Category: Blogs

Snowflake has changed the game for cloud data warehousing, giving teams the flexibility, scale, and performance needed to unify their data in one place. But for most organizations, unlocking the full potential of that data still requires long waits, technical bottlenecks, and handoffs between business and analytics teams. That’s where DataChat comes in. DataChat sits… Continue reading Do More With Your Snowflake Data—Faster—with DataChat

Rethinking the AI + BI Hype Cycle If you’ve spent any time around enterprise data teams recently, you know that embedding generative AI into business intelligence (BI) tools has become table stakes. Vendors are racing to bolt new chatbots onto their existing static dashboards, analysts are sneaking in unauthorized conversational UIs, and executives are demanding… Continue reading Beyond AI and BI: Conversational Intelligence for Exploratory Data Analytics

Business users want to explore their data, ask ad-hoc questions, uncover trends, and make decisions that drive impact based on real insights. But too often, they’re blocked—not because they lack interest or ability, but because organizations don’t have a way to let them explore data iteratively. Business leaders hesitate to grant deeper access, fearing that… Continue reading What Happens When You Remove the Fear of ‘Breaking’ the Data?

Most of us don’t lack instincts. What we lack is the time (or access) to validate them. You see a trend in product usage. You sense a shift in customer behavior. You think something’s off in the numbers, but getting answers takes too long. You either wait for someone on the data team to build… Continue reading From ‘I Think’ to ‘I Know’: The Power of Instant Data Exploration

The rise of large language models (LLMs) has sparked well-deserved excitement around AI-driven analytics. The concept is enticing: just send your data to an LLM and receive instant, accurate insights. But the reality is far more complex. Challenges like business semantics, data privacy, AI hallucinations, and correctness persist, requiring a more thoughtful approach—one that integrates… Continue reading Conversational Intelligence: The Future of Self-Service Analytics

By Viken Eldemir, CEO There is a common misconception in the data analytics space: that insights can only come from SQL queries written by data analysts. While data teams are the cornerstone for any data-driven organization, a crucial opportunity is being missed by not enabling business users to ask exploratory questions of the data they… Continue reading Empowering Business Users: The True Value of Self-Service Data Exploration

In recent months, buzzy news articles and social media posts have heralded “agentic AI” as another revolution in computing. Several LLM developers have, in fact, developed models that find information, form plans, use tools, and act autonomously. There’s renewed excitement about automating administrative tasks and business processes that still depend on human agency. Yet AI… Continue reading Agentic AI Should Inform Critical Thinking, Not Take it Over

The business commentariat have long warned of a “skills gap” in enterprise data analytics and claim the solution is to upskill sales, marketers, HR, and the rest. We believe they’ve identified a real problem but have misdiagnosed it. There is a technology gap, not a skills gap, and expensive training programs are not the most… Continue reading Enterprise Data Analytics Has a Technology Gap, Not a Skills Gap