IDC

5 Strategies to Propel Business Growth in 2025

In today’s fast-changing business environment, startups and growing tech vendors face unique challenges and opportunities. As we approach 2025, planning for sustainable growth means more than just reacting to industry shifts—it requires a forward-thinking approach. From leveraging technology to fostering innovation, the most successful businesses are those that adapt with a proactive mindset. This blog outlines five essential strategies every startup and growing tech company can use to build resilience, drive growth, and stay competitive in an ever-evolving market.  If you’re ready to equip your business with the tools to thrive, read on to learn how to turn today’s trends into tomorrow’s growth drivers.  1. Embrace Technology to Stay Agile and Scalable  For startups and growing tech vendors, agility and scalability are key to thriving in competitive markets. Advanced technologies like AI, automation, and cloud computing provide powerful tools to streamline operations, reduce costs, and respond quickly to changes. AI-driven automation, for example, can handle repetitive tasks, freeing up teams to focus on innovation and strategy. Cloud infrastructure allows businesses to expand their operations without heavy investment in physical infrastructure, providing the flexibility to scale at pace with demand.  Staying agile doesn’t mean adopting every new tech trend—it’s about identifying use cases that align with your business goals. Consider what tools will help your business scale smoothly and improve productivity without creating complexity. Focusing on high-impact technologies, such as AI for customer support or data analysis, can lead to meaningful improvements in efficiency while ensuring your business remains flexible in a shifting market.  2. Make Data-Driven Decisions  In a competitive market, data is one of the most powerful tools a business can wield. By analyzing customer behavior, market trends, and operational performance, businesses can identify patterns and make more informed choices. Real-time data can help spot emerging opportunities and uncover potential challenges before they escalate, ensuring companies stay one step ahead.  Data-driven decision-making is about turning data into actionable insights. For example, IDC’s data analytics solutions offer startups and growing vendors the ability to harness data for better decision-making. With insights into customer behavior, market trends, and operational metrics, IDC helps companies turn data into strategic advantages. These analytics tools are invaluable for identifying key trends, optimizing resources, and making timely adjustments that fuel growth.  Using data to drive your decisions doesn’t require a complex setup; even basic analytics can reveal valuable insights. For instance, tracking customer engagement metrics can inform your product development or marketing strategies. By continually monitoring performance metrics, you can refine your approach, allocate resources wisely, and make strategic adjustments that align with growth goals.  3. Prioritize Operational Efficiency Without Losing Flexibility  Efficient operations are essential for startups and growing tech vendors, but it’s important to balance this efficiency with flexibility. Streamlining workflows and automating routine tasks can improve productivity, reduce costs, and allow your team to focus on high-value activities. However, maintaining flexibility is equally critical—especially in fast-moving markets where customer needs and industry standards are constantly evolving.  Consider adopting lean practices to enhance productivity while staying adaptable. For example, automating tasks in customer support or logistics can drive efficiency, while maintaining flexible processes lets your team pivot as new opportunities or challenges arise. By regularly assessing and refining your workflows, you can find areas to optimize without sacrificing your business’s ability to respond to changes.  Operational efficiency doesn’t mean rigidity; it means refining processes in a way that enhances agility. This balance of efficiency and adaptability will allow your business to grow sustainably, laying a strong foundation for long-term success.  4. Build a Resilient, Sustainable Business Model  In today’s market, sustainability is not only a regulatory requirement but also a powerful driver of brand loyalty and customer trust. Building a business that prioritizes environmental and social responsibility resonates with today’s consumers and investors alike. For example, IDC predicts that by 2027, 80% of IT buyers will only work with vendors that meet social, environmental, and governance-related responsible AI criteria in accordance with sustainable procurement requirements (IDC FutureScape: Worldwide Sustainability/ESG 2025 Predictions). For startups and new tech vendors, adopting sustainable practices from the outset can become a unique differentiator.  Resilience and sustainability go hand in hand. By incorporating eco-friendly practices, responsible sourcing, or transparent supply chain management, you create a business model that supports longevity. This approach also aligns with regulatory demands that are increasingly focused on sustainability, ensuring your business is prepared for future industry standards.  While sustainability can mean an initial investment, it ultimately leads to cost savings through efficient resource use, reduced waste, and improved brand reputation. By embedding sustainability into your business strategy, you’re not only building a resilient business but also positioning your brand as a leader in an increasingly conscientious market.  5. Cultivate a Culture of Innovation and Growth  For tech startups and growing companies, success hinges on a culture that prioritizes continuous learning, innovation, and personal growth. Companies that invest in developing their talent are better positioned to innovate, adapt, and thrive. This focus on professional growth helps attract top talent while also ensuring that your team has the skills to drive your business forward.  Creating a culture of innovation involves more than just providing training; it requires a commitment to fostering creativity and collaboration. By encouraging your team to explore new ideas, experiment with different approaches, and challenge existing assumptions, you ensure that your team is motivated to contribute to your business’s success.  Moreover, nurturing talent in critical areas like AI, data science, and digital transformation equips your team with the skills to lead in a technology-driven world. As the market changes, having a skilled, forward-thinking workforce will be one of your biggest competitive advantages.  Conclusion The road to sustainable growth requires a proactive, strategic approach. By embracing the right technologies, making data-driven decisions, prioritizing efficiency, building a resilient business model, and fostering a culture of innovation, startups and growing tech vendors can lay the foundation for long-term success.  For a deeper exploration of these strategies, download our eBook, 2025 Business Strategy: A Planning Guide for CEOs

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Beyond Traditional Business Relationship Management

