VoiceBase AI Tool Review: Top Alternatives, Pricing, Features and Benefits

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What is VoiceBase ?

VoiceBase is an AI-powered voice analytics tool that provides advanced speech recognition and natural language processing capabilities. It enables businesses to transcribe, analyze, and extract valuable insights from audio data, assisting organizations in various industries to improve customer experience, compliance, and sales optimization.

Features :

Speech-to-Text Transcription
Advanced Speech Analytics
Predictive Analytics
Text Analytics
PCI Redaction for Sensitive Data
Tone & Sentiment Analysis
Integration with Various Platforms

Pricing :

Monthly Subscription: Starting at $250/month
Enterprise Solutions: Custom pricing available upon request

Estimated Visit Traffic :

29.11K /Month

User Distribution :

United States - 8.02% | Colombia - 3.43% | Turkey - 3.41% | Zambia - 3.4% | Chile - 3.31%

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AI Audio Enhancers

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VoiceBase: JSON Shouldn't Remind You of Friday the 13th

Dive into the world of JSON and learn how it can be less intimidating and more manageable with insights from experts at VoiceBase. Discover techniques to parse JSON data and integrate it with familiar analytics tools like Tableau for a smoother, friendlier experience.

1. Setting the Scene

It's a common scenario: you're faced with a JSON file, a semi-structured nemesis that evokes the same dread as the iconic Jason Voorhees. Fear not, because Bridget Cogley, the 'metabolism master,' and Patrick McCormick, the Tableau ambassador, come to the rescue with their clever workarounds and absence of chainsaws.,Their talk at a conference peeled back the mask of JSON, revealing the different levels and complex relationships that seem intimidating at first glance but are manageable with the right approach.,Bridget and Patrick use an applied case from Delta Dental of Washington to present a PG-13-rated session on making sense of complex JSON data and turning it into user-friendly analytics.

2. Demystifying JSON in Tableau

JSON data can look rough and complex, much like the villainous Jason hidden behind his hockey mask. Yet, Bridget breaks down the structure bit by bit, proving that you can handle JSON in Tableau effectively by understanding its intricacies.,She introduces an analytical dance with steps like 'stair-stepping' out data in separate columns, creating sets, implementing detailed level calculations, and filtering to create an integrated tableau dashboard.,This clever approach allows for multi-select functionalities and avoids Cartesian products, which can overwhelm a database with unnecessary complexity. It's all about crafting a seamless user experience that hides the mechanics beneath the functionality.

3. Prepping JSON for Tableau Consumption

Patrick takes on the techier side by introducing viewers to Snowflake, a cloud data warehouse platform. Here, complex JSON documents are parsed into friendly, tabular data ready for consumption in Tableau.,Using views to break down JSON data at different granularities, they make the case for leveraging the data warehouse's performance tuning options to optimize the JSON for Tableau.,The idea is to flatten the JSON only as much as needed for analysis – not to overflatten and risk losing the richness of a semi-structured dataset.

4. Alternative Solutions for Non-Snowflake Users

Worry not if your resource deck doesn't include Snowflake. Other databases like PostgreSQL or SQL Server can also deftly handle JSON parsing. Moreover, data preparation or ETL tools can pitch in, molding JSON into target table shapes with finesse.,The solution hinges on processing the JSON upfront, saving Tableau from the heavy lifting and keeping your analytics precise and streamlined. Think of it as the crucial prep work done before the grand analytical feast in Tableau.,The aim is simple: Parsing JSON should not turn your hair grey. These solutions are the hidden aces up your sleeve, turning JSON from a monster into a manageable ally.

5. VoiceBase Video Summary

Handling JSON data doesn't need to be a harrowing experience akin to the horror movie Friday the 13th. Bridget Cogley and Patrick McCormick demystify the JSON structure using VoiceBase's techniques, showcasing how parsing JSON data for Tableau can feel as comfortable and familiar as any other data source. They offer solutions to turn semi-structured JSON into insightful, actionable data without letting the complexity overshadow the analytic process.

