d-fines inlägg

🥁🥁 "Why does an organization collect data?" I've been looking for a straightforward answer to that question for a while as I wasn't convinced that the primary reason to collect data was to make decisions or deliver personalized experiences. So earlier this year, I started mapping out the data lifecycle – from collection to insights to action and beyond – hoping to find the answer and depict it visually. And after many iterations based on feedback from some beautiful minds (in data and elsewhere), The GDG model is ready for prime time! Introducing "The Good Data To Growth (GDG) Pyramid" – a model that organizations can adopt to enable their data and growth teams to come together and drive data-powered growth! 🚀 The GDG model is based on the following thesis: “An organization collects data to enable teams to derive insights – that further enable them to make decisions and run experiments – to ultimately, drive growth for the business.” It's worth noting that "growth" is a fuzzy word and can mean so many things. Therefore, I'd like to give it a simple definition: “Growth refers to any measurable outcome that’s good for an organization.” Examples of growth include more revenue, more efficiency, more profit or impact, higher CSAT, and so on. My goal here, as with all my efforts, is not to prescribe or preach, but to offer a perspective – one that gives you something to think about and something to act upon. The only difference this time around is that I'm turning the GDG thesis into a book called "Good Data To Growth: Make Data Fuel Your Organization’s Growth Engine". And inspired by my friend Timo Dechau, I've decided to release it as a WIP digital book that will be available for purchase soon. In the meantime, I'd encourage you to read the introductory post that offers a complete breakdown of the GDG model (link in the comments). And if the message resonates, do consider sharing it further.

As the volume of data continues to surge, businesses and organizations are faced with the challenge of extracting meaningful insights to drive decision-making and innovation.  At Core Analitica, we understand the importance of analytics as the compass guiding us through this vast ocean of information. Our team of experts specializes in harnessing the power of data analytics to help businesses chart a course towards success.  Through advanced algorithms, statistical modeling, and cutting-edge technology, we provide our clients with actionable insights that enable them to make informed decisions, optimize operations, and stay ahead of the competition.  Whether you're looking to uncover hidden trends, identify patterns, or predict future outcomes, our analytics solutions are tailored to meet your specific needs and objectives. www.coreanalitica.com #dataanalytics #coreanalitica #datadrivendecisions #businessinsights

🌐 Embracing the Future of Strategic Consulting with Cutting-Edge Data Analytics Tools In the fast-evolving landscape of strategic consulting, the integration of advanced data analytics tools is not just a trend but a pivotal game-changer. The recent advancements in analytics technologies have fundamentally transformed how we approach problem-solving and decision-making in business. 🔍 Key Developments: AI-Powered Analytics: The adoption of AI in data tools has enabled more predictive insights and automated analysis, significantly speeding up the decision-making process. Real-Time Data Processing: Tools that offer real-time insights have become crucial in rapidly changing markets, allowing consultants to provide timely, actionable advice. Enhanced Data Visualization: Sophisticated visualization tools help in translating complex data sets into understandable and compelling visual stories, making it easier for stakeholders to grasp and make informed decisions. 📊 Impact on Strategic Consulting: The application of these technologies in strategic consulting has led to: Sharper Insights: Enhanced accuracy and depth of insights, enabling consultants to provide more targeted strategies. Increased Efficiency: Streamlined processes and quicker turnaround times for data analysis. Competitive Advantage: The ability to stay ahead with proactive strategies and solutions. As we continue to navigate through a terrain rich with data, the role of advanced analytics tools in strategic consulting will only grow more significant. Staying updated and adaptable with these tools is not just beneficial; it's imperative for future success. 👥 Let’s discuss how these innovative tools are reshaping your strategies and decision-making processes. Share your thoughts and experiences in the comments below! #DataAnalytics #StrategicConsulting #Innovation #BusinessIntelligence #TechTrends

