From executives to the front line, consumer-savvy organizations cultivate a wealth of knowledge that provides ample confidence as they bank on million dollar decisions. Yet today’s era of small and big data is opening up a world of possibilities, but only when stakeholders are up to challenging their long-held beliefs.
Learn how global insights professionals discovered the rising power of open source tools at ESOMAR Big Data World 2016; and how your organization can leverage these tools, and the ideal team, to optimize complex analyses historically not tackled by market research.
With easy access to consumer demographics and habits, no doubt marketing companies are able to easily access valuable data. However, along with it also comes the anxiety and stress of obtaining the important information and putting it to the correct use to improve the consumer relationship in a data driven world. This acts as a crucial and daily challenge for most organizations.
There is a lot of raw data available, surely it can be mined for value marketers can exploit - the trend is real and applicable, so what does it mean for your business? Here are 4 reasons why a big data analytics approach could be valuable to you.
Standard Deviation and Standard Error are perhaps the two least understood statistics commonly shown in data tables. The following article is intended to explain their meaning and provide additional insight on how they are used in data analysis.
This article provides a summary of the basic descriptive statistics typically shown in crosstabs and other survey data analyses. Included are the basic measures with which all researchers should be comfortable.
Simply put, bad information begets bad decisions. Using inaccurate data as an information source puts you at risk for making the wrong decision. The importance of data verification is fundamental to all business and scientific practices, and has been the subject of many conferences and discussion groups. Yes Virginia, paper surveys are still alive and verification practices are an integral part of assuring high quality data capture.
We are often asked about the pros and cons of scanning data as opposed to traditional data entry. If the quantity of survey forms and the schedule demand it, using an advanced data capture system can make sense, but in the majority of situations we prefer to employ manual data capture methods.
Advertising tracking research often returns results that don't help marketers: it can take months for tracking numbers to change significantly and even when they do, they provide little insight into why they went up or down. Here are three things you can do today to get more from advertising tracking research tomorrow.
Common concerns among global tracking studies include unexpected changes in your tracking data resulting in inconsistent samples. Recent work being done by researchers provides a new way of conceptualizing online sample consistency globally: analyzing purchase intent. Learn more in this article from The Operandi Group.
This article urges you to find multiple uses for your internally generated data through critical thinking and advanced analytics. Chadwick Martin Bailey, Inc. offers examples for applying data in new capacities.
Market research companies can implement several strategies for tracking return on investment for their research. The client can specify project milestones, objectives, KPIs, and other metrics detailed in this article.