As I frequently discuss with clients, the role of a business relationship manager (BRM) is both essential and elusive. BRMs bridge IT and business functions, ensuring that technology aligns with and propels business objectives. Despite the importance of this role, many organizations struggle to fully leverage their BRMs. They can find the role challenging to define, measure, and elevate beyond a tactical level. BRMs often face the challenge of being too accessible, getting pulled into tactical issues simply because they are available. Recently, a client shared that some of her BRMs were handling help desk tickets because there was no one else to support the teams. This highlighted a broader challenge: BRMs can become bogged down in day-to-day tasks, preventing them from taking on a more strategic, consultative role. This misalignment prevents BRMs from guiding the business in identifying, designing, and deploying technology solutions that could create competitive advantages. How can companies grow their existing BRMs into strategic partners, identify those who may struggle with this evolution, and demonstrate the value of BRMs in a measurable way? One approach I recommend is an annual strategic client partnership plan, which can transform the role of BRMs and provide a framework for ongoing alignment with business objectives. The Strategic Client Partnership Planner The strategic client partnership planner offers a road map for BRMs to elevate their roles, helping them engage in high-level strategic planning while remaining responsive to business needs throughout the year. This planning process is structured around six key areas: 1. Partner Goals and Objectives The first step in building an effective BRM partnership is establishing clear, measurable business goals that the IT strategy will support. By aligning IT efforts with business objectives, BRMs can define how they will contribute to broader organizational success. For example: Partner goal 1: Increase market share by 15% Partner goal 2: Enhance operational efficiency to reduce costs by 10% Partner goal 3: Improve customer satisfaction by 20% by Q4 202x These goals provide a foundation for understanding the business’ strategic priorities and help the BRM identify where technology can make a meaningful impact. 2. Current State Analysis of IT Understanding the current state of IT and its alignment with partner goals is essential for identifying areas for improvement. BRMs should assess how well the organization’s IT capabilities support specific business objectives. For example: Partner goal: Increase market share IT support: Scalable XYZ function but limited scalability in ABC function, which may hinder rapid market expansion This analysis helps BRMs and their business partners pinpoint areas where IT may be falling short and highlight opportunities for targeted improvements that align with business priorities. 3. Defining the Approach Once the goals and current state are understood, BRMs should translate partner goals into concrete IT initiatives. Each goal should be mapped to a specific IT initiative that will support it, along with the relevant technologies required. For example: Partner goal: Enhance customer experience IT initiative: Develop a digital customer feedback platform to monitor satisfaction in real time Technology solutions: Cloud-based analytics, customer relationship management (CRM) software This mapping allows BRMs to move from high-level strategy to actionable initiatives, demonstrating how IT investments directly contribute to achieving business outcomes. 4. Gap Analysis The gap analysis identifies the areas where IT capabilities need to evolve to meet future business requirements. Gaps can include missing skills, outdated technology, ineffective processes, or insufficient governance structures. For example: Gap 1: Lack of integration between CRM and ERP systems, impacting customer insights Gap 2: Outdated data management systems that limit scalability Prioritizing these gaps helps ensure that IT efforts focus on areas that will have the greatest impact on achieving business goals, enabling BRMs to advocate for targeted investments and improvements. 5. Key Initiatives This section identifies and outlines the major IT initiatives that will drive partner goals forward. Each initiative should have an expected timeline and key milestones, allowing the BRM to monitor progress and report on success. For instance: Initiative 1: Cloud migration to improve scalability Expected timeline: Q1 2025 to Q4 2025 Key milestones: Cloud provider selection by Q1 2025, migration completed by Q4 2025 Initiative 2: Digital transformation of customer experience Expected timeline: Q2 2025 to Q1 2026 Key milestones: Launch of customer feedback app by Q3 2025 Defining these initiatives with timelines and milestones enables BRMs to track progress, making it easier to communicate the value of their work to business partners. 6. Communication Plan A strong communication plan is essential for maintaining alignment between IT and business stakeholders. By establishing regular communication touchpoints, BRMs can keep partners informed of progress, address any emerging concerns, and adapt initiatives as needed. For example: Audience: Executive team, IT staff, partner unit leaders Communication frequency: Quarterly updates Communication channels: Email reports, executive presentations Annual, Yet Agile The strategic client partnership planner is an annual process but not a static one. BRMs should monitor the business or competitive landscape for changes that could require adjustments to the plan. By staying engaged throughout the year, BRMs can address shifts, ensuring that IT initiatives remain aligned with business needs and continue to provide value. The role of a BRM is inherently dynamic, bridging the gap between IT and business objectives in a way that creates measurable value. By leveraging a structured planning process, BRMs can elevate their roles, demonstrating their strategic value to their partners while avoiding the common pitfalls of being pulled into tactical tasks. Related Resources: IDC PeerScape: Practices for Successful Business Relationship Management IDC PlanScape: LOB Relationship Management for Future IT source

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Understanding The Digital Regulation Landscape

