Building Your Digital Business Platform: A Strategic Guide to Technology and Skills

By Lung Sangqu

As organisations across Africa embark on digital transformation journeys, many struggle with where to begin and what capabilities to develop. Gartner’s digital business platform framework provides a practical roadmap, organising digital transformation around five critical technology areas: customers, partners, employees, things, and intelligence. Understanding the key technologies and skills required in each area enables organisations to build their digital capabilities systematically, starting with immediate business needs while creating a foundation for future innovation.

Understanding the Digital Business Platform

Gartner’s framework recognises that digital transformation isn’t about implementing a single technology but rather building an integrated platform that connects all stakeholders and assets. The beauty of this approach lies in its flexibility, organisations don’t need to build everything at once. Instead, they can start with the technologies and capabilities most critical to their initial digital business use cases, then expand strategically over time.

Let’s explore each area, identifying key technologies and the skills required for successful implementation.

1. Customers: Creating Seamless Digital Experiences

Key Technologies

Customer Relationship Management (CRM) Systems: Platforms like Salesforce, Microsoft Dynamics 365, or open-source alternatives like SuiteCRM enable organisations to manage customer interactions, track sales pipelines, and deliver personalised service across channels.

Digital Experience Platforms (DXP): These systems manage content, commerce, and customer interactions across web, mobile, and other digital channels, ensuring consistent brand experiences.

Mobile Applications: Native or progressive web apps that provide customers with convenient access to products, services, and support.

Omnichannel Communication Platforms: Tools enabling seamless customer engagement across email, SMS, social media, chat, and voice channels.

Customer Data Platforms (CDP): Systems that unify customer data from multiple sources to create comprehensive customer profiles for personalisation and analytics.

E-commerce Platforms: Solutions like Shopify, WooCommerce, or Magento enabling online transactions and digital storefronts.

Chatbots and Conversational AI: Automated systems providing 24/7 customer support and engagement through natural language interactions.

Required Skills

Technical Skills:

Web and mobile application development (HTML, CSS, JavaScript, React, Flutter, Swift)
CRM platform administration and customization
API integration and management
User interface (UI) and user experience (UX) design
Digital analytics and tracking implementation
Security protocols for customer data protection
Cloud platform management (AWS, Azure, Google Cloud)

Business Skills:

Customer journey mapping and experience design
Digital marketing and customer acquisition strategies
Data privacy and compliance (POPIA, GDPR)
Service design thinking
Change management for customer-facing processes
Customer success management
Digital channel strategy development

Soft Skills:

Empathy and customer-centric thinking
Communication across technical and business teams
Problem-solving and creative thinking
Agile and iterative development mindset
Continuous learning and adaptation

2. Partners: Enabling Collaborative Ecosystems

Key Technologies

B2B Portals and Extranets: Secure platforms enabling partners to access information, place orders, track shipments, and collaborate on shared objectives.

Supply Chain Management Systems: Digital platforms coordinating procurement, logistics, inventory, and fulfilment across partner networks.

Electronic Data Interchange (EDI) and API Gateways: Standards-based systems enabling automated data exchange between partner systems.

Partner Relationship Management (PRM) Systems: Platforms managing partner onboarding, training, performance tracking, and incentives.

Collaboration Platforms: Tools like Microsoft Teams, Slack, or specialised B2B collaboration solutions enabling real-time communication and project coordination.

Blockchain and Distributed Ledger Technologies: Systems providing transparent, immutable records for complex multi-party transactions and supply chain tracking.

Contract Management Systems: Digital platforms managing partner agreements, compliance, and performance metrics.

Required Skills

Technical Skills:

API design and integration development
EDI standards and implementation
Enterprise integration patterns and middleware
Blockchain development and smart contracts
Portal development and customization
Security architecture for B2B connections
Data synchronisation and reconciliation

Business Skills:

Supply chain and logistics management
Contract negotiation and management
Partner ecosystem strategy
Procurement and vendor management
Risk management in partner relationships
Performance measurement and SLA management
Business process modelling and optimisation

Soft Skills:

Stakeholder management across organizational boundaries
Negotiation and conflict resolution
Cross-cultural communication
Relationship building and maintenance
Trust development in digital contexts
Collaborative problem-solving

3. Employees: Empowering the Digital Workforce

Key Technologies

Human Capital Management (HCM) Systems: Platforms like SAP SuccessFactors, Workday, or local solutions managing recruitment, onboarding, performance, learning, and compensation.

Collaboration and Productivity Suites: Microsoft 365, Google Workspace, or alternatives providing email, document management, video conferencing, and team collaboration.

Learning Management Systems (LMS): Platforms delivering training, tracking skill development, and supporting continuous learning.

Employee Self-Service Portals: Systems enabling employees to manage their own HR transactions, benefits, and information.

