Businesses are adopting automation, artificial intelligence and remote work and this is overhauling workplaces. Practical, when it comes to skills, are becoming the currency of the job market.

In Nigeria, where more than 60% of the population is under 25, that change in focus is even more pronounced.

A growing youth population, commendable internet access and the spread of digital tools are pushing more young people to look beyond traditional qualifications and towards skills that will guarantee income.

Against this backdrop, certain abilities are standing out in 2026, and so are the platforms helping people acquire them.

Skills Employers Are Prioritising in 2026

Digital and technology-enabled skills are at the top of employers’ wish lists.

• Cybersecurity
• Machine learning,
• Cloud computing and
• Data analytics

These are no longer niche areas reserved for specialists. They are fast becoming core requirements across industries.

The World Economic Forum projects that more than half of the global workforce will need to reskill or upskill before 2030, with digital capabilities forming a large part of that demand.

In Nigeria, this is already visible in recruitment trends across fintech, telecommunications, logistics and media.

Artificial intelligence literacy is also moving into the mainstream. Employers now expect workers to understand how AI tools function, how to use them responsibly and how to integrate them into daily tasks.

Alongside AI, data analysis, cybersecurity, cloud services and basic automation skills are attracting strong demand.

Importantly, these abilities are no longer confined to software developers. Marketing teams use data dashboards. Finance teams rely on automation. Operations managers deploy cloud tools. Even customer support roles now require some level of digital competence.

However, technical knowledge on its own is not enough.

The Rise of Hybrid and Human Skills

With technology becoming embedded in everyday work, human-centred skills are gaining more importance. Employers continue to value problem-solving, communication, adaptability and critical thinking.

These qualities enable teams to work effectively with technology rather than compete against it.

In 2026, candidates with hybrid skill sets are likely to stand out. A marketer who can analyse campaign data, a product manager who understands user research and analytics, or a finance professional comfortable with automation tools will often have an edge over peers with narrow specialisations.

In Nigeria’s competitive labour market, where many young professionals share similar academic backgrounds, this blend of technical and soft skills is increasingly a differentiator.

Online Training Platforms to Watch in 2026

Demand for practical skills is now high, and learning platforms are expanding their offerings, particularly in AI, cloud computing and data. Many now partner with global technology firms to provide recognised certificates.

Alongside global brands, Africa-focused edtech platforms are also gaining ground, offering mobile-friendly courses, flexible payment plans and programmes tailored to local realities.

Below are five platforms attracting attention in 2026.

1. Coursera

Coursera is one of the most widely recognised online learning platforms globally. It partners with leading universities and companies to deliver courses in technology, business, health and the humanities.

Learners in Nigeria use it to earn professional certificates in areas such as data science, project management and IT support, with options to audit some courses for free or apply for financial aid.

Pros:

• University-backed content and globally recognised certificates.
• Flexible learning schedules.
• Broad range of subjects, from AI to leadership.

Cons:

• Paid certificates can be costly for some learners.
• Video-heavy courses require stable internet access.
• Less focus on highly localised content.

2. Udemy

Udemy operates a marketplace model, allowing instructors to create and sell courses. It is known for practical, hands-on training in programming, cybersecurity, design and business skills.

Its frequent discounts make many courses relatively affordable.

Pros:

• Extensive course library covering thousands of topics.
• Regular price reductions.
• Lifetime access to purchased courses.

Cons:

• Course quality varies by instructor.
• Certificates are not formally accredited.
• Some courses lack structured progression.

3. LinkedIn Learning

LinkedIn Learning focuses on professional development, offering courses in business, software tools, leadership and creative skills. Its integration with LinkedIn allows users to display completed courses directly on their profiles.

Pros:

• Certificates can be showcased to recruiters.
• Short, focused lessons suited to working professionals.
• Strong coverage of business and workplace skills.

Cons:

• Subscription fees may be high for occasional users.
• Limited depth in advanced technical areas.
• Some content may feel introductory for experienced professionals.

4. AltSchool Africa

AltSchool Africa is a Nigeria-founded platform offering structured programmes in software engineering, data, product design and other tech fields. It combines remote learning with mentorship and practical projects.

Pros:

• Programmes tailored to African learners.
• Focus on job-ready tech skills.
• Flexible study options for working professionals.

Cons:

• Smaller catalogue compared to global platforms.
• Intensive programmes may challenge beginners.
• Certifications are still building global recognition.

5. Utiva

Utiva provides cohort-based training in data, product management and digital skills. Its model emphasises live instruction, peer interaction and real-world projects.

Pros:

• Practical training aligned with industry needs.
• Community support and networking opportunities.
• Content designed with African professionals in mind.

Cons:

• Higher fees than many self-paced courses.
• Narrower subject range than larger platforms.
• Fixed timelines may not suit all learners.

Choosing the Right Skills and Platform

For many Nigerians in 2026, the challenge is beyond access to courses but selecting the right path.

Skills that enable remote work, freelancing and digital entrepreneurship are especially attractive, as they allow professionals to tap into global markets.

With smartphone usage rising, mobile-friendly platforms with offline options and low data requirements are also important.

Cost, credibility of certification and practical relevance should guide decisions. Employers are paying closer attention to demonstrable skills and completed projects, not just paper qualifications.

In summary, continuous learning is becoming a necessity rather than an option. Nigeria’s young population, expanding connectivity and global appetite for digital talent create a window of opportunity.

Those who identify in-demand skills early and invest in credible, practical training platforms are likely to be better positioned in a labour market that is evolving faster than ever.

With close to ten years of experience in digital finance, Bidemi has led Flashchange from idea to impact, with the Flashchange app now recognized for its fast, secure and user-friendly trading experience.

Currently launching a second product; a cross border payment platform, Bidemi is passionate about transforming Africa’s financial ecosystem.

Bidemi is an alumnus of Lagos Business school and Strathmore Business School where he has completed various executive programs. He also holds a bachelor’s degree from Obafemi Awolowo University.

