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Data + Analytics

The Data and Analytics Foundation for Intelligent Applications

Helping you connect, manage, and visualize data with AI-powered, embedded, and governed intelligence that powers intelligent applications.

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See for yourself why 500K+ users are using insightsoftware to draw instant data insights, react swiftly to market changes, and outpace their competition

Disparate Systems <span>Limit Data Potential</span> and AI Insights

Siloed data slows decisions, creates inefficiencies, and limits AI. Break down silos and with real-time, standards-based connectivity. Our solutions ensure interoperability, AI-ready pipelines, and flexible governance for secure, high-performance access.

Data Chaos Undermines Trust in <span>Your Analytics</span> and AI Applications

Inconsistent data leads to compliance risks, erodes trust, and weakens AI effectiveness. Transform your enterprise decision-making with accurate, secure, and clear data insights. Establish confidence in your analytics and data-driven decisions.

Modern Businesses Can’t Afford <span>Yesterday’s Analytics</span>

Traditional tools lock users into rigid, outdated workflows, lacking flexibility and AI adaptability. Empower every user with AI-powered, embedded analytics. Our highly interactive solutions deliver role-based insights tailored to every stage of their journey

Solving the Biggest Challenges in Data, AI, and Analytics

Frictionless Data Access for AI, BI, ETL, and Scalable Analytics

Challenge – Disconnected data limits AI effectiveness and slows innovation across BI, ETL, and analytics workflows. Impact – Without easy access, organizations face incomplete insights, governance risks, and slow decision-making. Solution – Standards-based connectivity ensures real-time access across databases, cloud platforms, and APIs, eliminating data silos and ensuring accuracy at scale. Outcome – Whether enabling AI, fueling BI, or streamlining ETL, we provide secure, scalable access to all data sources—empowering data-driven growth with confidence.

Embedded, Customizable Analytics for Real-Time Insights

Challenge – Traditional BI tools force users into rigid dashboards and disconnected workflows, making insights hard to access when they’re needed most. Impact – Many solutions fail to adapt to user roles or leverage AI, leading to slow workarounds that delay decision-making. Solution – Embedded, customizable analytics integrate into any application, delivering AI-powered insights in real-time at the point of need. Outcome – Empower every user with self-service analytics designed for their workflow—driving smarter decisions without disruption.

Self-Service AI Analytics That Scale With Your Business

Challenge – Enterprise data tools must support complex, large-scale deployments, but traditional BI solutions struggle to adapt. Impact – Rigid dashboards, siloed data, and limited AI capabilities prevent organizations from delivering the right insights to the right users. Solution – Our AI-driven, self-service analytics embed directly into enterprise apps—ensuring governed, scalable, role-specific insights. Outcome – Meet enterprise complexity demands with analytics built to integrate, adapt, and grow with your business.  

Case Studies

Proven Results: How Businesses Thrive with Data + Analytics

insightsoftware empowers customers with data solutions, enhancing value delivery, saving monthly hours on workflows, and seamlessly connecting crucial data sources.

Reduced Inefficiencies, Better Performance

Taylor Forge, a manufacturer of custom-fabricated steel products, used Logi Symphony to improve its project visibility and delivery performance. Logi Symphony enabled the company to access real-time data, identify inefficiencies, and reengineer its processes.
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Facilitating Real-Time Analysis

The Children’s Hospital Oncology Division utilized Simba Netezza ODBC Data Connector for Mac to access Netezza lab data, facilitating seamless, reliable, and real-time analysis. The connector empowered the medical and research team with quick, real-time access to trusted data, enhancing cancer research efforts.
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Simplifying Data Access

Discover how Databricks maximized ROI by integrating Simba’s ODBC Data Connector, enabling seamless BI tool compatibility for faster, smarter decisions. Simplifying data access through SQL, Databricks empowers users to harness Spark’s power effortlessly.
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Transforming Outdated Analytics

Karmak achieved significant ROI by embedding Logi Symphony, transforming outdated analytics into modern BI capabilities. The solution empowers users of all skill levels with self-service analytics and customizable dashboards, enabling smarter, data-driven decision-making across the board.
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Featured Blogs

Read and watch the latest resources for finance and operations professionals looking to get inspiration on how to improve their processes.

