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What is Dcipher Analytics?

Dcipher Analytics presents an advanced, no-code SaaS text analytics platform aimed at enabling professionals without a technical background to harness the power of data. This state-of-the-art platform significantly accelerates the process by which analysts extract insights, train models, and streamline their workflows. Central to Dcipher Analytics is its unique architecture and proprietary query language meticulously crafted to manage complex nested data structures, including text. As a leading solution for tapping into the potential of unstructured text data, Dcipher Analytics distinguishes itself in the competitive landscape. Whether you are searching for a flexible tool, an integration API, or actionable insights, this platform serves as the perfect solution. It empowers users to analyze various customer interactions—such as emails, reviews, and chat logs—allowing for the identification of issues and improvements in customer satisfaction. Moreover, it facilitates the development of more relevant FAQs, accelerates chatbot training, and enables the mining of social media to uncover consumer preferences and trends, thereby effectively supporting marketing and product development efforts. In essence, Dcipher Analytics revolutionizes how businesses utilize text data, providing them with a strategic advantage in decision-making processes. This transformative approach not only enhances operational efficiency but also fosters a deeper understanding of customer needs and market dynamics.

What is Centriam?

Centriam skillfully converts raw data into practical insights at an affordable rate, assisting you in reducing customer churn while also enhancing upsell opportunities. Leverage customer behavior and data to determine the optimal timing and method for gathering feedback. With Centriam, you can initiate highly customized feedback campaigns triggered by specific customer interactions. By associating feedback with detailed customer profiles, you acquire an in-depth understanding of their challenges. It's essential to tackle the most pressing concerns through targeted follow-up communications that draw from both customer feedback and insights. Swiftly addressing customer issues in a way that aligns with their expectations is vital. Moreover, integrating Centriam with various data systems allows you to set up feedback triggers that react to customer behaviors and insights effectively. Craft specific follow-up strategies that take into account customer feedback, text analytics, and profile data, while also identifying which customers need urgent attention. By prioritizing follow-ups based on these factors, you can significantly boost customer satisfaction and engagement. This well-rounded approach fosters a deeper connection and a more responsive relationship with your clients, ultimately leading to enhanced loyalty and trust.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Dcipher Analytics

Company Location

United States

Company Website

www.dcipheranalytics.com

Company Facts

Organization Name

Centriam

Date Founded

2012

Company Location

United States

Company Website

www.centriam.com

Categories and Features

Text Mining

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

Categories and Features

Customer Experience

Action Management
Analytics
Customer Segmentation
Dashboard
Feedback Management
Knowledge Management
Multi-Channel Collection
Sentiment Analysis
Survey Management
Text Analysis
Trend Analysis

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