TreeHive Strategy

?? The True Impact of ESG: Measuring What Matters ?? Many enterprises I talk with feel increasing pressure to demonstrate their commitment to Environmental, Social, and Governance (ESG) initiatives. Some of this pressure comes internally, or from investors; some from regulation; but most of all, the pressure comes from customers and clients who expect greater transparency and more insight on ESG matters. As a result, most enterprises put in place some sort of ESG program, but how do you really measure the impact of any efforts? I have recently written about ESG quite extensively for TechTarget and four key themes emerge. 1?? You need the right metrics: Choose metrics that reflect your company’s values and stakeholder priorities. Compliance with regulations isn't enough – it’s about aligning ESG with business strategy and ethos. 2?? Data Quality: The old old problem. Your efforts to measure ESG, like measuring anything else, is only as good as the data you collect. Focus on building a solid foundation of accurate, reliable, and timely information. 3?? A Framework is Crucial: Managing ESG data can be daunting with varying standards and siloed information. You need a structure to work with: ad-hoc reporting is not going to be enough. 4?? Adaptive Strategies: ESG is not a “set it and forget it” effort. Regularly revisit your goals and adapt to changing regulations and market expectations. Check out my articles on measuring ESG performance and strategies: ESG metrics: Tips and examples for measuring ESG performance ESG metrics measure performance on environmental, social and governance issues. Here's how they can benefit companies, plus tips on using them effectively. https://lnkd.in/gSE-Z94F ESG risks explained: Examples and tips on managing them Organizations face various business risks related to environmental, social and governance issues. These are notable ones, with advice on how to manage them. https://lnkd.in/g_D4QiKm 5 top ESG reporting challenges and how to overcome them Organizations face various challenges in reporting on their environmental, social and governance initiatives. Here are five critical ones ESG teams should know about. https://lnkd.in/gXjm_z8z If this is a topic for you, let's connect! #ESG #Sustainability #DataQuality #DataGovernance #BusinessStrategy #SustainableBusiness #ImpactMeasurement

?? From Hype to Hands-On: A Free 30-Minute AI Workshop ?? Over the past few months, I've received so many inquiries about how to get started with AI in business, it's getting difficult to schedule them! ??The interest is on fire, but so is the uncertainty. There's excitement about the possibilities of AI for efficiency and innovation, along with that familiar fear of missing out. You can't afford to be left behind. ?? But ... what about the skills, the cost, the risks? Those concerns hold back too many people. ?? That's why I decided to tackle the main points in a FREE monthly workshop: From Hype to Hands-On. In just 30 packed minutes, I'll cut through the hype, address common anxieties, show you a compelling demo of what you can achieve, and explore how to identify practical, high-ROI, quick-win AI projects. ?? I run the workshop three times a month, suitable for US, European and APAC time zones. Book your spot now and feel free to choose the time that works for you: https://lnkd.in/gY8WBVrS ?? Discover how one business got their AI project prototyped in just one day and successful in a week.? ?? Learn the TASTER framework to spot quick wins in your organization.? ?? Get practical tips to bring home the ROI and plan your journey from experiment to production. #AI #BusinessInnovation #AIWorkshops #DataStrategy

Many organizations I talk to are struggling to integrate AI across departments. It's a familiar story in data management, now recurring with AI: multiple tools, fragmented data, and inconsistent workflows, all make it hard to scale. One approach, which has seen some success is a central AI hub and in this article for TechTarget, I look at how a hub can help:? - Consolidating AI tools and resources into a single platform for easier management.? - Improving collaboration between teams by sharing models, data, and insights across departments.? - Standardizing workflows and governance to help with compliance and efficiency. #AIIntegration #EnterpriseAI #ArtificialIntelligence #DataGovernance https://lnkd.in/gJXuHCdb

Data governance is not enough. When regulations worldwide emphasize the data subjects' right to restrict usage, we also need to govern the usage of data - in particular, analytics. In short, we need Analytics Governance. Organizations are investing heavily in analytics—but few realize that analytics without governance can create more problems than solutions. In this article for TechTarget, I explain why analytics governance is essential for driving reliable, trustworthy insights. Key points include:? - Establishing clear ownership and accountability for analytics processes.? - Defining data standards and policies to ensure consistency and accuracy across reports.? - Aligning analytics goals with business objectives to make sure you’re solving the right problems. Without governance, even the most advanced analytics tools can lead to conflicting results and misinformed decisions. #AnalyticsGovernance #DataGovernance #BusinessIntelligence #DataDriven #DataQuality #DataStrategy https://lnkd.in/giv45b9k

A few years ago, during lockdown, I had one hour in a virtual event to get a business audience excited about predictive analytics. I put together an intensive session focussed on practical techniques that attendees could take back to their teams for a quick win: simple but powerful ideas that would lock in value early in their strategy. It was a great success, and I have run the same intensive event many times for new clients. Now, I am being asked for the same intensive approach to AI. So here is a new offering for those curious or anxious about AI but unsure where to start ... In just one packed hour, we'll: ? Demystify key AI concepts ? Explore AI opportunities specific to your industry ? Help you to identify potential technology approaches ? Address common AI concerns ? Engage in interactive Q&A (which inevitably runs over the hour, but who's watching the clock?) Perfect for teams new to AI, this session provides actionable steps to leverage AI immediately. If this works for you and you book a full workshop after your Breakthrough session, I'll deduct the Breakthrough fee from the workshop cost! You can book a breakthrough session here: https://lnkd.in/gn3FGXCk

I sometimes say that all data problems are really metadata problems. It's only half a joke. Data initiatives often flop when different departments disagree on the basic definitions of data because it erodes trust in the data itself.? However, managing metadata can quickly become overwhelming without a solid framework in place. In this article for TechTarget, I break down how to create a metadata management framework that helps you get a handle on these important assets. The simple key is structure and consistency. Here are a few best practices covered in the article: ?? Define clear ownership—who’s responsible for managing metadata across the organization? ?? Standardize processes for capturing and maintaining metadata to ensure consistency. ?? Leverage automation tools to streamline metadata tagging and improve accuracy. A well-crafted metadata management framework not only makes data easier to find and use but also supports better governance and decision-making. How are you currently managing metadata in your organization? Do you have a formal framework or are you still figuring it out? Read the full article to learn how to build a metadata framework that drives real value. https://lnkd.in/gShKPmUX #MetadataManagement #DataGovernance #DataQuality #DataDiscovery #Metadata

One of the commonest complaints I hear from non-technical executives is that although they know data and analytics are critical to their strategy, they simply don't understand the terms used by data management and analytics teams. It’s a common scenario, and it highlights a critical gap - data literacy in the broad sense. Many organizations push data-driven decision-making, but if employees don’t speak the language, how can they fully engage? In this article for TechTarget, I discuss why data literacy training requires a dual approach. It’s not just about teaching tools and analytics; it’s about enabling a data culture, too. Two key tips come out of the article: You need to tailor training to different roles—business users need different skills than data scientists. We need to focus on practical use cases that apply to everyday work, not just theory. Building data literacy takes time, but the rewards—better decisions, greater collaboration—are worth it. Read the full article for more tips on making data literacy a core part of your team’s skillset. #DataLiteracy #BusinessIntelligence #DataStrategy https://lnkd.in/gGy42cuU

A strong data governance framework is the key to unlocking trust in your data. Many organizations struggle with governance, especially trying to handle multiplying data sources and changing compliance requirements. In my latest TechTarget article, I explore 5 proven data governance frameworks that can help you establish clear policies, ensure data quality, and maintain compliance. Each framework has its own strengths, from centralized governance models for strict control to more distributed frameworks that encourage flexibility and collaboration. Whether you’re just starting out or refining your existing approach, these examples offer practical insights that can be tailored to fit your organization’s unique needs. However, governance isn’t just about compliance—it’s about enabling better decision-making with reliable, high-quality data. What governance model works best for your organization? Have you found success with a particular framework, or are you still searching for the right one? Read the full article: https://lnkd.in/guySDj6G #DataGovernance #DataQuality #Compliance #BusinessIntelligence #DataManagement

The AI industry is facing a critical choice: open collaboration or secretive development. Which approach will lead to faster progress and better outcomes? Read my latest Creative Differences newsletter to explore the Innovator's Prisoner's Dilemma and its implications for business and society. https://lnkd.in/gKSZREMq #AI #Innovation

So many meetings start with good intentions and the presentation of our latest data. But then the discussion quickly turns anecdotal and defensive, leaving the data behind. This is a classic case of "premature enumeration," where we dive into analysis too quickly without proper context. In my latest Creative Differences newsletter, I explore how to tackle this issue by iterative and collaborative work, because sometimes, the best way to get to the right answer quickly is to start slowly. ?? Read the full article here: https://lnkd.in/gkmQGRXJ #DataAnalytics #BusinessIntelligence #DecisionMaking #DataDriven