In this interview with Techeconomy, he speaks on Nigeria’s crypto tax act, VASP licensing, and economic growth. Excerpt:

TE: With Nigeria processing an estimated $92.1bn in crypto transactions in a year, according to PwC, how can the industry help convert this scale of activity into measurable economic growth and national value?

Bidemi Oke: Transaction volume on its own does not create economic value, structure does. Nigeria can convert crypto activity into measurable value by formalizing the ecosystem through licensing, reporting standards and financial integration.

Once crypto flows through recognized, regulated channels, it becomes visible to policymakers, taxable where appropriate and capable of supporting employment, consumer protection and data-driven policy decisions.

The shift from informal participation to regulated participation is what turns scale into sustainable economic contribution.

TE: If crypto is fully integrated into Nigeria’s formal financial system, which sectors are likely to see the greatest economic impact?

Bidemi: If crypto is coherently integrated into Nigeria’s formal financial system, the benefit would ripple across multiple sectors. The most immediate gains would be seen in fintech, payments, SMEs and the broader digital economy. Crypto infrastructure reduces settlement friction, enables programmable finance and opens alternative funding pathways for businesses.

Capital markets would also benefit through asset tokenization and improved liquidity. Crucially, it is significant to know that secondary sectors such as cybersecurity, compliance, software engineering and digital infrastructure would expand in parallel, creating skilled employment and strengthening Nigeria’s technology backbone.

TE: How can Nigeria’s new Tax Act be applied to crypto in a way that boosts revenue without stifling innovation or driving the market underground?

Bidemi: From a market standpoint, the government’s objective should be to tax value creation, not participation. The government can balance revenue generation and innovation by taxing real value rather than every transaction. This means focusing on profits made by crypto businesses and gains realized by investors, rather than routine transfers or everyday users.

When tax rules are clear, proportional, and applied through licensed entities, compliance becomes simple and natural.

Usually, low entry barriers and predictable rates keeps innovation onshore, prevents activity from slipping back into informal channels and allows the government to grow sustainable revenue alongside a healthy, evolving market.

TE: Beyond taxation, what long-term economic benefits can crypto unlock for Nigeria?

Bidemi: Beyond revenue, crypto offers Nigeria a strategic opportunity to build human capital and exportable digital expertise. It supports high-skill job creation in blockchain engineering, cybersecurity, compliance, data analytics and financial education.

A regulated ecosystem will attract long-term foreign and diaspora investment into Nigerian platforms, helping retain local talent and reduce brain drain.

Over time, crypto would help improve efficiency in payments, trade settlement and digital commerce, thereby enhancing Nigeria’s competitiveness in the global digital economy.

TE: What concrete steps are currently being taken to license and regulate Virtual Asset Service Providers (VASPs) in Nigeria, and how critical is this to market confidence?

Bidemi: SEC has introduced structured VASP licensing frameworks, operational guidelines and sandbox initiatives covering exchanges, custodians and wallet providers. These frameworks were built to emphasize AML/KYC compliance, governance, risk management and capital adequacy.

This is a critical step because credible markets are built on trust. Licensing filters out systemic risk, establishes accountability and provides the regulatory certainty required for long-term market development.

TE: How will proper licensing help protect consumers while also attracting institutional and foreign investment into Nigeria’s crypto ecosystem?

Bidemi: Proper licensing protects consumers by enforcing minimum standards for custody, security, transparency and operational conduct, while providing clear legal recourse.

For institutional and foreign investors, licensing is a signal of regulatory seriousness and market stability. This automatically transforms Nigeria from a high-participation crypto market into an investable one, capable of supporting institutional liquidity, global partnerships and long-term infrastructure investment that benefits the entire system.

TE: What lessons can Nigeria learn from other countries that have successfully regulated crypto?

Bidemi: Jurisdictions such as the UAE, Singapore, and Switzerland demonstrate that crypto regulation works best when it is clear, adaptive and economically intentional. These countries began with foundational rules, engaged closely with industry participants and refined their frameworks as the market matured.

The core lesson from this is that regulation should evolve with innovation and not trail behind it or attempt to suppress it.

Nigeria does not need to replicate any model wholesale, instead, we need a locally grounded framework that aligns with global standards while reflecting domestic realities

This growth is being driven by the increasing demand for digital banking platforms and the rising adoption of cloud-based solutions.

With digital transformation accelerating, retail core banking systems are increasingly becoming essential to modern banking operations. 

Banks are shifting from traditional legacy systems to agile, cloud-enabled platforms that offer improved operational efficiency, real-time processing, and seamless omnichannel service.

This transition is also propelled by the growing expectation for hyper-personalized banking experiences, especially from younger, tech-savvy customers.

Retail Core Banking Systems Market Trends

• Banks are shifting toward unified core banking platforms that centralize customer data, transactional records, and product lifecycles across all channels. These integrated systems break down silos between retail, digital, and back-office operations, enabling banks to deliver seamless and consistent user experiences.

• In heavily regulated financial markets, retail core banking systems are evolving to ensure compliance with tightening regulatory requirements, data governance mandates, and cybersecurity protocols. Built-in features such as automated reporting, real-time transaction monitoring, and AI-driven anomaly detection help institutions stay compliant with domestic and international regulations like Basel III, PSD2, and GDPR. As compliance burdens increase, banks are using technology to ensure audit readiness, minimize regulatory penalties, and maintain customer trust.

• AI, machine learning, and predictive analytics are being embedded into core banking platforms to enable intelligent decision-making and proactive service delivery. From credit risk scoring and customer churn prediction to dynamic pricing and personalized product recommendations, advanced analytics are helping banks optimize operations and improve customer outcomes. These tools support smarter lending decisions, fraud detection, and hyper-personalized marketing campaigns, allowing banks to shift from transactional relationships to value-driven partnerships.

In response, banks are adopting advanced core systems that support open banking APIs, cloud computing, and data analytics.

