Data Procurement and Technology Vendor Evaluation Training Course

Course Introduction

Data procurement and technology vendor evaluation are increasingly important organizational capabilities as institutions depend on external providers for datasets, software platforms, cloud services, analytics solutions, artificial intelligence technologies, infrastructure, cybersecurity products, and specialized technical services. Effective procurement requires more than comparing prices; it involves understanding business requirements, technical specifications, data quality, supplier capabilities, contractual obligations, security risks, compliance requirements, and long-term operational value.

This training course provides a comprehensive framework for planning, evaluating, selecting, contracting, and managing data and technology vendors. Participants will learn how to translate organizational needs into clear procurement requirements, develop evaluation criteria, assess supplier proposals, conduct structured technical and commercial evaluations, and identify risks that may affect implementation, service continuity, data protection, scalability, and overall value realization.

The course examines the complete vendor evaluation lifecycle, from procurement strategy and requirements definition through market research, request-for-information processes, requests for proposals, demonstrations, proof-of-concept exercises, due diligence, scoring, negotiation, contracting, onboarding, performance monitoring, and supplier relationship management. Participants will explore practical methods for making procurement decisions that are transparent, evidence-based, measurable, and aligned with organizational objectives.

Particular attention is given to data-related procurement considerations, including data provenance, accuracy, completeness, timeliness, licensing, interoperability, metadata, ownership, privacy, ethical use, retention, and permitted downstream applications. The course also addresses technology-specific considerations such as application architecture, APIs, integration capabilities, cloud environments, cybersecurity controls, artificial intelligence functionality, technical support, service-level agreements, business continuity, and vendor dependency.

Participants will also develop practical skills for evaluating competing vendors using weighted scoring models, total cost of ownership analysis, risk assessment frameworks, technical demonstrations, reference checks, financial evaluation, and scenario-based testing. These approaches help procurement, technology, data, finance, legal, and business teams collaborate effectively while reducing the possibility of selecting solutions that appear attractive during procurement but create operational or strategic challenges later.

By the end of the course, participants will be better prepared to design robust procurement processes, critically assess technology and data suppliers, document defensible evaluation decisions, negotiate appropriate commercial and technical terms, and establish measurable vendor-performance arrangements. The course also explores emerging issues including AI vendor evaluation, algorithmic transparency, cloud concentration risk, data sovereignty, cybersecurity supply-chain risks, sustainable technology procurement, and intelligent procurement automation.

Duration

10 days

Who Should Attend

• Procurement professionals responsible for sourcing data, software, technology platforms, digital services, and technical solutions.

• Data managers and data governance professionals involved in acquiring external datasets and information services.

• IT managers and technology specialists participating in technical vendor assessments and solution selection.

• Information systems professionals responsible for evaluating enterprise applications and technology infrastructure.

• Data analysts and business intelligence professionals who contribute to data-source and analytics-platform selection.

• Project and programme managers responsible for technology procurement and supplier implementation.

• Contract and commercial managers involved in technology and data supplier agreements.

• Finance professionals responsible for evaluating technology costs, budgets, and total cost of ownership.

• Legal and compliance professionals supporting technology procurement and contractual risk management.

• Information security professionals assessing cybersecurity controls and technology supply-chain risks.

• Enterprise architects evaluating vendor solutions against organizational architecture standards.

• Data scientists and AI professionals assessing machine learning, artificial intelligence, and analytics vendors.

• Business leaders involved in technology investment decisions and strategic supplier selection.

• Vendor and supplier relationship managers responsible for ongoing supplier performance.

• Internal auditors and risk professionals reviewing procurement controls and supplier risks.

• Consultants supporting digital transformation, data strategy, procurement, and technology implementation.

• Public-sector professionals involved in technology, data, and digital procurement processes.

• Organizations seeking to strengthen evidence-based, transparent, and value-focused technology procurement.

Course Objectives

• Develop a structured understanding of data and technology procurement principles, processes, governance requirements, and strategic sourcing considerations.

• Translate business, operational, analytical, and technical needs into clear and measurable procurement requirements and vendor evaluation criteria.

• Design comprehensive requests for information, requests for proposals, statements of work, and technical specifications for technology suppliers.

• Establish weighted evaluation frameworks that balance technical capability, business value, cost, risk, security, scalability, and supplier performance.

• Assess data vendors based on data quality, provenance, licensing, completeness, timeliness, interoperability, privacy, and intended business use.

