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DayforceDayforce is a powerful, AI-driven human capital management platform designed to unify and simplify every aspect of workforce management within a single system. It integrates core functions such as HR, payroll, time tracking, talent management, benefits administration, and analytics into one cohesive solution. The platform leverages a single data model with real-time calculations, ensuring accurate and up-to-date information across all processes. Dayforce enables organizations to streamline operations, reduce administrative burden, and improve overall efficiency. With built-in AI capabilities, it provides intelligent insights for hiring, workforce planning, employee engagement, and performance optimization. Employees benefit from self-service tools that allow them to access payroll, schedules, and benefits anytime, enhancing flexibility and satisfaction. The platform also supports advanced workforce management features, including scheduling optimization and labor cost control. Its analytics and reporting tools deliver real-time visibility into workforce trends, helping leaders make data-driven decisions. Dayforce is designed to support global organizations, offering payroll capabilities across multiple countries and compliance with local regulations. The system helps businesses attract, develop, and retain top talent through integrated talent management tools. Its scalable architecture makes it suitable for organizations of various sizes and industries. With strong support services and implementation guidance, companies can quickly adopt and maximize the platform’s value. Ultimately, Dayforce enables organizations to operate more efficiently, empower their workforce, and drive long-term success.
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AnalyticsCreatorAccelerate your data initiatives with AnalyticsCreator—a metadata-driven data warehouse automation solution purpose-built for the Microsoft data ecosystem. AnalyticsCreator simplifies the design, development, and deployment of modern data architectures, including dimensional models, data marts, data vaults, and blended modeling strategies that combine best practices from across methodologies. Seamlessly integrate with key Microsoft technologies such as SQL Server, Azure Synapse Analytics, Microsoft Fabric (including OneLake and SQL Endpoint Lakehouse environments), and Power BI. AnalyticsCreator automates ELT pipeline generation, data modeling, historization, and semantic model creation—reducing tool sprawl and minimizing the need for manual SQL coding across your data engineering lifecycle. Designed for CI/CD-driven data engineering workflows, AnalyticsCreator connects easily with Azure DevOps and GitHub for version control, automated builds, and environment-specific deployments. Whether working across development, test, and production environments, teams can ensure faster, error-free releases while maintaining full governance and audit trails. Additional productivity features include automated documentation generation, end-to-end data lineage tracking, and adaptive schema evolution to handle change management with ease. AnalyticsCreator also offers integrated deployment governance, allowing teams to streamline promotion processes while reducing deployment risks. By eliminating repetitive tasks and enabling agile delivery, AnalyticsCreator helps data engineers, architects, and BI teams focus on delivering business-ready insights faster. Empower your organization to accelerate time-to-value for data products and analytical models—while ensuring governance, scalability, and Microsoft platform alignment every step of the way.
What is Analytics 101?
Analytics101 Business Intelligence (BI) and analytics platform brings together real-time dashboards, OLAP-powered multidimensional analysis, embedded BI, predictive modelling, and seamless data-visualisation into a single enterprise-grade solution.
Analytics101 enables organisations to aggregate data from disparate sources—ERP, CRM, HR, IoT, cloud and legacy systems—into a unified analytics layer. With OLAP (online analytical processing) at its core, users can slice and dice high-volume data across multiple dimensions (time, region, product, channel) to uncover trends, correlations and performance drivers typical BI tools miss. Real-time data processing ensures that metrics, KPI changes and anomalies are visible as they happen, enabling faster, more informed decisions.
The platform’s interactive dashboards and visualisations turn complex datasets into intuitive storyboards: users benefit from drill-down filtering, custom widgets, mobile access and embedded analytics within existing business applications—eliminating the need to switch tools to act on insight. Role-based access control (RBAC) ensures each stakeholder sees the data that matters most—executives see strategic overviews, managers focus on team-level KPIs, and analysts dive into granular transactional data.
Analytics101 offers AI/ML-assisted insights, anomaly detection, recommendation engines, and workflow automation. It supports ETL/ELT, data warehousing, collaborative analytics, MIS automation and embedded self-service, making it suitable across industries.
Retail Fintech Transformation:
A retail microfinance enterprise improved transaction visibility, fund tracking, and team productivity—achieving 30% higher retail performance using Analytics101’s real-time insights.
Fintech Data Management:
A leading financial services provider enhanced audit transparency and decision accuracy with role-based analytics, unified dashboards, and hierarchical visibility powered by Analytics101.
What is AnalyticDB?
AnalyticDB for MySQL stands out as a robust data warehousing solution, engineered to offer security, dependability, and ease of use. It allows for the effortless production of online statistical reports, multidimensional analysis structures, and real-time data warehousing. Thanks to its distributed computing design, AnalyticDB for MySQL takes advantage of the cloud's scalable nature to manage enormous data volumes, effortlessly accommodating tens of billions of records in real-time. The service organizes data through relational models and supports versatile computation and analysis via SQL. Additionally, it makes database management more straightforward, giving users the flexibility to scale nodes and modify instance sizes as necessary. With a comprehensive suite of visualization and ETL tools, AnalyticDB for MySQL greatly enhances the efficiency of enterprise data processing. Users can perform instantaneous multidimensional analysis, sifting through massive datasets in mere milliseconds, thus delivering critical insights without delay. Furthermore, its extensive features enable organizations to effectively meet their data needs while remaining agile in the face of evolving requirements, ensuring long-term business success. Overall, this solution is pivotal for any business aiming to leverage data for strategic decision-making.
Integrations Supported
Alibaba Cloud
MySQL
PostgreSQL
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$0.248 per hour
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
SmartinfoLogiks
Date Founded
2013
Company Location
India
Company Website
www.smartinfologiks.com/platform/analytics101
Company Facts
Organization Name
Alibaba Cloud
Date Founded
2008
Company Location
China
Company Website
www.alibabacloud.com/es/product/analyticdb-for-mysql
Categories and Features
Business Intelligence
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics
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