motif blanc

Descriptive Analytics

motif blanc
Content

What Is Descriptive Analytics?

Types of Data Analysis

Descriptive analytics help people answer the question of “What happened?” by drawing conclusions from large, raw datasets. The findings are then visualized into accessible line graphs, tables, pie and bar charts, and generated narratives. Descriptive analytics is one piece of the larger analytics process that includes predictive and prescriptive analytics. By offering a holistic view of performance and trends, such as year-over-year sales growth or number of clients, descriptive analytics enables businesses to identify areas of strength and weakness to guide decisions and strategy.

Why Is Descriptive Analytics Important?

An annual report, workflow, and inventory all have one thing in common — descriptive analytics. Through sophisticated methods such as clustering, regression, suppression, and summary statistics, descriptive analytics enables people to break down large volumes of data to reveal trends, patterns, and insights. With this information, a business can see how key metrics have changed over time, which helps find new opportunities for growth.

How Descriptive Analytics Works

Descriptive analytics is a vital part of any business regardless of industry and usually includes the following:

  • Creating metrics to evaluate against KPIs
  • Identifying and extracting the right data to measure against those KPIs
  • Preparing data to ensure accuracy
  • Using methods such as clustering, regression, suppression, and summary statistics to find patterns and measure performance
  • Generating charts, tables, and graphs so findings are easy to understand

With descriptive analytics, a business can examine social media engagement including likes, comments, views, and followers; report on general trends; compare and analyze survey results; and outline past events such as marketing campaigns and sales.

Getting Started with Descriptive Analytics

Alteryx uses time intelligence, data mining and profiling, spatial and demographic analysis, and other methods to provide a strong foundation for analysis.

Alteryx allows users to:

  • Handle large volumes of data with database-optimized queries, push-down processing, and in-database support
  • Uncover insights, patterns, and trends with complete data profiling, easy data mining, and the ability to leverage data mining assets
  • Enrich data with geocoding, demographic analysis, and third-party enrichment
  • Import and clean, prep, and blend data from many different sources, plus export findings from analysis
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
E-book
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.

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

CFOs-Step-Up-As-AI-Leaders

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

Finance
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.

image