Business Analytics

Organizations across Nigeria are sitting on large volumes of data from sales, finance, operations, and customer interactions. Turning that data into actionable insight is a key source of competitive advantage.

This programme equips managers and analyst with the concepts, tools, and techniques needed to collect, analyse, and visualize data, enabling data-driven decision-making at every level of the business.

• Foundations of Business Analytics types of analytics, the analytics lifecycle, and the role of data in strategy.
• Data Preparation gathering data from ERP, CRM and flat files; cleaning, transforming and structuring data for analysis.
• Descriptive Analytics summarising data with pivot tables, charts and key metrics; building a performance dashboard.
• Diagnostic Analytics drilling down into variances, root-cause analysis and creating interactive visualizations.
• Predictive Analytics Basics simple linear regression, moving-average forecasting, and interpreting model output.
• Storytelling with Data structuring presentations, choosing the right visual, and delivering insights that drive action.
• Analytics Governance data-quality standards, access controls, and embedding analytics into daily processes

• Business managers who need to interpret reports and make decisions based on data.
• Analysts, planners, and data-support sta ffwho create reports for other departments.
• Team leaders responsible for performance monitoring and continuous improvement.
• Anyone seeking to move from intuition-based decisions to data-centric approach.

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

• Explain the core concepts of descriptive, diagnostic, predictive and prescriptive analytics.
• Use Microsoft BI (or a comparable tool) to build interactive dashboards that track key performance indicators.
• Apply basic statistical methods and excel functions to clean, summarise and interpret data.
• Design and execute simple predictive models (e.g regression, time-series) to forecast demand or identify risk.
• Communicate analytical findings clearly to senior leadership and influence strategic actions.
• Establish a governance framework to ensure data quality, security and ongoing analysis

• Participants will be able to turn raw data into visual, actionable insights without relying on external specialist.
• Faster, more accurate decision-making leads to improved profitability and cost control.
• Interactive dashboards enable continuous performance monitoring across functions.
• Basic predictive models help anticipate demand fluctuations, inventory needs and risk factors.
• A governance framework ensures data reliability and compliance with internal security policies.

DATE:

CGFL06,Ground Floor Cancer Block, Eleganza Building 1, Commercial Road, Apapa Lagos.