In September 2024, in California, landmark AI legislation was passed. Among other, this included law AB 2013, which requires that developers provide publicly available information on their websites about training data. On the other hand, Governor Newsom vetoed SB 1047 or the “AI Safety Bill,” which was said to apply overly “stringent standards to even the most basic functions.”   The case of California is just the latest example of how AI-related regulations are taking precedence across the world, from the EU AI Act to the Ministry of AI in Dubai. It also is part of a broader international debate on AI’s impact, and the question of how to balance innovation with ethics. However, it’s not just AI regulations that are making a splash – governments and international organizations are setting standards that span multiple facets of the digital landscape, from privacy protection to fostering a resilient digital economy. But with so many digital regulations across the world, how can companies know which ones are important – especially companies that span multiple jurisdictions? And how should companies deal with these in light of the many elections in 2024 that are already shaping the future?  IDC’s Worldwide Digital Regulation Radar solves this problem (IDC #US523524224). It categorizes digital regulation into four main areas: environmental, data and AI, privacy and security, and digital economy enablement regulations.  IDC’s Worldwide Digital Regulations and Policies Radar  Note: this is not an exhaustive list In the next sections, we’ll take a look at exactly what these categories mean.  Data and AI Regulations  The rapid adoption of artificial intelligence and big data analytics presents complex regulatory challenges. Ensuring that these technologies are used ethically, safely, and transparently is crucial for maintaining public trust and innovation. As examined in AI Regulations and Policies Around the World, 2023, (US#51356423), AI regulations can be currently mapped out loosely on a spectrum. They range from jurisdictions with no regulation to strict regulation, and jurisdictions that legislate AI as a single technology to those that legislate it according to multiple issues/technologies that are addressed as they arise. In Navigating the Fragmented U.S. AI and GenAI Regulatory Landscape, we also outlined some general approaches to the types of laws being implemented in the US. These include:  1. Safe AI: Regulations to ensure the safe development and deployment of AI.  2. Profiling and discrimination: Regulations designed to prevent AI from exacerbating existing biases or creating new forms of discrimination, as well as limiting profiling of consumers.  3. Consumer warning and transparency: Requiring AI developers and companies to specifically warn the consumer of the US of AI or the use of their data.  4. General registration and documentation: Regulation requiring documentation of data, safety measures, registration of AI deployments, etc.  Overall, policymakers are pushing for regulations that hold AI developers accountable for potential biases, errors, and impacts on employment. Governments worldwide are also exploring stricter regulations for data privacy and security, which are closely linked to AI regulations. For example, in India, the Digital Personal Data Protection Act came into effect in September 2023 and has sections directly implicating AI training data sets on top of protecting personal data.  For more information on individual laws, see our Worldwide Regulation Radar and AI Regulations Around the World reports.  Privacy and Security Regulations  As aforementioned, digital privacy and security regulations are some of the most established forms of digital regulation and are strongly linked to AI. They reflect growing public concern over personal data protection, cybersecurity, and the right to privacy in the digital age. These acts are increasingly common around the world. This includes general data protection laws such as the EU’s GDPR and the California Consumer Privacy Act (CCPA). These regulations emphasize user consent, transparency, and individual rights over data ownership.   Many countries have also introduced cybersecurity regulations to safeguard national infrastructure, corporate networks, and personal data from cyber threats. The U.S.’s Cybersecurity Information Sharing Act (CISA) and China’s Cybersecurity Law are examples of national laws that mandate certain security practices for digital infrastructure.  ESG Regulations and Policies   As digital technology expands, so does its carbon footprint. Data centers, AI computation needs, and electronic waste contribute significantly to environmental impact, requiring digital regulations that promote sustainability and environmental responsibility. The EU is leading in sustainability disclosures with the Corporate Sustainability Reporting Directive (CSRD) and Sustainable Finance Disclosure Regulation (SFDR). We therefore see many countries around the world following this, for example with stock exchange disclosures and reporting mandates. Governments are also creating legislation to support better energy policy, management of waste, and more.   Digital Economy Enablement  Digital economy enablement regulations focus on promoting technological infrastructure, innovation, and competitiveness in the digital space. These include incentives, subsidies, and policies that support the growth and sustainability of the digital economy. For a more comprehensive list of incentives, take a look at The Digital States – Part 1, 2024: What Government-Supported Investment Opportunities Exist for the Technology Market? (US#51025223). Some key types of digital incentives include:  5G and Network Infrastructure Promotion: 5G technology is critical for advancing connectivity and enabling new digital services. Countries such as South Korea, the U.S., and China have enacted policies to accelerate 5G rollout through spectrum allocation, subsidies, and grants for telecommunications providers.  Semiconductor and Tech Manufacturing Subsidies: In response to global supply chain disruptions, countries are investing in domestic semiconductor manufacturing. The U.S. CHIPS Act, for instance, provides subsidies and incentives to reduce reliance on foreign-made chips and bolster domestic tech production.  Digital Startups and Innovation Funds: Governments often support the digital economy by fostering startup ecosystems and innovation hubs. For example, India’s Digital India Initiative provides funding, tax breaks, and incubator programs to encourage digital innovation and entrepreneurship.  International Trade Agreements for Digital Products: Many trade agreements, such as the Digital Economy Partnership Agreement (DEPA) between Chile, New Zealand, and Singapore, facilitate cross-border data flow, digital services, and e-commerce, making it easier for digital companies to operate internationally. This will be covered in-depth in Digital Economy Strategies’ upcoming report on digital

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3 Reasons Third-Party Content Should Be Part of Every Growing Tech Vendor’s Strategy

