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Noam Liran

Speaker

Noam Liran

2

talks

Founder and CEO - Sightfull

Noam, the Founder and CEO of Sightfull, is at the forefront of revolutionizing analytics, utilizing his unparalleled blend of executive experience and product expertise. Before embarking on his entrepreneurial journey with Sightfull, Noam was instrumental in driving technological leadership and strategic growth as the CTO of Microsoft's Israeli development center. His visionary approach is transforming the landscape of data-driven growth, making complex data analytics accessible and empowering companies to innovate and gain a competitive advantage. This paradigm shift towards clarity and actionable insights marks a new era of informed decision-making. Noam holds an MBA from INSEAD (France and Singapore).

Bio from: Big Data LDN 2024

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Key business metrics, like Annual Recurring Revenue (ARR), are the lifeblood of every company, but calculating and aligning on these critical metrics can be a daunting task. Inconsistent definitions, siloed data, and lack of collaboration between teams often lead to confusion, inefficiencies, and suboptimal decision-making.

In this session, we'll take you on a journey of how a rapidly growing SaaS unicorn tamed the metric beast by leveraging Sightfull's central store of governed metrics and integrated semantic layer.

You'll discover how this company transformed its approach to business metrics from a tangled web of spreadsheets and disparate data sources into a streamlined, transparent, and democratized process accessible to the entire organization.

We'll also demonstrate how business users, such as sales operations analysts and finance teams, were able to ask questions using natural language to perform ad-hoc analysis on the fly without relying on technical experts or complex queries.

By the end of this session, attendees will understand the value of having a central store of governed metrics and an integrated semantic layer, enabling self-service analytics, consistent metric definitions, and effective collaboration between data teams and business users.