These systems not only facilitate faster product rollouts but also ensure compliance with evolving regulations.

As digital banking becomes the standard, core banking systems are evolving from simple backend utilities to key enablers of innovation and customer engagement.

The rising need for flexible and responsive banking services is reshaping the financial landscape, leading to greater competition and more inclusive services.

These industries, which are frequently plagued by big data sets and inefficient legacy systems, may now use real-time insights to drive decision-making, increase operational efficiency, and enhance consumer experiences.

Data is no more just a consequence of corporate operations; it is a tool that, when used properly, has the ability to transform whole sectors.

Data analytics has brought about significant changes in the healthcare industry. Healthcare professionals may now find previously unknown trends by combining massive volumes of patient data, which range from medical histories to lifestyle characteristics.

Predictive models powered by these data enable early intervention, allowing healthcare providers to better manage chronic disorders and perhaps avoid sickness progression. The claims procedure has also been simplified.

The capacity to automate the discovery of anomalies and fraudulent claims speeds up the entire process, making it more transparent and accurate. This has not only increased operational efficiency but also improved patient-provider trust.

Data analytics are transforming the banking business as well. Financial organizations no longer rely entirely on traditional risk-assessment measures, such as credit ratings, to establish loan eligibility. Banks may better understand their clients’ financial activities by combining more data points, such as spending patterns and transaction histories.

This greater knowledge enables banks to provide more tailored services and financial solutions that are better suited to their clients’ unique demands.

Fraud detection has also advanced, with machine learning algorithms detecting suspicious transactions in real time, lowering losses and increasing security.

Predictive analytics assists banks in forecasting future trends, allowing them to make better-educated decisions regarding their loan portfolios, investments, and financial strategy.

Data-driven technologies have also helped energy corporations, particularly those that employ smart grids.

These grids provide real-time control of energy distribution, ensuring that energy is allocated effectively in response to current demand.

Companies may improve sustainability and reduce waste by evaluating consumption data at the granular level.

These data also assist energy suppliers in anticipating demand variations and adjusting supply proactively, ensuring that energy consumption is balanced and expenditures are avoided.

Aside from streamlining operations, data analytics helps energy businesses reach sustainability objectives by finding places where renewable energy sources may be more efficiently integrated.

Across all three industries, data analytics enables firms to make smarter, quicker choices based on a better knowledge of their operations and clients.

The capacity to derive meaningful insights from big data sets enables more tailored services, increased operational efficiency, and greater risk management.

Healthcare is becoming more patient-centered, banking is increasing financial inclusion, and energy is becoming more sustainable—all because to the power of data.

As data analytics advances, its importance in these businesses will only grow. The capacity to use data for both efficiency and creativity is critical to the future of healthcare, finance, and energy.

Those who embrace these technologies will not only stay competitive, but will also be better positioned to build more sustainable, egalitarian, and efficient systems in the future.

Author – Ibironke Adegoke

Ibironke is a professional with a BSc in Mathematics and an MSc in Applied Artificial Intelligence and Data Analytics, boasting over eight years of experience in banking, healthcare, and energy sectors.

Currently working as a Universal Credit Review Agent, she utilizes her analytical skills to improve processes and outcomes.

Proficient in data visualization tools such as Microsoft Excel and PowerBI, Ibironke is dedicated to efficiency and continuous improvement, making her a versatile and results-oriented individual.

The Nigerian Communications Commission (NCC) recently reported that Nigeria’s internet consumption reached 973,455 terabytes in December 2024, a 36.5% increase from the previous year. 

That’s 998.79 million gigabytes of data used in just one month. Despite this surge in demand, the country’s broadband penetration stood at 44.43%, far below the 70% target set in the National Broadband Plan (2020–2025). 

Even more concerning, Nigeria ended 2024 with 164.9 million active telecom subscribers—down from 224.7 million the year before.

Imagine streaming a movie now costing as much as a meal, and staying online feels like a privilege reserved for the wealthy. 

This sharp decline in active subscribers, even with the growing need for internet services, is leading to talks of Nigerians being unable to afford staying connected.

Inflation and currency devaluation have shot the industry’s costs of operations really high, leading to the Nigerian Communications Commission’s (NCC) recent approval of a 50% increase in telecommunications tariffs—the first such hike in over a decade—to help operators manage the high expenses. 

The Need for Inclusive Resilience in the Telecom Sector

This tariff increase has struck conversations across various bodies. The Nigeria Labour Congress (NLC) has labelled the hike as “insensitive” and “unjustifiable,” especially given the current cost-of-living issue. 

While telecom operators argue that the challenges leave them with no choice, consumers are wondering if affordable connectivity is becoming a thing of the past.

Inflation is wearing out disposable income, forcing consumers to prioritise essentials over data and call plans. Businesses, especially SMEs, rely heavily on telecom services, but higher costs threaten their ability to stay competitive.

The rural-urban gap in connectivity may expand, as rural consumers—who already struggle with access—may be priced out of the market.

In the midst of these challenges, the telecom sector must find ways to remain profitable without sidelining lower-income consumers. The key lies in resilient and inclusive strategies that balance affordability, sustainability, and growth.

Strategy 1: Tiered and Flexible Pricing Models

1. The Power of Segmentation in Telecom

To effectively serve a diverse customer base, telecom operators should segment their users into low-income, middle-income, and high-income categories. This segmentation allows for targeted services that meet the specific needs and financial capabilities of each group.

2. Implementing Flexible Pricing Structures

• Pay-as-you-go options: Ideal for price-sensitive users who prefer to control their spending without committing to fixed plans.
• Subscription models: Offer middle-income consumers affordable packages with predictable billing cycles.
• Premium services: Provide high-income users with enhanced features such as high-speed internet and exclusive customer support.

