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SAS User Forum 2017: Copenhagen 15 June

by SAS Employee DorteBrix ‎06-14-2017 09:14 AM - edited ‎06-20-2017 05:34 AM (689 Views)

Presentation number 25 and 89 does not have a PDF. The presenters did not want to publish their presentation.

Number Title Presenter(s)
1 SAS-drevne Powerpoints uden SAS Office Tomislav Kajinic & Jingyu She, Danica Pension
2 En praktisk implementering af krypterede password i Nykredit Jesper Michelsen, Nykredit
5 Using Subversion as a change management tool for SAS® code Skúli Geir Jensson & Bjarnsteinn Thorsson, Landsbankinn
6 Få SAS® til at skrive SAS® Steen Rasmussen, Region Hovedstaden
7 WHERE virker (ikke) altid mod en database - hvad gør jeg? Jesper Michelsen, Nykredit
10 SAS® Metadata Security Journey – prepare to be audited! Michelle Homes, Metacoda
11 Application of discrete event simulation to smart meter deployment Michael Berliner Pedersen, SAS Institute
12 The SET statement in the DATA Step  Henrik Dorf, SAS Institute
13 To die, or not to die – experiences from competing at a global data science competition Petri Roine, SAS Institute
15 The Languages of SAS® Viya – A SAS Programmer’s Primer Amy Peters, SAS Institute
16 SAS Visual Analytics and the New Experience Carl-Olow Magnusson, SAS Institute
17 Detect, Protect, and Monitor Personal Data Cecily Hoffritz, SAS Institute
18 Nyheder i SAS® Analytics 14.2 Anders Milhøj, København Universitet
20 Building an Analytics Culture Patric Hellgren, SAS Institute
25 Hvordan kommer du godt i gang med data science i din virksomhed?  Anders Richter, Knowit Decision Danmark A/S
29 Using SAS® as Migration tool for SAS Modernization Henrik Dorf, SAS Institute
34 The Future of SAS® Enterprise GuideTM and SAS Studio Amy Peters, SAS Institute
48 Harnessing digital customer-level data for better decision-making using SAS® 360 Discover Mia Patterson-Brennan, SAS Institute
49 Leveraging embedded analytics to build customer journeys using SAS® 360 Engage Mia Patterson-Brennan, SAS Institute
52 Maximizing campaign efficiency using MOMA Nicolas Gynild & Anette Baxmann, SAS Institute
53 Use experiments in SAS® Marketing Automation to gain insights into your campaigns Jorge Gonzalez Flores, Nordea
59 Data can be beautiful: crafting a compelling story with SAS® Visual Analytics Cheryl L. Coyle, SAS Institute
60 Real-time marketing exploiting state-of-the-art SAS® technologies Morten Schrøder & Simon Topp, SAS Institute
64 How to flirt a cluster analysis using SAS® Visual Statistics Sara Armandi, SAS Institute
65 Brug af Quality Knowledge Base til at finde og fikse problemer i dine data Ole Steen, SAS Institute
66 Using SAS® Text Analytics within healthcare Christian Hardahl & Christian Jensen, SAS Institute
67 Audit in SAS using SAS® Environment Manager Rune Bay Nordtorp, SAS Institute
68 The Panama Papers: Using SAS® Visual Investigator to gain insights into tax evasion Mads Krogh, SAS Institute
69 Nyt standardiseret serversetup i SAS®9.4 og governance-struktur for SAS® Data Integration Studio. Ali Chohan & Mikael D. Aagaard, SDC A/S
70 Datadrevet tilgang til fastholdelse af studerende på University College Syddanmark. Hvem er i høj ri... Martin Sørensen, SAS Institute
72 Data Step i SAS® Viya™: Vigtigste nye muligheder Torben Juul Johansson, SAS Institute
73 SAS Visual Analytics erfaringer - Paneldebat Jais Tindborg, TDC, Henrik Obling, Jyske Bank, Ivan Roth, Odense Kommune & Jeppe Deigaard, SAS Institute
74 Design Visual Analytics-rapporter for bedst mulig performance Torben Skov, SAS Institute
75 Rapportdesign hos STAR Daniel Vizel, Styrelsen for Arbejdsmarked og Rekruttering (STAR)
76 Lookup methods in SAS®: Two hidden methods Georg Morsing, SAS Institute
77 News in SAS® 9.4 M4 for SAS Programmers Georg Morsing, SAS Institute
78 Statistisk dataanalyse af EFI-gælden (Et Fælles Inddrivelsessystem) Kaare Brandt Petersen, SAS Institute
79 Fra modeludvikling til deployment – implementering af IFRS 9-projekt hos SDC Peter Brinch, SAS Institute
80 Disaster recovery – har du en plan for dit SAS®-miljø? Thomas Damgaard, SAS Institute
82 Using machine learning to predict the price of used cars Michael Sperling, SAS Institute
84 Hvordan bekæmper Alm. Brand forsikringssvindel med SAS® Fraud Framework for Insurance? Brian Egested, Alm. Brand A/S & Søren Lindhardt Olsen, SAS Institute
87 Making the Best Decisions in Your Data Management Processes with SAS Decision Manager Lasse Olsen, SAS Institute
88 En rekord er sat ! Martin Hornskov, SDC
89 Udrulning af SAS® Visual Analytics som en serviceydelse Anders Stokvad, Telia Company
90 Finding out about formats and their attributes Barbara Biørn Olsen, SAS Institute
91 The DATA Step Debugger and other news in SAS® Enterprise Guide® Barbara Biørn Olsen, SAS Institute
92 Introduktion til Visual Data Mining og Machine Learning Astrid Vestergård, SAS Institute
93 The future of the SAS® Platform – SAS®9 & SAS® Viya™ Gert Nissen, SAS Institute
94 New releases of SAS® Data Management Gert Nissen & Lasse Olsen, SAS Institute
105 Scaling your apps with SAS Grid! Muhammad Asif Abbasi, SAS Institute