𝗗𝗮𝘁𝗮 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝘀 𝘀𝗵𝗼𝘂𝗹𝗱 𝘂𝘀𝗲 𝘁𝗵𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 Data products must communicate in the business's language to effectively bridge the gap between technical analytics and business strategy. This approach ensures that analytics outputs, such as decisioning systems, operational analytics, dashboards and reports, are readily comprehensible to business stakeholders, facilitating informed decision-making that aligns with strategic objectives. By adopting business vernacular, data products transform complex datasets into narratives that resonate with and solve business needs, making insights actionable and directly relevant. This focus on business language enhances the accessibility and relevance of data, enabling stakeholders to leverage data-driven insights for strategic advantage. Dataception Ltd Are you looking to transform your data into decisive action and tangible results for your business? At the core of our mission, we believe that for analytics to be truly impactful, it must not only speak the language of your business but also drive meaningful change. Our data products are crafted to bridge the gap between complex data analytics and your strategic business goals, ensuring that insights are not just accessible but actionable. Whether it's optimising operations, enhancing revenue, or steering strategic decisions, our tailored data stories approach empowers you to navigate the complexities of your business landscape with confidence. If you're curious about how to leverage data products to build compelling decision-making stories that resonate with your objectives and catalyse business transformation, we're here to help. We invite you to reach out and start a conversation about your business needs and how our innovative approaches can turn your data into a strategic powerhouse. Contact us today to explore a partnership that brings data-driven decision-making to the forefront of your business strategy. Let's embark on this journey together, transforming insights into action and visions into reality. 𝙇𝙚𝙩'𝙨 𝙩𝙖𝙡𝙠 … 𝙥𝙡𝙚𝙖𝙨𝙚 𝙜𝙚𝙩 𝙞𝙣 𝙩𝙤𝙪𝙘𝙝 𝙬𝙞𝙩𝙝 𝙪𝙨!

📊 Unveiling the Layers of Data Analysis: A Comprehensive Guide 🚀 In the intricate world of data analysis, distinct areas unfold, each wielding its unique features and applications. 🔍 Descriptive Analytics: The journey begins with Descriptive Analytics, delving into historical data to unveil past trends and patterns. This approach aids in understanding what occurred in the past, identifying key metrics, and deciphering the pulse of occurrences. For instance, analyzing past-year incidence to discern popular products and seasonal trends. 🔍 Diagnostic Analytics: Moving beyond history, Diagnostic Analytics steps in to pinpoint the causes of past events or phenomena. This analytical realm is instrumental in identifying factors influencing outcomes and flagging potential issues. An example could be analyzing patient reviews to unearth the reasons behind a low rating for a medical service or product. 🔍 Predictive Analytics: Fast forward to the future with Predictive Analytics, leveraging statistical models and machine learning algorithms to forecast upcoming events based on historical data. This predictive prowess empowers organizations to anticipate and prepare for future scenarios. Imagine forecasting demand for a specific drug to optimize inventory and production levels. 🔍 Prescriptive Analytics: Steering towards optimal solutions, Prescriptive Analytics employs optimization and simulation techniques to suggest the best course of action. This forward-thinking approach provides actionable recommendations based on data analysis. An example could involve determining the optimal route for goods delivery to minimize time and costs. Each of these data analysis areas plays a pivotal role, bringing its unique benefits and applications to the forefront. The magic happens when these realms converge, allowing organizations to extract valuable insights and make informed decisions. Whether unraveling the past, diagnosing issues, predicting the future, or prescribing optimal solutions, the synergy of these analytical domains opens doors to a data-driven world of possibilities. 🌐💡 #DataAnalysis #Analytics #PredictiveAnalytics #PrescriptiveAnalytics #BusinessInsights #DecisionMaking

Vision vs Data Revision Decision-making has changed drastically during the past decades. Back in the days, there were no comprehensive sets of data, powerful information systems or at least efficient ways to harness those at scale. Today, there is more information and data than a human brain can even process. What does this mean for decision-making then? Earlier, the role of vision or imagination was more emphasised than today because there was not that much to base decisions on. This also meant that the ones with those qualities could create competitive advantage and breakthroughs. These days, decision-making is more grounded and traceable. It is far easier to reason based on the facts and figures (e.g. reports) even though it does not guarantee the quality of decision-making itself. In a way, decision-making has become more dull and routined. It has become a logical and rational process or processing points of information and data even though the sheer scale of ”what could be looked at” and the conclusiveness has become the core issue. How do you see this? What is the relationship of vision and ”data revision” these days? #decisionmaking #vision #facts #factsfigures #data #dataanalytics

About 70% of businesses don’t use even half of their business’ data potential, while data-driven insights are how well-established companies manage to stay competitive and gradually grow. One of the analytical methods to consider using is time series analysis. This method can be reinforced with #ML for automation and ease of insight generation, making it a great solution for innovation-first businesses. In the newest Intelliarts post, our expert provides essential details to help grasp the concept of time series analysis and obtain an understanding of how to benefit from its implementation.🔥He also shares the top 5 usage examples of established companies. Explore the post at the below link: https://lnkd.in/eexG3KpK #DigitalTransformation #Innovation #BusinessOpportunities #Technology