Software Alternatives, Accelerators & Startups

Datawiz.io VS Amazon Comprehend

Compare Datawiz.io VS Amazon Comprehend and see what are their differences

Datawiz.io logo Datawiz.io

Get data analytics, generate insights with Datawiz solutions, and automate your retail business processes. Try the demo version for free!

Amazon Comprehend logo Amazon Comprehend

Discover insights and relationships in text
  • Datawiz.io Start page (important indicators)
    Start page (important indicators) //
    2024-09-15
  • Datawiz.io Ready-made reports (30 pieces)
    Ready-made reports (30 pieces) //
    2024-09-15
  • Datawiz.io Report Brand sales
    Report Brand sales //
    2024-09-15
  • Datawiz.io Dashboard Category turnover
    Dashboard Category turnover //
    2024-09-15
  • Datawiz.io Dashboard Category sales
    Dashboard Category sales //
    2024-09-15

The Datawiz BI analytics service helps retailers quickly find answers to essential questions using pre-configured reports, create informative dashboards, and easily share them with colleagues. The service allows users to customize visualizations based on data, simplifying the process of analyzing key metrics in real-time and tracking changes that could impact chain performance. Datawiz offers 35 pre-configured reports that automate core retail processes, utilizing artificial intelligence for fast insight detection. You can add custom metrics, create tailored formulas for analytics, and visualize results through dashboards. The system allows monitoring deviations and managing users. The Store Manager mobile app provides access to analytics on the go. Additionally, you can earn up to 2.5% extra revenue through data monetization.

DATAWIZ BI โ€“ one of 4 critical solutions and a part of the analytical platform Datawiz BES (Business Effectiveness Solution)

  • Amazon Comprehend Landing page
    Landing page //
    2022-02-01

Datawiz.io features and specs

  • Analysis in a few clicks
    You will find 35 pre-configured reports that cover most chain processes.
  • ML-based reports
    Artificial intelligence algorithms help to identify insights faster.
  • Any Data
    Add the metrics that only your business processes need.
  • Custom metrics builder
    Create your formulas for calculating metrics to help you customize your analytics.
  • Create dashboards
    Create, share, and work with visualizations with colleagues.
  • Control deviations of indicators
    The Rules functionality allows you to flexibly configure and receive notifications about deviations from the planned values.
  • Analytics in a mobile phone
    The Store Manager app allows chain top management, store managers, and supervisors to track important business indicators.
  • Convenient user management
    Add an unlimited number of users with access to selected information only. Set up data display restrictions for colleagues according to their position.
  • Data monetization
    Earn up to 2.5% of additional revenue by selling analytical data to suppliers.

Amazon Comprehend features and specs

  • Scalability
    Amazon Comprehend can scale with your needs from small projects to large-scale enterprise applications without the need for manual intervention.
  • Integration
    It integrates seamlessly with other AWS services like S3, Lambda, and Redshift, making it easier to build comprehensive data processing and analysis pipelines.
  • Multi-Language Support
    Supports multiple languages, including English, Spanish, French, German, and many more, catering to a global audience.
  • Advanced Features
    Offers advanced features such as sentiment analysis, entity recognition, topic modeling, and custom entity recognition, which add significant value.
  • Ease of Use
    User-friendly API and documentation make it straightforward for developers to implement and utilize its functionalities.

Possible disadvantages of Amazon Comprehend

  • Cost
    The service can become expensive, especially for high-volume processing and real-time analysis tasks, which may not be cost-effective for smaller businesses.
  • Limited Customization
    While it offers custom entity recognition, the overall customization options are fairly limited compared to some on-premises or open-source solutions.
  • Data Privacy Concerns
    Sending sensitive data to a third-party cloud service may raise privacy and compliance concerns, especially for industries with strict data protection regulations.
  • Dependency on AWS Ecosystem
    Businesses that do not already use AWS services may find it less convenient to integrate and utilize, potentially creating vendor lock-in.
  • Latency
    For real-time applications, the latency involved in sending data to and from AWS servers can be a drawback, affecting performance.

Analysis of Amazon Comprehend

Overall verdict

  • Amazon Comprehend is considered a strong option for businesses that require scalable and robust NLP services. Its comprehensive features and ease of integration with AWS infrastructure make it especially appealing for organizations already utilizing AWS services. However, for users with simpler needs or limited technical expertise, there might be a learning curve involved in its full utilization.

Why this product is good

  • Amazon Comprehend is a natural language processing (NLP) service that offers a range of features such as topic modeling, language detection, entity recognition, sentiment analysis, and more. It leverages machine learning to uncover insights and relationships in text data. The service is highly scalable and integrates seamlessly with other AWS services, making it a powerful tool for enterprises needing text analysis capabilities.

Recommended for

  • Businesses already using AWS infrastructure looking to integrate NLP capabilities.
  • Data scientists and developers who need a scalable and flexible solution for text analysis.
  • Enterprises requiring comprehensive language processing features, such as sentiment analysis, entity recognition, and language identification.

Datawiz.io videos

Datawiz BES

Amazon Comprehend videos

Building Text Analytics Applications on AWS using Amazon Comprehend - AWS Online Tech Talks

More videos:

  • Tutorial - How to Analyse Text with Amazon Comprehend - Sentiment Analysis and Entity Extraction tutorial
  • Review - Analyzing Text with Amazon Elasticsearch Service and Amazon Comprehend - AWS Online Tech Talks

Category Popularity

0-100% (relative to Datawiz.io and Amazon Comprehend)
Data Dashboard
100 100%
0% 0
Spreadsheets
0 0%
100% 100
Data Visualization
100 100%
0% 0
NLP And Text Analytics
0 0%
100% 100

Questions and Answers

As answered by people managing Datawiz.io and Amazon Comprehend.

Why should a person choose your product over its competitors?

Datawiz.io's answer

Our BI analytics is designed and adapted to the needs of retailers. The reports of the solution present a variety of metrics and visualizations that allow you to assess the situation from different angles. Datawiz BI will enable you to work flexibly with the indicators on the service, change, add, and track metrics that are important for stores.

What makes your product unique?

Datawiz.io's answer

Our BI reports and functionality are designed to meet the specific needs of retailers and do not require additional customization by your specialists. We strive to continuously improve Datawiz BI, taking into account changes and innovations in the industry to provide your business with a competitive advantage.

How would you describe your primary audience?

Datawiz.io's answer

Top managers, Store managers, Marketers, Category managers, Merchandisers, Suppliers, Analysts.

By providing unlimited users, we help you focus on achieving your strategic goals without worrying about restrictions and additional costs. We don't charge extra to increase the number of users, giving you the flexibility and cost savings you need as your chain grows.

What's the story behind your product?

Datawiz.io's answer

Since 2016, we have supported retail chains in automating business processes and getting insights from the data to make critical decisions.

We are united by trust in technology effectiveness, love for data, machine learning, and code, and the desire to develop Ukrainian IT solutions. Our primary skill is the ability to make the problematic world of data as simple as possible with intelligent commercial conditions for our partners.

We trust and support the retailers with strategic thinking. We are focused on improvement and growth with a modern approach to business connected with advanced analytics and digital automation

Which are the primary technologies used for building your product?

Datawiz.io's answer

Our solutions are based on artificial intelligence technologies and forecasting algorithms. All service modules, reporting and calculations are created and targeted on retail processes.

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Datawiz.io and Amazon Comprehend

Datawiz.io Reviews

  1. Sofie Tilman
    Insights with BI

    The BI solution changed the way I analyze my retail business. Its comprehensive assortment optimization feature, which utilizes analytical methods such as ABC, XYZ analysis, and BCG matrix, has allowed me to reduce lost sales and write-offs significantly. By optimizing my assortment, I can improve customer satisfaction and drive revenue growth. Furthermore, the sales dynamics analysis feature has provided me with a clear view of how my sales plan is executed across the chain.

    ๐Ÿ Competitors: SAP
    ๐Ÿ‘ Pros:    Analytics reporting|Data analysis|Sales & marketing automation|Nice dashboard|Fast support|Quick and easy
  2. Lilya
    ยท merchandiser at Chain store ยท
    Great tool for sales analysis

    Now I can't imagine how to manage our retail chain store without this BI tool! It is easy to generate reports and dashboards on key sales metrics. It has made tracking stocks and identifying lost sales so much easier. The marketing campaign analysis and loyalty program reporting have also been incredibly helpful in increasing customer engagement and retention.

    ๐Ÿ Competitors: Qlik
    ๐Ÿ‘ Pros:    Informative dashboard|Sales & marketing automation|Easy to track data|Easy integration
  3. We used this BI software in small pharmacy chain In Kazakhstan. After implementing it in all departments we managed to track all the changes in our sales. Moreover, with BI we began to analyze loyalty program effectiveness and found problems that we didn't know about.

    ๐Ÿ Competitors: Qlik, SAP
    ๐Ÿ‘ Pros:    Easy to use|Excellent support
    ๐Ÿ‘Ž Cons:    Only why didnโ€™t i find this before!

Amazon Comprehend Reviews

We have no reviews of Amazon Comprehend yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Amazon Comprehend seems to be more popular. It has been mentiond 23 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Datawiz.io mentions (0)

We have not tracked any mentions of Datawiz.io yet. Tracking of Datawiz.io recommendations started around Mar 2023.

Amazon Comprehend mentions (23)

  • Building a RAG System for Video Content Search and Analysis
    Speech-to-Text Conversion: The AudioProcessing class extracts and processes audio using Amazon Transcribe StartTranscriptionJob API . With IdentifyMultipleLanguages as True , Transcribe uses Amazon Comprehend to identify the language in the audio, If you know the language of your media file, specify it using the LanguageCode parameter. - Source: dev.to / 6 months ago
  • Build a Smart Chatbot with AWS Lambda, Lex, and Enhanced Sentiment Analysis - (Let's Build ๐Ÿ—๏ธ Series)
    To learn more about Amazon Comprehend: Official Page. - Source: dev.to / 11 months ago
  • Amazon Comprehend for Text and Document Analysis
    Reference : https://aws.amazon.com/comprehend/. - Source: dev.to / 11 months ago
  • Challenging the AWS AI Practitioner Beta - My exam experience and insights
    The exam also tests your knowledge of other managed AWS AI services, like Comprehend and Transcribe. These questions generally focused on identifying the appropriate service for a given scenario, which aligns more with the foundational category of the exam. - Source: dev.to / about 1 year ago
  • Building Serverless Applications with AWS - Data
    Would you like additional capabilities like connecting to Machine Learning, Dashboards and Quicksight and leveraging other tools like Comprehend. - Source: dev.to / about 2 years ago
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What are some alternatives?

When comparing Datawiz.io and Amazon Comprehend, you can also consider the following products

SAP - SAP stands for System Applications and Products in Data Processing. SAP is the market leader in ERP software and helps companies of all sizes. Read more

Google Cloud Natural Language API - Natural language API using Google machine learning

Domo - Domo: business intelligence, data visualization, dashboards and reporting all together. Simplify your big data and improve your business with Domo's agile and mobile-ready platform.

spaCy - spaCy is a library for advanced natural language processing in Python and Cython.

Cyfe - Social media, analytics, marketing, sales, support, infrastructure... all in one place. Track your entire business in real-time.

FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.