Big Data LDN exhibition banner

Exhibitor lead generation

Big Data LDN

· Olympia London · United Kingdom

Technology & AI · Laboratory & Diagnostics

Big Data LDN representation at Olympia London

Big Data LDN runs 23-24 September 2026 at Olympia London. It is the UK's leading conference and exhibition for data, analytics and artificial intelligence. The show draws data professionals, engineers, analysts and decision-makers looking for tools, platforms and services to drive their data strategies. Exhibitors range from Snowflake, Databricks and Google Cloud to emerging innovators. With over 400 seminars running alongside the exhibition floor, the event attracts a large, engaged audience. An Event BDR on your stand ensures you capture and qualify that footfall while your technical team delivers demos and closes conversations.

Who exhibits and who attends

The exhibition floor at Big Data LDN features cloud platforms, analytics software, AI tooling, data governance solutions, and consultancies serving the data and AI sectors. Visitors include data engineers, chief data officers, analytics leads, machine learning practitioners, IT directors and business intelligence managers. They come to evaluate new platforms, compare vendors, attend seminars, and solve specific technical or strategic challenges. The audience is technical and senior, which means stand conversations move quickly from interest to qualification.

What representation at Big Data LDN looks like

An Event BDR works your stand across both show days, from doors open at 09:00 until close at 18:00 on Wednesday and 17:30 on Thursday. They greet visitors, ask qualifying questions, capture contact details and technical requirements, and book follow-up meetings for your sales team. When your technical staff are deep in a product demo or a senior conversation, the BDR keeps the stand covered, ensures no qualified visitor walks past, and maintains a pipeline of scheduled meetings. At a show with 400+ seminars pulling people off the floor, consistent stand presence matters.

Why covering the Big Data LDN floor is hard

Olympia London is a large venue and Big Data LDN fills it with exhibitors and a high volume of attendees moving between stands, seminar theatres and the AI Layer conference track. The show runs two full days with long hours: nine hours on Wednesday, eight and a half on Thursday. Visitors often arrive with a seminar schedule and limited time on the floor, so engagement windows are short. Your technical team cannot be in two places at once, and a stand left unattended loses opportunities. Competing exhibitors include major cloud and analytics brands, so every conversation counts. A dedicated BDR ensures your stand is always staffed, every visitor is acknowledged, and qualified leads are captured and moved into your pipeline without gaps.

How Event BDR works at this show

You book representation for Big Data LDN through the Event BDR marketplace. You specify your stand size, your ideal visitor profile, and how many reps you need across the two days. Event BDR matches you with trained business-development reps who understand data and AI buyers. Your rep arrives briefed on your product, your qualifying questions, and your meeting goals. They work the floor, log leads in real time, and hand warm introductions to your team when a conversation is ready to move forward. You pay for the days you need and the meetings you book, with no long-term contracts or hiring overhead.

Big Data LDN at a glance

  • Dates:
  • Venue: Olympia London, United Kingdom
  • Official site: bigdataldn.com

What Event BDR does at Big Data LDN

We put checked, trained sales reps inside the exhibition for you. They cover the halls your own stand team cannot reach, check each visitor against the list you gave us, and either bring the right people to your stand or hand you a written record of who they were and what they are buying.

  • Reps are interviewed and approved before they are bookable. There is no open signup.
  • You tell them about your product and who you want to meet before the doors open.
  • Leads and meetings land in a live feed during the show, with a recap at the end of each day.
  • You pay for results: leads and meetings delivered, not hours spent standing at a stand.

Big Data LDN exhibitor questions

What are the build-up and breakdown times at Olympia London for Big Data LDN?

Build-up and breakdown schedules are set by the show organiser and communicated in the exhibitor manual once you have booked your stand. Olympia London typically allows access the day before the show opens, but exact times depend on your stand location and size. Check your exhibitor portal or contact the Big Data LDN team directly for your specific timings.

How many staff do I need to cover a stand at Big Data LDN across both days?

For a small stand, two people can manage if they stagger breaks, but one person alone across nine hours on Wednesday and eight and a half on Thursday will struggle. A medium or large stand benefits from three or more, especially when technical demos run long or senior conversations need dedicated time. An Event BDR adds consistent coverage so your core team can focus on closing without leaving the stand unattended.

Where do exhibitors collect badges and passes at Olympia London?

Exhibitor badge collection is usually at a dedicated desk near the exhibitor entrance. Big Data LDN uses both the Olympia Grand entrance and the Olympia National entrance on Hammersmith Road. Your exhibitor manual will confirm which entrance to use and where to pick up your passes. Arrive early on build-up day to avoid queues.

What are the stand dressing and branding rules at Big Data LDN?

Olympia London and the show organiser publish specific rules on stand height, lighting, hanging signs, and floor coverings in the exhibitor manual. You must also follow health and safety regulations for electrical installations and structural elements. If you are using a stand builder, they will know the venue rules. Review the manual carefully to avoid last-minute changes or additional costs.

Do I need staff who speak languages other than English at Big Data LDN?

Big Data LDN is a UK event and the vast majority of attendees speak English. The conference programme, signage, and exhibitor interactions are in English. Unless you are targeting a specific non-English-speaking segment, English-speaking staff will cover your needs. If you serve international clients who attend, consider their language requirements, but it is not a general expectation on this floor.

How do I get leads captured by an Event BDR into my CRM after Big Data LDN?

Event BDR reps log contact details, qualifying notes, and meeting outcomes in real time during the show. At the end of each day or after the event closes, you receive a structured lead file that can be imported into your CRM or sales system. The format is agreed before the show starts, so your follow-up process runs smoothly without manual re-entry.

Can an Event BDR book meetings during Big Data LDN or only capture leads?

An Event BDR can do both. They qualify visitors on the spot, capture contact details and requirements, and book follow-up meetings in your calendar if the visitor is ready to schedule. For high-intent prospects, they can also hand the conversation directly to a member of your team on the stand. The goal is to move qualified leads into your pipeline, whether that means a booked meeting or a warm handoff.

What happens if my Event BDR is sick or cannot attend Big Data LDN?

Event BDR provides trained reps and has contingency cover in place. If your assigned rep cannot attend, a replacement with the same briefing and skill level is arranged. You are notified as soon as possible, and the replacement rep receives your product brief and qualifying criteria before the show opens. Your stand coverage is protected.

Book reps for Big Data LDN

Tell us your stand, your sectors and what a qualified lead looks like to you. We will come back with a plan for the show: reps, coverage and what it costs.

Book reps for Big Data LDN

Bigger stand, or an unusual brief? Talk to us first