Datplan DataPull Verified Customer Reviews (2026)

SCIKIQ 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

AnalyticsCreator helps Microsoft data teams turn governed design into deployable data solutions without introducing a proprietary runtime layer. Teams use AnalyticsCreator to define warehouse structures, transformation logic, historisation rules, relationships and dependencies in a central model. From that model, the application can generate native implementation assets for technologies such as SQL Server, SSIS, Azure Data Factory, Microsoft Fabric and Power BI. The approach is designed for organisations that want to standardise how data warehouses and data products are engineered while keeping full control of the resulting code and project artefacts. Generated outputs can be integrated into existing Git, Azure DevOps and CI/CD workflows for versioning, review and controlled deployment across environments. AnalyticsCreator supports dimensional, 3NF and hybrid modelling as well as common engineering patterns including delta loading, Slowly Changing Dimensions, snapshots and historisation. Documentation, lineage and dependency information are maintained alongside the project design, making it easier to assess the impact of proposed changes and keep implementation aligned with the underlying model. The AnalyticsCreator Governed Control Model provides the foundation for this process by keeping business meaning, technical structures and implementation logic connected. Design Intelligence builds on that context by making governed project metadata, lineage, dependencies and design rules available to authorised AI tools and agents. Typical use cases include modernising SQL Server and SSIS estates, building Microsoft Fabric solutions, standardising Power BI delivery and creating repeatable data warehouse and data product engineering processes.

AnalyseAI acts as a smart assistant that effortlessly integrates with your TallyPrime system, allowing you to ask a variety of business-related questions in simple terms. You can inquire about details such as "Who owes us more than Rs 50,000?", "What were our sales figures this month?", or "Can you send me invoice INV-2026-0148?" and receive prompt answers, complete with a PDF or Excel report for easy distribution. It offers an extensive array of functionalities, such as tracking sales and purchases, managing accounts receivable with aging reports, monitoring outstanding invoices, maintaining a day book, providing ledger summaries, and displaying bank and cash balances, in addition to detailed stock data categorized by location and item, stock movements, and reproductions of invoices, credit notes, and debit notes. Users can communicate in numerous languages, including English, Hindi, Kannada, Tamil, Telugu, Arabic, or Hinglish, and have the convenience of interacting through either the web app or WhatsApp. The installation process is quick and uncomplicated: just set up a small Windows connector next to Tally, pair it using a code, and you can start asking questions immediately. Importantly, the system is designed with a read-only mode to maintain data integrity, and user permissions can be tailored across various Tally companies. With pricing plans beginning at only $7 a month, it is an affordable solution, and it is crucial to mention that this product operates independently and is not linked to Tally Solutions. Overall, with its intuitive interface and powerful features, AnalyseAI significantly improves the efficiency of business inquiries and supports better decision-making. This innovative tool empowers users to gain insights quickly and effectively, transforming the way businesses interact with their financial data.