3. Strategy 2: Infrastructure Cost Optimisation Through Public-Private Partnerships (PPP)

1. The High Cost of Expanding Telecom Network Infrastructure

Building and maintaining telecom infrastructure, such as towers and broadband cables, require huge capital investment. Inflation further increases these costs, making it challenging for operators to expand and upgrade their networks.

2. Leveraging PPP to Reduce Financial Stress

Collaborating with government entities and development banks can help telecom operators share the financial risks associated with infrastructure projects. For example, partnerships can be formed to extend network coverage to underserved rural areas, with shared investment and benefits.

In Kenya, the government and private telecom operators have partnered to expand rural connectivity, resulting in increased access to communication services in previously underserved regions.

Initiatives like the National Optic Fibre Backbone Project and partnerships with telecom providers such as Safaricom, Telkom Kenya, and Airtel have helped boost this.

Strategy 3: Digital Transformation and AI-Driven Efficiency

1. How Digital Transformation Can Lower Costs

Leveraging digital tools and automation can simplify operations, reducing the need for manual intervention and lowering operational expenses. For instance, AI-powered network management systems can optimise bandwidth usage and predict maintenance needs, thereby reducing downtime and associated costs.

2. The Impact on End-Users

Customers benefit from faster and more efficient services, such as AI-driven customer support that can handle inquiries promptly. These efficiencies can lead to cost savings for operators, which can be passed on to consumers in the form of more affordable services.

Strategy 4: Expanding Alternative Revenue Streams

1. Moving Beyond Traditional Revenue Models

Relying solely on voice and data services is becoming more and more unsustainable. Diversifying into areas like financial technology (fintech), cloud services, and the Internet of Things (IoT) can open new revenue streams. This is seen in MTN’s transition to a Techco.

2. Monetising Digital Services

• Mobile money and payment solutions: Offer financial services to unbanked populations, generating transaction fees.
• Entertainment bundles: Partner with streaming services to provide bundled offerings, enhancing value for consumers.

MTN’s MoMo, Airtel Money and Safaricom’s M-Pesa are prime examples of telecom operators successfully launching into mobile financial services, greatly contributing to revenue growth.

Strategy 5: Strengthening Local Supply Chains to Mitigate FX Risks

1. The Problem of Foreign Exchange Dependency

Heavy reliance on imported equipment makes telecom operators vulnerable to currency fluctuations, increasing costs unpredictably.

2. Investing in Local Manufacturing and Partnerships

Developing local production capabilities for items like SIM cards and network components can reduce foreign exchange exposure. Partnering with local tech firms can also promote innovation and cost-effective solutions tailored to the local market.

Strategy 6: Data-Driven Decision Making for Telecom Customer Retention

1. The Cost of Customer Churn in an Economic Downturn

Losing customers can be more expensive than retaining existing ones, especially when inflation reduces consumers’ disposable income. High churn rates force telecom companies to spend more on marketing and customer acquisition, which can negatively impact already tight budgets.

2. Leveraging Big Data and Analytics for Personalised Offers

Telecom operators can use customer data analytics to identify usage patterns, predict churn risk, and design personalised retention strategies.

• Usage-based incentives: Offering discounts or data bonuses to customers who frequently recharge can encourage continued engagement.
• Loyalty rewards: Retaining long-term customers through perks such as discounted family plans or exclusive streaming deals.

MTN and Airtel have successfully used data analytics to provide dynamic pricing models, such as location-based discounts and time-sensitive data plans, reducing churn and boosting customer satisfaction.

Strategy 7: Strengthening Regulatory and Industry Collaboration in Telecom

1. The Impact of Government Policies on Telecom Viability

Government policies on taxation, spectrum licensing, and price regulations are important in determining telecom sector stability. The recent 50% tariff hike approved by the Nigerian Communications Commission (NCC) is an example of how policy decisions directly affect consumers and telecom operators.

2. Advocacy for Fair and Sustainable Policies in the Telecom Sector

Telecom companies must engage policymakers and industry regulators in constructive dialogue to ensure that tariff adjustments, tax structures, and regulatory frameworks balance profitability with affordability for consumers.

3. Encouraging Investment-Friendly Policies in the Telecom Sector

• Reducing multiple taxation: Telecom firms should advocate for streamlined tax policies to prevent excessive levies that inflate operational costs.
• Incentives for rural expansion: Government support, such as tax breaks for rural infrastructure projects, can make connectivity more accessible in underserved areas.

Regulatory frameworks can encourage competitive pricing while ensuring telecom operators remain profitable.

Summary of Key Points

Though there are economic pressures like inflation, telecom operators can thrive and ensure inclusive connectivity by implementing seven key strategies:

1. Tiered and flexible pricing models to serve all income groups.
2. Public-private partnerships (PPP) to reduce infrastructure costs.
3. Digital transformation and AI for cost efficiency.
4. Diversifying revenue streams beyond data and voice services.
5. Strengthening local supply chains to reduce foreign exchange risks.
6. Using data-driven strategies to retain customers.
7. Collaborating with regulators to ensure fair pricing policies.

The Lot of Resilient Connectivity

With smart, adaptive strategies, telecom operators can continue to deliver quality services across all economic segments while mitigating the impact of inflation.

The telecom sector must act assertively by adopting innovative pricing, infrastructure investment, and customer-centric solutions. 

Regulators, industry leaders, and consumers must collaborate to ensure that connectivity remains affordable, sustainable, and inclusive—regardless of economic conditions.

With the rapid integration of AI (Artificial Intelligence) and cybersecurity into value chain analysis, businesses are poised to enhance efficiency, drive innovation, and ensure long-term sustainability in an interconnected and digitised world.

Organisations can gain deeper insights, optimise processes, and improve security across the value chain by leveraging AI-driven data analytics, predictive maintenance solutions, and cybersecurity measures.

This piece delves into the transformative impact of AI and cybersecurity on value chain analysis, highlighting the potential for organisations to create further value, enhance operational resilience, and foster continuous improvement amidst a rapidly evolving business landscape.