As a growing tech vendor, gaining traction in a competitive marketplace can be a daunting challenge. While creating in-house content is crucial for brand visibility, there’s another powerful tool that can significantly enhance your credibility and market positioning: third-party content. Independent, expert-driven insights like analyst briefs, whitepapers, and industry reports offer an unbiased, authoritative perspective that customers trust, helping you stand out from the competition. In this blog, we’ll explore three reasons why third-party content matters for growing tech vendors and provide actionable tips on how best to use it to drive growth. 1. Builds Trust and Credibility One of the biggest hurdles for emerging tech vendors is building trust with customers and investors. No matter how strong your product or service is, buyers are often skeptical of vendor-authored content because they understand it ultimately serves your interests. This is where third-party content, such as analyst briefs or independent whitepapers, becomes invaluable. Independent analysts and research firms like IDC have earned reputations for providing impartial, data-backed insights. By leveraging content from these sources, you align your brand with trusted voices, lending credibility to your solutions and establishing a stronger position in the market. Customers are more likely to trust your offering when it’s supported by an unbiased, expert perspective. How to Use It: Reference third-party reports and data points in your blog posts, case studies, and sales presentations to add weight to your claims. Use analyst-backed insights to create a more compelling narrative in your marketing campaigns, positioning your product within the broader market context. Promote whitepapers or reports on your website as gated content to attract leads, showcasing your company’s alignment with industry trends. Example:When launching a new product, reference findings from a relevant IDC report that validates your solution’s importance within your niche. Incorporating trusted data helps position your offering as a solution to real market needs, easing the buyer’s decision-making process. 2. Enhances Your Go-to-Market Strategy In a fast-paced tech landscape, staying ahead of emerging trends is essential for creating a strong go-to-market strategy. Third-party content provides valuable insights into market dynamics, competitive landscapes, and customer behavior, helping you make informed decisions. Analyst reports and industry studies can reveal growth opportunities, identify potential challenges, and offer strategic recommendations that align with where the market is heading. By leveraging these insights, you can fine-tune your go-to-market approach, ensuring your product or service is positioned to meet current and future demand. Whether you’re entering a new market, launching a new feature, or refining your sales approach, third-party content gives you the context and data needed to make informed, strategic moves. How to Use It: Integrate analyst predictions into your product development roadmap, ensuring your offerings are aligned with future market trends. Use insights from industry reports to identify growth opportunities or untapped customer segments. Incorporate findings into pitch decks or investor presentations, highlighting how your company is staying ahead of the curve. Example:A growing SaaS company can leverage IDC market reports to refine its product roadmap, ensuring that features being developed align with customer needs and anticipated market shifts. By using these reports to guide product development, the company stays competitive and relevant as customer demands evolve. 3. Differentiates You from Competitors In crowded tech markets, differentiation is key to standing out. While every vendor can create content promoting their product, third-party content provides an extra layer of differentiation. It offers an independent, trusted perspective that helps validate your position and sets you apart from competitors who may only rely on self-promotion. By backing your claims with third-party reports and analysis, you strengthen your value proposition and present a more balanced, credible view of your solution. Moreover, independent content can highlight your unique strengths or competitive advantages in a way that resonates with buyers. For instance, an analyst report that highlights emerging trends can help position your product as a cutting-edge solution, differentiating you from competitors who aren’t addressing the same needs. How to Use It: Use third-party comparisons or reviews from analyst firms to demonstrate how your solution outperforms competitors. Reference independent content in product launches or feature announcements to highlight why your offering stands out in the marketplace. Share third-party reports that showcase your company’s alignment with market trends, positioning yourself as an industry leader. Example:When launching a product update, include a relevant IDC report that shows why your solution addresses the latest market trends. Use this to highlight your forward-thinking approach and differentiate your product from competitors who aren’t keeping pace with these changes. How to Maximize the Value of Third-Party Content To get the most out of third-party content, it’s important to use it strategically across multiple channels. Here are some best practices to ensure you’re maximizing its impact: Repurpose Content Across Platforms: Turn a single analyst report into multiple pieces of content, such as blog posts, infographics, and social media snippets. Repurposing allows you to reach different audience segments while making the most of your content investment. Use It in Lead Generation Campaigns: Third-party content is often seen as more trustworthy, making it highly effective for lead generation. Offer whitepapers or reports as gated content, attracting high-quality leads who are seeking unbiased, expert insights. Incorporate It into Sales Conversations: Equip your sales team with third-party reports and whitepapers to help them build trust with potential clients. These materials can strengthen your sales pitch by providing a neutral perspective that validates your solution. Cite It in Thought Leadership: Align your brand with independent, trusted voices by referencing third-party content in webinars, blog posts, and thought leadership articles. This not only enhances your credibility but also helps position your company as an informed industry player. Conclusion For early-stage to mid-market tech vendors, building credibility and driving growth relies on increasing market awareness, generating leads, and capturing investor attention. Third-party content, such as analyst reports and whitepapers, is a powerful tool to help you achieve these goals. By partnering with a respected analyst firm, you gain independent validation that enhances your brand’s visibility and builds trust

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IT’s Communication Struggle – How Dashboards Make a Difference

It’s more important than ever for IT and business teams to be on the same page. Yet, many organizations struggle with a communication gap between these two groups. Why is this such a common issue? And how can dashboards be the bridge to solve it? Let’s break it down. The Communication Gap Between IT and Business 1. Misaligned Objectives – One of the biggest reasons IT and business teams struggle to communicate is that they often have very different goals. IT tends to focus on metrics like system uptime, network performance, and cybersecurity. Meanwhile, the business side is more interested in things like revenue growth, customer satisfaction, and market share. With both teams speaking different “languages,” it’s no surprise that they often end up talking past each other, leading to misaligned priorities. 2. Too Much Jargon – Let’s be honest: IT can be a jargon-heavy world. Terms like “network latency” or “data redundancy” are second nature to IT professionals but can sound like gibberish to someone on the business side. Business leaders need information that directly ties into business outcomes—not a lesson in technical terminology. When served this jargon ridden reporting, it reinforce the business perception of IT as a back office function disconnected from a leadership role in the organization. 3. Too Long; Didn’t Read (TLDR) – I recently reviewed a client dashboard where the CIO had 10 minutes to report in the monthly management review meeting IT. It was ten, very detailed, slides. Realistically, there wasn’t sufficient time in 10 minutes to cover even 2-3 slides, and the key business concern – are we on progress to deliver to the business strategy was never addressed succinctly. That answer had to be read from multiple different slides. 4. Why Should I Care – IT reports are often dense with technical data but lack business context. A report on server downtime, for instance, may not explain how that downtime is affecting customer experience or revenue. Without that essential context, it’s hard for business leaders to grasp the true impact of what’s going on in IT, which leads to less informed decision-making. I recently saw a client report which reported on “94% deflection” – a business user would not understand what that meant or even care! The Role of Effective Dashboards So, what’s the fix? One key solution lies in effective dashboards that can translate complex IT data into business-relevant insights. When done right, dashboards can serve as a powerful tool to bridge the communication gap. How Dashboards Help Bridging the Gap: Dashboards translate technical metrics into business insights. Instead of presenting a laundry list of technical KPIs, dashboards present data in a way that aligns with business goals—making it easier for business leaders to understand how IT performance affects them. Key Features of an Effective Dashboard Clarity and Simplicity: A dashboard should be clean and easy to understand. Focus on the most critical metrics and strip away unnecessary data clutter. Less is more when it comes to business-facing dashboards. In my previous example with the 10-slide presentation, I asked the team a straightforward question about the four strategic initiatives: are they on schedule or behind? The response was that three were on track, and one was delayed. However, I only found this out by asking directly—there was no clear indicator, like a simple green, amber, or red flag, to make this status immediately visible. This was the base-level information that the business wanted to know at a glance. Contextual Information: Data is useful, but not sufficient. People need to understand why the data matters. How does what is being reported impact them? Visual Appeal: “People eat with their eyes, not just their mouths,” means it’s got to look good too. Charts, graphs, and colors can make complex data easier. A well-designed dashboard helps non-technical users understand key information. Know Your Audience: A dashboard should be tailored to the specific needs of its audience. Different stakeholders—executives, department heads, or IT managers—need differing levels of detail and focus. For example, a high-level executive might want a quick overview of strategic KPIs, while a department manager may need more granular data on operational performance. Understanding who will be using the dashboard helps ensure it presents the right information in the right format. Often, I see IT departments presenting what THEY feel is important at the expense of what their audience actually cares about. Understand What Outcome You Are Trying to Get: A dashboard is not just a tool for presenting data—it’s a form of marketing from which IT hopes to achieve a beneficial outcome. Whether the goal is to gain executive buy-in, influence decisions, or highlight the value IT brings to the business, the dashboard should be designed with this in mind. It’s about showcasing IT’s impact in a way that drives action, whether that means securing more resources, aligning priorities, or improving collaboration. By understanding what outcome you’re trying to achieve, you can ensure the dashboard tells the right story and promotes the desired business result. Any opportunity to communicate with the business is an opportunity to reinforce that IT is a strategic business partner and not simply bits and bytes. Types of Dashboards 1. Strategic Dashboards: Designed for executives, these dashboards present high-level metrics that are directly tied to business objectives priorities, and strategies, but don’t forget to call out successes. 2. Tactical Dashboards: These are meant for middle managers who are overseeing specific projects or departments. They offer a more detailed look at operations but still focus on IT performance or OKRs. 3. Operational Dashboards: Used by IT teams, operational dashboards monitor day-to-day technical metrics like system health and security. While these dashboards are more technical, they can be connected to business goals when integrated into the larger dashboard framework. Conclusion IT and business alignment is critical for an organization’s success, yet it’s an area where many organizations fail. By addressing the root causes of the communication gap—complexity, jargon, lack of context, TLDR, etc.—and implementing dashboards that speak directly

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Storm Clouds Ahead: Missed Expectations in Cloud Computing

Cloud computing has been heralded as the panacea for modern IT challenges, promising scalability, flexibility, and cost savings. However, as the cloud landscape matures, many organizations are finding that the reality of cloud adoption does not always align with their expectations. This has led to a growing trend of repatriating workloads back to on-premises or private cloud environments. In this article, we will explore the reasons behind these missed expectations and why some businesses are choosing to bring their cloud workloads back home. The Promise vs. Reality of Cloud Computing Cost Overruns One of the primary drivers for cloud adoption has been the promise of cost savings. However, many organizations are finding that their cloud spending is exceeding initial estimates. According to IDC’s Cloud Pulse 4Q 2023 survey, close to half of cloud buyers spent more on cloud than they expected in 2023, with 59% anticipating similar overruns in 2024. The complexities of cloud environments, coupled with unforeseen external influences, make it challenging to forecast costs accurately. Factors such as the increasing cost of third-party services, energy costs, and the financial implications of new technologies like GenAI are contributing to these budget blowouts. Performance and Latency Issues While cloud providers offer robust infrastructure, not all workloads are suited for the cloud. Performance and latency issues are common complaints, particularly for applications that require real-time processing or have stringent performance requirements. For instance, technical and AI-related workloads often experience performance bottlenecks in public cloud environments, prompting organizations to consider repatriation. Security and Compliance Concerns Data security and regulatory compliance are critical considerations for any organization. Despite the advanced security measures offered by cloud providers, many businesses remain concerned about data breaches and compliance with industry regulations. This is particularly true for sectors like finance and healthcare, where data privacy is paramount. As a result, production data and backup/disaster recovery processes are among the most repatriated elements of workloads. Complexity in Management Managing a multi-cloud or hybrid cloud environment can be incredibly complex. Organizations often struggle with integrating different cloud services, managing data across multiple platforms, and ensuring consistent security policies. This complexity can negate the perceived benefits of cloud adoption, leading some businesses to reconsider their cloud strategies. The Repatriation Trend What is Repatriation? Repatriation refers to the process of moving workloads from public cloud environments back to on-premises or private cloud infrastructure. This trend is part of a broader industry movement towards hybrid multi-cloud IT strategies, where organizations seek to optimize their workload placement across various environments. Drivers for Repatriation Several factors drive the decision to repatriate workloads: Cost Management: As mentioned earlier, unexpected cost overruns in the cloud can make on-premises solutions more attractive. By repatriating workloads, organizations can gain better control over their IT spending. Performance Optimization: For workloads that require high performance and low latency, on-premises infrastructure can offer superior performance compared to public cloud environments. Security and Compliance: Repatriating sensitive data and critical applications can help organizations meet stringent security and compliance requirements more effectively. Operational Control: Having workloads on-premises allows for greater control over IT operations, enabling organizations to tailor their infrastructure to specific needs and optimize resource utilization. The Scale of Repatriation While repatriation is a growing trend, it is not a wholesale migration. According to IDC’s Server and Storage Workloads Survey, only 8-9% of companies plan full workload repatriation. Instead, most organizations repatriate specific elements of their workloads, such as production data, backup processes, and compute resources. Larger Organizations Leading the Way Larger organizations are more active in repatriating workloads compared to smaller businesses. This is due to their greater resources, larger workloads, and more complex IT environments. Economic factors and comprehensive workload strategies also play a role in driving repatriation activities among large enterprises. Conclusion The initial promise of cloud computing has not been fully realized for many organizations, leading to missed expectations and a growing trend of workload repatriation. Cost overruns, performance issues, security concerns, and management complexities are some of the key factors driving this shift. While the cloud remains a vital component of modern IT strategies, businesses are increasingly adopting a hybrid approach, optimizing their workload placement across public cloud, private cloud, and on-premises environments. As the cloud landscape continues to evolve, organizations must carefully assess their cloud strategies, balancing the benefits of cloud adoption with the realities of their specific needs and challenges. By doing so, they can make informed decisions about where to best deploy their workloads, ensuring they achieve the desired outcomes without compromising on cost, performance, or security. References: IDC #US52018924 (April 2024), “Why Are So Many Cloud Buyers Blowing Their Cloud Budgets?” IDC #US50858223 (June 2023), “Larger Organizations Show Greater Activity in Repatriating Compute Resources from Public Cloud” IDC #US51930724 (March 2024), “Data, Compute, or Development Process — What Elements of Workloads Companies Repatriate More Often” IDC #US50779123 (June 2023), “Enterprises of Different Sizes Show Similar Levels of Interest in Repatriating Storage Resources from the Public Cloud” source

