What is cubeanalytics.com?
Cube offers a powerful automation platform designed to generate business insights rapidly. It empowers organizations by enabling the creation of custom automation applications tailored to specific needs, without requiring users to write code. This approach democratizes advanced automation capabilities, making them accessible to everyone within an organization, regardless of their technical expertise.
The platform excels in data collection and processing by integrating and automating data ingestion and transformation workflows. It connects to diverse organizational data sources and employs advanced transformation and wrangling operations. Furthermore, Cube leverages text analytics and data science to extract intelligence, allowing teams to build and deploy applications for various use cases such as BI reporting automation, advanced analytics, data exploration, and market research, all built upon hyperconfigurable and intelligent building blocks that adapt to data changes.
Features
- Rapid Application Creation: Quickly spin up automation applications with functionality tailored to specific needs.
- Democratized Automation: Equip everyone in the organization with advanced automation capabilities, regardless of their technical abilities.
- Data Collection & Processing: Integrate and automate data ingestion and transformation from various organizational data sources.
- Advanced Transformation & Wrangling: Provides sophisticated operations for data preparation and cleaning.
- Text Analytics & Data Science: Utilizes text analytics and data science capabilities to drive intelligence and train models.
- No-Code/Low-Code Custom Applications: Empowers teams to create personalized automation applications for unique use cases.
- Hyperconfigurable Building Blocks: Flexible components can be configured to handle a wide array of use cases.
- Intelligent Adaptation: Building blocks autonomously react to changes in data, reducing the need for technical rework.
- Workflow Orchestration: Seamlessly handles orchestration of workflows across ingestion, processing, data science, and user-facing applications.
- Optional Coding Capabilities: Offers low-code options to write custom Python and SQL for advanced requirements.
Use Cases
- BI Reporting Automation: Automate recurring business intelligence reporting to reallocate resources to higher-value activities.
- Advanced Analytics: Combine siloed data sources and run advanced data science models to predict key business metrics.
- Effortless Data Exploration: Leverage automated tools for rapid data exploration through statistical summaries, pivots, and cluster maps.
- Custom Application Development: Build tailored applications for market research, customer insights, supply chain optimization, people analytics, and personalization.
- Data Enrichment: Enhance datasets through text analytics, surveys, and other integrated tools.
- Automated Business Actions: Configure automated actions, such as email updates or API signals, based on custom business logic.
- Streamlined Data Ingestion: Simplify the ingestion of data from diverse sources, including 1st and 3rd party, structured, and unstructured data.
- ETL Automation: Simplify data pipelines with intelligent building blocks that automatically adapt to data changes.
- Data Science Model Training: Quickly train supervised and unsupervised data science models without extensive ad hoc data wrangling.
FAQs
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Who are the Cube team?
Cube's founders are automation experts with deep enterprise experience. Our team members possess cross-functional expertise across data, analytics, engineering, product and data science disciplines. -
Do I have to replace my current tech infrastructure to start using Cube?
Absolutely not. The Cube platform has been architected with maximal flexibility in mind, so we can fit seamlessly on top of your existing technology ecosystem. No integration work needed on your end. -
Is Cube's solution deployed in the cloud or on prem?
By default Cube is deployed in the cloud within our secure AWS environment. However, the platform is architected with the flexibility to meet your organization's needs. As such, we have the ability to deploy on prem or within your organization's private cloud environment. -
How scalable is Cube's infrastructure?
The Cube platform has been optimized for very large volumes of data to meet the needs of our enterprise customers. We use a combination of industry-leading proprietary techniques (optimized data storage, parallelized processing, dynamically scaled infrastructure, etc) to ensure your team moves at lightning speed as you scale. -
Does Cube integrate with or replace my existing data stack?
Cube can seamlessly integrate into your existing data stack or replace your stack entirely, depending on your preferences. A common configuration for our customers is to have Cube integrate directly into their 1st and 3rd party data sources (data warehouses, 3rd party tools, etc), which allows them to leverage Cube's rich functionality downstream of and in parallel to those data sources.
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