Museums Moving Forward’s Post

Thank you to everyone who participated in our recent survey! Here are the results: 🔎 The answer with the highest number of votes, even if just by a narrow margin, was “Stacked Column” with 48% of the votes. However, the correct answer was “Proportional Stacked Bar”, which received 44% of the votes. This Thursday, we will publish a detailed post to explain which charts are best suited to compare and rank categories effectively. ✨ Continue to follow us so you don't miss our detailed post and our next survey. #BusinessIntelligence #DataVisualization

Where do IT buyers get their data storage information? Based on a survey of IT decision makers in Germany and the UK, read our white paper to uncover the sources they rely on to stay informed. https://a3.ax/UibSf

Read perspectives from members of the Make Data Count community on the blog today. In this post, we share their perspectives on why understanding the use and reach of open data is important, and on their interest in Make Data Count.  https://lnkd.in/eBzXbTsy

When flawed data drives decisions in consulting and private equity, the fallout can be severe — investments that don’t deliver, client strategies that don’t land, and thought leadership insights that compromise reputation. Yet, in today’s survey ecosystem, ensuring data quality is becoming increasingly challenging. Fraud has long plagued the survey industry, with issues like click farms and VPN usage contributing to the challenge. Things have only escalated with the rise of GenAI.

Consultants and investors, here’s an open secret in the survey ecosystem: No amount of “data cleaning” can compensate for a sample that lacked high-quality respondents in the first place. Our Head of Data Quality, Marc Di Gaspero, did some research, revealing what many suppliers won't admit: Data cleaning alone isn’t enough. You can filter out bad data all you want, but if you didn’t attract strong respondents from the outset, you’re just playing defense with your data. Read our breakdown and some actionable takeaways here —> https://bit.ly/4fzZUcU

National reporting for 2024 has resumed, and April reports are OUT NOW! 📈📬 Remember, only those who submit data receive these exclusive regional insights. Why is this valuable? Discover how you compare to competitors and make EDUCATED decisions for success in 2024. Didn't submit your data for April? No worries! Our May survey is coming next week, so keep an eye on your inbox! 📅✉️

Earlier this week, we at Barrett and Greene Inc. wrote a B&G Report titled "Mousetraps for Bad Data." It consisted of six tips, based on our experience for identifying flawed #data in the public sector before you use it to make management or policy decisions. We'd like to expand on the column with advice from others (who can be identified by name or not. It' up to you). Take a look at the piece and let us know if you have any thoughts, please. It can be found at: https://lnkd.in/e-kt6F_t

Make the most of your survey data. Our blog covers everything from focusing on crucial stats to presenting open-ended responses. Read now! https://lnkd.in/ebSi-HJ

Well-deserved in my opinion! CrateDB enables the execution of complex aggregation queries and searches across all data types, swiftly adapting to rapidly evolving business analytics needs and powering AI models, all while maintaining the simplicity of SQL. By consolidating disparate data into CrateDB and integrating it with LLM and ML algorithms, users can harness real-time intelligence. The icing on the cake is that this is achieved without the need to concern oneself with ongoing optimization requirements such as indexing, scalability, and resiliency. CrateDB's distributed architecture is specifically designed to handle immense volumes of data in real-time, indexing them instantaneously, and is built to ensure high availability and resilience.

You might know #conjointanalysis as technique for market research, but it's also applicable to a wide variety of data collection use cases! Learn how you can incorporate it into your work on the blog 👉🏻 https://ow.ly/Lw9750Sa7sL