motif blanc

Prescriptive Analytics

motif blanc

What Is Prescriptive Analytics?

Prescriptive analytics answers the question “What should/can be done?” by using machine learning, modeling, simulation, heuristics, and other methods to predict outcomes and provide decision options. Building upon descriptive and predictive analytics, prescriptive analytics not only provides forecasting and predictions about future events, but what could make them happen. Using this information, analysts can test the impact of strategic decisions to optimize their decision-making processes.

Why Is Prescriptive Analytics Important?

Building on the work of descriptive and predictive analytics, prescriptive analytics can benefit a business by helping them: Make informed, fact-based decisions by using real-time and forecasted data Understand the likelihood of certain outcomes the impact of decisions on those outcomes, and use it to plan what to do and how Save resources and boost efficiency by allowing AI to curate and process data into actionable scenarios Create reproducible and scalable processes to make decisions using near-time data Answer the most complex business questions such as demand forecasting, risk assessment, and what-if scenarios

How Prescriptive Analytics Works

Prescriptive analytics is the final step in business analytics and leverages the outcomes of several statistical methods and the power of AI. While descriptive analytics answers, “What has happened?” and predictive analytics answers, “What could happen?” predictive analytics answers, “What should we do?” and “How will our decisions affect future performance?” It gives analysts and decision makers the power to positively and confidently impact future outcomes through optimization models and iterative machine learning.

Prescriptive analytics can benefit any data-driven business and is highly utilized in fields where data is constantly changing and decisions can have wide-ranging impact.

  • In healthcare, prescriptive analytics can help in both administration and patient care. A pharmaceutical company can use prescriptive analytics to reduce the costs of testing by finding the best subjects for a clinical trial, while a hospital might use it to provide attention to patients who need it most by seeing who has the highest risk of re-admission.
  • In transportation, an airline can automatically adjust pricing and availability based on various factors including weather, demand, and oil prices.
  • In publishing, an outlet can decide what to publish and if a piece will be popular based on search and social data for similar topics.
  • In human resources, online training can be adjusted in real time based on an employee’s performance on each lesson.

Getting Started With Prescriptive Analytics

Alteryx ML platform provides automated machine learning (AutoML) and feature engineering, giving users the ability to test ML models in a fully guided user experience, without the need for coding complex models.
Alteryx ML allows users to:
  • Uncover hidden relationships within your data with Automated Insight Generation Use algorithms like xgBoost, LightGBM, and ElasticNet to uncover features in your data that have the highest impact on model performance
  • Create understandable and explainable models and dashboards that can communicate feature importance, impact analysis, and simulation exploration
  • Quickly create trusted models using pre-defined feature libraries
  • Integrate models into business processes through Alteryx’s end-to-end business platform

Voiture de course McLaren
Témoignage client
Temps de lecture : 5 minutes

McLaren Racing mise sur l'analytique des données pour booster ses résultats

Avec plus de 20 week-ends de course de Formule 1 prévus, chacun générant 1,5 To de données, il est vraiment essentiel de pouvoir collecter, traiter et exploiter ces données. L'équipe McLaren Racing s'appuie sur la plateforme Alteryx d'Automatisation des processus analytiques pour accélérer la prise de décision stratégique, tant sur le circuit qu'en dehors.

Chaîne d'approvisionnement
Responsable Analytique
BI/Analytique/Data science
Lire maintenant
	5 cas d'usage pour aider les professionnels de la FP&A à gagner du temps Time_dynamic_432x767
Temps de lecture : 7 minutes

5 cas d'usage pour aider les professionnels de la FP&A à gagner du temps

Les processus FP&A manuels vous énervent et vous prennent tout votre temps ? Découvrez dans cet e-book cinq processus FP&A à rationaliser pour gagner du temps, améliorer les prévisions et prendre de meilleures décisions.

Planification et analyse financières
Lire maintenant
Personne montant des escaliers
Temps de lecture : 5 minutes


Les directeurs financiers qui s'approprient vraiment l'IA rendent service à leur entreprise, et à leur carrière.

Responsable Business
Alteryx Platform
Lisez vite !

Intelligence Suite Starter Kit

This Starter Kit provides analytics templates to jumpstart your journey to no-code advanced analytics using assisted modeling – the guided creation of machine learning models.