Skimle vs Zoho Analytics
Overview
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Detailed Comparison
It is a self-service BI and data analytics software that lets you analyze your data, create stunning data visualizations, and discover hidden insights in minutes. | Skimle helps researchers, analysts and consultants turn interviews, reports and other qualitative data into structured insights. Upload your PDFs, documents, audio, video or other data and have our tool analyse them, extract themes and build a transparent and editable Skimle table showing insights for each category from each document with transparent quotes. You can edit and analyse the spreadsheet together with our AI tool and then export to your tool of choice including Word, Excel and Powerpoint slides. Skimle is used by consultants (e.g., due diligence), market researchers (e.g., group interview analysis), academics (e.g., thematic analysis), public sector (e.g., policy feedback analysis), legal professionals (e.g., litigation discovery) and other knowledge workers wanting to harness responsible AI to improve the depth and speed of their work. |
Connect to any Data Source; Variety of visualizations; Spreadsheet-like interface;
Fine-grained access control; White labeling / Embedded BI | Upload interviews, transcripts, reports, PDFs, audio, or video (100+ languages supported), AI analyses each document and identifies key insights, Insights are automatically organized into 20-30 thematic categories, View all data in intuitive spreadsheet-like interface showing what each document says about each theme with full transparency, Edit, merge, split, or reorganize categories to match your analytical framework, Export organized insights with supporting quotes to your desired format (Word reports, Excel tables, PowerPoint slides etc.) |
Statistics | |
Stacks 17 | Stacks 0 |
Followers 13 | Followers 1 |
Votes 0 | Votes 1 |
Integrations | |
| No integrations available | |
What are some alternatives to Zoho Analytics, Skimle?
Metabase
It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.
Superset
Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.
Cube
Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.
Power BI
It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.
Mode
Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.
Google Datastudio
It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.
AskNed
AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.
Shiny
It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.
Redash
Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.
Azure Synapse
It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.
