Finance & Accounting

Business Intelligence & Analytics for Finance Professionals

This course equips finance professionals with essential business intelligence and analytics skills. Participants will learn to leverage data for informed decision-making, enhance financial reporting, and apply analytical techniques to drive strategic insights within their organisations.

5 days Classroom or live online English

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Download the full standard outline: why attend, methodology, objectives, audience, competencies, the daily outline and current plans.

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Why attend

From knowledge to real-world impact.

Finance professionals often face challenges in interpreting vast amounts of data to inform strategic decisions. The ability to analyse and present data effectively is crucial for enhancing financial performance and operational efficiency. This course addresses the need for finance professionals to develop skills in business intelligence and analytics, enabling them to transform raw data into actionable insights. Participants will learn how to identify key trends, assess financial health, and make data-driven recommendations that align with organisational goals. Mastering these skills will empower finance professionals to improve their decision-making capabilities, ultimately leading to better financial outcomes and strategic alignment within their organisations.

Engaging in practical exercises, participants will simulate real-world scenarios, such as developing financial dashboards and conducting variance analysis. They will learn to apply analytical techniques to evaluate investment opportunities and assess risk management strategies. By mastering these skills, participants will improve their ability to present data-driven recommendations to stakeholders, ensuring that financial strategies are informed by accurate insights. This course empowers finance professionals to harness the power of data analytics, fostering a culture of informed decision-making that can lead to enhanced financial performance, operational efficiencies, and strategic planning.

Workplace challenges

Professional Problems This Course Is Designed to Solve

The programme explores practical approaches to the following challenges. Results depend on how the learning is applied in your organisation.

Difficulty translating subject knowledge into practical workplace decisions.
Inconsistent approaches to the activities covered in the course outline.
Lack of a structured plan for applying and reviewing new skills.

Course methodology

How you will learn.

The course employs a blend of interactive workshops, case studies, and hands-on exercises to build practical skills in business intelligence and analytics. Participants will work with financial datasets to create dashboards, perform trend analyses, and generate reports. Specific exercises will include scenario-based learning, where participants will analyse case studies to identify best practices in financial reporting. Outputs will include visual data representations and analytical reports, demonstrating their ability to apply learned techniques to real-world financial scenarios. This approach ensures that participants not only understand theoretical concepts but also gain the practical experience necessary to implement these skills in their roles.

Course objectives

What you'll take away.

By the end of this course, participants will be able to:

Analyse financial data trends to support strategic decision-making in finance.
Construct interactive dashboards using business intelligence tools for effective financial reporting.
Evaluate the impact of various financial metrics on business performance and decision-making.
Design predictive models to forecast financial outcomes based on historical data analysis.
Compare different analytical techniques for financial data interpretation and reporting.
Assess the effectiveness of data visualisation methods in communicating financial insights to stakeholders.
Implement a business intelligence strategy tailored to financial operations and reporting needs.
Critique the integration of BI tools with existing financial systems to enhance data-driven decisions.

Target audience

Who should attend.

This course is suitable for:

Financial Analysts - to enhance their data analysis capabilities and reporting accuracy.
Accountants - to improve financial reporting efficiency and data interpretation skills.
Finance Managers - to support strategic planning with data-driven insights and analytics.
Investment Analysts - to evaluate investment opportunities using advanced analytical techniques.

Target competencies

Capabilities you will build.

Participants will develop competencies in:

Data interpretation for financial decision-making and reporting.
Dashboard creation using business intelligence software for visual insights.
Predictive modelling for financial forecasting and scenario analysis.
Effective communication of financial insights through data visualisation techniques.
Analytical thinking for problem-solving in finance-related challenges.
Application of statistical techniques in financial analysis and reporting.

Course outline

Your learning journey.

A focused, practical outline with time to explore, apply and reflect.

Day 1Foundations of Business Intelligence

Applied activity: Participants will evaluate a provided financial dataset for quality and relevance, identifying potential issues and proposing solutions for data cleansing. They will also define KPIs for a fictional financial report, considering their impact on business performance.

Output: A report detailing data quality issues and a KPI definition document for financial metrics.

09:00–09:54Introduction to Business Intelligence concepts and frameworks relevant to finance.
09:54–10:48Understanding data sources, data quality, and their implications for financial analysis.
10:48–11:00Identifying key performance indicators (KPIs) relevant to financial reporting and decision-making.
11:00–11:30Coffee break
11:30–12:12Identifying key performance indicators (KPIs) relevant to financial reporting and decision-making. (continued)
12:12–13:06Overview of business intelligence tools and technologies applicable in finance.
13:06–14:00Data governance, compliance, and ethical considerations in financial contexts.