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The Future of Smart Rings

As many casual tech observers might have recently seen, Samsung released a new device type at their latest Unpacked event (July 10th): the “Samsung Galaxy Ring”. This signals a shift in the Smart Ring space. The Smart Ring space is currently dominated by Smart Ring producing specialists like Oura and Ultrahuman but now the larger brands are beginning to compete by incorporating rings into their existing ecosystems of devices. It also potentially marks the shift from Smart Rings being a small segment of the wearables technology landscape to becoming a main stay in the space. In the last full year of data, 2023, IDC recorded Global Ring sales of 880,000 units, with Oura representing 80% and Ultrahuman in second with 12%. We are forecasting this to rise to 1.7 million in 2024 and 3.2 million in 2028, equating to a year-over-year growth rate of 29.5%. For comparison, the total global Smartwatch sales in 2023 were roughly 161 million devices, forecasted to rise to 175 million by 2028, an average year-over-year growth rate of 1.7%. This reflects the greater maturity of the Smartwatch market and the lengthening replacement cycles of Smartwatches as the upgrades become more iterative. So, for now, Smart Rings will be a small but fast-growing part of the wearable device market. Get access to the latest performance data for the wearables market—including Smart Rings and Smartwatches—with IDC’s Wearables Devices Tracker. You can learn more about the product with this resource or see the data in action and explore more sample insights here. The early reception of the new Galaxy Ring appears to be one of moderate interest, with consumers seemingly liking the new form factor the ring offers. The ring form does have a distinct advantage of being more sleek and less obtrusive than Smartwatches, which is especially significant when sleep tracking. Many Smartwatch wearers dislike wearing a watch to bed but would think nothing of keeping their rings on. There is also a subset of consumers, especially those with smaller wrists, that dislike wearing bulky Smartwatches like those offered by Apple and Samsung. Some brands, such as Garmin, do offer female specific slimmer designs with the Lily range of watches, but the ring format might be another option. We also have a significant section of the population who prefer the premium Analog watches, like your Rolex or Omegas. From conversations in the industry, it is clear that many of the large players within the wearable devices space are watching Samsung Ring sales with interest, and are exploring the possibility of producing their own Smart Rings. So should the Galaxy Ring prove to be a success we will likely see many other players jumping into the market, like we saw with the release of the first Apple Smartwatches . The Substitution Problem Unfortunately for the Wearables market as a whole, Smart Rings look set to compete directly with Smartwatches as many of the features they offer are directly comparable. Take the Galaxy Ring, for example, offering sleep tracking, heart rate monitoring, activity tracking and wellness monitoring. These are all things offered by their Galaxy line of watches, and whilst Samsung has discussed their watches and Ring working together saying “Wearing the Galaxy Ring with a Galaxy watch, … will maximize its shared health features while also extending the Ring’s battery life”. From a consumer’s point of view, given the release price of the Samsung ring was $400 and a medium spec Galaxy watch can set you back the same amount; it leads us to question just how many consumers will have $800 burning a hole in their pockets, and a desire to get two devices that do essentially the same thing. Though the Galaxy Ring is priced comparably to its biggest competitor, Oura’s Ring 4, which has a base model price of $349, but requires a monthly $5.99 subscription.  Samsung, as of now, hasn’t made any announcements of subscriptions being needed. So, it appears inevitable that in the medium to long run Smart Rings will eat into the Smartwatch share of the wearables market. The extent to which they do so is yet to be determined, and there will undoubtedly be people out there who wouldn’t have bought a Smartwatch but will buy a Smart Ring. Conclusions Smart Rings are a device type that has the potential to flourish in the next few years; the extent to which it does will be determined by the number of big players that launch their own rings and if the largely positive reception continues. But as Smart Rings flourish, we will likely see that these wearable makers are, to some extent, taking market share from themselves. As their own Smart Ring sales rise their Smartwatch sales will likely fall. That all being said, bring on the Smart Ring revolution. source

