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What is mAdvisor?

Our team is committed to unlocking the full potential of your data by leveraging our deep analytical expertise, cutting-edge digital tools, and proven methodologies. Effortlessly transform your raw data into valuable, actionable insights in no time! We provide all-encompassing data reporting and dashboard solutions that facilitate real-time visualizations from dynamic data streams. Our team is skilled in developing narratives tailored for BI platforms, particularly using tools such as PowerBI, Tableau, and Qlik Sense. Moreover, we offer a distinguished Auto ML solution that effectively translates data into impactful insights and predictions without requiring manual intervention. We also focus on the entire machine learning lifecycle, which includes toolchain integration, pipeline design, development, deployment, and automation. Additionally, we prioritize the reduction of bias and the management of risks within machine learning systems to ensure the reliability and fairness of your analytics outcomes. By collaborating with us, you will experience a holistic strategy for data-driven decision-making that significantly boosts your operational effectiveness and positions you for long-term success. Ultimately, our goal is to empower you to make informed choices that will drive your business forward.

What is Qlik Compose?

Qlik Compose for Data Warehouses provides a modern approach that simplifies and improves the setup and management of data warehouses. This innovative tool automates warehouse design, generates ETL code, and implements updates rapidly, all while following recognized best practices and strong design principles. By leveraging Qlik Compose for Data Warehouses, organizations can significantly reduce the time, costs, and risks associated with business intelligence projects, regardless of whether they are hosted on-premises or in the cloud. Conversely, Qlik Compose for Data Lakes facilitates the creation of datasets ready for analytics by automating the processes involved in data pipelines. By managing data ingestion, schema configuration, and continuous updates, companies can realize a faster return on investment from their data lake assets, thereby strengthening their overall data strategy. Ultimately, these powerful tools enable organizations to efficiently harness their data potential, leading to improved decision-making and business outcomes. With the right implementation, they can transform how data is utilized across various sectors.

Media

Media

Integrations Supported

BLUE Software
EZConvertBI
Pantomath
QVANTUM
Rayven
Tenant

Integrations Supported

BLUE Software
EZConvertBI
Pantomath
QVANTUM
Rayven
Tenant

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Marlabs

Company Location

United States

Company Website

www.marlabs.com/data-analytics-ai/

Company Facts

Organization Name

Qlik

Date Founded

1993

Company Location

United States

Company Website

www.qlik.com/us/products/qlik-compose-data-warehouses

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Categories and Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

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