Selecting and Rolling Out a Business Intelligence Tool
Organisations buy a reporting tool and then discover that the licences, the data model and the people were the hard parts. This course covers choosing and landing a tool that people actually use.
Course outline
What this programme covers, module by module.
- 01The licences, the data model and the people
- 02Requirements first, product evaluation second
- 03Evaluating against your own data rather than a demo dataset
- 04Licensing models, hosting, and what the total cost really is
- 05Rollout sequencing and starting with reports people need
- 06Governance, certified reports and preventing sprawl
- 07Training, support and growing adoption after go live
What you will gain
- Set requirements before looking at any product
- Evaluate tools against your data reality, not a demo
- Understand licensing, hosting and total cost
- Plan a rollout that starts with real reports
- Build the governance that stops report sprawl
- Support and grow adoption after go live
Who should attend
- Analytics and business intelligence leads
- IT managers and architects
- Finance and operations managers sponsoring a tool
- Procurement staff buying analytics software
Upcoming sessions
| Date | City | Duration | Fees | Book |
|---|---|---|---|---|
| 26 to 27 Oct 2026 | Pretoria | 2 Days | R10,000 | |
| 16 to 17 Nov 2026 | Durban | 2 Days | R10,000 | |
| 30 Nov to 1 Dec 2026 | Cape Town | 2 Days | R10,000 | |
| 11 to 12 Jan 2027 | Johannesburg | 2 Days | R10,000 | |
| 2 to 3 Feb 2027 | London | 2 Days | US$1,100 | |
| 12 to 13 Apr 2027 | Dubai | 2 Days | US$1,100 | |
| 14 to 15 Jun 2027 | Pretoria | 2 Days | R10,000 |
Fees are per delegate and exclude VAT. Public intakes are confirmed once minimum numbers are met. We also deliver this course on your own schedule, in-house or live online.
Enquire about this course
Register your team or ask for a tailored in-house quote. We reply within one working day.
WhatsApp usCourse brochure (PDF)- Fees from
- R10,000 per delegate
- Duration
- 2 Days
- Field
- Data & Analytics
- Formats
- In-house, public, online
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