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Advanced Analytics

Move beyond spreadsheets to data mining, forecasting, optimization – and more

Advanced Analytics | Analytics | Artificial Intelligence | Customer Intelligence | Data Management | Machine Learning
Suneel Grover 0
SAS Customer Intelligence 360: Identity management, profiling and unified data model for hybrid marketing

Customer data platforms (CDPs), data management platforms (DMPs), people-based marketing, identity graphs, and more overlapping topics represent an important ingredient of any martech brainstorming session in 2020. As your brand spreads out across touchpoints — from web to mobile applications, as well as call centers, email and direct mail —

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English
Advanced Analytics | Analytics | Data Visualization | Programming Tips
Mariana Fontanezi 0
Time Series Modeling: R & SAS

Como integrar modelos hierárquicos de séries temporais desenvolvidos em R ao SAS Visual Forecasting analisando as diferentes estratégias? O objetivo deste artigo é apresentar como podemos executar modelos de séries temporais, que foram desenvolvidos no R, no SAS Visual Forecasting, podendo, assim, paralelizar e acelerar o processamento do código R.

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Brazilian Portuguese
Advanced Analytics | Analytics | Artificial Intelligence | Customer Intelligence | Data Management | Machine Learning
Suneel Grover 0
SAS Customer Intelligence 360: Introduction to marketing data management

No matter what your brand's level of marketing maturity is, SAS can help you move from data to insight to action with rich functionality for adaptive planning, journey activation and an embedded real-time decision engine – all fueled by powerful analytics and artificial intelligence (AI) capabilities. Let's begin with a

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English
Advanced Analytics | Analytics | Data for Good
Melanie Carey 0
Take customer care to the next level with automated prediction in SAS Visual Analytics

What is automated prediction? Automated prediction, in less than a minute, runs several analytic models (such as decision trees, gradient boosting, and logistic and linear regression) on a specific variable of your choice. Most of the remaining variables in your dataset are automatically analyzed as factors that might influence your specified variable. They are called underlying factors. SAS then chooses the one model (champion model) that most accurately predicts your target variable. The model prediction and the underlying factors are then displayed. You can adjust the values of the underlying factors to determine how the model prediction changes with each adjustment.

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English
Advanced Analytics | Analytics
Andrés Mauricio Torres 0
El aprovechamiento de los datos y el espíritu salvaje, las claves para ganar el Tour (y superar desafíos) en este atípico 2020

“El deporte moderno se ha convertido en una gigante base de datos que hay que saber entender para obtener los mejores resultados”, dice Jhon Jairo Osorio, un reconocido periodista deportivo colombiano especializado en ciclismo. Jhon Jairo suele participar como comentarista en las transmisiones que canales de televisión colombianos hacen de

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Spanish
Sports & Entertainment
Advanced Analytics
Susan Kahler 0
Video: Image embedding using deep learning with Python (DLPy) and SAS Viya

An embedding model is a way to reduce the dimensionality of input data, such as images. Consider this to be a type of data preparation applied to image analysis. When an embedding model is used, input images are converted into low-dimensional vectors that can be more easily used by other computer vision tasks. The key to good embedding is to train the model so that similar images are converted to similar vectors.

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English
Advanced Analytics | Analytics | Internet of Things | Machine Learning
Bruno Maia 0
Cuatro puntos importantes en el uso de la analítica en la crisis del COVID-19

Las soluciones analíticas son muy importantes justo en el momento que vivimos. Tanto en la lucha directa contra la proliferación del virus como en la planificación operativa de los gobiernos y las instituciones de salud, es el instrumento que permite a las empresas enfrentar la crisis económica que surgirá como

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Spanish
Advanced Analytics | Artificial Intelligence | Internet of Things | Machine Learning
Business Analytics Portugal 0
Artificial IoT – Com o relançamento da atividade económica numa fase pós-Covid19, como poderemos alavancar o IoT para tornarmos as nossas empresas fabris mais eficientes.

Com o início do “desconfinamento”, a reabertura das empresas fabris e a entrada faseada em produção, esta é também uma altura importante para pensarmos em como tornar as nossas empresas mais eficientes e em alavancar investimentos efetuados anteriormente. Numa fase em que ainda não estamos a produzir a 100%, a

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Portuguese
Advanced Analytics | Analytics | Artificial Intelligence
Christos Michas 0
+1 ακόμα must have στην καλοκαιρινή λίστα των διακοπών σας!

Αν θέλετε να «σπάσετε» την καλοκαιρινή μονοτονία🙂 ανάμεσα στις θαλάσσιες βουτιές, το χταποδάκι στην ταβέρνα και την χαλάρωση από το διάβασμα ενός βιβλίου, σας έχω μια καλή πρόταση! Εάν δεν καταφέρατε να είστε ένας από τους χιλιάδες επαγγελματίες στον τομέα των analytics που συμμετείχαν από 56 χώρες και παρακολούθησαν το

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German
Advanced Analytics | Analytics | Customer Intelligence
Javier Alexander Rengifo 0
Conciencia situacional, ¿cómo las tecnologías exponenciales ayudan a tomar mejores decisiones frente al COVID-19?

Los gobiernos y los diferentes sectores están creando protocolos para reactivar muchas de las actividades que solíamos hacer antes de la pandemia reduciendo los riesgos. Ante esta nueva etapa de apertura y reactivación, ¿se ha puesto a pensar en el tipo de decisiones que tiene que empezar a tomar ahora?

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Spanish
Communications | Government
Advanced Analytics | Analytics | Data for Good | Data Visualization
Melanie Carey 0
Are your hospital resources at risk of hitting capacity?

How have healthcare providers and governmental agencies predicted the fast-changing, potentially exponential increase in the need for medical services and equipment through the various stages of the COVID-19 pandemic? Mathematical techniques that attempt to model and understand the likely spread of the disease have been instrumental. The SEIR model is

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English
Government | Health Care
Advanced Analytics | Analytics | Artificial Intelligence | Data for Good | Data Visualization | Machine Learning
Carlos Pinheiro 0
Mobility tracing: Helping local authorities in the fight against COVID-19

The current state of policy enforcement during an infectious disease pandemic is mostly reactive. Public health officials track changes in active cases, identify hot-spots and enforce containment policies primarily based on geographic proximity. By combining telecommunications data -- which we turn into mobility information -- with public health data of

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English
Communications | Government | Health Care | Life Sciences
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