Auto-update Everything in an Instant

Displayr makes it easy, and fast to update your analysis, visualizations, reports and dashboards. In fact, this concept is central to the way Displayr is built. Push a button and the updating happens automatically. No code, no syntax needed.

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Illustration of Displayr Auto updating
TRUSTED BY THOUSANDS OF CUSTOMERS

Automatic updating for rapid insights

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A new way to automatically update

Updating analyses, visualizations, and reports are central to the magic of Displayr. Working in a way that’s entirely different from any other survey analysis tool. In other survey analysis tools, automatic updating means writing code or syntax. In other words, you have to write a computer program to do the updating. Here at Displayr we’ve already written the computer program, so you instead push a button, and the updating happens automatically. It’s that easy.

Filtering

The simplest form of updating is filtering. Whether it’s a visualization or complicated machine learning model, you can automatically re-run it with a subset of the data by filtering. There’s no need to re-run it or anything. It’s entirely automated.

Illustration of Displayr Auto updating Filtering
Illustration of Displayr Auto updating Data Cleaning

Data cleaning

A common challenge in survey reporting is that you write 99% of the report, and then realize you need to delete a respondent or weight the data. If you are using traditional tools, you will then need to redo your work. In Displayr, when you remove the respondent or weight the data, everything updates 100% automatically. There’s no need to repeat anything other than updating your commentary.

New waves of data

Maybe you have got an extra month of data. Or, perhaps you have redone your survey in a different geographic zone. To update it, all you need to do is swap the data file, and everything will update – it automagic!!

Illustration of Displayr Auto updating New waves of data
Illustration of Displayr Auto updating

Reusing your work with similar projects

You may be repeating a previous study, perhaps just changing a few brand names and attributes. Duplicate the original report and swap the data files, hey presto, you’re done. Highly technical users especially benefit from reusing work because it means they can easily redo complicated workflows.

If we have 10 different presentations for 10 different countries and we receive a new data file, with Displayr, we can update all 10 presentations automatically.
Marcus Hickman
Marcus Hickman

Managing Director, Davies Hickman

Be 10x faster with auto-updating

Illustration for displayr all types of data

All types of data

SQL, databases, Excel, CSV, text, SPSS, survey platforms, APIs, integrations, & more.

Displayr support all types of analysis

All types of analysis

Summary tables, crosstabs, pivot tables, regression, text analysis, segmentation, machine learning, & more.

Illustration for displayr all types of reporting

All types of reporting

Data visualization, interactive data apps, dashboards, presentations, PowerPoint, Excel, PDF, web pages, & more.

One complete platform to do it all

Automatic theme detection

AI automatically identifies and categorizes themes within your text data, providing deeper insights.

Emotion detection

Understand and analyze complex emotions like frustration and sadness, helping you understand customer motives.

Entity extraction

Extract key entities like names, places, and organizations to enrich your analysis.

Customizable categories

Fine-tune and adjust categories to match your specific needs and preferences.

Text visualization

Create stunning word clouds, charts, and dashboards that help tell the story behind your text.

Global language support

Analyze text data in any language, with true native language support to a global audience.

Sentiment analysis

Analyze large volumes of text to gauge positive, negative, or neutral sentiments.

Natural Language Processing

Extract insights with unrivalled accuracy, utilizing NLP to reduce manual effort and free up time.

Case Study - dunnhumby

Global Market Research Agency

Displayr helps dunnhumby update their quarterly tracking reports 95% faster

Challenges

  • An ongoing tracking project that needed to be updated manually
  • Updating 50-100 PowerPoint slides with new data each quarter

Solutions

  • Dynamic, visually-appealing dashboards
  • Dashboards that update with just a few clicks

Results

  • 95% time saved on updates
  • More flexible presentation options for their clients

“I was really blown away because I was prepared to have to adjust a lot of things in the dashboard when I updated it. I couldn’t believe it. It was really just one click to update the entire report.”
Dora
Dóra Török
Research Analyst, dunnhumby

See why people love Displayr

Auto-updating FAQs

Why is automatic updating important?

Automatic updating ensures your data, reports, dashboards, and visualizations stay up-to-date with fresh data. This ensures accuracy, reduces the risk of error, and saves time when creating data-rich reports.

Displayr connects dashboards and PowerPoint reports to raw data sources. When this data changes—whether it’s a weekly refresh in a brand tracking study or an update in the quarterly sales report—Displayr automatically updates reports and dashboards without manual input, ensuring accurate, real-time insights.

Displayr can connect to a range of different file formats for automatic updating of reports. This includes: .xlsx, . xls, .csv, . tsv, .sav, .xml, .sss, .md.

The max file size is 1000MB.

There are many different ways market researchers can take advantage of automatic updating. Common use cases include:

  • Consumer tracking
  • Concept testing
  • Custom client reports
  • Ad-hoc reports
  • Benchmarking reports
  • Real-time alerts on data changes

The beauty of automatic updating in Displayr is that you can set the frequency of updates to suit your report. For example, if you’re reporting on dynamic financial data, you might want to update it daily. If you’re reporting on brand awareness, weekly updates should suffice. It all depends on what you need for your reports and the nature of your data.

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