 9.40 M5

SAS 9.4 maintenance release 5 was released on Sept 19, 2017.  This release includes many new items including integration with SAS Viya and SAS Studio, a web application for SAS development.  Also Included with this release are some cool new features in the graphics domain, some of which were requested

Analytics | Risk Management
Thorsten Hein 0
The need for seamless risk and finance integration

The importance of risk management has always been clear in financial services, but it is growing in other industries, including energy and telecommunication companies. This importance is being amplified through increasing demand for risk and finance integration. Innovation in risk has often come from firms with complex trading books. This

Analytics | Data Visualization | Learn SAS | Programming Tips
Sanjay Matange 0
Getting started with SGPLOT - Part 8 - Horizontal HighLow Plot

On a recent visit to an In-House Users Group meeting at a Pharmaceutical company, I presented a 1/2 day seminar on creating Clinical Graphs using SG Procedures.  Polling the audience for their experience with these procedures indicated that many SAS users are not familiar with these new ways to create graphs. So,

Artificial Intelligence | Customer Intelligence
Tiffany Carpenter 0
Measuring up: robotic process automation versus real-time decision making

Editor's note: Tiffany Carpenter, Head of Customer Intelligence, SAS UK & Ireland sizes up the benefits of the two technologies and offers up a solution to businesses wanting the best of both. With constant pressure on profit margins, organisations need to strike a balance between improving cost efficiencies and customer

Analytics
Marco Heidelberger 0
Modernisierung im Kreditrisiko - Einschränkungen durch starre Strukturen und Prozesse

Einschränkungen durch starre Strukturen und Prozesse Die Abläufe im Kreditrisiko basieren oft noch auf alten Strukturen und Prozessen. Das betrifft die Methodik und die darunterliegende Technologie, aber auch die organisatorischen Prozesse und Informationsaufbereitung für die Entscheidungsträger. Geschwindigkeit und Flexibilität sind gefragt Dabei werden die Anforderungen der Regulatorik, aber auch der

Data Management
Rainer Sternecker 0
Bei DS-GVO „Auf-Sicht“-Fahren? Besser nicht!

Die EU-Datenschutz-Grundverordnung kommt näher – ausweichen oder draufhalten? In den letzten Wochen hatte ich die tolle Gelegenheit mit zahlreichen Kunden und Partnern über die neue EU-Datenschutz-Grundverordnung (DS-GVO) zu sprechen. Die Meinungen und Erwartungen sind dabei wirklich außerordentlich breit gefächert. Das ist nicht weiter verwunderlich, denn das Thema hat zuletzt stark an

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