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KubitWarehouse-Native Customer Journey Analytics—No Black Boxes. Total Transparency. Kubit is the leading customer journey analytics platform, purpose-built for product, data, and marketing teams that need self-service insights, real-time data visibility, and complete control—without engineering bottlenecks or vendor lock-in. Unlike legacy analytics solutions, Kubit is natively integrated with your cloud data warehouse (Snowflake, BigQuery, Databricks), so you can analyze customer behavior and user journeys directly at the source. No data exports. No hidden models. No black-box limitations. With out-of-the-box capabilities for funnel analysis, retention metrics, user pathing, and cohort analysis, Kubit delivers actionable insights across the full customer lifecycle. Layer in real-time anomaly detection and exploratory analytics to move faster, optimize performance, and drive user engagement. Leading brands like Paramount, TelevisaUnivision, and Miro rely on Kubit for its flexibility, enterprise-grade governance, and best-in-class customer support. See why Kubit is redefining customer journey analytics at kubit.ai
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SemrushSemrush is a SaaS platform designed for managing online visibility and marketing content, enabling businesses to achieve quantifiable outcomes through effective online marketing strategies. Our software caters to enterprises of all sizes, assisting them in enhancing their presence across vital channels while fostering the creation of captivating user-generated content. The insights provided by our data empower users to identify promising growth opportunities. With comprehensive workflow and tracking solutions, businesses can conduct ongoing experiments and evaluate outcomes with greater precision. Gain insights into your competitors' marketing strategies and tactics, analyze traffic on any website, and uncover their promotional methods. Generate innovative ideas to expand your market share and identify keyword and backlink gaps. Learn how to reach a broader audience while minimizing costs, and discover optimal keywords for every PPC campaign. Additionally, keep an eye on your competitors' landing pages and advertising copy, and refine your advertising expenditure at the local level while also evaluating Google Shopping campaigns for better effectiveness. By leveraging these tools, organizations can navigate the competitive landscape with increased confidence and strategic foresight.
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icCubeicCube, an analytics solution developed in Switzerland, is specifically designed for B2B SaaS product and development teams that wish to embed sophisticated analytics within their applications. Our dashboards integrate smoothly into the user interface and experience of the SaaS solution, driven by icCube's robust analytical engine, which accommodates intricate data models while ensuring high-level security standards. Emphasizing a developer-centric methodology, the icCube team supports clients in achieving a seamless and swift transition to production. Understanding the difficulties associated with navigating data, we are excited to introduce our Data Analytics Boutique Services. This offering, which is customized for both new and existing clients, delivers effortless data integration, enhanced security, profound insights, automated decision-making capabilities, and visually compelling reports. Throughout the lifecycle of each project, we maintain a close partnership with our clients, offering everything from prompt feedback to comprehensive support during project and product launches, ensuring that their needs are fully met. Our commitment to collaboration and innovation positions us as a valuable ally in the analytics landscape.
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QuaerisTailored results will be delivered to you based on your preferences, past experiences, and specific role. QuaerisAI ensures that you have access to data that is almost in real-time for all your data needs. The platform boosts your data and document management tasks by leveraging AI technology. To foster knowledge exchange and monitor progress, teams have the ability to share insights and create pinboards. Our sophisticated AI engine swiftly converts your inquiries into a format suitable for database processing within mere seconds. Just as life requires context, so does data; our intelligent AI engine analyzes your search terms, interests, roles, and historical data to rank results that encourage deeper exploration. Additionally, you can effortlessly apply filters to your search outcomes, allowing you to uncover specific details and delve into pertinent questions that arise. This seamless integration of AI not only enhances efficiency but also enriches the overall user experience.
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Google Cloud PlatformGoogle Cloud serves as an online platform where users can develop anything from basic websites to intricate business applications, catering to organizations of all sizes. New users are welcomed with a generous offer of $300 in credits, enabling them to experiment, deploy, and manage their workloads effectively, while also gaining access to over 25 products at no cost. Leveraging Google's foundational data analytics and machine learning capabilities, this service is accessible to all types of enterprises and emphasizes security and comprehensive features. By harnessing big data, businesses can enhance their products and accelerate their decision-making processes. The platform supports a seamless transition from initial prototypes to fully operational products, even scaling to accommodate global demands without concerns about reliability, capacity, or performance issues. With virtual machines that boast a strong performance-to-cost ratio and a fully-managed application development environment, users can also take advantage of high-performance, scalable, and resilient storage and database solutions. Furthermore, Google's private fiber network provides cutting-edge software-defined networking options, along with fully managed data warehousing, data exploration tools, and support for Hadoop/Spark as well as messaging services, making it an all-encompassing solution for modern digital needs.
