eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
Text analytics, sometimes called text data mining, is the process of uncovering insightful and actionable information, trends, or patterns from text. The extracted and structured data is much more ...
Fueled by advancing technology, Voice of the Customer programs allow organizations to gain real-time CX insights. Learn more. The use of technologies like natural language processing (NLP) and ...
It's impressive that the internet can generate so much qualitative data through ordinary online conversations. Your Facebook page asks “how are you feeling?” LinkedIn asks for testimonials rather than ...
Massive volumes of unstructured data are produced every minute. It's extremely difficult to manage and analyze this data to identify what is pertinent. But with text analytics tools, businesses can ...
With automated text analytics tools, a hotel can quickly and easily assesss whether they should be spending money on new linens or pool improvements. Text analytics can be used to develop a better ...
When business people talk Big Data, they often focus on the complexity of dealing with enormous data volume, but that’s changing. Volume alone does not pose the challenge it once did. For example, the ...
Tableau, TIBCO Data Science, IBM and Sisense are among the best software for predictive analytics. Explore their features, pricing, pros and cons to find the best option for your organization.
The goal of any business analytic tool is to analyze data and extract actionable and commercially relevant information that you can use to increase results or performance. But with so many tools ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback