Ascend Analytics

Over 360 years ago, John Graunt laid the foundation for modern public health analytics by meticulously analysing mortality data in 17th century London 📑 His groundbreaking work revealed hidden patterns in the spread of the bubonic plague, offering insights that still resonate in today's data-driven healthcare strategies. Swipe to learn more about the first recorded use of data in public health 🩺 #PublicHealth #DataAnalytics #HealthcareInnovation

"Give up speculating. Analyze consumer data with machine learning to find high-potential leads. This maximizes your return on investment (ROI) by assisting you in concentrating your marketing efforts on the most promising customers." Aiming accurately is the first of 5 tips covered in our blog on utilising Machine Learning for better sales and marketing campaigns 🎯 Click the link to discover the other 4: https://lnkd.in/dQZrTdtF

Ever found yourself in an emergency room and the only thing you can think of is why it's taking so long to get treated? 🥲 From managing bed occupancy to optimising treatment outcomes, it all starts with identifying the right metrics to track. Dive into part 2 of our Cheat Sheet on key metrics for healthcare organisations👇 #HealthcareAnalytics #PatientCare #HealthcareInnovation #DataAnalytics

"Hospital readmissions are costly and disruptive for patients. Predictive models can analyse a patient's discharge data, medication history, social determinants of health, and even readmission rates for similar cases to identify those at high risk of returning to the hospital." Continuing this month's focus on healthcare, our latest blogpost presents a deep dive into the role of predictive analytics in improving efficiency ✍️: https://lnkd.in/dz9Q48MC #PredictiveAnalytics #Healthcare #HealthcareAnalytics #AI

More Data DOES NOT Always Mean Better Insights 🙅 Contrary to popular belief, having more data doesn't always translate to better insights. In a study conducted by Oracle in 2023, despite 83% of those surveyed agreeing that access to more data should make decisions easier, a staggering 86% of respondents claimed that in reality, more data has led to less confidence in their decision making 😟 This issue, often referred to as "data overload", highlights that simply amassing large amounts of data can lead to analysis paralysis and inefficiency rather than actionable intelligence. A more focused approach to data collection and analysis is more effective. Instead of trying to gather as much data as possible, businesses need to identify and collect data that directly supports their strategic goals. This approach not only simplifies the data management process but also enhances the quality of insights derived, leading to more informed decision-making and better outcomes 💰 Companies that prioritize data quality over quantity tend to have more successful analytics initiatives. High-quality data ensures that analyses are accurate and reliable, reducing the risk of making decisions based on flawed information.

Businesses today are often overwhelmed by the sheer volume of information at their fingertips. Machine Learning (ML) offers powerful solutions to utilise this data and derive valuable insights that can drive your business forward 💪 Here are five essential tips to harness ML for tangible growth: Identify the Right Problem 🔎: Focus on specific business challenges like customer retention or traffic metrics to ensure immediate and relevant results. Gather Your Data Assets : Ensure your data is clean, organized, and accessible. Data is the fuel for ML – gather relevant customer purchase histories, engagement stats, and webpage clicks. Translate Insights into Strategies: Turn ML-identified patterns into actionable strategies. Personalize marketing campaigns based on customer segments with distinct buying habits. Embrace Experimentation 🧪: Continuously refine your strategies. ML's learning capability thrives on experimentation and iteration. Partner with a Data Analytics Agency: Leverage specialized expertise to navigate ML’s technical aspects and translate insights into action. #DataAnalytics #MachineLearning #BusinessGrowth #DataDriven #Innovation

Do businesses in the healthcare industry really require Business Intelligence services? 🤔 The short answer? Yes they do. Head to our latest blogpost where we explore how these organisations can build and implement an impactful Business Intelligence strategy to learn more 👉: https://lnkd.in/d8gNsSiW

Do businesses in the healthcare industry really require Business Intelligence services? 🤔 The short answer? Yes they do. Head to our latest blogpost where we explore how these organisations can build and implement an impactful Business Intelligence strategy to learn more 👉: https://lnkd.in/d8gNsSiW

A successful analytics strategy begins with knowing which metrics to track 💡By analysing data on patient satisfaction, flow, and staffing levels, healthcare administrators can take better decisions to optimise workflows and enhance efficiency 👌 #HealthcareAnalytics #PatientCare #HealthcareInnovation #DataAnalytics

Introducing the newest members of the Ascend crew 🎉 This week we're excited to welcome Aimen Ayaz and Samana Tatheer to the team, as we add two new faces to the Ascend Analytics jet-setters squad ✈️