Workflow and Process Automation Tools: Solutions like Microsoft Power Automate or open-source alternatives automating routine tasks and business processes.

Digital Workplace Platforms: Integrated environments bringing together all employee-facing tools and information in unified experiences.

Time and Attendance Systems: Digital solutions managing work schedules, time tracking, and leave management.

Internal Communication Platforms: Corporate intranets, social networks, or apps facilitating organisational communication and culture.

Required Skills

Technical Skills:

HCM system configuration and administration
Workflow automation development
Integration between HR and other enterprise systems
Mobile app development for employee services
Identity and access management
Cloud collaboration platform administration
Data security and employee privacy protection

Business Skills:

Human resources management and policy development
Organisational change management
Learning and development program design
Employee experience design
Performance management frameworks
Workplace culture development in digital environments
HR analytics and workforce planning

Soft Skills:

Empathy and emotional intelligence
Clear communication across hierarchical levels
Coaching and mentoring capabilities
Cultural sensitivity and inclusion
Adaptability to changing work models
Leadership in virtual and hybrid environments
Conflict resolution and mediation

4. Things: Connecting the Physical and Digital Worlds

Key Technologies

Internet of Things (IoT) Platforms: Systems like AWS IoT, Azure IoT, or ThingWorx managing device connectivity, data collection, and remote control.

Sensor Networks and Edge Computing: Devices and systems collecting real-time data from physical assets (machinery, electronics, vehicles, gates, doors, etc) with local processing capabilities.

Industrial Control Systems: SCADA systems, programmable logic controllers (PLCs), and industrial automation platforms.

Asset Management Systems: Platforms tracking physical assets throughout their lifecycle, from acquisition to disposal.

Predictive Maintenance Solutions: AI-powered systems analysing equipment data to predict failures before they occur.

Location and Fleet Management Systems: GPS-based tracking and optimisation for vehicles, mobile assets, and field personnel.

Smart Building Management Systems: Platforms controlling and optimising HVAC, lighting, security, and other building systems.

Digital Twins: Virtual representations of physical assets or processes enabling simulation and optimisation.

Required Skills

Technical Skills:

IoT device programming and configuration
Sensor technology and data acquisition
Edge computing and distributed systems
Industrial protocols (Modbus, OPC UA, MQTT)
Real-time data processing and streaming analytics
Network design for IoT deployments
Cybersecurity for operational technology environments
Cloud-to-edge architecture design

Business Skills:

Asset lifecycle management
Operations and maintenance optimization
Safety and regulatory compliance in operational environments
ROI analysis for IoT investments
Process improvement methodologies (Lean, Six Sigma)
Vendor management for industrial systems
Risk management for connected systems

Soft Skills:

Bridging IT and operational technology (OT) cultures
Translating between technical and operational language
Systems thinking and holistic problem-solving
Safety consciousness and risk awareness
Patience with complex, long-lifecycle implementations
Collaboration with field personnel and engineers

5. Intelligence: Driving Decisions with Data and AI

Key Technologies

Business Intelligence (BI) and Analytics Platforms: Tools like Power BI, Tableau, or Qlik enabling data visualisation, reporting, and self-service analytics.

Data Warehouses and Data Lakes: Centralised repositories like Snowflake, AWS Redshift, or Azure Synapse storing structured and unstructured data for analysis.

Master Data Management (MDM) Systems: Platforms ensuring consistency and accuracy of critical business data across systems.

Artificial Intelligence and Machine Learning Platforms: Solutions like Azure ML, AWS SageMaker, or TensorFlow enabling development and deployment of AI models.

Predictive Analytics Tools: Systems forecasting future trends, behaviours, and outcomes based on historical data.

Natural Language Processing (NLP) Solutions: Technologies enabling computers to understand and generate human language.

Robotic Process Automation (RPA): Software robots automating repetitive, rule-based tasks.

Real-time Analytics and Stream Processing: Systems like Apache Kafka or Azure Stream Analytics processing data as it’s generated.

Required Skills

Technical Skills:

Data engineering and ETL/ELT development
SQL and database management
Programming for data science (Python, R)
Machine learning algorithms and model development
Data visualisation and dashboard design
Big data technologies (Hadoop, Spark)
Cloud data platform administration
Data governance and quality management
Statistical analysis and modelling

Business Skills:

Business intelligence strategy and requirements gathering
Key performance indicator (KPI) definition
Data storytelling and insight communication
Decision science and analytical frameworks
Data ethics and responsible AI practices
ROI measurement for analytics initiatives
Business process understanding across functions
Regulatory compliance for data usage

Soft Skills:

Curiosity and investigative mindset
Critical thinking and hypothesis testing
Communication of complex findings to non-technical audiences
Business acumen to identify valuable analysis opportunities
Attention to detail and data quality consciousness
Ethical judgment regarding data usage
Collaboration between data specialists and business users

Cross-Cutting Technologies and Skills

Certain technologies and capabilities support all five areas of the digital business platform:

Foundational Technologies

Cloud Infrastructure: Public, private, or hybrid cloud platforms providing scalable computing, storage, and networking resources.

