How Can Data Analytics and UX Lead to Greater Insight?

September 9, 2021
Marisa Mulh

Have you ever misplaced something and you could have sworn you knew exactly where you last saw it? The weight of not being able to find what you need is unpleasant, and when that loss occurs around something work-related, take that everyday, stressful situation and double it.

Because the weight of not being able to find what you need is unpleasant, there are many useful tactics to ensure you don’t misplace the items you need. Acting on practices like organizing and storing important mail, occasionally decluttering, finding designated areas for vital documents, etc., make it that much easier to find what you need exactly when you need it.

The same goes for digital spaces. On a server, you might create different folders that hold key information, placing sensitive data in a secure place. But for those that work everyday with large, diversified sets of raw survey data, insights teams and researchers might occasionally feel like they’re conducting a never-ending search for a needle in a haystack. Luckily, that’s where UX comes in—when data is organized and easy to access, it’s that much easier to interpret. By making raw data accessible and easy to find for the modern researcher, KnowledgeHound is transforming survey data analysis UI.

How Can UX Improve Data Analytics

When data is stored in a way that makes sense to a researcher or a research team, it becomes that much easier to perform discovery. It’s the exact same principle as placing a warranty or an owner’s manual in an easy-to-find place in your home. Data that is accessible saves teams time, money, and extends the life of that data, making it possible to glean insight from archived projects and past marketing initiatives.

One of the best ways to ensure data is stored proficiently is to use a survey data analysis experience that is optimized for teams with diverse levels of research experience. At KnowledgeHound, we fully believe in the importance of UX in data analysis. That’s why we’ve made it our mission to streamline the survey data discovery process with an easy-to-use interface that’s truly one-of-a-kind in the market research industry.

1. Keep Research Data  All In One Place

In order to get the most out of raw data, it is imperative for researchers and insights teams to have a comprehensive system for retrieving and sorting through large data sets. Otherwise, when raw data is scattered across a server, it makes it that much harder to share and dynamically analyze.

KnowledgeHound’s data analytics and UX capabilities make it possible to store all relevant questionnaires, reports, and media files in the same location as your organization’s survey data. This centralization makes it possible to compare diverse data sets and share data across teams for greater accessibility.

2. Empower Teams With Data Accessibility

One of the biggest roadblocks that stands between an organization and data discovery is accessibility. It’s often the case that the only teams with the ability to access and interpret data are research teams. But this can lead to gaps in holistic analysis.

With KnowledgeHound’s comprehensive data analysis UI, decision makers and researchers alike can easily access all media files alongside their raw survey data, streamlining the process of data discovery. Whether you’re a seasoned statistician or someone in a director role with little experience working in a data server, KnowledgeHound allows data to be shared in ways that matches the audience experience to enable data democratization.

3.  Portal Customization

KnowledgeHound allows teams to take control of their data in many ways, but perhaps one of the most unique aspects of KnowledgeHound’s survey data analysis solution is the ability to customize your portal to make it feel like an extension of your brand and your enterprise. Customization is a cornerstone of good design and with KnowledgeHound’s customizable data analysis UI teams and brands can make their data their own like never before.

With options to import data from a third party platform and filter with customizable dimensions, survey data analysis becomes a simple task for researchers and stakeholders. Your team will never have to learn a new platform because KnowledgeHound is customizable to your research needs.

4. Eliminate Silos With Custom Tagging

When KnowledgeHound retrieves your survey data, it becomes malleable in a way that allows research teams to shape and slice data for a more dimensional discovery experience. KnowledgeHound’s data analytics and UX features allow teams to create filters and a custom tagging structure that makes data easy to explore, eliminating silos and opening the door to more holistic data discovery.

We believe survey data analysis should be accessible and easy. That’s why we created an easy-to-use analysis experience as dynamic as a modern research team with UX features that make it possible to slice, dice, and mold data from third party platforms and share across teams without a second thought. Find out more about KnowledgeHound’s amazing survey data analysis solution and request a demo today.

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