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Built on Databricks

Turn your data into a revenue stream

Your Databricks investment has modernised the business, and now it should grow it. Advancing Analytics helps executive teams turn their data, expertise and IP into scalable products that open new revenue streams.

Databricks Brickbuilder Gold Partner

Databricks Gold Partner · Specialists in Financial Services, Insurance, Healthcare & Life Sciences, and Media & Entertainment

A foundation of data bricks with a product built on top and revenue rising from it: find the revenue, build the product, scale the business.
 

The challenge

Platforms don’t make money. Products do.

Most organisations have modernised their data estate, but few have turned it into a source of growth.

While most organisations are still optimising, their competitors are productising, and as AI reshapes how products are discovered, bought and used, the first movers in each market will set the price.

Three signs you’re stuck at “platform”

01

Your data strategy is reported to the board in savings rather than revenue.

02

Proprietary data, models and domain expertise that competitors would pay for are used only internally.

03

AI initiatives impress in pilot but never reach the P&L, because no one owns the product, the customer or the commercial model.

 

Why Advancing Analytics on Databricks

The platform is the foundation. We build what stands on it.

Many partners can implement Databricks, but few can help you build a growth business on it.

Why built on Databricks

Databricks unifies data, analytics and AI with the security, governance and scale a commercial product demands, while its marketplace and sharing capabilities shorten the path from data asset to paying customer.

Why Advancing Analytics

Databricks Gold Partner: deep platform expertise, so products are built right the first time and scale without costly rework.

Sector depth: Financial Services, Insurance, Healthcare & Life Sciences, and Media & Entertainment, where proprietary data is a genuine competitive advantage.

Customer story · US fintech, core banking

From internal data to a product customers pay for

Premium tier

Net-new revenue from the existing customer base

Deeper retention

The software became the primary analytical engine

In the workflow

Conversational AI inside the product

Other partners make your platform better. We make your platform pay.

Talk to a data monetisation specialist
 

How it works

From cost centre to revenue engine

Databricks provides the foundation; Advancing Analytics helps you build a growth business on top of it.

01

Find the revenue

Identify which data assets, insights and capabilities have commercial value, and which customers will pay for them.

02

Build the product

Turn those assets into secure, scalable data and AI products designed for customers rather than internal reporting.

03

Scale the business

Launch, price and grow with a commercial model that compounds as adoption increases.

Days
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Our Itinerary

Thursday 24th September

9am-5:30pm

BDL Day 2 - we'll be on the booth all day as usual.

10:30-10:50am

Head over to the Databricks booth M80 for our lightning talk: Getting the most out of Genie Ontology.

Simon Whiteley & Terry McCann

11:20-11:50am

Session: Platforms Don't Make Money. Products Do. The Missing Link in Data Monetisation

Ust Oldfield | Keynote X Theatre

2-2:30pm

Panel: The Data Engineering Talent Gap: Building Teams for the AI Era

Teams & Culture Theatre | Powered by Women in Data® 

Featuring Dr Gavita Regunath, CAIO

2-3:30pm

Our executive workshop - From Data Asset to Data Product: Built On Databricks 

Hosted by Ust Oldfield (Field CDO) and Simon Whiteley (CTO) from Advancing, alongside Panos Athanasiou (Chief Field Technologist) from Databricks.

The Henley Suite @ Olympia London.

Registration required.

4-4:30pm

Session: Room 404 - Hype not Found

Simon Whiteley, Joe Reis & Holly Smith

Keynote X Theatre

 

5:30pm

Head home, having done 20,000 steps each day. Time for a cuppa.

Turn Your Data
Into a Revenue Stream

Turning Data into a Revenue Stream whitepaper cover

You can only cut a cost once. This whitepaper covers the other side: turning data you hold into real revenue on Databricks. Six ways to package it. What to sell, what to keep. And what changes when your buyer is an AI agent, not a person on a dashboard.

 

Not ready to talk yet?
Start with these.

Turning Data into a Revenue Stream: Built On Databricks, the strategic guide

Whitepaper

Turning Data into a Revenue Stream: Built On Databricks

A strategic guide by Ust Oldfield, Field Chief Data Officer, Advancing Analytics.

On-demand webinar: Platforms don’t make money. Products do. The missing link in data monetisation, with Ust OldfieldOn demand

On-demand webinar

Platforms don’t make money. Products do.

The missing link in data monetisation: Ust Oldfield on why platform investment rarely becomes revenue, and how to close the gap.

 

The questions every data leader
asks first

 
“We’re not a product company. Is this really for us?”

Most of our clients weren’t either. If you hold proprietary data, domain expertise or analytics your customers already rely on, you have the raw material, and we bring the product and commercial capability needed to package it.

“Is our data even sellable?”

[Answer to come]

“How long until we see revenue?”

[Answer to come]

“What happens in a data monetisation session?”

[Answer to come]

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