SESSION

Sponsored by: Sigma | Self-Serve Analytics App Development and Data Exploration

OVERVIEW

EXPERIENCEIn Person
TYPEBreakout
TRACKData Warehousing - Analytics and BI
INDUSTRYEnterprise Technology, Media and Entertainment, Retail and CPG - Food
TECHNOLOGIESAI/Machine Learning, Governance, SQL Analytics / BI / Visualizations
SKILL LEVELIntermediate
DURATION40 min

Are your data apps and visualizations constrained by data extracts? With legacy analytics and BI, organizations often find themselves confined to ungoverned, static data snapshots, limiting their agility and stifling informed decision making. Leadspace, a leading AI-driven customer data platform and revenue management solution, challenged this norm by empowering users to explore live, dynamic data encompassing access to over a billion data signals through user-friendly, self-service tools. In this session, learn how simplifying the technology stack and integrating within a Data Intelligence Platform minimizes data egress and scales operations efficiently. We’ll also discuss the adoption of next-generation business intelligence techniques that incorporate embedded analytics, which reduces reliance on IT and accelerates the development process. Learn how these innovations provide the operational flexibility and data democratization necessary for rapid organizational growth.

SESSION SPEAKERS

Shane Pearson

/SVP, Product
Leadspace

Neil Coleman

/Solution Architect
Sigma Computing