How can businesses effectively utilise Value Chain Analysis in the digital age to identify opportunities for efficiency and growth? In a rapidly evolving business landscape, adapting quickly to new technologies and changing consumer preferences is crucial for maintaining competitiveness.

By leveraging AI and machine learning tools in Inbound Logistics, businesses can optimise their supply chain, reduce costs, and ensure efficient inventory management. Implementing IoT and automation technologies in Operations can streamline production processes, enhance productivity, and improve product quality.

Investing in digital solutions like route optimisation software and delivery tracking systems for Outbound Logistics can boost delivery times, decrease shipping expenses, and elevate the overall customer experience.

In Marketing and Sales, the utilisation of digital marketing tools enables businesses to reach a broader audience, personalise campaigns, and analyse data for targeted strategies.

Moreover, businesses can enhance customer support in the service stage by employing chatbots and self-service portals and leveraging data analytics to improve service offerings and customer satisfaction.

By conducting a comprehensive Value Chain Analysis and integrating digital technologies at every stage, businesses can drive growth, boost efficiency, and maintain competitiveness in the dynamic digital landscape.

Companies must adopt digital tools that align with their strategic objectives and support overall business growth to thrive in the digital age.

A value chain analysis is a tool used by businesses to identify the activities that add value to their products or services and help them gain a competitive advantage in the market. In the digital age, companies can leverage technology to streamline and enhance their value chain, leading to increased efficiency, cost savings, and better customer experiences.

Here are some ways in which businesses can use value chain analysis for growth in the digital age:

Digital Marketing:

Businesses can use digital marketing strategies such as social media, email marketing, and search engine optimisation to reach a larger audience and attract more customers. By analysing different marketing channels and their effectiveness, businesses can optimise their marketing efforts and increase their return on investment.

eCommerce:

With the rise of online shopping, businesses can expand their reach by setting up an ecommerce platform.

By analysing their ecommerce value chain, companies can identify areas for improvement, such as streamlining the ordering process, improving customer service, and enhancing the user experience.

Data Analytics:

Businesses can use data analytics tools to analyse customer behaviour, market trends, and operational efficiency. Businesses can make data-driven decisions to improve their value chain and identify new growth opportunities by collecting and analysing data.

Supply Chain Management:

Digital technology can help businesses optimise their supply chain by improving inventory management, reducing lead times, and increasing visibility into the supply chain. By analysing their supply chain value chain, companies can identify ways to reduce costs, improve quality, and enhance overall supply chain performance.

Customer Relationship Management (CRM):

Businesses can use CRM systems to track customer interactions, manage leads, and improve customer retention. By analysing customer data and feedback, businesses can better understand their customers’ needs and preferences, leading to more personalised marketing campaigns and improved customer satisfaction.

Intriguingly, businesses can leverage technology and data analytics to enhance their value chain and drive growth in the digital age.

By analysing their value chain and identifying areas for improvement, businesses can streamline their processes, reduce costs, and deliver a better experience to their customers, ultimately leading to increased competitiveness and success in the market.

How can value chain analysis be leveraged within enterprise management and analytics to drive additional value for organisations in today’s digital age? Value chain analysis is a valuable tool for enterprise management and analytics in creating further value in organisations in the digital age.

Here are some ways in which value chain analysis can be useful:

1. Identifying Value-Adding Activities: Value chain analysis helps organisations identify the key activities that add value to their products or services. By understanding these activities, organisations can focus their resources and efforts on improving them, leading to increased efficiency and customer satisfaction.

2. Streamlining Processes: Value chain analysis allows organisations to identify inefficiencies and bottlenecks in their processes. By optimising these processes, organisations can reduce costs, improve quality, and increase productivity.

3. Enhancing Customer Experience: Value chain analysis helps organisations understand the customer journey from start to finish. Organisations can tailor their products and services to better meet customer needs and preferences by identifying touchpoints where value can be added.

4. Leveraging Technology: In the digital age, organisations can use technology to streamline and enhance their value chain. By incorporating digital tools and analytics into their processes, organisations can improve decision-making, reduce time-to-market, and stay ahead of the competition.

5. Identifying New Growth Opportunities: Value chain analysis can help organisations identify new opportunities for growth and expansion. By analysing their value chain, organisations can uncover areas where they can innovate, diversify, or enter new markets.

6. Improving Risk Management: Value chain analysis enables organisations to assess potential risks and vulnerabilities in their operations. By identifying weaknesses in their value chain, organisations can implement strategies to mitigate risks and build resilience.

Essentially, value chain analysis is a powerful tool for enterprise management and analytics in creating further value in organisations in the digital age.

By analysing and optimising their value chain, organisations can drive efficiency, innovation, and growth, leading to sustained success in a rapidly changing business environment.

How can the application of value chain analysis enhance governance frameworks and drive reforms within organisations, with various examples to illustrate its impact? Value chain analysis can also be applied to governance frameworks and reforms to drive efficiencies, transparency, and value creation in public sector organisations. Here are some examples of how value chain analysis can be utilised in governance:

1. Service Delivery Improvement: In the public sector, value chain analysis can be used to map out the processes involved in delivering services to citizens. By identifying bottlenecks and inefficiencies in the service delivery chain, governments can streamline processes, reduce costs, and improve service quality. For example, a government agency may conduct a value chain analysis of its social welfare programs to identify areas for improvement and better serve vulnerable populations.

2. Budget Allocation Optimisation: Value chain analysis can help governments optimise budget allocations by identifying the key activities that drive value in public services. By understanding the costs and benefits associated with each activity in the value chain, governments can make informed decisions on resource allocation. For instance, a government agency may analyse its procurement processes to identify opportunities for cost savings and efficiency improvements.

3. Stakeholder Engagement Enhancement: Value chain analysis can also be used to enhance stakeholder engagement in governance processes. By mapping out the relationships and interactions between various stakeholders, governments can identify ways to better engage with citizens, businesses, and other partners. For example, a local government may analyse its value chain for infrastructure development to involve local communities in decision-making and project planning.