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fino.digitalFino.digital leads the way in pioneering advancements within the field of account and data analysis technologies. We focus on developing customized software solutions for our clients and partners, creating pathways for innovative business models across both B2B and B2B2C sectors. Our goal is to convert data into actionable insights that deliver considerable value to our customers through state-of-the-art data analytics solutions. By harnessing AI-driven analytics, our technologies scrutinize account transactions approved by individual or corporate clients in real time, yielding essential information about financial conditions, credit evaluations, contractual responsibilities, and even highlighting significant life events such as retirement or childbirth. Our offerings not only enhance sales strategies and improve credit assessments but also streamline the process of invoice and transaction reconciliation, providing substantial advantages derived from data for both your organization and your clients. In the end, we empower businesses to utilize insights that foster growth and refine decision-making processes, ultimately enabling them to thrive in their respective industries.
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AnalyticsCreatorEnhance your data initiatives with AnalyticsCreator, which simplifies the design, development, and implementation of contemporary data architectures, such as dimensional models, data marts, and data vaults, or blends of various modeling strategies. Easily connect with top-tier platforms including Microsoft Fabric, Power BI, Snowflake, Tableau, and Azure Synapse, among others. Enjoy a more efficient development process through features like automated documentation, lineage tracking, and adaptive schema evolution, all powered by our advanced metadata engine that facilitates quick prototyping and deployment of analytics and data solutions. By minimizing tedious manual processes, you can concentrate on deriving insights and achieving business objectives. AnalyticsCreator is designed to accommodate agile methodologies and modern data engineering practices, including continuous integration and continuous delivery (CI/CD). Allow AnalyticsCreator to manage the intricacies of data modeling and transformation, thus empowering you to fully leverage the capabilities of your data while also enjoying the benefits of increased collaboration and innovation within your team.
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Google Cloud BigQueryBigQuery serves as a serverless, multicloud data warehouse that simplifies the handling of diverse data types, allowing businesses to quickly extract significant insights. As an integral part of Google’s data cloud, it facilitates seamless data integration, cost-effective and secure scaling of analytics capabilities, and features built-in business intelligence for disseminating comprehensive data insights. With an easy-to-use SQL interface, it also supports the training and deployment of machine learning models, promoting data-driven decision-making throughout organizations. Its strong performance capabilities ensure that enterprises can manage escalating data volumes with ease, adapting to the demands of expanding businesses. Furthermore, Gemini within BigQuery introduces AI-driven tools that bolster collaboration and enhance productivity, offering features like code recommendations, visual data preparation, and smart suggestions designed to boost efficiency and reduce expenses. The platform provides a unified environment that includes SQL, a notebook, and a natural language-based canvas interface, making it accessible to data professionals across various skill sets. This integrated workspace not only streamlines the entire analytics process but also empowers teams to accelerate their workflows and improve overall effectiveness. Consequently, organizations can leverage these advanced tools to stay competitive in an ever-evolving data landscape.
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Google Compute EngineGoogle's Compute Engine, which falls under the category of infrastructure as a service (IaaS), enables businesses to create and manage virtual machines in the cloud. This platform facilitates cloud transformation by offering computing infrastructure in both standard sizes and custom machine configurations. General-purpose machines, like the E2, N1, N2, and N2D, strike a balance between cost and performance, making them suitable for a variety of applications. For workloads that demand high processing power, compute-optimized machines (C2) deliver superior performance with advanced virtual CPUs. Memory-optimized systems (M2) are tailored for applications requiring extensive memory, making them perfect for in-memory database solutions. Additionally, accelerator-optimized machines (A2), which utilize A100 GPUs, cater to applications that have high computational demands. Users can integrate Compute Engine with other Google Cloud Services, including AI and machine learning or data analytics tools, to enhance their capabilities. To maintain sufficient application capacity during scaling, reservations are available, providing users with peace of mind. Furthermore, financial savings can be achieved through sustained-use discounts, and even greater savings can be realized with committed-use discounts, making it an attractive option for organizations looking to optimize their cloud spending. Overall, Compute Engine is designed not only to meet current needs but also to adapt and grow with future demands.
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Vertex AICompletely managed machine learning tools facilitate the rapid construction, deployment, and scaling of ML models tailored for various applications. Vertex AI Workbench seamlessly integrates with BigQuery Dataproc and Spark, enabling users to create and execute ML models directly within BigQuery using standard SQL queries or spreadsheets; alternatively, datasets can be exported from BigQuery to Vertex AI Workbench for model execution. Additionally, Vertex Data Labeling offers a solution for generating precise labels that enhance data collection accuracy. Furthermore, the Vertex AI Agent Builder allows developers to craft and launch sophisticated generative AI applications suitable for enterprise needs, supporting both no-code and code-based development. This versatility enables users to build AI agents by using natural language prompts or by connecting to frameworks like LangChain and LlamaIndex, thereby broadening the scope of AI application development.
What is Tatvic Badger?
Badger thoroughly examines extensive analytical data to generate automated insights that are valuable for enterprises. This machine learning-based software as a service (SaaS) performs automatic assessments of websites and integrates effortlessly with diverse analytical data sources, including Google Analytics, Google PlayStore, and Search Console. It uncovers the impact of various attributes and events on key business metrics, providing automated evaluations of websites that yield user stories derived from web and app analytics in mere minutes. By harnessing advanced machine learning models, it pinpoints and explains the most significant changes affecting your business operations. With its integrated models, users can process their analytics data through automated website evaluations, drastically reducing the time required for data gathering and further analysis. Its flexible architecture facilitates the integration of multiple web or app analytical sources without the need for complex setups. This cutting-edge solution not only enhances operational efficiency but also significantly increases the potential for better returns on investment. Ultimately, adopting such technology can revolutionize how businesses analyze their analytics and make informed strategic decisions, paving the way for future success.
What is DataClarity Unlimited Analytics?
Introducing the only completely free modern embeddable data and analytics platform that guarantees a self-service, robust, secure, and seamless end-to-end user experience. DataClarity Unlimited Analytics offers an array of benefits, including SIMPLIFIED DATA INTEGRATION that allows users to effortlessly connect, join, curate, cache, and catalog various data sources using a drag-and-drop interface, custom SQL builder, and AI-driven data profiling. Additionally, the platform features INTERACTIVE REPORTS & DASHBOARDS, enabling users to create captivating storyboards with over 80 eye-catching visualizations, geospatial maps, and the option to integrate personal chart designs. Users can engage in REAL-TIME ANALYSIS through advanced data exploration techniques utilizing drill-downs, drill-throughs, and filters, alongside built-in statistical and predictive models, or they can implement their own Python and R code. The platform also ensures SMOOTH APPLICATION INTEGRATION through robust APIs, custom configurations, and flexible embedding options. Furthermore, it emphasizes SECURITY and GOVERNANCE by adhering to security protocols, governance standards, multitenancy, row-level data protection, and SSO (Single Sign-On) features. Designed specifically for Independent Software Vendors (ISVs), SaaS providers, consultancies, and IT teams, DataClarity Unlimited Analytics comes with a free perpetual software license, continuous version updates, and access to support resources, along with an optional paid 24/7 production support package that includes a Service Level Agreement (SLA). This comprehensive offering ensures that users can harness powerful analytics capabilities without any financial burden.
Integrations Supported
Amazon
Azure Kubernetes Service (AKS)
Azure SQL Database
CentOS
Elastic
Firebird
Google
Hazelcast
MariaDB
Materialize
Integrations Supported
Amazon
Azure Kubernetes Service (AKS)
Azure SQL Database
CentOS
Elastic
Firebird
Google
Hazelcast
MariaDB
Materialize
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
FREE
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
Tatvic
Company Location
India
Company Website
www.tatvic.com/data-analytics-solutions/badger/
Company Facts
Organization Name
DataClarity
Date Founded
2002
Company Location
United States
Company Website
dataclaritycorp.com
Categories and Features
Categories and Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Embedded Analytics
Ad hoc Query
Application Development
Benchmarking
Dashboard
Interactive Reports
Mobile Reporting
Multi-User Collaboration
Self Service Analytics
Streaming Analytics
Visual Workflow Management