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dbtdbt is the leading analytics engineering platform for modern businesses. By combining the simplicity of SQL with the rigor of software development, dbt allows teams to: - Build, test, and document reliable data pipelines - Deploy transformations at scale with version control and CI/CD - Ensure data quality and governance across the business Trusted by thousands of companies worldwide, dbt Labs enables faster decision-making, reduces risk, and maximizes the value of your cloud data warehouse. If your organization depends on timely, accurate insights, dbt is the foundation for delivering them.
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FinOpslyFinOpsly helps enterprises regain control of cloud, data, and AI spend—and turn it into measurable business value. As organizations scale across AWS, Azure, GCP, and modern data platforms like Snowflake, Databricks, and BigQuery, technology costs become harder to predict, explain, and control. FinOpsly addresses this challenge by connecting technology spend directly to business outcomes—and enabling teams to act on it in real time. FinOpsly unifies cloud infrastructure, data platforms, and AI workloads into a single operating model where spend is planned upfront, monitored continuously, and optimized automatically. Using explainable, policy-driven AI, the platform helps organizations reduce waste, prevent overruns, and align technology investments with business priorities—without slowing down innovation. With FinOpsly, organizations can: Understand exactly where money is going across AWS, Azure, GCP, Snowflake, Databricks, and BigQuery Plan and forecast costs earlier, before new cloud, data, or AI initiatives are deployed Automate optimization safely, using governance rules aligned to business risk and performance needs Deliver measurable financial impact quickly, often within weeks rather than quarters FinOpsly enables IT, finance, and business leaders to operate from a shared view of spend and value—bringing Value-Control™ to cloud, data, and AI investments at enterprise scale.
What is Azure Data Lake Storage?
Eliminate data silos by adopting a cohesive storage solution that improves cost efficiency through tiered storage options and strategic policy management. Safeguard data integrity with Azure Active Directory (Azure AD) authentication and role-based access control (RBAC), while enhancing data security with essential measures such as encryption at rest and advanced threat protection. This solution emphasizes strong security features, offering flexible protection strategies for data access, encryption, and network governance. It operates as a holistic platform for data ingestion, processing, and visualization, seamlessly integrating with popular analytics tools. Cost savings are realized by scaling storage and computing resources independently, utilizing lifecycle policy management, and applying object-level tiering. With Azure's vast global infrastructure, you can easily accommodate varying capacity requirements and manage data with ease. Moreover, the system supports the execution of extensive analytics queries with reliable high performance, ensuring that your data operations are both efficient and impactful. Ultimately, this approach empowers organizations to harness their data potential fully while maintaining stringent security and performance standards.
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.
Integrations Supported
Adobe Real-Time CDP
Autymate
Azure Data Lake
Azure Data Share
Azure Databricks
Azure HDInsight
Azure Marketplace
Azure Synapse Analytics
Composable DataOps Platform
Data Sentinel
Integrations Supported
Adobe Real-Time CDP
Autymate
Azure Data Lake
Azure Data Share
Azure Databricks
Azure HDInsight
Azure Marketplace
Azure Synapse Analytics
Composable DataOps Platform
Data Sentinel
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
Microsoft
Date Founded
1975
Company Location
United States
Company Website
azure.microsoft.com/en-us/services/storage/data-lake-storage/
Company Facts
Organization Name
SmartinfoLogiks
Date Founded
2013
Company Location
India
Company Website
www.smartinfologiks.com/platform/analytics101
Categories and Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
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