4. Policy Design and Implementation: Value chain analysis can inform the design and implementation of governance reforms and policies. By understanding the impact of different policy options on the overall value chain, governments can make evidence-based decisions that drive positive outcomes. For instance, a government may analyse the value chain for healthcare services to devise a policy that improves access to care, reduces costs, and enhances health outcomes.

5. Performance Monitoring and Evaluation: Value chain analysis can also be used for monitoring and evaluating the performance of governance frameworks and reforms. By measuring key performance indicators at each stage of the value chain, governments can track progress, identify areas for improvement, and ensure accountability. For example, a government may conduct a value chain analysis of its education system to track student outcomes, teacher performance, and resource allocation.

Coherently, value chain analysis can be a powerful tool for improving governance frameworks and driving meaningful reforms in public sector organisations.

By applying value chain principles to governance processes, governments can enhance service delivery, optimise resource allocation, engage stakeholders effectively, design evidence-based policies, and monitor performance to achieve better outcomes for citizens.

How does the integration of AI and Cybersecurity significantly influence value chain analysis in the digital age, and how does this impact strengthen the overall efficiency and effectiveness of organisations?

In the digital age, the integration of AI (Artificial Intelligence) and cybersecurity into value chain analysis can have a transformative impact on organisations, enhancing efficiency, accuracy, and security throughout the value creation process.

Here is an in-depth exploration of how AI and cybersecurity influence value chain analysis in the digital age robustly:

1. AI-Driven Data Analytics: AI technologies such as machine learning and predictive analytics can significantly augment traditional value chain analysis by processing vast amounts of data at high speeds to identify patterns, trends, and insights that may not be immediately apparent to human analysts. By leveraging AI-driven data analytics, organisations can gain a deeper understanding of their value chains, optimise processes, predict future outcomes, and make informed decisions to drive value creation.

2. Predictive Maintenance and Optimisation: AI-powered predictive maintenance solutions can proactively monitor the performance of machinery, equipment, and systems within the value chain, detecting potential issues before they escalate into costly downtime or disruptions. By integrating predictive maintenance into value chain analysis, organisations can optimise asset utilisation, reduce maintenance costs, and enhance operational efficiency.

3. Cybersecurity Integration: In the digital age, cybersecurity is a critical consideration for organisations conducting value chain analysis, as the increasing digitisation of processes introduces new vulnerabilities and risks. By integrating cybersecurity measures into value chain analysis, organisations can protect sensitive data, safeguard intellectual property, and ensure the integrity and confidentiality of information across the value chain.

4. Threat Detection and Incident Response: AI-powered cybersecurity solutions can detect and respond to cyber threats in real-time, enhancing the organisation’s ability to identify and mitigate security incidents promptly. By incorporating threat detection and incident response capabilities into value chain analysis, organisations can proactively address cybersecurity risks, safeguard critical assets, and maintain operational resilience.

5. Supply Chain Risk Management: AI technologies can analyse vast amounts of supply chain data to identify potential risks, disruptions, and vulnerabilities that may impact the value chain. By leveraging AI-driven supply chain risk management tools, organisations can improve visibility, mitigate risks, and enhance the resilience of their value chains in the face of rapidly changing market dynamics and external threats.

6. Enhanced Decision-Making: AI can assist in decision-making processes by providing data-driven insights, recommendations, and predictions based on complex analyses of value chain performance metrics. By leveraging AI-enhanced decision support systems, organisations can make informed choices, optimise resource allocation, and drive continuous improvement across the value chain.

7. Continuous Monitoring and Improvement: AI and cybersecurity technologies enable continuous monitoring of value chain operations, identifying anomalies, deviations, and potential risks in real-time. By incorporating AI-driven monitoring and cybersecurity protocols into value chain analysis, organisations can detect issues early, respond effectively, and continuously improve the efficiency and effectiveness of their value creation processes.

Effectively, the integration of AI and cybersecurity into value chain analysis in the digital age empowers organisations to enhance operational efficiency, optimise resource utilisation, mitigate risks, and drive value creation across the entire value chain.

By leveraging AI-driven data analytics, predictive maintenance, cybersecurity measures, threat detection capabilities, and enhanced decision-making tools, organisations can adapt to the evolving digital landscape, enhance competitiveness, and achieve sustainable growth in an increasingly complex and interconnected business environment.

In conclusion, the integration of AI and cybersecurity into value chain analysis offers organisations a significant opportunity to thrive in the digital age.

By embracing innovation, adapting to market dynamics, and prioritising cybersecurity, businesses can optimise processes, enhance operational efficiency, and safeguard critical assets throughout the value chain.

As organisations navigate the complexities of the digital landscape, robustly incorporating AI and cybersecurity into value chain analysis will unlock growth opportunities, drive continuous improvement, and position businesses for long-term success in an interconnected and data-driven business environment.

Gut-based decisions can occasionally lead to success, however, those wins are often more coincidental than  a reflection of true strategic insight.

More than 90% of the businesses derive benefits from data analytics strategies

A robust data analytics solution enables businesses to transform raw data into organised, actionable insights across numerous functions.

They can span CX—helping personalise interactions based on an analysis of individual preferences and behaviours, growth strategies—allowing teams to identify distinct customer segments basis emerging deal patterns, post-sales support—enabling quick response times by analysing ticket allocation systems and discerning gaps, and so on. It’s no surprise, then, that nearly 92% of organisations reported measurable value from their data and analytics investments in 2023.

Unfortunately, many organisations fail to derive full value from their data analytics strategies. One of the reasons for that is analytics systems not having a full view of what’s happening across the company owing to data silos.

Information silos can affect the quality of data insights

There are numerous reasons why an organisation can end up with fragmented or siloed data, but a key factor is the existence of different tech platforms across various departments.

