Share this
How Harmoni made an "enormous difference" in data processing speed
by Infotools on 06 Aug 2020
“Harmoni makes my life much easier than using simple crosstabulations...I look for tools that will make me more productive and efficient, that fit my workflow and make it easier to see the patterns.” - Ray Poynter, #NewMR
Many organizations in the market research space are working hard to keep their audiences informed through what has become an extremely fast-paced insights cycle. Ray Poynter from #NewMR is taking the pulse of market researchers and how they are coping with the pandemic. The #NewMR study has had two waves of data so far, and Ray wrote about the difference in processing speed and efficiency between them. For the second wave, he used our market research platform, Harmoni, to process and analyze the data.
Ray wrote, “I had processed the first leg in SPSS, but that was relatively time consuming, and with the second leg I had the need to consider both messages within the new data and the differences between the second leg and the first leg.”
He had seen Harmoni in action, processing COVID-related data, during a recent #NewMR webinar, so he knew how powerful it was for market research. He indicated that using Harmoni made an “enormous difference” in speed to insights and wrote about a couple of specific examples.
- Bases AND percentages: When using SPSS, Ray could not quickly see findings that were “significant and substantial” when it came to percentages and counts for various data points. Using Harmoni made his process faster because he was able to examine correlations between variables and also compare the two waves of data.
- Statistical significance: One of the biggest advantages Ray found when using Harmoni was our Discover tool, which automatically brings the most interesting findings to the surface. It allows users to find stories in data faster by profiling the groups that matter and comparing them with others. In Ray’s case, he was able to quickly explore what was happening when it came to a number of key data points. He said that this tool “provides a fast start for knowing where to dig deeper into the analysis.”
Spurred by the pandemic and other global drivers, data is coming in from all angles, and keeping up with new behaviors, sentiment, and actions is challenging. Using the right solution can help market researchers keep up and compare data points over time to track change. Ray concluded by writing, “Harmoni makes my life much easier than using simple crosstabulations...I look for tools that will make me more productive and efficient, that fit my workflow and make it easier to see the patterns.”
See Ray’s full blog post here: https://newmr.org/blog/harmoni-and-the-need-for-speed/.
Share this
- October 2024 (4)
- September 2024 (4)
- August 2024 (6)
- July 2024 (7)
- June 2024 (4)
- May 2024 (7)
- April 2024 (6)
- March 2024 (3)
- February 2024 (8)
- January 2024 (3)
- December 2023 (6)
- November 2023 (5)
- October 2023 (3)
- September 2023 (8)
- August 2023 (4)
- July 2023 (6)
- June 2023 (6)
- May 2023 (3)
- April 2023 (6)
- March 2023 (6)
- February 2023 (4)
- January 2023 (2)
- December 2022 (2)
- November 2022 (8)
- October 2022 (6)
- September 2022 (6)
- August 2022 (7)
- July 2022 (5)
- June 2022 (6)
- May 2022 (5)
- April 2022 (4)
- March 2022 (8)
- February 2022 (7)
- January 2022 (1)
- December 2021 (2)
- November 2021 (2)
- July 2021 (4)
- June 2021 (2)
- May 2021 (4)
- April 2021 (2)
- March 2021 (5)
- February 2021 (3)
- January 2021 (3)
- December 2020 (1)
- November 2020 (5)
- October 2020 (2)
- September 2020 (5)
- August 2020 (4)
- July 2020 (4)
- June 2020 (1)
- May 2020 (3)
- April 2020 (6)
- March 2020 (3)
- February 2020 (4)
- January 2020 (2)
- December 2019 (4)
- November 2019 (4)
- October 2019 (3)
- September 2019 (2)
- August 2019 (4)
- July 2019 (5)
- June 2019 (2)
- May 2019 (4)
- April 2019 (4)
- March 2019 (2)
- February 2019 (4)
- January 2019 (3)
- December 2018 (5)
- November 2018 (2)
- October 2018 (1)
- September 2018 (3)
- August 2018 (5)
- June 2018 (4)
- May 2018 (4)
- April 2018 (3)
- December 2017 (1)
- November 2017 (2)
- October 2017 (1)
- September 2017 (3)
- August 2017 (2)
- June 2017 (2)
- February 2017 (2)
- January 2017 (2)
- December 2016 (2)
- September 2016 (1)
No Comments Yet
Let us know what you think