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Ratings and Reviews 0 Ratings
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SCIKIQSCIKIQ is one of the most innovative AI-native Data & Intelligence platforms for enterprises, built to make enterprise data AI-ready in weeks, not years. Recognized by Forrester among leading AI-augmented data platforms, NASSCOM League of 10, YourStory Tech30, Inc42 and DataIQ, SCIKIQ is trusted by leading global enterprises across the USA, India, UK and UAE. SCIKIQ brings Data Integration, Data Quality, Data Governance, Metadata Management, Data Lineage, Semantic Intelligence, Knowledge Graphs, Conversational Analytics, Generative AI, Data Products and AI Agents together in one unified platform. Unlike traditional data platforms that require enterprises to move or rebuild their technology stack, SCIKIQ works with what you already have. Connect SAP, Salesforce, Oracle, Snowflake, Databricks, AWS, Azure, GCP, data lakes, warehouses and enterprise applications through 200+ pre-built connectors, with no rip-and-replace. What makes SCIKIQ different is Contextual Intelligence. SCIKIQ doesn't just connect data; it helps AI understand its business meaning. Its semantic layer combines business terms, KPI definitions, metadata, lineage, ownership, rules, ontologies and relationships to create a trusted foundation for enterprise AI. Business users can talk to their data in natural language, investigate KPIs, discover root causes and generate insights without SQL. Data teams gain enterprise-grade governance, quality, lineage and control. AI teams get trusted, contextual data for building GenAI applications and intelligent AI agents. Why enterprises choose SCIKIQ AI-ready in 3–6 weeks | 167+ connectors | 99.9% availability | Multi-cloud | No-code | No vendor lock-in | No replatforming Proven production deployments across Manufacturing retail, airlines, logistics, BFSI, Healthcare and others
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HightouchYour data warehouse serves as the definitive source of truth for customer information. Hightouch facilitates the transfer of this data to the essential tools your business utilizes. This integration ensures that your sales, marketing, customer success, and customer service teams can gain a comprehensive 360-degree perspective of each customer through the platforms they trust. By removing the hassle of repetitive data requests, Hightouch transforms data warehouses into actionable insights. Enhanced data can significantly propel growth, allowing for personalized marketing strategies across diverse channels like email, push notifications, advertisements, and social media. With Hightouch, you won't have to depend on engineering resources to make continuous improvements. Optimized data can lead to increased revenue streams, enabling you to target potential leads with tailored Product Qualified Lead (PQL) or Marketing Qualified Lead (MQL) models. A singular customer view can be effectively integrated with your CRM, ensuring that better data contributes to reducing churn rates. Your customer success CRMs should reflect a thorough understanding of your clientele, utilizing customer data to pinpoint those at risk of disengagement. Every piece of information resides within your data warehouse, and while analytics is an important starting point, Hightouch elevates it by enabling you to leverage SQL for seamless data synchronization across any SaaS platform. This operational capability allows your teams to make data-driven decisions in real time, enhancing overall business performance.
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PlautiPlauti enhances data integrity within Salesforce and Microsoft Dynamics 365 CE, empowering teams to automate processes, generate reports, and leverage AI on reliable records. By ensuring that no information is sent to external servers, all operations occur within your CRM, allowing administrators to maintain complete control without needing to submit any IT requests. The solution addresses data quality throughout the entire record lifecycle, providing a comprehensive overview of data health for all objects and fields, enabling the entire team to operate with a consistent and accurate understanding. It facilitates the bulk cleaning of duplicates, standardizes data formatting, and verifies the validity of emails, phone numbers, and addresses. Additionally, Plauti proactively prevents poor-quality records from entering the system, whether they originate from manual input, imports, APIs, or AI-driven tools such as Agentforce and Copilot. Clean data can be immediately utilized for routing and downstream distribution, allowing AI to function effectively on dependable records. As Plauti is integrated directly with the infrastructure of Salesforce and Dynamics 365 CE, it seamlessly adopts your current permissions and security protocols, eliminating the need for separate logins, avoiding delays in data synchronization, and ensuring compliance with regulations. This deep integration not only optimizes workflow but also enhances trust in your data management processes.
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Google Cloud BigQueryBigQuery serves as a serverless, multicloud data warehouse that simplifies the handling of diverse data types, allowing businesses to quickly extract significant insights. As an integral part of Google’s data cloud, it facilitates seamless data integration, cost-effective and secure scaling of analytics capabilities, and features built-in business intelligence for disseminating comprehensive data insights. With an easy-to-use SQL interface, it also supports the training and deployment of machine learning models, promoting data-driven decision-making throughout organizations. Its strong performance capabilities ensure that enterprises can manage escalating data volumes with ease, adapting to the demands of expanding businesses. Furthermore, Gemini within BigQuery introduces AI-driven tools that bolster collaboration and enhance productivity, offering features like code recommendations, visual data preparation, and smart suggestions designed to boost efficiency and reduce expenses. The platform provides a unified environment that includes SQL, a notebook, and a natural language-based canvas interface, making it accessible to data professionals across various skill sets. This integrated workspace not only streamlines the entire analytics process but also empowers teams to accelerate their workflows and improve overall effectiveness. Consequently, organizations can leverage these advanced tools to stay competitive in an ever-evolving data landscape.
