Data Analytics : Unlocking Power Of Data For Enhanced Business Intelligence

Data Analytics For Smarter Business Decisions

Course Overview

Business Analytics: Unlocking the Power of Data for Enhanced Business Intelligence is a practical training program designed to help professionals translate data into meaningful insights that support smarter business decisions. The program focuses on building a strong understanding of how data, information, and knowledge connect to business strategy and operational performance.

Rather than approaching analytics from a purely technical perspective, the course is tailored for non-technical professionals and decision-makers. Participants explore key analytics concepts, including descriptive, diagnostic, predictive, and prescriptive analytics, and learn how these approaches can be applied to real organisational challenges. The emphasis is on understanding business requirements, interpreting analytical outputs, and aligning insights with strategic objectives.

Through applied discussions, case examples, and guided exercises, participants gain clarity on how business analytics supports strategy evaluation, performance measurement, and continuous improvement. By the end of the program, participants are better equipped to collaborate with data teams, ask the right analytical questions, and use data-driven insights to improve processes and business outcomes.

Our Competitive Edge

Northasia Innotech Sdn Bhd (NAIT) delivers the Data Analytics: Unlocking Power of Data for Enhanced Business Intelligence  program with a structured, hands-on approach that goes beyond theory. Using a practical learning framework, participants gain industry-relevant skills through real-world case studies, interactive discussions, and explorative methods. Designed for non-technical personnels, the program focuses on understanding data analytics, applying analytical frameworks, and aligning business strategies with data-driven insights. Through a combination of business analytics models, strategic evaluation processes, and data-driven decision-making techniques, participants will develop the competencies needed to translate business needs into actionable insights. By the end of the program, organizations will have a clear understanding of analytics applications and their impact on business performance.

Program Snapshot

  • Duration: 1 Day / 8 Hours
  • Level: Beginner
  • Mode: Physical (Public / In-House)
  • Category: Data Analytics
  • Skill Focus Area: Business Analytics & Data Science & Applied Analytics for Non-Technical Professionals
  • Certification Level: Professional Certificate By NAiT
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Program Objectives

PO1

Translate business needs and questions into clear analytical requirements that can be effectively addressed using data.

PO2

Differentiate and apply descriptive, diagnostic, predictive, and prescriptive analytics to support informed business decision-making.

PO3

Interpret data, information, and knowledge to generate insights that are relevant to operational and strategic objectives.

PO4

Apply structured business analytics models to evaluate performance, identify gaps, and recommend corrective actions.

PO5

Align data analytics initiatives with business strategy to ensure analytics outputs support organisational goals.

PO6

Evaluate business performance using data-driven metrics to improve processes and decision outcomes.

PO7

Identify relevant data sources and assess data quality to ensure reliable and meaningful analysis.

Training Program Modules

Session 1: Understanding Data Science: Data, Information & Knowledge
  • Understanding the definition & differences
  • Data is defined as the carrier of information
  • Information is data that is aggregated to a level where it makes sense for decision support in the shape of, for instance, reports, tables, or lists
Session 2: A data driven organisation
  • The 4th Industrial revolution, the 9 pillars of technology
  • Why “Big Data”?
Session 3: Identifying The 4 types of data analytics for your organization
  • The use of Descriptive analytics
  • The use of Diagnostic analytics
  • The use of Predictive and Prescriptive analytics
  • Group discussion: The use of all 4 level of analytics in our organisation
Session 4: The Business Analytics Model
  • The Scope of Business Analytics
  • Strategic Creation
  • Business Processes and Information
  • Deployment of the Business Analytics Model
  • Case study: Analytic model use in industries
Session 5: The Evaluation of Business Strategy
  • What is Strategy Evaluation
  • The Importance of Strategic Evaluation
  • Strategic Evaluation Process
  • Measure Performance
  • Analyse Variances
  • Taking Corrective Action
  • Activity: Group Discussion
Session 6: Business Analytics at the Strategic Level
  • Scenario 1: No Formal Link between Strategy and Business Analytics
  • Scenario 2: Business Analytics Support Strategy
  • Scenario 3: Dialogue between the strategy and Business Analytics
  • Scenario 4: Information as a Strategic Resource
  • Group Discussion: How can scenario 3 & 4 change our organisation?
Session 7: The Company’s Collection of Source Data
  • What Are Source Systems and What Can They Be Used For?
  • Which information is Best Use for Which Task?
  • When Quality of Source Data Fails
  • Group discussion: Identifying data within the organisation