Displayr’s built to make driver analysis smooth and fast with state-of-the-art algorithms and purpose-built visualizations. Say goodbye to long computing hours.
Until now, driver analysis either took way too long to compute or it was just too hard to do. Now you can easily smash through those hurdles and perform a state-of-the-art driver analysis yourself in a matter of mins. Easily create quad maps to communicate the results.
Displayr uses expert systems to automatically solve many of the uglies of regression-type analysis (e.g., outliers, multicollinearity, heteroscedasticity, and categorical outcome variables). While its clever use of algorithms mean that waiting hours for results to compute is a thing of the past – work out what’s important in a matter of minutes. Data processing is automated including data stacking and outlier removal.
Pick your algorithms or let Displayr figure it out for you. Algorithms include: state-of-the-art Johnson’s relative weights, Shapley, HB, PLS, Ridge Regression, Linear Regression, GLMs, Random Forest, and more.
Displayr is not just a driver analysis platform; it excels in every aspect including visualization, trend analysis, crosstabs, advanced analytics, dashboards, PowerPoint reporting, data apps, and more. Once you have your driver analysis, you can seamlessly integrate it into your reports and even update everything automatically with new insights.
President – Americas, MDI
SQL, databases, Excel, CSV, text, SPSS, survey platforms, APIs, integrations, & more.
Summary tables, crosstabs, pivot tables, regression, text analysis, segmentation, machine learning, & more.
Data visualization, interactive data apps, dashboards, presentations, PowerPoint, Excel, PDF, web pages, & more.
AI automatically identifies and categorizes themes within your text data, providing deeper insights.
Understand and analyze complex emotions like frustration and sadness, helping you understand customer motives.
Extract key entities like names, places, and organizations to enrich your analysis.
Fine-tune and adjust categories to match your specific needs and preferences.
Create stunning word clouds, charts, and dashboards that help tell the story behind your text.
Analyze text data in any language, with true native language support to a global audience.
Analyze large volumes of text to gauge positive, negative, or neutral sentiments.
Extract insights with unrivalled accuracy, utilizing NLP to reduce manual effort and free up time.
Displayr helps MAC Research cut reporting and analysis time by 2/3rds
Driver analysis is a statistical technique used to quantify the importance of a series of predictor variables in determining a given outcome. It is used by researchers to determine:
Key driver analysis is just another way of saying driver analysis. Other variations on the name include importance analysis and relative importance analysis.
In terms of reporting, the key output from driver analysis is usually a table or chart that shows the relative importance of different predictors. Typically, they will add up to 100%.
Driver analysis is applied across various different industries each day, including:
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