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Retail Reinvention in the AI Era: Part 2

The path to enabling omnichannel business has required continual evolution that included adding net new applications and systems, evolving through digital transformation, AI and mobile everywhere, to the current era of Generative AI (GenAI) and intelligent edge computing. Now the industry is on a journey to becoming future-forward, autonomous, and resilient (FAR), leveraging AI and GenAI to take retail reinvention even farther. Let’s explore how retailers can continue to improve on omnichannel by focusing on the customer, with the most efficient product flows and engaging employee experiences in mind. The path from Omnichannel to FAR is continuous and ongoing as illustrated in the following graphic. GenAI and Intelligent Edge Computing: Pioneering FAR The current era of AI-everywhere underpins FAR, and requires an exploration of GenAI’s potential, coupled with investment in intelligent edge computing. Software investments are increasingly directed towards GenAI platforms capable of creating personalized content, designing new products, and enhancing customer service with sophisticated chatbots/virtual assistants. Hardware investments now focus on high-performance computing systems to support the demanding requirements of GenAI algorithms. Distributed edge platforms, AI PC’s and AI-chips will improve compute response, throughput and efficiency. This will make AI at the edge very possible in stores. Services are evolving to include ethical AI consulting, ensuring that the use of GenAI aligns with privacy and fairness standards. The supply chain is experiencing a revolution with AI-driven predictive analytics, autonomous systems, and real-time tracking. RFID mandates from a relatively short, but very important list of retailers will drive traceability and improved inventory control in non-food products. The frontline workforce will benefit as the focus on serving customers well is prioritized as routine tasks are automated. Advice for Continuing to Navigate the Journey to FAR The reinvention of retail in the AI era is a testament to the industry’s resilience and adaptability. It promises a future where retail experiences are not only more engaging and convenient but also where back-office efficiencies, the supply chain and frontline workforce play a crucial role in delivering value through a blend of technology and human touch. In an era marked by rapid technological advancements and shifting consumer expectations, retailers face the imperative to evolve. Retailers need to embrace becoming future forward, autonomous and resilient. FAR transformation is not just an ambition but a necessity for thriving in the competitive landscape. Following are recommendations for retailers aiming to navigate the journey to FAR successfully: Become Future-Forward by Embracing Technological Innovation Invest in AI, Machine Learning, and GenAI – Leverage AI, machine learning (ML), and GenAI to enhance every aspect of your business, from personalized customer experiences to efficient supply chain management. GenAI can revolutionize customer experiences, human resource and finance operations, IT estate management, product design and content creation. Predictive analytics can forecast trends and optimize inventory planning and sourcing. Importantly, workflow and work processes are being revolutionized with the help of GenAI, with near-term ROI possible. Adopt Intelligent Edge Computing – Implement intelligent edge computing to process data closer to where it is generated, reducing latency and improving customer experiences. This technology supports real-time decision-making in areas like inventory management, loss prevention, and personalized in-store promotions. Explore Traceability Applications – Utilize traceability applications to enhance supply chain transparency and security. This can build trust with consumers by providing verifiable information about product origins, manufacturing processes, and sustainability practices. Become Autonomous Through Decentralization and Automation Empower the Workforce – Empower your frontline employees with the tools and authority to make decisions in real-time, enhancing customer service and operational efficiency. This can be supported by AI-driven insights and mobile technologies. Empower the back-office and mid-office with tools that speed decision processes in planning, human resources, finance, and operations. Robotic process automation (RPA) can eliminate unnecessary steps in business processes. Implement Autonomous Systems – Deploy autonomous systems, such as automated warehouse and distribution capabilities, and autonomous delivery vehicles and drones, to streamline operations and reduce reliance on manual processes. This not only improves efficiency but also allows your workforce to focus on higher-value tasks.  Become Resilient Diversify Supply Chains – Build resilience by diversifying your supply chain, reducing dependency on single sources, and exploring local or regional suppliers. This can mitigate risks related to geopolitical tensions, natural disasters, and global pandemics. Develop a Robust Digital Infrastructure – Ensure your digital infrastructure is robust, scalable, and secure. This includes investing in cloud computing, cybersecurity measures, and disaster recovery plans to safeguard against data breaches and ensure business continuity. Foster Strong Relationships with Customers and Partners – Build strong relationships with your customers and business partners. Engage with customers through personalized experiences and responsive customer service. Collaborate with partners to innovate and co-create value. The retail industry’s journey highlights a broader trend towards a FAR transformation. Retailers are leveraging AI to create immersive, efficient, and tailored shopping experiences while ensuring their supply chain and frontline workforce are equipped to thrive in this new landscape. Retail organizational DNA needs to adapt to continuously learning and adapting to consumer needs by leveraging a technological foundation that is inherently smarter and nimbler. Conclusion The journey from the dawn of omnichannel to the FAR era reflects a broader trend towards increasingly sophisticated and adaptable, data-driven, automated, and personalized retail experiences. As technology continues to advance, the challenge for retailers will be to balance investment in innovation with the need to deliver tangible value to consumers. The evolution of retail investments tells the story of an industry in constant flux, striving to meet the ever-changing demands of consumers in an increasingly digital world. As technology continues to advance, the possibilities for retail are endless. The integration of AI into retail operations has transitioned from a competitive advantage to a necessity, with significant impacts to technology investment, business processes, and the workforce. Becoming future-forward, autonomous, and resilient requires a holistic approach that encompasses technological innovation, cultural transformation, and strategic partnerships. By embracing these principles, retailers can navigate the challenges of the digital era, meet evolving consumer expectations, and secure a competitive edge in the marketplace.

