Manufacturing

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

Advanced Analytics | Analytics
Christian Goßler 0
Lenin und der Rote Rapper im Internet of Ticks (IoT5)

„… Internet, Internet, ich hör‘ hier immer Internet. Sag’n Se‘ ma‘, ganz richtig ist das nicht!“ Der Service-Manager errötet nach seinem Rap. Lenin schwankt zwischen Belustigung und bolschewistischem Ingrimm: Stellt der Rote Rapper seine Erfolge im Internet of Things infrage? Der Rapper fährt fort: „Denn diese Daten, die Sie verbraten,

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

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 | 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,

Advanced Analytics | Machine Learning
Charlie Chase 0
Is demand sensing and shaping a key component of your company’s digital supply chain transformation?

Depending on who you speak with you will get varying definitions and opinions regarding demand sensing and shaping from sensing short-range replenishment based on sales orders to manual blending of point-of-sales (POS) data and shipments.        Most companies think that they are sensing demand when in fact they are

Advanced Analytics | Analytics | Internet of Things
Cornelius Kimmer 0
Edge Analytics - So kommt Analytics in den Truck (Teil 3) HEUTE: Konfiguration der Software

ODER: Wie erstelle ich ein Edge Analytics Case auf Basis von SAS ESP, SAS Streamviewer und eines Modelltrucks? Das beschreibe ich in Teil 3. Rückblick: Im ersten Teil wurden die Idee und der Inhalt der SAS Streaming-Analytics-Demo beschrieben. Im zweiten Teil sind die einzelnen technischen Komponenten sowie die Software aufgelistet. Im

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

Advanced Analytics | Customer Intelligence | Machine Learning
Maarten Oosten 0
Bots, collusion and accountability in pricing

In the recent article, “Price-bots can collude against consumers,” the Economist discusses the consumer effects of prices set by price-bots. The article starts with an example of gasoline pricing strategies on Martha’s Vineyard. With a small number of gas stations on the island, the price-bots can cover all competitor prices frequently

Advanced Analytics | Analytics | Data Management | Machine Learning
Charlie Chase 0
At the end of the day, it’s all about analytics-driven forecasting

Analytics-driven forecasting means more than measuring trend and seasonality. It includes all categories of methods (e.g. exponential smoothing, dynamic regression, ARIMA, ARIMA(X), unobserved component models, and more), including artificial intelligence, but not necessarily deep learning algorithms. That said, deep learning algorithms like neural networks can also be used for demand forecasting,

Analytics | Data Visualization
대덕전자, ‘빅데이터 시각화’를 통해 제조 품질 극대화

최근 금융, 통신, 자동차, 공공, 리테일, 교육 등 모든 산업을 관통하고 있는 한 단어가 있습니다. 바로 4차 산업혁명인데요. 빅데이터, 사물인터넷(IoT), 인공지능(머신러닝), 로봇 등 첨단 ICT 기술의 융합으로 완성되는 4차 산업혁명은 미래 산업의 필수 성장 동력으로 자리잡았습니다. 그 중에서도 특히 제조업은 이른바 ‘인더스트리 4.0’의 촉발과 함께 그 새로운 혁명의 시작을 알렸는데요.

Analytics
Sandra Hernandez 0
Experimente las nuevas posibilidades: Precisión al ver con claridad

Ya no se trata de imaginar cosas. Cada día las empresas enfrentan miles de desafíos. Desde decisiones de negocio hasta procesos operativos, pasando por la manera de relacionarse con sus clientes o de preparar los informes de cumplimientos regulatorios o cuidarse de los ataques o fraudes. No son escenarios que

Advanced Analytics | Analytics | Internet of Things
Christian Goßler 0
Lenin und die Strombaukunst im Internet of Throughput (IoT4)

„Durchsatz ist wichtig, jaja“, Supply-Chain-Leiter Herr Aklit lehnt sich zurück, faltet seine Hände über dem üppigen Bauch und sagt zu Lenin: „Sie haben ja schon einiges in Fluss gebracht mit Ihren Projekten zur Datenanalyse im Internet of Things.“ Er atmet tief durch und schaut aus dem Fenster: „Alles fließt …“,

Data Visualization
Sanjay Matange 0
Category highlighting

When presenting information in form of a graph we show the data and let the reader draw the inferences.  However, often one may want to draw the attention of the reader towards some aspect of the graph or data.  For one such case, a user asked how to highlight one

Advanced Analytics | Analytics | Machine Learning
Charlie Chase 0
Straight talk about forecasting and machine learning

Are you caught up in the machine learning forecasting frenzy? Is it reality or more hype?  There's been a lot of hype about using machine learning for forecasting. And rightfully so, given the advancements in data collection, storage, and processing along with technology improvements, such as super computers and more powerful

Analytics | Internet of Things
Gastbeitrag 0
SAS Forum Deutschland - Gastbeitrag von Freudenberg IT zu IoT, Digitalisierung

Sagen wir es, wie es ist! Beginnt ein Text mit In Zeiten von Globalisierung und Digitalisierung, mag das bei vielen Lesern mittlerweile heftige Verstimmungen auslösen und wenig Lust auf Weiterlesen machen. Ständig wird von irgendwelchen Experten erklärt, dass es allerhöchste Eisenbahn für den nächsten digitalen Schritt sei. Im Grunde müsste

Advanced Analytics | Analytics | Customer Intelligence | Data Management | Internet of Things
Andreas Gödde 0
Die Uhr tickt – Zeit für einen Umsetzungsplan zur EU-Datenschutz Compliance

In nahezu einem Jahr findet die neue EU-Datenschutz-Grundverordnung (DSGVO) Anwendung. Wer bisher dachte, das hat noch Zeit und wird nicht so heiß gegessen, wie es gekocht wird, der wurde von der Ankündigung des Bayerischen Landesamts für Datenschutzaufsicht überrascht: Bayern kündigt schon erste Kontrollbesuche an. „Abwarten und nichts tun ist mehr

Advanced Analytics | Analytics | Data Management
Michael Herrmann 0
Data Management für Analytics – Enge Verzahnung von IT und Data Science ist entscheidend

Welche Rolle Datenqualität und Data Governance beim Data Management für Analytics spielen, habe ich mit meinem Kollegen Gerhard Svolba zuletzt an dieser Stelle diskutiert. Doch was genau macht modernes Datenmanagement aus, und welche Rolle spielen dabei neue Technologien à la Hadoop und Co.? Und wie sieht überhaupt die künftige Zusammenarbeit

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