  • A Quick Guide to Embedded Dashboards

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    A Quick Guide to Embedded Dashboards

    Learn the ins and outs of embedded dashboards: how they display data and analytics within existing business or consumer applications.

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  • Improve Your BI & ETL Performance With Trino Simba Drivers

    Blog

    Improve Your BI & ETL Performance With Trino Simba Drivers

    Learn how Simba ODBC/JDBC drivers connect Trino and Apache Iceberg to tools like Tableau and Power BI, optimizing BI and…

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Frequently Asked Questions

What makes your approach different?

Data is in our DNA. Thirty years ago, we defined the data connectivity standard still used today. We wrote the book on data visualization controls for the web and applications—laying the foundation for many of the BI tools that exist today. We even coined the phrase “Embedded Analytics.” This isn’t just technology; it’s a heritage of shaping how the world connects, visualizes, and understands data.

Why does AI-driven analytics matter?

AI isn’t just about automating insights—it’s about making data more accessible, faster, and smarter. By embedding AI directly into the data experience, we eliminate bottlenecks, surface hidden patterns, and empower users with predictive capabilities that traditional analytics can’t match. AI-driven data is proactive, not reactive.

Why is seamless data connectivity essential?

Without standardized, reliable data access, analytics are built on incomplete or siloed information. We pioneered the ODBC and JDBC standards to ensure frictionless connectivity between applications and databases, enabling real-time, unified insights across any data source. Whether it's on-premises, in the cloud, or across disparate environments, seamless connectivity is the foundation of trusted analytics.

Why do you need an ETL strategy?

ETL (Extract, Transform, Load) is the backbone of any analytics initiative—turning raw, scattered data into something usable. But traditional ETL can be slow and complex. A modern data approach goes beyond basic extraction, offering built-in transformation, cleanup, and enrichment that accelerate projects and ensure high-quality data from day one.

What is a semantic layer for AI and why does it matter?

A semantic layer for AI applies business meaning, relationships, and governance to enterprise data so AI systems interpret information the same way the business does. Instead of relying on raw schemas or brittle transformations, a semantic layer enforces business rules and context at query time. This reduces hallucinations, improves consistency, and ensures AI outputs are auditable and verifiable for production use.

How do enterprises give AI systems secure access to live data?

Enterprises give AI systems secure access to live structured data through governed, driver-level connectivity that queries data in place rather than copying it into pipelines or vector stores. While retrieval-augmented generation (RAG) is well suited for unstructured content like documents and text, structured enterprise data requires semantic context, security controls, and governance at query time. This approach provides real-time access with full auditability, compliance, and operational safety.

How can organizations reduce AI hallucinations with enterprise data?

Organizations reduce AI hallucinations by grounding AI systems in governed, contextual, and verifiable enterprise data. Applying business semantics and governance at query time ensures every response is based on trusted sources and consistent logic. Deterministic, auditable results replace probabilistic guessing, allowing teams to trust and defend AI-driven decisions.

Why does extensibility matter in analytics?

Data needs evolve. A rigid system today becomes a bottleneck tomorrow. With open APIs, integration frameworks, and modular customization, extensibility ensures your analytics and data strategy can adapt—not just to current needs, but to future innovation. Scalable, flexible solutions future-proof your investment.

Why embed analytics instead of using standalone dashboards?

Data-driven decisions shouldn’t require users to jump between platforms. Embedded analytics integrates insights directly into the tools and workflows people already use—whether it's an ERP, CRM, or custom application. The result? Higher engagement, faster decision-making, and analytics that feel like an extension of the business, not an afterthought.

Why should non-technical users have access to data?

If only data specialists can extract insights, decision-making slows down. Self-service analytics empower every user—whether in finance, sales, or operations—to generate reports, explore trends, and answer questions without relying on IT. Democratizing data leads to faster, more informed decisions at every level.

Why is security and governance non-negotiable?

Data is a business’s most valuable asset, but without proper governance, it’s also a liability. Granular access controls, encryption, and compliance frameworks ensure that only the right people have access to the right data at the right time—without compromising usability. Trust in data starts with security, not as an afterthought, but as a built-in foundation.