• Evaluate software and technology platforms according to architecture, functionality, integration, usability, scalability, support, security, and operational requirements.

• Apply total cost of ownership and lifecycle cost analysis to understand the financial implications of competing vendor solutions.

• Conduct structured vendor due diligence covering financial stability, technical capability, references, security posture, compliance, and operational resilience.

• Evaluate artificial intelligence and advanced analytics vendors using criteria covering transparency, model governance, data usage, performance, explainability, and responsible AI.

• Identify and assess procurement risks including vendor lock-in, data sovereignty, cybersecurity exposure, service disruption, hidden costs, and technology obsolescence.

• Develop effective negotiation, contracting, service-level, performance-monitoring, and supplier-management approaches for long-term vendor relationships.

• Apply practical evaluation tools, scoring models, scenario testing, demonstrations, proof-of-concept exercises, and evidence-based decision documentation.

Comprehensive Course Outline

Module 1: Foundations Of Data And Technology Procurement

• Principles, objectives, and strategic importance of data and technology procurement in modern organizations.

• Procurement lifecycle stages from needs identification and sourcing through evaluation, contracting, implementation, and review.

• Roles of procurement, IT, data, finance, legal, security, business, and executive stakeholders in vendor selection.

• Procurement governance, accountability, transparency, documentation, approvals, and evidence-based decision-making.

Module 2: Procurement Strategy And Requirements Definition

• Translating organizational strategies, business problems, and operational needs into procurement requirements.

• Developing functional, technical, data, security, integration, service, and performance requirements.

• Distinguishing essential requirements, desirable capabilities, constraints, assumptions, and evaluation dependencies.

• Building procurement strategies that consider sourcing options, market conditions, implementation timelines, and organizational capacity.

Module 3: Data Procurement And Data Vendor Assessment

• Evaluating external datasets based on accuracy, completeness, consistency, timeliness, relevance, and fitness for purpose.

• Assessing data provenance, lineage, ownership, licensing, usage restrictions, metadata, and downstream application rights.

• Evaluating data formats, delivery mechanisms, APIs, interoperability, refresh frequencies, historical coverage, and integration requirements.

• Identifying risks associated with third-party datasets, data duplication, biased sources, incomplete coverage, and uncertain data origins.

Module 4: Technology Market Research And Vendor Discovery

• Conducting technology market research to identify potential suppliers, solution categories, and emerging alternatives.

• Developing vendor shortlisting criteria based on organizational requirements, capabilities, experience, geographic coverage, and market presence.

• Using requests for information and preliminary market engagement to understand available technologies and supplier capabilities.

• Evaluating vendor ecosystems, implementation partners, technology alliances, product roadmaps, and strategic positioning.

Module 5: Procurement Documents And Solicitation Design

• Designing effective requests for proposals that clearly communicate technical, commercial, operational, and contractual requirements.

• Developing statements of work, technical specifications, evaluation instructions, response templates, and submission requirements.

• Establishing clear requirements for vendor demonstrations, proof-of-concept activities, testing, references, and supporting evidence.

• Designing procurement documentation that promotes comparable responses, transparency, consistency, and objective evaluation.

Module 6: Vendor Evaluation Frameworks And Scoring Models

• Developing weighted scoring models for comparing technical, functional, financial, security, and organizational vendor capabilities.

• Establishing evaluation criteria, scoring scales, evidence requirements, thresholds, mandatory conditions, and evaluator responsibilities.

• Applying multi-criteria decision analysis to balance competing requirements and organizational priorities.

• Documenting evaluation decisions, assumptions, evaluator comments, scoring evidence, conflicts of interest, and review procedures.

Module 7: Technical And Functional Vendor Evaluation

• Assessing application functionality, architecture, performance, usability, configurability, extensibility, and technical compatibility.

• Evaluating APIs, integration capabilities, data exchange mechanisms, interoperability standards, and enterprise system compatibility.

• Conducting technical demonstrations, scenario-based assessments, sandbox testing, and proof-of-concept evaluations.

• Comparing vendor product roadmaps, release strategies, technical documentation, support models, and technology maturity.

Module 8: Cybersecurity, Privacy And Technology Risk Assessment

• Evaluating vendor cybersecurity controls, security architecture, identity management, encryption, monitoring, and incident response capabilities.

• Assessing privacy practices, data processing arrangements, retention policies, access controls, and regulatory compliance requirements.

