structured-vs-unstructured-data Blog Related Topics 
2020 Research
OCTOBER 18, 2023
We appreciate your engagement and enthusiasm, and rest assured, we have compiled all the unanswered questions into this blog post. It really comes down to using multiple tools and benchmarking, understanding the data that helped build the tool, and knowing where that data came from. In some cases, it will analyze the data.
SurveySparrow
NOVEMBER 30, 2023
Let me pose a question to you: Why do some surveys excel at extracting meaningful and valuable data effortlessly? This blog will go into the nuances of close-ended questions. After all, it is primarily about the depth and the quality of the data collected. This gives it a structure. It is flexible yet structured.
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NetBase
SEPTEMBER 6, 2019
Today, businesses can upload structured and unstructured data sources for aggregated analysis in one easy-to-use platform. Business can pretty immediately do lots with their integrated data, including: Capture all customer conversations across multiple channels to catch trends, spikes and unmet needs. People love Prime.
CX Journey
JANUARY 11, 2017
It appeared on their blog in August, 2016. Data is available in abundance these days. There are a ton of statistics out there about the volume of data we see today vs. just a few years ago, but I think we can all agree that there's a lot of it! Companies are sitting on a goldmine of data. Which tools?
Thematic
DECEMBER 5, 2018
A data-driven customer retention strategy can reap rewards in a big way, if you do it right. A McKinsey report states that “executive teams that make extensive use of customer data analytics across all business decisions see a 126% profit improvement over companies that don’t” (McKinsey, 2014). 5 strategies to reduce churn with data.
Bob Hayes
JANUARY 11, 2016
Last week, I identified the top skills across different data science professionals. The results of our survey of 620+ data professionals showed that, while data scientists possess many different skills (we looked at 25 skills), some skills are more popular/common to data scientists compared to other skills. Novice (40).
Lumoa
FEBRUARY 9, 2023
Share data and results of the customer experience analytics in an easy-to-use tool. It involves analyzing customer data such as customer feedback surveys, customer reviews, customer support inquiries, and more. Create a shared understanding: create a shared vision and targets for the whole company to follow. Don’t mix them up!
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