Data processing is a cornerstone of data quality in the marketing research industry, extending beyond simply providing tables for reports. Our data processing team plays a crucial role by ensuring your survey accurately captures your vision and goals, from initial design through data collection and final analysis.

MarketVision entered the community space in 2007 when we introduced our first community, which is still active today. For perspective, that year Prince headlined the Super Bowl in Miami, the final Harry Potter book was released, and Steve Jobs introduced the first iPhone. Clearly a lot has changed over the years, including our community platform and capabilities.

Artificial intelligence (AI) – It's the industry's buzzing conversation, and at MarketVision, we're diving deep into its practical applications. While identifying the “when, how, and what” of AI remain points of active discussion, we recognize the opportunities, as well as inevitable learning curve, that accompany any transformative technology.

Artificial intelligence. It's unavoidable; in every newsletter, at every conference, and increasingly in our daily lives, both personal and professional. From the simplest (AI-enhanced search results) to the most complex uses (predicting protein folding), we are witnessing AI's triumphant march across various sectors, particularly in industries ripe with complex data and intricate processes like the life sciences. But a significant disparity exists between its successes in technical domains and its application in creative professional services. This gap, which we term the "technical-creative continuum," is especially evident in marketing research and warrants careful examination.

Some of our clients have asked, "Can you explain what a demand landscape is and why we should consider it at our company?" This article provides our perspective on how the industry defines demand, how it can be used, and some things to consider if your organization is interested in pursuing demand work.

Market research involves a lot of data and details. It’s the job of your reporting to synthesize all of that into actionable stories. To reliably connect the dots, it’s important for reporting deliverables to meet your end user where they are.