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.

Marketing 108

Marketing Healthcare Analysis Case Study 108

datastax

JUNE 11, 2019

Data modeling provides a means of planning and blueprinting the complex relationship between an application and its data. It has become increasingly important as the “three Vs” of data—volume, variety, and velocity—continue to explode. The Complexities of Relational Data Modeling. Minimizing data duplication.

Data 99

Data Course Groups Consumers 99

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.

Survey 52

Survey Net Promoter Score Analysis Transportation 52

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?

Data 80

Data Analytics Customer Experience Professionals Tools 80

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.

Analysis 49

Analysis Ecommerce Social Media Comparison 49

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.

Customer Retention 96

Customer Retention Analytics Data Strategy 96

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).

Data 32

Data Analytics Government Tools 32