Cybersecurity Solutions: Tools and practices protecting data, systems, and networks from threats across all digital touchpoints.

Integration Platforms: Middleware and iPaaS solutions connecting disparate systems and enabling data flow.

DevOps and CI/CD Tools: Platforms enabling rapid, reliable software development and deployment.

Identity and Access Management: Systems managing user authentication, authorisation, and single sign-on across platforms.

API Management Platforms: Tools governing API creation, publication, security, and monitoring.

Universal Skills

Technical Skills:

Cloud architecture and management
Cybersecurity principles and practices
API design and integration
Agile and DevOps methodologies
Project management for technology initiatives
Vendor evaluation and management

Business Skills:

Digital strategy development
Business case development and ROI analysis
Change management and organizational transformation
Risk management
Regulatory compliance
Service management (ITIL or similar frameworks)

Soft Skills:

Leadership and influence without authority
Cross-functional collaboration
Continuous learning mindset
Resilience and adaptability
Strategic thinking
Ethical decision-making

Building Your Digital Capabilities: A Phased Approach

Phase 1: Assess and Prioritise

Evaluate Current State: Audit existing technologies and skills across all five areas
Identify Business Priorities: Determine which digital use cases deliver the most value
Gap Analysis: Identify technology and skill gaps preventing priority use cases
Create Roadmap: Develop phased implementation plan starting with critical capabilities

Phase 2: Build Foundation

Core Infrastructure: Establish cloud platforms, security foundations, and integration capabilities
Quick Wins: Implement high-value, lower-complexity initiatives to build momentum
Skills Development: Begin training programs for priority technical and business skills
Governance: Establish data governance, security policies, and architectural standards

Phase 3: Scale and Integrate

Expand Capabilities: Implement additional technologies across the five areas
Integration: Connect systems to enable data flow and unified experiences
Advanced Skills: Develop specialized capabilities in AI, IoT, or other advanced areas
Culture Change: Embed digital-first thinking throughout the organization

Phase 4: Optimise and Innovate

Continuous Improvement: Refine processes and technologies based on data and feedback
Advanced Use Cases: Leverage platform capabilities for innovation and differentiation
Ecosystem Development: Extend platform to create partner and customer value
Leadership Development: Cultivate digital leaders throughout the organization

Skills Development Strategies

Internal Development

Training Programs: Structured learning pathways for technical and business skills

Mentorship: Pairing less experienced staff with digital experts

Communities of Practice: Forums for knowledge sharing across the organization

Experimentation: Safe environments for trying new technologies and approaches

Rotation Programs: Cross-functional assignments building broader capabilities

External Acquisition

Strategic Hiring: Recruiting key skills not easily developed internally

Consultants and Partners: Engaging specialists for specific implementations

Managed Services: Outsourcing operations while building internal strategic capabilities

Academic Partnerships: Collaborating with universities for talent pipeline and research

Hybrid Approaches

Vendor Training: Leveraging technology vendors’ certification and education programs

Industry Associations: Participating in professional communities and conferences

Online Learning: Utilising platforms like Coursera, Udacity, or LinkedIn Learning

Bootcamps and Accelerators: Intensive programs for rapid skill development

The African Context: Opportunities and Considerations

African organisations pursuing digital transformation face unique considerations:

Leapfrogging Opportunities: Mobile-first approaches can bypass legacy infrastructure constraints

Skills Availability: Focusing on technologies with stronger local talent pools or remote work possibilities

Infrastructure Variability: Designing for inconsistent connectivity and power supply

Cost Sensitivity: Prioritising open-source and cloud-based solutions with flexible pricing

Regulatory Landscape: Navigating evolving data protection and digital economy regulations

Local Innovation: Leveraging African technology ecosystems and locally relevant solutions

Conclusion: Building Your Digital Future Systematically

Digital transformation is not a destination but a continuous journey of capability building. Gartner’s five-area framework provides a systematic approach to identifying the technologies and skills needed for success. The key is starting with clear business objectives, implementing the capabilities needed to achieve them, and building from there.

Remember that technology alone doesn’t create transformation, it’s the combination of appropriate technologies, skilled people, effective processes, and supportive culture that drives sustainable digital business success. By thoughtfully developing capabilities across customers, partners, employees, things, and intelligence, organisations create the platform needed to compete and thrive in the digital age.

For African organisations, this journey represents not just competitive necessity but an opportunity to leapfrog traditional development paths, create new economic opportunities, and address socioeconomic challenges through innovative digital solutions. The investment in building these capabilities today creates the foundation for tomorrow’s success.