Where to start with omnichannel?
Kim Kaluba says start the journey toward ominchannel with a data strategy based on governance.
Retail
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
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
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
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
Banking | Energy & Utilities | Government | Health Care | Hospitality | Insurance | Life Sciences | Manufacturing | Retail | Travel
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,
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
Analítica, machine learning, inteligencia artificial, computación cognitiva ¿Cuál es cuál?
Las vemos a diario en Twitter, nuestro feed de noticias en Facebook, en foros de LinkedIn o en los principales medios de negocios, tecnología y tendencias que consumimos. Todas son tecnologías capaces de transformar los negocios, la manera en que tomamos decisiones y varias de las más importantes actividades de
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
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
스트리밍 데이터(Streaming Data): 무한한 가능성의 시작
모든 것을 실시간으로 실행하고, 실시간으로 평가하는 바야흐로 ‘스트리밍 시대’입니다. 길을 걷다가 들리는 음악을 그 자리에서 검색하고 스트리밍으로 재생해 듣습니다. 스마트폰 메신저나 소셜 미디어(SNS)를 통해 바로 공유할 수도 있죠. 월드컵과 올림픽 등 스포츠 경기는 물론 대선 토론과 개표 현황 등 정치 이벤트까지 케이블 TV나 페이스북 라이브를 통해 실시간으로 시청합니다. 기업에서는 어떨까요? 매월,
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,
Colpatria, Club Premier y VTR, tres experiencias con Analítica
En los últimos años la analítica se ha convertido en el driver para cambiar al mundo y una muestra de ello son Colpatria en Colombia, Club Premier en México y VTR en Chile que muestran resultados importantes en transformación digital gracias al mejor aprovechamiento de sus datos. En frentes como el
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)
Icelandic in-laws and inventory management: digital supply chain innovations
“I do not like this modern technology,” said my father-in-law. “It is making people too lazy. Things are too easy now.” He was referring to my grocery order. I was sitting in his kitchen in Reykjavik, Iceland, the day before my return to the United States. I had just explained
How to be a data-driven SMB: Part 2 of Twiddy’s Tale
TwIn part one of this series, Clark Twiddy, Chief Administrative Officer of Twiddy & Company, shared some best practices from the first of three phases of Twiddy’s journey to becoming a data-driven SMB. This post focuses on phases two and three of their journey. (Read the whole series here.) Phase
Forecasting at the edge for real-time demand execution
Let me start by posing a question: "Are you forecasting at the edge to anticipate what consumers want or need before they know it?" Not just forecasting based on past demand behavior, but using real-time information as it is streaming in from connected devices on the Internet of Things (IoT).
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
Retail – more alive than ever
There's been a lot of talk in the media lately about the death of retail. Every week, it seems like another retailer announces the closing of stores, acquisitions or even going out of business. Many relate it to the growing competitive landscape with the convenience of online shopping and lure
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
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
고객 인텔리전스(CI), 디지털 채널과 데이터를 통해 진화하는 마케팅 동력
여러분은 어떻게 쇼핑하나요? 온라인 쇼핑몰, 모바일 앱, 소셜 미디어 등 디지털 기술의 발전과 함께 현대인의 쇼핑 방법은 점점 더 다양해지고 편리해지고 있습니다. 동시에 기업이 고객과 만나는 접점은 그 어느 때보다 많아졌는데요. 그만큼 기업의 디지털 마케팅 전략 또한 여러 기술 요소와 방법론이 혼용되는 하나의 큰 생태계로 발전을 거듭하고 있습니다. 그 생태계의 기반에 디지털
Taming the omnichannel data monster
Kim Kaluba describes how a customer data strategy can help you achieve an omnichannel vision.
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
E-commerce y Retail, enemigos que se complementan
La industria de Retail se encuentra en un proceso de transformación fundamental impulsado por las tecnologías digitales. Y a medida que los minoristas se adaptan a la era digital, la línea entre el comercio físico y el digital se está volviendo cada vez más borrosa. Desde la perspectiva de los
When everything is analytics, nothing is analytics...?
The widespread adoption of the term "analytics" reminds me of the evolution of the term "supply chain management." Initially the term focused on supply chain planning. It involved demand and supply balancing and the heuristics and optimization tools that came out of advanced planning and scheduling. Over time practically everything was included
Analytics für IoT - So wird Vision zur Realität
Kennen Sie Kevin Ashton? Der britische Technologie-Pionier hat am Massachusetts Institute of Technology (MIT) einen internationalen Standard für RFID mitbegründet. Was aber vielleicht noch wichtiger ist: Vor fast 20 Jahren hatte er eine Vision von Computern, die Informationen über Gegenstände des Alltags und der Fabrikation sammeln und mit diesen Daten
In stock we trust
Success in the retail space boils down to one simple function: the conversion of sales. However, retailers can only do this if they have stock readily available. Missing a sales opportunity due to poor stock management just won’t cut it in today’s marketplace. How can we resolve this basic problem
El Reto de la Experiencia del Cliente en un Mundo Minorista Omnicanal
Durante el Omnichannel Analytics Forum, Dan Mitchell, Director de la Práctica de Negocio Retail en SAS, compartió con la audiencia cómo la industria minorista se ha consolidado y enfrentado a un ambiente volátil, dando como resultado la búsqueda de nuevas formas de acercamiento con el cliente. “La ejecución omnicanal es
Walmart가 분석을 활용하는 4가지 방법
온라인 활동부터 오프라인 구매 및 소셜 노출에 이르기까지 Walmart는 전 세계 어느 리테일러보다 광범위한 고객 네트워크를 자랑합니다. 글로벌 고객 인사이트 분석 부문 수석 이사인 다니엘 소프(Daniel Thorpe)에 따르면 회사의 주간 소셜 노출만 30만 건에 달한다고 합니다. 소프는 분석 팀을 이끌면서 고객 스스로 생산하는 행동 데이터를 기반으로 고객에 대한 전반적인 이해를