Use of disparate tools for different functions can lead to decentralised management of data. For instance, while the sales team might know how many units of a product a customer has purchased, they may have no visibility into how quickly the customer pays their invoices or how many interactions they’ve had with marketing and communication collateral before making a purchase.

There are other data issues that businesses face too. Among them is poor data quality. This can be caused by manual data collection practices that often yield inaccuracies, inconsistencies, and redundancies.

Poor data quality forces businesses to spend a lot of time and resources on cleaning up, which further prolongs the analysis process.

The best approach to solve these issues is to digitalise and unify data sources with the right tech platform that interconnects all departments.

The right software matters

Fortunately, with the right software, achieving a unified view of data becomes much simpler. Effective data analytics software will bring disparate data points together and make analysis easier.

To do this effectively, the software should provide native integrations with a diverse array of data sources, including local files, feeds, databases, and business applications.

Beyond that kind of integration and unified view, what should organisations look for in business analytics software?

First, it should be accessible to all users—whether they are business users, data analysts, data engineers, or BI specialists—ensuring ease of use and value for everyone.

The software should also offer pipeline builders, be compatible with other forms of software, support streaming analytics, deliver real-time insights, and provide unified metrics.

In addition, the software must evolve with a business’ changing data analytics needs. This means supporting features like generative AI analytics, predictive AI, and machine learning capabilities.

The ability to trigger actions based on alerts and pipelines, connect to niche business apps, and integrate multiple BI and data analytics tools will further enhance its benefits.

Ultimately, the software should demonstrate clear value by reducing manual effort and streamlining processes, handling large datasets efficiently, and delivering cost and time savings.

The data’s there; now bring it together

Given the clear benefits that good data analytics software offers businesses, embracing it should be a no-brainer.

Most organisations already sit on a treasure trove of data; it’s simply not being put to effective use.

A unified data analytics software can change that by bringing together disparate data points and providing a consolidated view with actionable insights. Implemented correctly, those insights can supercharge a business’s growth trajectory.

Meet Adejoju Ajani, a maestro in the orchestration of team dynamics and a virtuoso in transforming intricate data into invaluable business insights. 

Her ability to seamlessly navigate the complexities of leadership while delving deep into the world of data is nothing short of remarkable. A toast to this exceptional talent, whose expertise illuminates the spheres of both team management and data expertise.

Adejoju Ajani is a dynamic and dedicated professional, who stands at the forefront of data analytics. Armed with a Master’s degree in Business Intelligence and Analytics from the University of Westminster, Ajani possesses a profound passion for transforming raw data into actionable insights that drive strategic business decisions.

With a robust background in data architecture, data engineering, and business intelligence, Adejoju has honed her expertise through diverse roles in prominent industries. Notably, she has served as the Head of Data and Analytics at Interswitch Group, a position where she has demonstrated exceptional leadership skills and a keen analytical mind. 

In this role, she oversees a team of professionals, guiding them in the domains of data analytics, data mining, and opinion modeling, shaping the future of data-driven strategies at Interswitch Group.

Before her current role, Adejoju led the Business Intelligence and Systems team at Interswitch Group, showcasing her adeptness in SQL, database design and administration, and data visualization. Before joining Interswitch Group, she contributed significantly to West Atlantic Energy Ltd. as a Business Intelligence Analyst, where she played a pivotal role in harnessing data to optimize business processes.

Adejoju’s journey in the data analytics sphere began at GTCO (formerly GTBank), where she served as an E-Business Data Analyst, gaining hands-on experience in web and social media analytics. Her academic journey led her through the intricacies of data mining, text mining, decision sciences, and statistics, culminating in a comprehensive understanding of data-driven methodologies.

Beyond her professional endeavors, Adejoju is a certified IT professional, holding an ITIL Foundation Certificate in IT Service Management and a GoLeanSixSigma.com Green Belt certification. These credentials emphasize her zeal for excellence and her drive to continually enhance her skills in the ever-evolving landscape of data analytics.

As a Course Representative for the class of 2015/2016 at the University of Westminster, Adejoju exhibited her dedication to the academic community, further enriching her leadership skills.

Adejoju Ajani’s story is one of continuous learning, innovation, and dedication to the world of data analytics. Through her expertise, she illuminates the path to turning data into valuable business decisions, shaping a future where insights pave the way for success.

Data analytics solutions have become indispensable tools for companies across various industries, enabling them to extract valuable insights from their data. If you’re wondering whether your company could benefit from a data analytics solution, here are six signs to consider:

1. Data Overload

Is your organization drowning in data? If you find it challenging to manage and derive meaningful insights from the massive volumes of data you collect, it’s a clear sign that a data analytics solution could help. These solutions are designed to handle and analyze large datasets efficiently.

2. Limited Data Visibility

Do you struggle to gain visibility into your company’s operations, customer behavior, or financial performance? Data analytics can provide a holistic view of your business by consolidating data from various sources and presenting it in a comprehensible format, allowing you to make more informed decisions.

3. Manual Data Processing

If your team spends excessive time manually processing data or generating reports, it’s a sign that your processes could be automated with the help of data analytics tools. Automation can significantly reduce human error and free up valuable time for strategic tasks.

4. Reactive Decision-Making

Are you often reacting to issues or market changes rather than proactively anticipating them? Data analytics can empower your company to predict trends, identify potential challenges, and make proactive decisions to stay ahead of the competition.

5. Ineffective Marketing Campaigns

Struggling to achieve your marketing goals? Data analytics can enhance your marketing efforts by providing insights into customer preferences, segmenting your audience effectively, and measuring the success of your campaigns. This can lead to more targeted and successful marketing strategies.

6. Competitive Pressure

Are your competitors leveraging data analytics to gain a competitive edge? Falling behind in the data-driven race can put your company at a significant disadvantage. Implementing data analytics can help level the playing field and potentially surpass your competition.

Now that you’ve identified the signs, you might wonder where to start. We’ve compiled a list of six companies that you can trust to help you harness the power of your data.

