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📈 Enterprise #data strategy trends are rapidly shifting, and it's about time. - Firstly, data democratisation is gaining momentum, finally allowing everyone access to the insights they need to make decisions. - Secondly, data quality is rightfully taking centre stage, highlighting the long-overdue importance of accurate and reliable data. - Lastly, with the rise of #AI, businesses can no longer afford to ignore the transformative potential of predictive analytics and #automation. 🌍 These trends are revolutionising how we use data, and those who embrace them will undoubtedly lead the charge in the #datadriven future. 🗣️ What are your experiences? Do you share this view? #EnterpriseDataManagement #DataDriven #BusinessInnovation

🔥 At Candela Data, we don’t just work with data—we ignite Data and AI transformations! Our focus is helping businesses unlock the full potential of their data with a solid foundation built on trust and clarity. Accelerating the path to real business insights and outcomes, giving businesses control and confidence to thrive in today's data-driven world. With deep experience and cutting-edge tools, we bring order to even the most chaotic data environments and here's how we do it: ⚡ Robust Accelerators and Automation: Rapid integration, data extraction, and pipeline control to create a trusted platform that sparks innovation. 📈 Advisory and Strategy: Cut through complexity with expertise and a focus on outcomes, driving future-state business transformation. 🔧 Data Engineering: Elegantly engineered data solutions that scale with confidence and precision. 🔍 Insights and Visualisations: Actionable insights through powerful visualisations and reporting, for clarity and control. 🤖 Data Science, AI & Machine Learning: Cutting-edge AI and machine learning solutions that drive innovation and are built with confidence. 🔒 Privacy, Governance & Compliance: Privacy, security, ethics and trust embedded in everything we do. We understand the challenges many companies are facing, capacity limits, lack of access to specialised talent, and projects that can’t wait. That’s where we come in, let us help you close the gap and deliver results faster! 🌐 Need extra support? Contact John Arnold or visit Candela Data to learn more. #DigitalTransformation #BusinessIntelligence #DataStrategy

Is your data really working as hard as it could be? You might be surprised! A recent study shows that 70% of organisations cite data quality as their number one challenge, with large businesses losing over £1.59 million annually due to poor data management. It's a bit of a wake-up call that demands action. Data isn't just a resource; it's the cornerstone of innovation, decision-making, and growth in the AI era. Yet, numerous businesses struggle to fully leverage their data due to quality issues, governance gaps, and siloed systems, costing them not just financially, but also in lost opportunities and efficiency. 🔍 Dive into our latest article, where we dissect these challenges and unveil how data engineering can be your secret weapon in the race towards AI-readiness. Learn about the critical role of data engineering in ensuring data quality, integration, and strategic advantage, ultimately transforming your AI endeavours from aspiration to reality. 💡 Don't let your data be a missed opportunity. Unlock the full potential of AI and analytics with the right strategies and support. 🔗 https://lnkd.in/djur4649 #AIDrivenSuccess #DataQuality #DataEngineering #AIIntegration #Innovation #BusinessGrowth

Clean data is the foundation of automation, reporting, AI, and more. Here is our advice for simplifying and clarifying the process. https://okt.to/WO0Stn Subscribe to our Newsletter, 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀. It's a great way to stay updated on issues that matter to mid-market businesses. https://okt.to/gTZYRu #newsletter #businessinsaights #data #datatransformation #cleanyourdata #freemanclarke

🚀 Thrilled to announce the relaunch of my personal website - dataenthusiast.io! 🤖 I may still be navigating the AI landscape as a novice in many areas, but hear me out: I'm a firm believer in the potential of what I call "embedded AI for data & analytics." 💼 This concept isn't just about following the latest trend; it's about pinpointing where I see the most significant impact for organizations striving for data democratization and governance. So, what exactly does "embedded AI" mean to me? 🔍 Beyond Surface-Level Solutions: It's not about flashy chatbots or superficial enhancements. Embedded AI dives deep into the core of data processes, revolutionizing how organizations interact with their data. 🔐 Balancing Act: Deploying AI shouldn't come with a laundry list of privacy compliance and security concerns. It's about finding that sweet spot where innovation meets reliability and responsibility. 🔄 Freeing Up Talent: Say goodbye to mundane, repetitive tasks. Embedded AI liberates talented individuals from the shackles of routine, allowing them to focus on driving real traction where it matters most. 🌐 Democratizing Data: No more walled gardens of domain knowledge. Embedded AI paves the way for widespread access and understanding of data across the entire organization. 🚀 So, am I riding the AI hype train? Guilty as charged. But hey, who said you can't have fun while pioneering in the world of data & analytics? Join me on this ride here: https://dataenthusiast.io/ #ai #openai #dataanalytics #bigdata #artificialintelligence #artificialintelligenceforbusiness #datagovernance #datademocratization