• Identifying third-party risks involving supply-chain vulnerabilities, subcontractors, cloud dependencies, and external service providers.

• Developing vendor risk assessments covering likelihood, impact, control effectiveness, remediation requirements, and residual risk.

Module 9: Financial Evaluation And Total Cost Of Ownership

• Comparing vendor pricing models including subscriptions, licenses, usage-based pricing, implementation fees, support costs, and professional services.

• Calculating total cost of ownership across acquisition, implementation, integration, operations, maintenance, upgrades, and retirement.

• Evaluating cost assumptions, pricing escalators, volume discounts, renewal conditions, minimum commitments, and hidden charges.

• Developing financial comparison models that connect procurement expenditure with expected operational, analytical, and business value.

Module 10: Vendor Due Diligence And Supplier Capability Assessment

• Conducting structured due diligence on vendor financial stability, organizational capability, ownership, reputation, and market experience.

• Assessing supplier staffing, technical expertise, implementation capacity, support resources, service locations, and escalation mechanisms.

• Reviewing customer references, case studies, independent assessments, certifications, audit evidence, and previous implementation outcomes.

• Evaluating vendor continuity plans, business resilience, disaster recovery capabilities, succession arrangements, and organizational dependencies.

Module 11: Contracting, Negotiation And Commercial Management

• Preparing for vendor negotiations involving pricing, scope, responsibilities, implementation milestones, service levels, and performance obligations.

• Developing contractual requirements for data ownership, intellectual property, confidentiality, security, privacy, and permitted data use.

• Establishing service-level agreements covering availability, response times, resolution targets, support, maintenance, and escalation procedures.

• Managing contract variations, renewals, extensions, termination rights, transition assistance, and post-contract data return requirements.

Module 12: Vendor Performance And Supplier Relationship Management

• Establishing vendor performance indicators covering service quality, delivery, responsiveness, reliability, costs, security, and business outcomes.

• Designing supplier scorecards and dashboards for monitoring contractual performance and identifying emerging issues.

• Conducting regular vendor reviews, performance meetings, service assessments, corrective-action planning, and relationship governance.

• Managing underperformance, disputes, service failures, improvement plans, escalation processes, and evidence-based supplier interventions.

Module 13: AI, Analytics And Intelligent Technology Vendor Evaluation

• Evaluating artificial intelligence vendors based on model performance, transparency, explainability, governance, data practices, and operational controls.

• Assessing machine learning and analytics platforms for scalability, reproducibility, integration, monitoring, and lifecycle management.

• Reviewing generative AI solutions for data handling, model limitations, security, intellectual property, human oversight, and responsible use.

• Developing evaluation approaches for automated decision systems, predictive analytics, algorithmic risks, and emerging intelligent technologies.

Module 14: Vendor Governance, Compliance And Responsible Procurement

• Establishing governance structures for procurement decisions, vendor accountability, risk ownership, approvals, and ongoing oversight.

• Integrating regulatory, contractual, ethical, privacy, accessibility, security, and organizational policy requirements into vendor evaluation.

• Addressing responsible procurement considerations including sustainability, social responsibility, accessibility, transparency, and technology ethics.

• Managing procurement records, audit trails, evaluation evidence, conflicts of interest, confidentiality, and defensibility of supplier decisions.

Module 15: Vendor Implementation, Integration And Lifecycle Management

• Planning vendor onboarding, implementation governance, technical integration, data migration, testing, training, and organizational adoption.

• Managing implementation dependencies between vendors, internal teams, legacy systems, cloud platforms, and external service providers.

• Establishing acceptance criteria, deployment checkpoints, operational readiness assessments, and transition-to-support processes.

• Planning technology lifecycle management including upgrades, replacement, renewal, exit strategies, migration, and vendor transition.

Module 16: Emerging Trends And Future Of Data And Technology Procurement

• Evaluating AI-enabled procurement platforms, automated vendor discovery, intelligent proposal analysis, and procurement decision support.

• Assessing emerging risks from cloud concentration, AI supply chains, data sovereignty, geopolitical dependencies, and technology ecosystem disruption.

• Exploring sustainable technology procurement, green IT, responsible AI sourcing, circular technology models, and environmental performance criteria.

• Preparing procurement strategies for rapidly evolving technologies, autonomous systems, advanced analytics, quantum computing, and next-generation digital platforms.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.