User Reviews On Twitter

Jeff Huckaby
Analytics enthusiast, CEO & co-founder @Versalytix. Lover of sports, music, and analytics driven business value & optimization. https://t.co/ZnpjRAocUN #VFL
Giving back to our community at @Tableau #Data19, love working @VoiceBase. Excited to share something amazing that @WindsCogley created for the #DataFam. Love to help raise money and awareness for @AuntLeahs @EBResearch @girlsplusdata - incredible missions sprou.tt/1QFfsVhSwKC
Dan Raasch
Experienced Contact Center Engineer. Skills include CCaaS, Customer Experience, AWS and Speech Analytics
11 Ways to Leverage Speech Analytics for Marketing blog.voicebase.com/11-ways-to-leverage-speech-analytics-for-marketing
susan g
Compliance monitoring? sprou.tt/1kIOEHfTIEf
susan g
Are you missing critical insights? Measure your Voice Data Health with this tool.
#speechanalytics #digitaltransformation sprou.tt/1Irvjft559T
Paul ‘world beating’ Hopkins 🙋🏽‍♂️👨🏽‍🔬🧮🖥🦡
I work in the interesting intersections among education, science and technology at a university in the UK.
If you are a researcher and are “fed-up” with transcriptions this @VoiceBase is a pretty cool tool. 50h for free and then only 2¢ an hour - pretty amazing! www.voicebase.com/how-it-works-deep-learning-speech-recognition/
OrecX
OrecX, a CallMiner company, provides audio capture for analytics & machine-based learning, and high-fidelity recording for enterprises and contact centers.
Speech Analytics: The Driving Force for Better Business ecs.page.link/7yhs
OrecX
OrecX, a CallMiner company, provides audio capture for analytics & machine-based learning, and high-fidelity recording for enterprises and contact centers.
IMPROVING CX WITH AI-POWERED VOICE ANALYTICS bit.ly/2WoJYns @VoiceBase #OrecxPartner #speechanalytics #audiocapture
Alissa Pagels-Minor
Elder Millenial #blacklivesmatter #translivesmatter #marketing | CHI ✈ LA | 🏳️‍🌈| She/Her | Views are my own.
Want to improve customer experience? Surface #voc insights from your call data.
#speechanalytics #AI #callcenter #CX lnkd.in/gHjeCuS
Jake Duth
Founder @ https://t.co/UlJjI1fmAg. Side projects on my personal site.
Would be nice to see a landing page (even with no css) that actually just says straight away what it does.

I'm going to rant about this one I'm reading through rn, let's see how it goes...

www.voicebase.com/developer-api-for-speech-analytics/

1) "Developer API - A flexible API powering custom voice…
Jim Sinur
Digital Transformation Consultant, Artist and Song Writer
It's Time to Take Advantage of Big Voice Data
www.voicebase.com/voice-voice-baby-big-voice-data-is-here/

@VoiceBase @voicebase_news @voicebase_help @datadecisioning @Datascience__ @DataCareer #DataScience #DataAnalytics #Data #DataVisualization #dataviz #dataengineer @BigDataExpo @bigdataweek #BigData

What users think about VoiceBase - from Twitter

VoiceBase is actively involved in giving back to the community and supporting different missions by teaming up with organizations like Aunt Leah's, EBResearch, and girlsplusdata.
VoiceBase can be leveraged in various ways for marketing purposes, as outlined in its blog discussing the utilization of speech analytics.
The tool offers a compliance monitoring feature, which is important for businesses needing to adhere to regulations.
VoiceBase provides a tool for measuring Voice Data Health, helping to uncover critical business insights within voice data for digital transformation initiatives.
For researchers tired of manual transcription, VoiceBase offers an efficient transcription service with 50 hours free and a cost-effective rate thereafter.
The tool is recognized as a powerful driver for better business outcomes through its speech analytics capability.
With AI-powered voice analytics, VoiceBase aims to improve customer experience (CX) by extracting valuable insights from call data.
VoiceBase promotes the enhancement of customer experiences by analyzing vocal interactions in call centers using AI and speech analytics.
Users express a desire for a more straightforward presentation of VoiceBase's services on its landing page.
VoiceBase emphasizes the importance of utilizing 'Big Voice Data' for in-depth data analysis, engaging with various data-centric communities and events.

VoiceBase Pros and Cons

Pros :

Advanced AI and natural language processing capabilities
Ability to handle large volumes of data
Versatile applications across different industries
Compliance with various data security standards

Cons :

Pricing may be a barrier for small businesses
Complexity of features may require technical expertise

VoiceBase FQA

1. What is VoiceBase primarily used for?
VoiceBase is used for transcribing and analyzing voice data to extract insights, which can be leveraged to improve customer experience, ensure compliance, optimize sales, and provide market intelligence.

VoiceBase Use Cases

Customer Experience Improvement
Market Intelligence Gathering
Sales Optimization
Compliance with PCI Standards
Call Center Analytics

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