Prosperas Skills Center

  • info@prosperasskillscenter.com
  • Nairobi, Kenya
  • +254 729 449 222
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Training Course on Business Intelligence for Decision Makers

Training Course on Business Intelligence for Decision Makers

Duration: 5 Days

Location: Nairobi

Course Overview:
This course is designed to empower decision-makers with the knowledge and tools needed to leverage Business Intelligence (BI) for enhanced strategic and operational decisions. It explores BI concepts, platforms, data interpretation, and visualization techniques to support performance monitoring, opportunity identification, and trend analysis.
Participants will learn how to translate raw data into strategic insights, assess BI solutions for their organizations, and apply BI tools to everyday business challenges. The course demystifies data and gives non-technical professionals the confidence to make data-informed decisions that improve outcomes.
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Course Objectives:
By the end of the course, participants will be able to:
•Understand the fundamentals and value of Business Intelligence.
•Identify data sources and structure BI workflows.
•Evaluate and select BI tools suitable for their needs.
•Interpret and visualize key performance data.
•Integrate BI into decision-making processes.
•Communicate findings effectively using dashboards and reports.
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Target Audience:
Executives, department heads, strategy officers, operations managers, and any professionals who rely on data for planning and decision-making across sectors.
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Training Methodology:
•Interactive demonstrations of BI tools
•Real-world case studies and use cases
•Data visualization labs and exercises
•Group analytics simulations and report building
•Strategy alignment and action planning
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Expected Outcomes:
Participants will leave the course with practical skills to use BI tools effectively, generate performance insights, and drive organizational impact through informed decision-making.

Detailed Course Modules / KEY TOPICS:
Foundations of Business Intelligence
•Overview and evolution of BI
•BI vs. data analytics vs. data science
•Types and structures of business data
•BI success stories in various sectors
BI Tools and Technologies
•Introduction to BI platforms (e.g., Power BI, Tableau, Qlik)
•Data sourcing and ETL processes
•Dashboard creation and visualization best practices
Data Interpretation and Decision-Making
•Key performance indicators (KPIs) and metrics
•Data storytelling and visual communication
•Real-time vs. historical data insights
•Group Exercise: Building a performance dashboard
Integrating BI with Business Strategy
•Using BI for strategic planning and forecasting
•Aligning BI with organizational goals and processes
•Case study: BI-driven decision cycle
BI Governance and Change Management
•Data governance and data quality
•Building a data-driven culture
•Change leadership and BI adoption strategies
•Capstone: Designing a BI roadmap for your organization

Course General Information:
This course is delivered by qualified and experienced trainers with extensive expertise in their respective fields. Our training approach combines interactive theory sessions, hands-on practical activities, group work, and case studies, ensuring a dynamic and impactful learning experience.

Training Location: The sessions will be held at PROSPERAS SKILLS CENTER, Nairobi, Kenya. We also offer tailor-made group training at client-requested locations upon prior arrangement.

Certification: Upon successfully completing the training, participants will be awarded a certificate from PROSPERAS SKILLS CENTER.

Fees and Inclusions: Covers tuition, training materials, lunch, and venue. Accommodation and airport transfers can be arranged upon request.

Payment Details: Payment must be made to our bank account prior to the commencement of training. Please forward proof of payment to: trainings@prosperasskillscenter.com

For Further Inquiries: Contact us via email: trainings@prosperasskillscenter.com

Business Intelligence for Decision Makers

Start DateEnd DateOnline Fee (USD)In-Person Fee (USD)Register
17 Nov, 202521 Nov, 202510001500Enroll
24 Nov, 202528 Nov, 202510001500Enroll
01 Dec, 202505 Dec, 202510001500Enroll
15 Dec, 202519 Dec, 202510001500Enroll
05 Jan, 202609 Jan, 202610001500Enroll
12 Jan, 202616 Jan, 202610001500Enroll
19 Jan, 202623 Jan, 202610001500Enroll
26 Jan, 202630 Jan, 202610001500Enroll
02 Feb, 202606 Feb, 202610001500Enroll
09 Feb, 202613 Feb, 202610001500Enroll
23 Feb, 202627 Feb, 202610001500Enroll
23 Feb, 202627 Feb, 202610001500Enroll
02 Mar, 202606 Mar, 202610001500Enroll
09 Mar, 202613 Mar, 202610001500Enroll
23 Mar, 202627 Mar, 202610001500Enroll
13 Apr, 202617 Apr, 202610001500Enroll
20 Apr, 202624 Apr, 202610001500Enroll
04 May, 202608 May, 202610001500Enroll
11 May, 202615 May, 202610001500Enroll
18 May, 202622 May, 202610001500Enroll
08 Jun, 202612 Jun, 202610001500Enroll
15 Jun, 202619 Jun, 202610001500Enroll
22 Jun, 202626 Jun, 202610001500Enroll
29 Jun, 202603 Jul, 202610001500Enroll
06 Jul, 202610 Jul, 202610001500Enroll
13 Jul, 202617 Jul, 202610001500Enroll
20 Jul, 202624 Jul, 202610001500Enroll
27 Jul, 202631 Jul, 202610001500Enroll
03 Aug, 202607 Aug, 202610001500Enroll
10 Aug, 202614 Aug, 202610001500Enroll
17 Aug, 202621 Aug, 202610001500Enroll
31 Aug, 202604 Sep, 202610001500Enroll
07 Sep, 202611 Sep, 202610001500Enroll
14 Sep, 202618 Sep, 202610001500Enroll
21 Sep, 202625 Sep, 202610001500Enroll
28 Sep, 202602 Oct, 202610001500Enroll
12 Oct, 202616 Oct, 202610001500Enroll
26 Oct, 202630 Oct, 202610001500Enroll
02 Nov, 202606 Nov, 202610001500Enroll
09 Nov, 202613 Nov, 202610001500Enroll
16 Nov, 202620 Nov, 202610001500Enroll
23 Nov, 202627 Nov, 202610001500Enroll
30 Nov, 202604 Dec, 202610001500Enroll
07 Dec, 202611 Dec, 202610001500Enroll
14 Dec, 202618 Dec, 202610001500Enroll

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