Combining Data Science, Business Intelligence, and Data Management Capabilities in One Integrated, Self-Serve Platform.
Analance is a robust, scalable end-to-end platform that combines Data Science, Business Intelligence, and Data Management into one integrated self-serve platform. It is built to deliver core analytical processing power to ensure data insights are accessible to everyone, performance remains consistent as the system grows, and business objectives are continuously met within a single platform. Analance is focused on turning quality data into accurate predictions allowing both data scientists and citizen data scientists with point and click pre-built algorithms and an environment for custom coding.
THE ANALANCE PLATFORM:
- Delivers an end-to-end enterprise analytics platform with a strong focus on turning quality data into accurate predictions from one integrated self-serve platform.
- Provides a platform for both data scientists and citizen data scientists with point and click pre-built algorithms and an environment for custom coding.
- Offers an intuitive UI with guided workflows to enable both data scientists and citizen data scientists to master the platform in minutes.
- Unifies multiple tools required for data analysis into one integrated platform to deliver insights with accuracy and quality.
Product Capabilities
- Analance Data Management (ADM): Extract, Transform and Load (ETL) tool to clean and transform data for analysis.
- Analance Advanced Analytics (AAA): Predict based on trained Machine Learning (ML) Models.
- Analance Business Intelligence (ABI): Deploy trained models from AAA into ABI for visualizations.
- Analance Internet of Things (AIoT): Connect to streaming sources for real-time analytics and visualization.
- Analance Artificial Intelligence (AAI): Next generation inference engine for prescriptive analytics.
Key Features:
- Get a demo of Analance or take it for a 30-day test drive.
- Seamless Data Integration
- Data Cleaning and Transformation
- Predictive Analytics and Trends
- Real-time Analytics
- Prescriptive Analytics
- Text and Sentiment Analytics
- Social Analytics
- Business Intelligence and Reporting
- Interactive Visualization
- Self-Serve Capability
- Sign-Sign On to Access All Platforms within Analance
Specifications
Intended Users
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Large Enterprises, Mid Size Businesses, Small Businesses
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Devices Supported
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Web App, Web-based, Windows
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Supported Countries
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Global
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Supported Languages
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English, French
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Support Options
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User Manual, Online Support, Phone Support
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Link to our Page
Company & Product – Overview
Ducen IT helps Business and IT users of Fortune 1000 companies with advanced analytics, business intelligence and data management through its unique end-to-end data science platform called Analance. Analance is an enterprise-class, state of the art integrated platform that delivers power and ease of use to business users and data scientists with a seamless experience and platform scalability to support business growth and strategy.
Get a demo of Analance or take it for a 30-day test drive.
Website:
https://analance.ducenit.com/
Databricks is an industry-leading data analytics platform which is a one-stop product for all data requirements. Databricks is made by the creators of Apache Spark, Delta Lake, ML Flow, and Koalas. It builds on these technologies to deliver a true lakehouse data architecture, making it a robust platform that is reliable, scalable, and fast. Databricks speeds up innovations by synthesizing storage, engineering, business operations, security, and data science.
Databricks is integrated with Microsoft Azure, Amazon Web Services, and Google Cloud Platform. This enables users to easily manage a colossal amount of data and to continuously train and deploy machine learning models for AI applications. The platform handles all analytic deployments, ranging from ETL to models training and deployment.
Databricks deciphers the complexities of processing data to empower data scientists, engineers, and analysts with a simple collaborative environment to run interactive and scheduled data analysis workloads. The program takes advantage of AI’s cost-effectivity, flexibility, and cloud storage.
Databricks Key Features
Some of Databricks key features include:
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Cloud-native: Works well on any prominent cloud provider.
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Data storage: Stores a broad range of data, including structured, unstructured, and streaming.
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Self-governance: Built-in governance and security controls.
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Flexibility: Flexible for small-scale jobs as well as running large-scale jobs like Big Data processing because it’s built from Spark and is specifically optimized for Cloud environments.
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Data science tools: Production-ready data tooling, from engineering to BI, AI, and ML.
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Familiar languages: While Databricks is Spark-based, it allows commonly used programming languages like R, SQL, Scala, and Python to be used.
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Team sharing workspaces: Creates an environment that provides interactive workspaces for collaboration, which allow multiple members to collaborate for data model creation, machine learning, and data extraction.
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Data source: Performs limitless Big Data analytics by connecting to Cloud providers AWS, Azure, and Google, as well as on-premises SQL servers, JSON and CSV.
Reviews from Real Users
Databricks stands out from its competitors for several reasons. Two striking features are its collaborative ability and its ability to streamline multiple programming languages.
PeerSpot users take note of the advantages of these features. A Chief Research Officer in consumer goods writes, “We work with multiple people on notebooks and it enables us to work collaboratively in an easy way without having to worry about the infrastructure. I think the solution is very intuitive, very easy to use. And that's what you pay for.”
A business intelligence coordinator in construction notes, “The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes.”
An Associate Manager who works in consultancy mentions, “The technology that allows us to write scripts within the solution is extremely beneficial. If I was, for example, able to script in SQL, R, Scala, Apache Spark, or Python, I would be able to use my knowledge to make a script in this solution. It is very user-friendly and you can also process the records and validation point of view. The ability to migrate from one environment to another is useful.”