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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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What is Microsoft Power Query?
Power Query offers an intuitive approach for connecting to, extracting, transforming, and loading data from various origins. Functioning as a powerful engine for data manipulation, it boasts a graphical interface that makes the data retrieval process straightforward, alongside a Power Query Editor for applying any necessary modifications. Its adaptability allows for integration across a wide array of products and services, with the data storage location being dictated by the particular application of Power Query. This tool streamlines the extract, transform, and load (ETL) processes, catering to users' diverse data requirements. With Microsoft's Data Connectivity and Data Preparation technology, accessing and managing data from hundreds of sources is made simple in a user-friendly, no-code framework. Power Query supports a wide range of data sources through built-in connectors, generic interfaces such as REST APIs, ODBC, OLE, DB, and OData, and it even provides a Power Query SDK for developing custom connectors to meet specific needs. This level of flexibility enhances Power Query's value, making it an essential resource for data professionals aiming to optimize their workflows and improve efficiency. As such, it empowers users to focus on deriving insights from their data rather than getting bogged down by the complexities of data handling.
What is Data Preparer?
Our cutting-edge Data Preparer software revolutionizes the time-consuming task of manual data preparation, converting what typically takes a week’s worth of effort into just a matter of minutes by utilizing smart data management techniques. This novel method empowers users to articulate their specific needs, allowing the software to autonomously identify the most effective means to meet those requirements. With Data Preparer, there is no longer a need for tedious coding, as it adeptly handles all data preparation chores without requiring complex programming skills. Users need only to define their criteria by providing data sources, outlining a desired format, setting quality standards, and sharing sample data. The defined target structure and quality considerations offer vital clarity, ensuring that the requirements are accurately understood, while the sample data assists Data Preparer in the efficient cleanup and integration of datasets. After establishing the parameters, Data Preparer takes the reins, scrutinizing the relationships among different data sources and the specified target, thereby seamlessly populating the target with the relevant data. Additionally, it evaluates various techniques for merging the sources and modifies the data format as necessary, which streamlines the entire experience for users. This not only simplifies the process of data preparation but also significantly elevates the quality of the resulting analysis, ultimately allowing for quicker decision-making and improved business outcomes. Furthermore, with its user-friendly interface, Data Preparer is designed to cater to users of all skill levels, making data management accessible to a broader audience.
Integrations Supported
Active Directory
Apache Hive
Databricks Data Intelligence Platform
Google Cloud Platform
IBM Informix
MariaDB
Microsoft Access
Microsoft Excel
Microsoft Exchange
Planview Portfolios
Integrations Supported
Active Directory
Apache Hive
Databricks Data Intelligence Platform
Google Cloud Platform
IBM Informix
MariaDB
Microsoft Access
Microsoft Excel
Microsoft Exchange
Planview Portfolios
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$2500 per user per year
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
Microsoft
Date Founded
1975
Company Location
United States
Company Website
powerquery.microsoft.com/en-us/
Company Facts
Organization Name
The Data Value Factory
Date Founded
2018
Company Location
United Kingdom
Company Website
thedatavaluefactory.com
Categories and Features
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
Categories and Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface