NAVIK AI Platform Description
A sophisticated analytics software platform designed to empower leaders in sales, marketing, technology, and operations to make informed business decisions through robust data-driven insights. It caters to a wide array of AI requirements encompassing data infrastructure, engineering, and analytics. The user interface, workflows, and proprietary algorithms are tailored specifically to meet the distinct needs of each client. Its modular components allow for custom configurations, enhancing versatility. This platform not only supports and enhances decision-making processes but also automates them, minimizing human biases and fostering improved business outcomes. The surge in AI adoption is remarkable, and for companies to maintain their competitive edge, they must implement strategies that can scale quickly. By integrating these four unique capabilities, organizations can achieve significant and scalable business impacts effectively. Embracing such innovations is essential for future growth and sustainability.
NAVIK AI Platform Alternatives
Google Cloud BigQuery
BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises.
Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.
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DataBuck
Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
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Qrvey
Qrvey is the only solution for embedded analytics with a built-in data lake.
Qrvey saves engineering teams time and money with a turnkey solution connecting your data warehouse to your SaaS application.
Qrvey’s full-stack solution includes the necessary components so that your engineering team can build less software in-house.
Qrvey is built for SaaS companies that want to offer a better multi-tenant analytics experience.
Qrvey's solution offers:
- Built-in data lake powered by Elasticsearch
- A unified data pipeline to ingest and analyze any type of data
- The most embedded components - all JS, no iFrames
- Fully personalizable to offer personalized experiences to users
With Qrvey, you can build less software and deliver more value.
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Peekdata
It takes only days to wrap any data source with a single reference Data API and simplify access to reporting and analytics data across your teams. Make it easy for application developers and data engineers to access the data from any source in a streamlined manner.
- The single schema-less Data API endpoint
- Review, configure metrics and dimensions in one place via UI
- Data model visualization to make faster decisions
- Data Export management scheduling API
Our proxy perfectly fits into your current API management ecosystem (versioning, data access, discovery) no matter if you are using Mulesoft, Apigee, Tyk, or your homegrown solution.
Leverage the capabilities of Data API and enrich your products with self-service analytics for dashboards, data Exports, or custom report composer for ad-hoc metric querying. Ready-to-use Report Builder and JavaScript components for popular charting libraries (Highcharts, BizCharts, Chart.js, etc.) makes it easy to embed data-rich functionality into your products.
Your product or service users will love that because everybody likes to make data-driven decisions! And you will not have to make custom report queries anymore!
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Pricing
Free Trial:
Yes
Integrations
Company Details
Company:
Absolutdata Analytics
Year Founded:
2001
Headquarters:
United States
Website:
www.absolutdata.com
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Product Details
Platforms
Web-Based
Android App
Types of Training
Training Docs
Customer Support
Business Hours
Online Support
NAVIK AI Platform Features and Options
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