CICL Technology & Data training builds practical capability in Excel, Power BI, Python and analytics so that teams can move beyond manual reporting and start using data to shape better decisions.
We support organisations that want more people—not just a small data team—to be comfortable exploring, questioning and using data in their roles.
Analysts and reporting specialists who need stronger skills in Excel, Power BI, data modelling and storytelling with dashboards.
Operations, HR, finance, sales and customer teams who rely on reports but want to move beyond manual spreadsheets and guesswork.
Senior leaders who must interpret dashboards, ask better questions about data and use evidence in strategic and operational decisions.
Data, IT and digital teams who need to improve collaboration with the business, clarify requirements and increase dashboard adoption.
We focus on the real barriers that stop teams from using data—from spreadsheet chaos and siloed reports to unclear dashboards and low confidence with tools.
Important processes run on fragile spreadsheets with complex formulas, manual reconciliations and limited documentation.
Multiple versions of the truth across reports and dashboards, limited adoption and stakeholders who struggle to interpret visuals.
Data stored in several tools, exports and files with little standardisation, naming hygiene or clear ownership.
Teams who underuse Excel, Power BI or analytics tools because they lack practical training tailored to their context and use-cases.
We design technology and data learning around real workflows and decisions—so people practise on the types of questions and reports they handle every day.
Step 1
We review your key reports, systems, tools and roles—alongside a light diagnostic—to understand current data practices and skills.
We design different learning paths—for analysts, functional managers and leaders—with the right depth, tools and exercises for each group.
Learn moreParticipants practise with guided labs in Excel, Power BI or Python, using scenarios similar to actual reporting and analysis tasks.
Explore labsWe run clinics focused on turning raw data into clear visuals, improving existing dashboards and defining standards for layout, labels and commentary.
View clinicsTeams complete guided mini-projects—such as redesigning a key report or building a new dashboard—that deliver visible value back into the organisation.
See outcomesMeasurement
We help you define clear adoption and quality metrics—such as usage of dashboards, reduction in manual work and improved decision turnaround times.
From foundational spreadsheet skills to modern dashboarding and introductory coding, we design a mix of modules that match your tools and data maturity.
Building confidence in formulas, lookups, pivots, data cleaning, structuring tables and avoiding common spreadsheet risks and errors.
Creating data models, building clear visuals, designing user-friendly dashboards and sharing insights securely with stakeholders.
Introducing Python for data analysis—loading, cleaning, transforming and exploring data—at a pace aligned with your technical teams.
Some clients need a focused reset; others require a longer journey. We adjust structure and intensity to your calendar and priorities.
Intensive, lab-style workshops focused on core topics such as Excel proficiency, Power BI dashboards or foundational analytics.
Multi-module academies that progressively develop data skills across teams, with projects and peer learning built in.
Targeted support for key reports, dashboards or teams—combining advisory, design reviews and 1:1 or small-group coaching.
Every engagement leaves you with reusable assets—templates, guides and examples—that help standardise how data is prepared and presented across the organisation.
Templates
Aligned templates that reduce rework and clarify how key metrics should be presented, commented on and shared across teams.
Request sample
Documentation
Practical definitions, naming conventions and report guides that help reduce confusion and create a single language around data.
View outline
Adoption
Simple trackers and feedback mechanisms that help you monitor dashboard usage, collect improvement ideas and sustain momentum.
ExploreWe care less about how many features participants can list, and more about whether they change how they use data to ask questions, solve problems and make decisions.
Adoption
Organisations see higher and more consistent use of dashboards and reports, with fewer ad-hoc manual extracts and offline versions.
AnalyzeCapability
Teams show greater confidence exploring data, questioning assumptions and using evidence in conversations with colleagues and leadership.
View impactDecisions
With clearer reports and stronger data literacy, organisations spend less time debating numbers and more time discussing options and trade-offs.
ExploreClear answers to common questions about CICL Technology & Data programmes.
Yes. For most Technology & Data programmes, participants should have laptops with the required tools (e.g. Excel, Power BI, Python environment) installed before sessions begin.
In many cases, yes. We can adapt content to your stack as long as we understand the tools and have the right access to prepare examples and exercises.
We can run highly practical non-technical tracks for business users, as well as deeper technical tracks for analysts and data teams. We calibrate based on your audience and goals.
Yes. Many clients start with a pilot programme for one function or location, then extend to wider teams once the approach and impact have been validated.
We can design follow-up clinics, office hours or coaching sessions to help teams embed new practices and refine dashboards or reports.
We begin with a discovery conversation to understand your systems, teams and priorities. Based on that, we propose a programme outline, delivery format and investment options.
We recognise that Technology & Data training often involves reference to real or realistic data. Any sample data shared with CICL is treated as confidential and handled in line with your organisation’s data protection policies.
Where possible, we encourage anonymised or synthetic data that reflects your structures without exposing sensitive information. Access to any real data is restricted to authorised CICL consultants working on your engagement.
Training materials, lab files and example datasets are stored securely for the agreed duration of the engagement and follow-up. After this period, they are removed from our active systems unless otherwise agreed in writing.
Our goal is to create a safe environment where people can learn and practise with data, without compromising privacy, confidentiality or security.
Let’s build a Technology & Data programme that helps your teams turn tools and dashboards into everyday, confident use of data.
