Bridging the Gap Between Data Availability and Data Usability
Most organizations have invested heavily in building modern data platforms. The data is governed, the pipelines are running, and the dashboards exist.
Yet, business users still wait. They wait for analysts to pull numbers, for IT to build new reports, and for answers to questions that should be straightforward. The gap between data availability and data usability remains wide and it is rarely a technology problem. It is an adoption problem.
At the Databricks Data + AI Summit 2026, LTM is offering a complimentary 1-week engagement to help organizations close this gap using Databricks Genie — turning curated data into conversational, self-service analytics that business users can actually use.
The Challenge
Organizations that have already invested in Databricks Lakehouse often find that the last mile of data consumption remains unresolved.
Business teams typically face:
- Dependence on analysts and BI teams for even routine questions
- Fragmented reporting across tools, dashboards, and spreadsheets
- Inconsistent KPI definitions and metric interpretations across departments
- Long turnaround times from question to insight, slowing decision cycles
- Low adoption of existing self-service tools despite significant platform investments
As a result:
- Data platforms remain underutilized relative to their potential
- Decision-making stays slow and opinion-driven rather than data-led
- Leadership struggles to justify scaling analytics investments further
Our Approach
The "Your Data in Action" program is a focused, 1-week engagement with LTM’s Genie specialists and domain consultants. It is designed to deliver a working solution and a clear path to scale, not a generic advisory session or a standalone demo.
Over five working days, we work with your team to:
- Select and validate one high-impact use case aligned to business priorities and feasibility
- Assess data readiness, governance maturity, and Databricks platform configuration
- Curate a Genie space with metric views, business context, and semantic enrichment — so answers are trusted and explainable from day one
- Build, validate, and refine a working pilot using real data, real queries, and a structured feedback loop
- Deliver an executive demo and define a phased adoption roadmap covering governance, operating model, and next use cases
What You Will Gain?
Why LTM
Our Databricks Genie implementation engagement is not built on theory. It is backed by LTM’s 70+ existing customers and 25+ pre-built cross-domain solutions spanning areas like price elasticity, revenue at risk, supply chain risk, claims intelligence, customer analytics, ad sales and many more.
Who Should Participate?
This engagement is designed for organizations where Databricks is already part of the data platform, and self-service analytics with enterprise data adoption is a stated priority but adoption has been slow, inconsistent, or has not moved beyond pilot.
Relevant stakeholders include:
- Chief Data Officers and Chief Digital Officers
- Business Domain Leads exploring conversational analytics
- Heads of Data, Analytics, and AI
- Data Platform and Architecture Leaders
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