Day 2Data Visualisation Techniques

Applied activity: Using a provided financial dataset, participants will create a series of visualisations that highlight key trends and insights, preparing to present their findings to a mock board. They will receive feedback on their presentation style and data interpretation.

Output: A presentation deck with visualisations and accompanying notes for stakeholder engagement.

09:00–09:54Principles of effective data visualisation in financial contexts and reporting.
09:54–10:48Exploring visualisation tools and software for presenting financial data.
10:48–11:00Creating charts and graphs that convey complex financial information clearly and accurately.
11:00–11:30Coffee break
11:30–12:12Creating charts and graphs that convey complex financial information clearly and accurately. (continued)
12:12–13:06Best practices for presenting financial data to stakeholders and decision-makers.
13:06–14:00Case studies on successful financial data visualisations and their impact on business outcomes.

Day 3Advanced Analytical Techniques

Applied activity: Participants will apply regression analysis to a financial dataset to forecast future performance, comparing their findings with historical data to validate their model. They will present their analysis to peers for critique and discussion.

Output: A comprehensive analytical report with forecasts, justifications, and peer feedback.

09:00–09:54Introduction to statistical analysis methods applicable in finance.
09:54–10:48Using regression analysis for financial forecasting and performance evaluation.
10:48–11:00Time series analysis for identifying trends and seasonality in financial data.
11:00–11:30Coffee break
11:30–12:12Time series analysis for identifying trends and seasonality in financial data. (continued)
12:12–13:06Scenario analysis and sensitivity testing in financial models for risk assessment.
13:06–14:00Integrating qualitative data into quantitative analysis for comprehensive insights.

Day 4Implementing Business Intelligence Solutions

Applied activity: In groups, participants will develop a project plan for implementing a BI solution in a fictional finance department, addressing potential challenges, user training needs, and expected outcomes. They will present their plans to the class.

Output: A project plan document outlining steps, timelines, training strategies, and expected benefits of the BI implementation.

09:00–09:54Steps to implement a business intelligence strategy in finance departments.
09:54–10:48Challenges and considerations in BI project management and execution.
10:48–11:00Integrating BI tools with existing financial systems for seamless data flow.
11:00–11:30Coffee break
11:30–12:12Integrating BI tools with existing financial systems for seamless data flow. (continued)
12:12–13:06User training and adoption strategies for BI solutions in finance.
13:06–14:00Evaluating the success of BI implementations in finance and identifying areas for improvement.

Day 5Capstone Project: Financial Analytics Integration

Applied activity: Participants will undertake a capstone project where they analyse a fictional company's financial data, create a BI dashboard, and present their findings and recommendations to a panel of peers and instructors. This will involve integrating all skills learned throughout the course.

Output: A final project presentation and a BI dashboard demonstrating analytical insights and recommendations.

09:00–09:54Bringing together BI and analytics skills in finance for comprehensive analysis.
09:54–10:48Developing a comprehensive financial analysis project using learned techniques.
10:48–11:00Presenting analytical findings to stakeholders in a professional format.
11:00–11:30Coffee break
11:30–12:12Presenting analytical findings to stakeholders in a professional format. (continued)
12:12–13:06Feedback and iterative improvement in financial reporting and decision-making.
13:06–14:00Future trends in business intelligence and finance analytics.

The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.

Dates & venues

Find a session that works for you.

Confirmed dates accept registration requests. Tentative dates are enquiry only.

Good to know

A few things to know.

How is the course delivered?

Our classroom programmes combine facilitated discussion, case studies, exercises and reflection. The precise format will be confirmed before enrolment.

Can you deliver this programme for our team?

Yes, you can enquire about a tailored programme. Share your goals, group size and preferred dates with our learning team.

Will I receive a certificate?

Participants who complete the programme receive a Smart Horizon UK certificate of attendance. Smart Horizon UK programmes are not externally accredited and do not award a professional qualification, licence or designation. Where a course title or outline refers to a professional certification (for example, AACE International's Certified Cost Professional), the programme supports learning and preparation only; the credential itself is awarded solely by the relevant professional body under its own application and examination requirements.

What should I confirm before booking travel?

Please confirm the session, exact venue, accessibility arrangements, fees and any visa requirements with the team before arranging travel. Tentative dates are not confirmed sessions.

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