2024 and 2025 are looking good for IT services providers – particularly in Asia Pacific. All types of providers – from IT consultants to managed services VARs and systems integrators – will benefit from a few converging events.
However, amidst increasing demand, service providers are also challenged with cost control measures imposed in organisations – and this is heightened by the challenge of finding and retaining their best people as competition for skills intensifies. Providers that service mid-market clients might find it hard to compete and grow without significant process automation to compensate for the higher employee costs.
Why Organisations are Opting for IT Service
- Organisations are seeking further cost reductions. Managed services providers will see more opportunities to take cost and complexity out of organisation’s IT functions. The focus in 2024 will be less on “managing” services and more on “transforming” them using ML, AI, and automation to reduce cost and improve value.
- Big app upgrades are back on the agenda. SAP is going above and beyond to incentivise their customers and partners to migrate their on-premises and hyperscale hosted instances to true cloud ERP. Initiatives such as Rise with SAP have been further expanded and improved to accelerate the transition. Salesforce customers are also looking to streamline their deployments while also taking advantage of the new AI and data capabilities. But many of these projects will still be complex and time-consuming.
- Cloud deployments are getting more complex. For many organisations, the simple cloud migrations are done. This is the stage of replatforming, retiring, and refactoring applications to take advantage of public and hybrid cloud capabilities. These are not simple lift and shift – or switch to SaaS – engagements.
- AI will drive a greater need for process improvement and transformation. This will happen along with associated change management and training programs. While it is still early days for GenAI, before the end of 2024, many organisations will move beyond experimentation to department or enterprise wide GenAI initiatives.
- Increasing cybersecurity and data governance demands will prolong the security skill shortage. More organisations will turn to managed security services providers and cybersecurity consultants to help them develop their strategy and response to the rising threat levels.
Choosing the Right Cost Model for IT Services
Buyers of IT services must implement strict cost-control measures and consider various approaches to align costs with business and customer outcomes, including different cost models:
Fixed-Price Contracts. These contracts set a firm price for the entire project or specific deliverables. Ideal when project scope is clear, they offer budget certainty upfront but demand detailed specifications, potentially leading to higher initial quotes due to the provider assuming more risk.
Time and Materials (T&M) Contracts with Caps. Payment is based on actual time and materials used, with negotiated caps to prevent budget overruns. Combining flexibility with cost predictability, this model offers some control over total expenses.
Performance-Based Pricing. Fees are tied to service provider performance, incentivising achievement of specific KPIs or milestones. This aligns provider interests with client goals, potentially resulting in cost savings and improved service quality.
Retainer Agreements with Scope Limits. Recurring fees are paid for ongoing services, with defined limits on work scope or hours within a given period. This arrangement ensures resource availability while containing expenses, particularly suitable for ongoing support services.
Other Strategies for Cost Efficiency and Effective Management
Technology leaders should also consider implementing some of the following strategies:
Phased Payments. Structuring payments in phases, tied to the completion of project milestones, helps manage cash flow and provides a financial incentive for the service provider to meet deadlines and deliverables. It also allows for regular financial reviews and adjustments if the project scope changes.
Cost Transparency and Itemisation. Detailed billing that itemises the costs of labour, materials, and other expenses provides transparency to verify charges, track spending against the budget, and identify areas for potential savings.
Volume Discounts and Negotiated Rates. Negotiating volume discounts or preferential rates for long-term or large-scale engagements, makes providers to offer reduced rates for a commitment to a certain volume of work or an extended contract duration.
Utilisation of Shared Services or Cloud Solutions. Opting for shared or cloud-based solutions where feasible, offers economies of scale and reduces the need for expensive, dedicated infrastructure and resources.
Regular Review and Adjustment. Conducting regular reviews of the services and expenses with the provider to ensure alignment with the budget and objectives, prepares organisations to adjust the scope, renegotiate terms, or implement cost-saving measures as needed.
Exit Strategy. Planning an exit strategy that include provisions for contract termination, transition services, protects an organisation in case the partnership needs to be dissolved.
Conclusion
Many businesses swing between insourcing and outsourcing technology capabilities – with the recent trend moving towards insourcing development and outsourcing infrastructure to the public cloud. But 2024 will see demand for all types of IT services across nearly every geography and industry. Tech services providers can bring significant value to your business – but improved management, monitoring, and governance will ensure that this value is delivered at a fair cost.
Zurich will be the centre of attention for the Financial and Regulatory industries from June 26th to 28th as it hosts the second edition of the Point Zero Forum. Organised by Elevandi and the Swiss State Secretariat for International Finance, this event serves as a platform to encourage dialogue on policy and technology in Financial Services, with a particular emphasis on adopting transformative technologies and establishing the necessary governance and risk frameworks.
As a knowledge partner, Ecosystm is deeply involved in the Point Zero Forum. Throughout the event, we will actively engage in discussions and closely monitor three key areas: ESG, digital assets, and Responsible AI.
Read on to find out what our leaders — Amit Gupta (CEO, Ecosystm Group), Ullrich Loeffler (CEO and Co-Founder, Ecosystm), and Anubhav Nayyar (Chief Growth Advisor, Ecosystm) — say about why this will be core to building a sustainable and innovative future.
Download ‘Building Synergy Between Policy & Technology’ as a PDF
In my last Ecosystm Insight, I spoke about the 5 strategies that leading CX leaders follow to stay ahead of the curve. Data is at the core of these CX strategies. But a customer data breach can have an enormous financial and reputational impact on a brand.
Here are 12 essential steps to effective governance that will help you unlock the power of customer data.
- Understand data protection laws and regulations
- Create a data governance framework
- Establish data privacy and security policies
- Implement data minimisation
- Ensure data accuracy
- Obtain explicit consent
- Mask, anonymise and pseudonymise data
- Implement strong access controls
- Train employees
- Conduct risk assessments and audits
- Develop a data breach response plan
- Monitor and review
Read on to find out more.