Excellent points. The rush to adopt generative AI is understandable, but it's crucial for companies to prioritize data readiness first. A well-organized, clean data infrastructure is essential for successful GenAI implementation. Effective AI solutions are built on this foundation. Equally important is having a clear purpose for adopting GenAI. Companies should focus on how this technology can address specific business challenges or create tangible value, rather than just following industry trends. The organizations that will truly benefit from GenAI are those that invest time in preparing their data and develop a strategic approach to implementation. This thoughtful preparation will ultimately lead to more impactful and sustainable AI-driven solutions. We have a solution for that at Analytic Vizion. #GenAI #dataengineering #organizationalstrategy #analyticinsights #peopleprocesstechnology

Charting the Path to the Data- and AI-Driven Enterprise of 2030 As we approach 2030, businesses must embrace data ubiquity to remain competitive. Generative AI and quantum-sensing technologies are revolutionizing how companies operate, yet many organizations still lack the clarity needed to fully capitalize on these advancements. The challenge is no longer about convincing teams of the value of data—it’s about scaling AI-driven insights and embedding them into every facet of decision-making. The call to action is clear: data leaders must drive their organizations to adopt a “data and AI first” mindset. This means building scalable, integrated data architectures that are both easy to use and trusted across the enterprise. The future belongs to those who can unlock the full potential of AI by customizing models with proprietary data, ensuring robust data governance, and developing pathways that enable cross-functional use cases. Now is the time to act. Businesses that prioritize these strategies will not only navigate the complexities of the AI-driven future but lead it. #DataTransformation #AI20230 #DataLeadership #AIandBusiness

A modern data platform is crucial for any organization aiming to thrive in the digital era. Essentials like scalability, real-time processing, seamless data integration, robust data governance, and advanced analytics are the backbone of effective data strategies. These elements empower businesses to handle vast data volumes, derive instant insights, maintain data quality and security, and leverage AI and machine learning for deeper understanding. Embracing these components ensures that your data platform can drive innovation and strategic decision-making, keeping your organization ahead of the curve. #DataPlatform #DataStrategy #DataArchitecture #DataAnalytics #BigData #Innovation #DigitalTransformation #BusinessIntelligence

Clean data is the foundation of automation, reporting, AI, and more. Here is our advice for simplifying and clarifying the process. https://okt.to/7kVzZS Subscribe to our Newsletter, 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀. It's a great way to stay updated on issues that matter to mid-market businesses. https://okt.to/nbBPdg #newsletter #businessinsaights #data #datatransformation #cleanyourdata #freemanclarke

The change driven by the introduction of the World Wide Web 30+ years ago is hard to overstate. AI is the next inflection point, and its early days closely resemble those of the Web; euphoria-driven excitement, organizations scrambling to define strategies around a new capacity, inflated expectations, and significant investment. Much like the Web's evolution, many early experiments will fail, but these failures will ultimately guide the path toward practical, scalable applications. Recently, McKinsey published a thoughtful article on how organizations can prepare themselves for a time when AI has a larger operating role. The article is a short read focused on the central importance of access to "good and relevant" data. Data truly is the “new oil” and companies with a crude (pun intended) approach to leveraging it will find it difficult to unlock AI's long-term value. In working with small and mid-cap companies, curating and synthesizing data to inform strategy and operational decisions is often an early focus area. Overcoming these initial hurdles is crucial for long-term success, but it also delivers significant near-term benefits. For example, DTC retailers can take an early step toward AI readiness by building a customer-centric sales forecast. While a tactical effort, the project demands people, process, and technical changes that deliver organizational and financial dividends (e.g. inventory optimization, marketing effectiveness, capacity planning, etc). As AI reshapes industries, how are you preparing your organization to harness data and drive innovation? I'd love to hear your thoughts — whether you're already taking steps or still evaluating your approach – and areas where you’d like to explore further. https://lnkd.in/dXWpDesQ Asin Tavakoli, Holger Harreis, Kayvaun Rowshankish, and Michael Bogobowicz #AI #CustomerCentricity #Data #MachineLearning #DigitalTransformation #BusinessStrategy #McKinsey