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DataHubDataHub stands out as a dynamic open-source metadata platform designed to improve data discovery, observability, and governance across diverse data landscapes. It allows organizations to quickly locate dependable data while delivering tailored experiences for users, all while maintaining seamless operations through accurate lineage tracking at both cross-platform and column-specific levels. By presenting a comprehensive perspective of business, operational, and technical contexts, DataHub builds confidence in your data repository. The platform includes automated assessments of data quality and employs AI-driven anomaly detection to notify teams about potential issues, thereby streamlining incident management. With extensive lineage details, documentation, and ownership information, DataHub facilitates efficient problem resolution. Moreover, it enhances governance processes by classifying dynamic assets, which significantly minimizes manual workload thanks to GenAI documentation, AI-based classification, and intelligent propagation methods. DataHub's adaptable architecture supports over 70 native integrations, positioning it as a powerful solution for organizations aiming to refine their data ecosystems. Ultimately, its multifaceted capabilities make it an indispensable resource for any organization aspiring to elevate their data management practices while fostering greater collaboration among teams.
What is DataEQ?
BrandsEye empowers businesses to boost their revenue, enhance cost efficiency, and mitigate risks by gaining insights into customer experiences. By leveraging a blend of crowd-sourcing and artificial intelligence, we convert unstructured customer feedback into precise, actionable intelligence. The BrandsEye Crowd, consisting of human contributors, plays a crucial role in pinpointing the factors influencing customer sentiment. This capability not only facilitates informed strategic decisions but also enables effective operational responses. Ultimately, BrandsEye helps organizations stay ahead of market trends and customer expectations.
What is Alteryx?
The Alteryx AI Platform is set to usher in a revolutionary era of analytics. By leveraging automated data preparation, AI-driven analytics, and accessible machine learning combined with built-in governance, your organization can thrive in a data-centric environment. This marks the beginning of a new chapter in data-driven decision-making for all users, teams, and processes involved.
Equip your team with a user-friendly experience that makes it simple for everyone to develop analytical solutions that enhance both productivity and efficiency.
Foster a culture of analytics by utilizing a comprehensive cloud analytics platform that enables the transformation of data into actionable insights through self-service data preparation, machine learning, and AI-generated findings.
Implementing top-tier security standards and certifications is essential for mitigating risks and safeguarding your data. Furthermore, the use of open API standards facilitates seamless integration with your data sources and applications. This interconnectedness enhances collaboration and drives innovation within your organization.
Integrations Supported
1Platform
Adobe Marketo Engage
Amazon Aurora
Catalyst
Data Virtuality
DigDash
IBM SPSS Statistics
Microsoft OneDrive
MySQL
SQL Server
API Availability
API Availability
Pricing Information
On request
Pricing Information
Pricing not provided
Free Trial Offered?
Supported Platforms
SaaS
Android
Supported Platforms
Windows
Customer Service / Support
Standard Support
Web-Based Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
DataEQ (formerly BrandsEye)
Date Founded
2007
Company Location
United Kingdom
Company Website
www.dataeq.com
Company Facts
Organization Name
Alteryx
Date Founded
2010
Company Location
United States
Company Website
www.alteryx.com
Categories and Features
AI Review Management
Not specified
Business Intelligence
Ad Hoc Reports
Benchmarking
Dashboard
Data Analysis
Performance Metrics
Predictive Analytics
Trend / Problem Indicators
Visual Analytics
Customer Data Platforms (CDP)
Not specified
Data Analysis
Not specified
Data Discovery
Not specified
Data Mining
Not specified
Reputation Management
Campaign Management
Response Management
Sentiment Analysis
Social Media Metrics
Social Media Monitoring
Sentiment Analysis
Not specified
Categories and Features
AI Data Analytics
Not specified
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Business Intelligence
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Catalog
Not specified
Data Collaboration
Not specified
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Process Management
Roles Management
Data Integration
Not specified
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Match & Merge
Data Mining
Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining
Data Preparation
Not specified
Data Science
Not specified
Data Validation
Not specified
Hyperautomation
Not specified
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Predictive Analytics
AI / Machine Learning
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
Statistical Analysis
Analytics
Association Discovery
File Management
Forecasting
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization