Retail

Customer Intelligence
Adrian Carr 0
Using analytics to determine best paths in customer journeys

The outbound marketing landscape, especially in the retail industry, is a challenging one. Customers are receiving multiple communications from multiple businesses, and for marketers it’s sometimes hard to understand which activity is driving results. Many retailers have a complex multichannel strategy of internet, email, direct mail, telemarketing, and catalogues. These

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

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

Customer Intelligence
Norma Suarez 0
SAS is revolutionizing the real-time customer experience

Real-time customer experiences are an elusive yet coveted goal for all organizations. As competition intensifies in every single industry, organizations want to ensure they are providing customers with unforgettable results. Satisfactory is no longer enough. Not if you want your customers to come back. Forrester Principal Analyst Rusty Warner’s research

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

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 | Artificial Intelligence | Customer Intelligence
David Cosgrave 0
Real-time customer experience: Accessing the whole picture

Real-time customer experience is a vital driver of growth. Acting in real-time, armed with the most up-to-date information about your customer, can hugely improve customer experience. Many of SAS’s customers have generated significant competitive advantage from trying to align closer with the real-life experiences of their customers. But how many

Analytics | Customer Intelligence
Sandra Hernandez 0
Así es el profesional de Marketing de hoy

En el lenguaje de marketing, mucho hablamos de implementar estrategias digitales omnichannel y gestionar la experiencia de cliente de extremo a extremo. Si bien hay bastantes soluciones (mapas de viaje del cliente, diagramas de ciclo de vida) y tecnologías (motores de optimización, procesamiento de secuencias de eventos y automatización de marketing)

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