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84% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more ![]()
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79% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more ![]()
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Description | LatentView is a robust data and analytics software trusted by Fortune500 companies. It helps organisations provide better service to individual customers by moving up the analytics maturity curve via actionable insights, which ultimately leads to accurate data-driven decisions. LatentView’s business expertise covers a variety of metrics like big data capabilities, digital solution accelerators, analytics tools and social media predictive analytics. Also, Consulting services, data engineering, business analytics, supply chain analytics, risk and compliance analytics and digital solutions are amongst other vital services available within. Businesses related to industries like CGP and Retail, technology and BFSI find LatentView of great help. Further, technology market readers can trust the particular software with accurate machine learning models and other identified factors that help with subscriptions renewals. LatentView abides by top graded data privacy and safety policies, personal information collected from individual clients are used to deliver relevant content and periodic emails. None of the collected information is sold out to third parties, ever. Read more | KNIME Analytics Platform is an open-source software for creating appropriate data science workflows as per need. Continuously integrating new developments, KNIME makes reusable components accessible to everyone. The platforms intuitive and open interface makes it easy for developers to understand data and design workflows, accordingly. Also, KNIME Hub offered by the same makes it easy for users to drag and drop nodes and components as per choice, without the need for coding. Furthermore, with this software developers can model each step of their data analysis, control the data related workflow of data and ensure that their work is always up to date. With the platform’s native nodes, developers can blend tools from different domains into a single workflow which includes scripting in R & Python, machine learning or connectors to Apache Spark. KNIME Analytics Platform also comes supportive of simple text formats like PDF, CSV, XML, XLS, unstructured data types (documents, networks, images) or time-series data for users to open and combine. Also, this software hosts a series of databases and data warehouses which allows users to connect data from Microsoft SQL, Oracle, Snowflake, Apache Five and more. Read more |
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SW Score & Breakdown |
84% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more
|
79% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more
|
Total Features |
5 Features
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2 Features
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Common Features for All |
Ad hoc Reports
Dashboard
Data Analysis
Strategic Planning
Trend Indicators
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Ad hoc Reports
Dashboard
Data Analysis
Strategic Planning
Trend Indicators
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Organization Types Supported |
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Platforms Supported |
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Modes of Support |
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API Support |
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User Rating |
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Rating Distribution |
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User Sentiments |
Not Available
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Drag and Drop Interface, Open Source Software, Extensive Data Mining Capabilities, Easy Data Integration Steep Learning Curve, Limited Data Visualization, Slow Performance with Large Datasets, Limited Customer Support |
Review Summary |
Not Available
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KNIME Analytics Platform is praised for its intuitive drag-and-drop interface, which simplifies data analysis and automation for both beginners and experienced users. Its ability to handle complex data sets and seamlessly integrate with various data sources, including Excel and databases, is highly valued. However, users often highlight a steep learning curve, especially for novices, and some mention performance issues when processing large data volumes. While the platform is considered powerful, some users wish for more advanced visualization and reporting capabilities. Despite these drawbacks, KNIME remains a popular choice for data mining, machine learning tasks, and building robust data pipelines. |
Read All User Reviews | Read All User Reviews |
AI-Generated from the text of User Reviews
Pricing Options |
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Pricing Plans
Monthly Plans
Annual Plans
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LatentView Custom |
KNIME Analytics Platform Custom |
View Detailed Pricing
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View Detailed Pricing
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Screenshots | Not Available |
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Videos |
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Company Details | Located in: Princeton, New Jersey | Located in: Austin, Texas |
Contact Details |
+16093560662 |
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Social Media Handles |
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