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People.aiMaximize the effectiveness of your sales and marketing approach by utilizing actionable insights that can significantly boost pipeline development and affect the success of ongoing deals. People.ai integrates all data related to revenue-generating activities while enriching every account and opportunity with advanced insights that facilitate the swift creation of high-quality pipelines and improve the execution of each deal. Keep a consistent line of communication regarding all elements of account engagement, ensuring that your team is fully informed about who is involved, which helps in identifying opportunities for accelerating and expanding the pipeline. Develop a profound understanding of how every individual action influences the progression of a deal, enabling you to provide practical advice aimed at enhancing the performance of your representatives. Our cutting-edge data platform breaks down data barriers and utilizes patented AI technology to establish links between buyer interactions and seller productivity, offering insights that elevate the intelligence of your entire Revenue Engine. By integrating these insights into your strategy, you enable data-driven decisions that promote better outcomes and encourage ongoing development in your sales efforts. This comprehensive approach will not only enhance your current operations but also set the foundation for future growth and 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.
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What is YData?
The adoption of data-centric AI has become exceedingly easy due to innovations in automated data quality profiling and the generation of synthetic data. Our offerings empower data scientists to fully leverage their data's potential. YData Fabric facilitates a seamless experience for users, allowing them to manage their data assets while providing synthetic data for quick access and pipelines that promote iterative and scalable methodologies. By improving data quality, organizations can produce more reliable models at a larger scale. Expedite your exploratory data analysis through automated data profiling that delivers rapid insights. Connecting to your datasets is effortless, thanks to a customizable and intuitive interface. Create synthetic data that mirrors the statistical properties and behaviors of real datasets, ensuring that sensitive information is protected and datasets are enhanced. By replacing actual data with synthetic alternatives or enriching existing datasets, you can significantly improve model performance. Furthermore, enhance and streamline workflows through effective pipelines that allow for the consumption, cleaning, transformation, and quality enhancement of data, ultimately elevating machine learning model outcomes. This holistic strategy not only boosts operational efficiency but also encourages creative advancements in the field of data management, leading to more effective decision-making processes.
What is Informatica Data Quality?
Gain immediate strategic benefits by providing extensive support that meets the changing requirements of data quality for various users and data types through automation powered by AI. Whether your organization is involved in data migration or sophisticated analytics, Informatica Data Quality supplies the necessary adaptability to implement data quality seamlessly in any situation. By empowering business users, you can also improve collaboration between IT departments and business executives. Maintain oversight of data quality across both multi-cloud and on-premises environments for a wide range of applications and workloads. Incorporate human intervention within the workflow, allowing business users to evaluate, modify, and authorize exceptions during the automated process as needed. Execute data profiling and ongoing analysis to uncover relationships and more efficiently pinpoint problems. Utilize AI-generated insights to automate vital tasks and enhance data discovery processes, which in turn increases productivity and operational efficiency. This all-encompassing strategy not only improves data quality but also encourages a culture of ongoing enhancement throughout the organization, ultimately positioning your business for future growth and success.
Integrations Supported
Amazon S3
Amazon Web Services (AWS)
Azure Marketplace
Kubernetes
Microsoft Azure
MySQL
PostgreSQL
SQL
VMware Cloud
Wiiisdom Ops
Integrations Supported
Amazon S3
Amazon Web Services (AWS)
Azure Marketplace
Kubernetes
Microsoft Azure
MySQL
PostgreSQL
SQL
VMware Cloud
Wiiisdom Ops
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
YData
Company Location
United States
Company Website
ydata.ai/
Company Facts
Organization Name
Informatica
Date Founded
1993
Company Location
United States
Company Website
www.informatica.com/products/data-quality.html
Categories and Features
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
Categories and Features
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management