With the new qualitative content wringer functions of Provalis Research’s QDA Miner, market research firms and marketing analysts can shorten the wringer process and proceeds deeper vendee wits (CX) insights.
Provalis Research, the leading provider of text analytics solutions, announces the release of version 6 of QDA Miner. The latest release of this qualitative content wringer tool focuses on features that enable market research analysts to quickly and hands transform unstructured content into meaningful merchantry analytics. Designed for everyone, the tool democratizes data wringer for all levels of expertise, from novice researchers to professional data analysts, with the primary goal of improving productivity in wringer and for evidence-based visualization making.
“With the ongoing uncertainty associated with the COVID-19 crisis, clients and prospects are unescapable us to squire them in addressing their text wringer challenges,” says Normand Peladeau, President of Provalis Research. He adds, “Being worldly-wise to uncover this valuable information, which is normally overlooked due to the heavy workload of daily procedures, delivers a unconfined uplift for the informed decision-making process and to a business’s bottom-line.”
The newly introduced capabilities of QDA Miner 6 are geared towards improving the content wringer process for coding, annotating, retrieving, and analyzing small and large collections of text data including Voice-of-Client (VOC) surveys, focus group and interview transcripts, legal documents, journals or articles, speeches, and other visual documents such as photographs and paintings. To expedite the coding of open-ended content such as support cases and survey responses, version 6 includes the grid exhibit mode, where data is organized in a table format that allows research analysts to view data unmistakably and to categorize it with a stilt & waif interface that provides a largest understanding of the major support issues that need to be addressed.
When it comes to visualization of the data analysis, version 6 improves the exhibit of the content wringer results using new features such as an interactive word deject diagram and a sophisticated quotation matrix. The interactive word deject “translates” text analytics weighting to various coded data, thus offering the worthiness to create zippy word clouds resulting from variegated wringer features. By removing selected “noise” words or waffly the nature to obtain an well-judged understanding of the analyzed unstructured content, research analysts can dynamically transpiration the word deject in as little as 1-2 clicks. Moreover, the new quotation matrix format enables data analysts to, for example, unriddle open-ended product reviews and categorize them by topics and vendee segments. This enables businesses to identify commonalities within a large set of imported unstructured content, whether comparing product reviews, or plane the merchantry position in relation to current competitors. These visual representations are quick to generate and easy to edit when delivering presentations to merchantry colleagues. If remoter visualization capabilities are required, you can now moreover export results to Tableau Software.
While spanking-new data wringer and visualization is paramount, it is moreover vital to have the flexibility to import data from various data sources. In wing to popular web survey platforms, reference management tools, email sources, and social media, marketing data analysts can now import publication excerpts from worldwide content aggregators such as Factiva and LexisNexis and quickly unriddle publication mentions to pericope the hair-trigger components that directly relate to their cadre merchantry or subject matter.
Extensive changes have moreover been made to largest handle projects with multiple languages including Asian languages (Chinese, Japanese, Thai, etc.). As a consequence, all retrieval and wringer features have been modified to support the exhibit and wringer of text in many increasingly languages.
A well-constructed list of the new features can be found on the QDA Miner 6 What’s New page, or you can download a 14-day self-ruling trial version to assess the new qualitative data features. If you would like to learn how the new version of QDA Miner can help your organization, please join us on October 14, 2020 for a complimentary webinar on the QDA Miner 6 product.