Download ‘A 12-Step Plan for Governance of Customer Data’ as a PDF
In good times and in bad, a great customer experience (CX) differentiates your company from your competitors and creates happy customers who turn into brand advocates. While some organisations in Asia Pacific are just starting out on their CX journey, many have made deep investments. But in the fast-paced world of digital, physical and omnichannel experience improvement, if you stand still, you fall behind.
We interviewed CX leaders across the region, and here are the top 5 top actions that they are taking to stay ahead of the curve.
#1 Better Governance of Customer Data
Most businesses accelerate their CX journeys by collecting and analysing data. They copy data from one channel to another, share data across touchpoints, create data silos to better understand data, and attempt to create a single view of the customer. Without effective governance, every time create copies of customer data are created, moved, and shared with partners, it increases the attack surface of the business. And there is nothing worse than telling customers that their data was accessed, stolen or compromised – and that they need to get a new credit card, driver’s license or passport.
To govern customer data effectively, it is essential to collaborate with different stakeholders, such as legal, risk, IT, and CX leaders – data owners, consumers, and managers, analytics leaders, data owners, and data managers – in the strategy discussions.
#2 Creating Human Experiences
To create a human-centric experience, it is important to understand what humans want. However, given that each brand has different values, the expectations of customers may not always be consistent.
Much of the investment in CX by Asian companies over the past five years have been focused on making transactions easy and effective – but ultimately it is the emotional attachment which brings customers back repeatedly. In creating human experiences, brands create a brand voice that is authentic, relatable, empathetic and is consistent across all channels.
Humanising the experience and brand requires:
- Hyperpersonalisation of customer interactions. By efforts such as using names, understanding location requirements, remembering past purchases, and providing tailored recommendations based on their expectations, businesses can make customers feel valued and understood. Understanding the weather, knowing whether the customer’s favourite team won or lost on the weekend, mentioning an important birthday, etc. can all drive real, human experiences – with or without an actual human involved in the process!
- Transparency. Honesty and transparency can go a long way in building trust with customers. Businesses should be open about their processes, pricing, and policies. Organisations should be transparent about mistakes and what they are doing to fix the problem.
#3 Building Co-creation Opportunities
Co-creation is a collaborative approach where organisations involve their customers in the development and improvement of products, services, and experiences. This process can foster innovation, enhance customer satisfaction, and contribute to long-term business success. Co-creation can increase customer satisfaction and loyalty, drive innovation, enhance brand reputation, boost market relevance, and reduce risks and costs.
Strategies for co-creation include:
- Creating open innovation platforms where customers can submit ideas, feedback, and suggestions
- Organising workshops or focus groups that bring together customers, designers, and developers to brainstorm and generate new ideas
- Running contests or crowdsourcing initiatives to engage customers in problem-solving and idea generation
- Establishing feedback loops and engaging customers in the iterative development process
- Partnering with customers or external stakeholders, such as suppliers or distributors, to co-create new products or services
#4 Collecting Data – But Telling Stories
Organisations use storytelling as a powerful CX tool to connect with their customers, convey their brand values, and build trust.
Here are some ways organisations share stories with their customers:
- Brand storytelling. Creating narratives around their brand that showcase their mission, vision, and values
- Customer testimonials and case studies. Sharing real-life experiences of satisfied customers to showcase the value of a product or service
- Content marketing. Creating engaging content in the form of blog posts, articles, videos, podcasts, and more to educate, entertain, and inform their customers
- Social media. Posting photos, videos, or updates that showcase the brand’s personality, to strengthen relationships with the audience
- Packaging and in-store experiences. Creative packaging and well-designed in-store experiences to tell a brand story and create memorable customer interactions
- Corporate social responsibility (CSR) initiatives. Helping customers understand the values the organisation stands for and build trust
#5 Finally – Not Telling Just Positive Stories!
Many companies focus on telling the good stories: “Here’s what happens when you use our products”; “Our customers are super-successful” and; “Don’t just take it from us, listen to what our customers say.”
But memorable stories are created with contrast – like telling the story of what happened when someone didn’t use the product or service. Successful brands don’t want to just leave the audience with a vision of what could be possible, but also what will be likely if they don’t invest. Advertisers have understood this for years, but customers don’t just hear stories through advertisements – they hear it through social media, word of mouth, traditional media, and from sales and account executives.
Data & AI initiatives are firmly at the core of any organisation’s tech-led transformation efforts. Businesses today realise the value of real-time data insights to deliver the agility that is required to succeed in today’s competitive, and often volatile, market.
But organisations continue to struggle with their data & AI initiatives for a variety of reasons. Organisations in ASEAN report some common challenges in implementing successful data & AI initiatives.
Here are 5 insights to build scalable AI.
- Data Access a Key Stumbling Block. Many organisations find that they no longer need to rely on centralised data repositories.
- Organisations Need Data Creativity. A true data-first organisation derives value from their data & AI investments across the entire organisation, cross-leveraging data.
- Governance Not Built into Organisational Psyche. A data-first organisation needs all employees to have a data-driven mindset. This can only be driven by clear guidelines that are laid out early on and adhered to by data generators, managers, and consumers.
- Lack of End-to-End Data Lifecycle Management. It is critical to have observability, intelligence, and automation built into the entire data lifecycle.
- Democratisation of Data & AI Should Be the Goal. The true value of data & AI solutions will be fully realised when the people who benefit from the solutions are the ones managing the solutions and running the queries that will help them deliver better value to the business.
Read below to find out more.
Download 5 Insights to Help Organisations Build Scalable AI – An ASEAN View as a PDF