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Retail Reinvention in the AI Era

The retail industry has been on a transformative journey since the dawn of omnichannel in 2009, evolving through digital transformation, AI and mobile everywhere, to the current era of Generative AI and intelligent edge computing. This evolution has not only reshaped retail software, hardware, and services investments but also significantly impacted the supply chain and frontline workforce. The industry is on a journey to becoming future-forward, autonomous, and resilient (FAR), leveraging AI and GenAI to take retail reinvention even farther. Let’s explore this comprehensive transformation and its implications for the future of retail. Retailers can continue to improve on omnichannel by focusing on the customer, with the most efficient product flows and engaging employee experiences in mind. The path from Omnichannel to FAR is continuous and ongoing as illustrated in the following graphic. The birth of Omnichannel I am often credited with coining the term “omnichannel”, which was discussed internally at IDC in late 2008 but published in publicly available editorials in 2009 (RIS News and Chain Store Age). Omnichannel encapsulates a vision for a shopping experience that transcends traditional channel boundaries. This concept emerged from the recognition that consumers were no longer shopping in silos but were instead leveraging multiple channels simultaneously to make informed purchasing decisions. At its core, omnichannel retailing is about creating a cohesive customer experience across all available shopping channels, including in-store, online, mobile, and social media. This approach is designed to meet the customer where they are, providing flexibility and convenience at every touchpoint. Technology serves as the backbone of this new retail reality, enabling consumers to navigate through different channels seamlessly. Retailers leveraging cloud, AI, and mobile technologies are better positioned to offer these integrated experiences, thereby not only meeting but exceeding customer expectations. The implications of this shift are profound. Omnichannel shoppers tend to spend 15-30% more than those who shop via a single channel. Moreover, their loyalty extends beyond mere transactions, influencing others in their network and contributing to a positive brand perception. Retailers that recognize and adapt to this behavior stand to gain significantly in terms of customer loyalty and spending. Omnichannel shoppers are the majority with 77.4% reporting that they actively shop in stores and online (IDC Retail Insights Consumer Sentiment Survey, June 2024). Add shopping within social media apps to the mix and omnichannel influence is even greater. The Dawn of Omnichannel: Laying the Foundation In 2009, the retail industry began to embrace the omnichannel approach, aiming to provide a seamless shopping experience across online and offline channels. Initial investments focused on software solutions for integrating these channels, such as eCommerce platforms and Customer Relationship Management (CRM) systems. Hardware investments aimed at enhancing the in-store experience with upgraded Point of Sale (POS) systems and in-store Wi-Fi. The supply chain saw the beginning of digital tracking systems, while the frontline workforce had to adapt to new technologies, requiring training and adjustments in their roles. Digital Transformation: Expanding Capabilities As the decade progressed, the focus shifted towards digital transformation, necessitating a broader range of investments. Retailers poured resources into developing mobile apps and optimizing websites for mobile shopping, recognizing the growing trend of smartphone usage. Cloud computing services became essential, offering the scalability needed to handle increasing online traffic and data storage. Hardware investments expanded to include ruggedized- and consumer- mobile devices and tablets for sales assistants and interactive kiosks to enrich the in-store experience.  The supply chain benefited from investments in digital planning and logistics platforms, improving efficiency and visibility. The frontline workforce faced the challenge of integrating digital tools into their daily operations, necessitating ongoing training, and unleashing a desire to be connected to information to improve customer service. The era also saw a rise in cybersecurity investments, protecting the vast amounts of consumer data being collected. Regulations started emerging that require that retailers give Consumers choice in what and when data is collected with the ability to request that the data is not shared and/or deleted. AI and Mobile Everywhere: Enhancing Operations and Improving Profitability The late 2010s marked the maturation of the “AI and Mobile Everywhere” era, and the 2020 pandemic accelerated investment in touch-free technologies and flexible last-mile and omnichannel order orchestration capabilities. Retailers started integrating AI across various operations, from personalized recommendations, product assortments, pricing, and promotions, to inventory management. Data management and governance was prioritized as retailers sought to centralize one version of the truth for customer data (in CDP’s), product data (in MDM’s and / or PIM’s), and inventory data (in a central repository (ERP, WMS, or Merch Planning) supporting merchandising, supply chain, and commerce applications).   Hardware investments included AI-enabled cameras and sensors for inventory tracking and customer movement analysis within stores. Services expanded to include AI training for employees and partnerships with AI technology providers to develop custom solutions. This era emphasized the importance of data analytics, with significant investments in tools to analyze consumer behavior and preferences The supply chain saw the introduction of AI for predictive analytics and autonomous vehicles and drones for delivery. Investments in AI-powered software solutions surged, alongside the adoption of integrated mobile technologies for enhanced customer engagement. The frontline workforce began to depend on AI and mobile tools for better customer service and workforce management self-service, improving experiences for the customer and workforce. Generative AI and Intelligent Edge Computing The exploration of Generative AI’s potential, coupled with advancements in intelligent edge computing, represents the latest phase in retail’s evolution. Software investments are increasingly directed towards Generative AI platforms capable of creating personalized content, designing new products, and enhancing customer service with sophisticated chatbots/virtual assistants. Hardware investments now focus on high-performance computing systems to support the demanding requirements of Generative AI algorithms. Distributed edge platforms, AI PC’s and AI-chips will improve compute response, throughput and efficiency, making AI at the edge very possible in stores. Services are evolving to include ethical AI consulting, ensuring that the use of Generative AI aligns with privacy and fairness standards. The supply chain is experiencing a revolution with AI-driven

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