Leveraging Data Analytics for Business Growth

Six Data Analytics Companies You Can Trust

1. Data Scientists Network (DSNai)

AI technology for health, education, financial inclusion, and agriculture in emerging markets, DSNai is on a mission is to raise 1 million AI talents in Nigeria and develop AI solutions that improve the quality of life for 2 billion people in emerging markets. They specialize in building adaptable infrastructure and local datasets for last-mile deployment of Generative AI applications.

2. Rise Network

Rise Network is also focused on Data Science, Analytics, and Artificial Intelligence Powered Learning, Research, and Work Readiness. The company is a social enterprise dedicated to skills development, digital transformation, and governance innovation. It aims at the dynamic trends of the 4th Industrial Revolution and offers solutions to enhance individuals’ skills, drive digital transformation in organizations, and innovate governance in the public sector.

3. Dataleum

Dataleum is building a global talent accelerator, with a strong emphasis on excellence in Data Analytics. It aims to bridge the global skills gap by providing value-packed and cost-effective Data Analytics skill sets, both in-person and remotely. It is also producing world-class Data Analysts and Scientists, while connecting them with top partner companies across Africa and the world.

4. Hyperspace Technologies

Developing solutions using Web3 technologies for a more secure and transparent internet, Hyperspace Technologies specializes in utilizing blockchain and decentralized technologies to create a secure and transparent internet. It offers a range of tools, including decentralized applications (DApps) and smart contracts.

5. Tarragon Group

Tarragon Group focuses on the “mobile-first African market” and offers data platforms to enrich first-party data and understand African consumers. Building Africa’s largest data-powered marketing cloud ecosystem, it aims to provide intelligent and meaningful experiences to consumers on mobile.

6. Stears

On a mission to become the world’s most trusted source of African data and insight, Stears leverages domain expertise and technology to build information products for global businesses and professionals, covering various sectors such as financial services, fintech, digital commerce, transport, energy, and agriculture.

Each of these companies specializes in data analytics solutions and may offer unique features and expertise. To determine which one aligns best with your company’s needs, be sure to reach out to them for more information and explore their capabilities.

In conclusion, recognizing the signs that your company could benefit from a data analytics solution is the first step towards making data-driven decisions that can drive growth and efficiency. By partnering with a trusted company, you can unlock the full potential of your data and gain a competitive advantage in today’s fast-paced business environment.

One thing is certain, uncertainty and change are the new norms in business. From economic upheaval and technological advancements to global health crises and environmental challenges, companies face a multitude of factors that can disrupt even the most well-established business models.

In such an environment, building resilience becomes paramount for not just survival, but also for thriving.

Resilience is the ability of an organisation to withstand shocks, adapt to changing circumstances, and bounce back stronger.

It’s not merely about weathering the storm; it’s about using uncertainty as a catalyst for growth. To achieve this, businesses must embrace innovation as a strategic imperative.

Here we explore strategies for building resilient organisations that can navigate uncertainty and change effectively.

Agile decision-making

In a world where information and circumstances change rapidly, the traditional top-down decision-making processes may hinder an organisation’s ability to respond swiftly and effectively.

Agile decision-making, on the other hand, involves a more decentralised approach that empowers employees at all levels to make decisions within their areas of expertise. 

To implement agile decision-making, foster a culture of trust where employees feel comfortable taking calculated risks.

Provide teams with the necessary resources and information to make informed decisions and encourage cross-functional collaboration to ensure that decisions are well-rounded and consider various perspectives.

Also, continuously review and adapt decision-making processes to remain agile in a dynamic environment.

Adaptable processes

Resilient organisations recognise the importance of adaptable processes. They understand that what worked yesterday may not work tomorrow.

To achieve adaptability, regularly assess and streamline processes to identify bottlenecks or inefficiencies. Implement technology solutions that allow for quick adjustments and automation of routine tasks.

Encourage feedback from employees and customers to refine processes based on evolving needs. More importantly, develop contingency plans and scenario-based strategies to address potential disruptions proactively.

Fostering a culture of innovation

Embracing innovation is not just a buzzword; it’s a strategic imperative that enables organisations to navigate change and unlock new opportunities for growth. An innovative culture encourages employees to explore new ideas, experiment, and challenge the status quo.

Create a safe environment where failure is seen as a learning opportunity, not a setback. Also, encourage cross-functional collaboration to bring diverse perspectives to problem-solving.

Companies should invest in employee development and training to cultivate creative thinking. It is critical to recognise and reward innovative ideas and initiatives to motivate employees to contribute actively.

Embrace technology

In an era of digital transformation, technology can be a powerful ally in building resilience.

Cloud computing, data analytics, artificial intelligence, and automation can enhance an organisation’s ability to adapt to change and respond to emerging trends.

Companies should invest in digital tools and platforms that enable remote work and enhance operational flexibility. Leverage data analytics to gain insights into market trends, customer preferences, and internal processes. They should also explore the potential of artificial intelligence and machine learning to automate routine tasks and improve decision-making.

Build strategic partnerships

Collaboration with external partners can enhance an organisation’s resilience by providing access to complementary resources, knowledge, and expertise. Strategic partnerships can help in diversifying supply chains, expanding market reach, and sharing the burden of risk during turbulent times.

Businesses should identify potential partners whose strengths align with their weaknesses.

Establish clear objectives and expectations in partnership agreements. Also, foster strong relationships built on trust and mutual benefit and continuously assess the value and relevance of partnerships as the business landscape evolves.

In conclusion, resilience is not a destination but a journey. Building a resilient business requires a proactive approach that embraces change and innovation as core principles.

By adopting agile decision-making, adaptable processes, fostering a culture of innovation, embracing technology, and building strategic partnerships, businesses can not only navigate uncertainty but also position themselves to thrive amid disruption. The ability to adapt and innovate is the key to building resilience and ensuring long-term success.