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Be Data Analytical: How to Use Analytics to Turn Data into Value
Be Data Analytical
is the book organizations and individuals need to understand how to truly use analytics to turn data into valuable insights and drive smarter decision making.
Data needs analytics to turn it into value and for organizations to be truly data-driven, they need to use analytics correctly. However, most organizations do not move beyond the first, most rudimentary stage of analytics. They miss out on the powerful insights and opportunities available with all the four levels of descriptive, diagnostic, predictive and prescriptive. Be Data Analytical reveals how to supercharge data value through all the four levels of analytics, bringing data to life and enhancing data-driven decision making.
Be Data Analytical examines each of these four levels of analytics what they are, why they matter, how they can be used strategically and how they can be implemented. The book also explores how individuals and organizations can improve their skills and performance in each of these areas. Written by a global trailblazer in the world of data literacy, the book shows professionals, managers, leaders and organizations how to use analytics for the successful and strategic conversion of data into value, insight and action.
Data needs analytics to turn it into value and for organizations to be truly data-driven, they need to use analytics correctly. However, most organizations do not move beyond the first, most rudimentary stage of analytics. They miss out on the powerful insights and opportunities available with all the four levels of descriptive, diagnostic, predictive and prescriptive. Be Data Analytical reveals how to supercharge data value through all the four levels of analytics, bringing data to life and enhancing data-driven decision making.
Be Data Analytical examines each of these four levels of analytics what they are, why they matter, how they can be used strategically and how they can be implemented. The book also explores how individuals and organizations can improve their skills and performance in each of these areas. Written by a global trailblazer in the world of data literacy, the book shows professionals, managers, leaders and organizations how to use analytics for the successful and strategic conversion of data into value, insight and action.
239 pages, Kindle Edition
Published June 3, 2023
3 people are currently reading
38 people want to read
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Displaying 1 - 3 of 3 reviews
January 4, 2024
Too much repetition.
April 25, 2024
Thanks to Netgalley and the publisher for this eARC.
In the ever-evolving landscape of data-driven decision-making, Jordan Morrow's book, "Be Data Analytical: How to Use Analytics to Turn Data into Value," stands out as a beacon for professionals seeking to unlock the hidden potential within their data. With clarity and insight, Morrow guides readers through the intricate world of analytics, emphasizing the strategic conversion of raw data into actionable insights.
The Four Levels of Analytics
Morrow's approach centers around the four levels of analytics: descriptive, diagnostic, predictive, and prescriptive. Each level plays a crucial role in transforming data into value:
- Descriptive Analytics: Like a doctor diagnosing symptoms, descriptive analytics provides a snapshot of what's happening. It answers the "what" questions, laying the groundwork for deeper analysis.
- Diagnostic Analytics: Moving beyond symptoms, diagnostic analytics delves into the "why." It uncovers patterns, correlations, and causal relationships, helping us understand the underlying causes.
- Predictive Analytics: Here, Morrow draws parallels with medical research. Predictive analytics forecasts outcomes based on historical data. Just as doctors recommend treatments, predictive models guide decision-makers toward informed choices.
- Prescriptive Analytics: Finally, prescriptive analytics prescribes actions. Imagine a doctor prescribing medication to alleviate symptoms. Similarly, prescriptive analytics suggests optimal strategies for achieving desired outcomes.
- Data Visualization: Beyond Numbers
Morrow wisely emphasizes that data visualization is not the end goal but a powerful means to an end. Visualizations breathe life into data, making it accessible and impactful. They bridge the gap between raw numbers and actionable insights, enabling decision-makers to grasp complex information intuitively.
What sets "Be Data Analytical" apart is its blend of personal anecdotes and professional wisdom. Morrow shares relatable experiences, making the journey from data to value relatable. Whether you're a seasoned data analyst or a curious beginner, this book offers valuable takeaways.
In a world awash with data, Morrow's book serves as a compass, guiding us toward meaningful insights. "Be Data Analytical" empowers readers to navigate the analytics landscape, turning data into actionable intelligence. As Bernard Marr, Founder & CEO of Bernard Marr & Co., aptly puts it: "A must-read for anyone looking to harness the power of data."
In the ever-evolving landscape of data-driven decision-making, Jordan Morrow's book, "Be Data Analytical: How to Use Analytics to Turn Data into Value," stands out as a beacon for professionals seeking to unlock the hidden potential within their data. With clarity and insight, Morrow guides readers through the intricate world of analytics, emphasizing the strategic conversion of raw data into actionable insights.
The Four Levels of Analytics
Morrow's approach centers around the four levels of analytics: descriptive, diagnostic, predictive, and prescriptive. Each level plays a crucial role in transforming data into value:
- Descriptive Analytics: Like a doctor diagnosing symptoms, descriptive analytics provides a snapshot of what's happening. It answers the "what" questions, laying the groundwork for deeper analysis.
- Diagnostic Analytics: Moving beyond symptoms, diagnostic analytics delves into the "why." It uncovers patterns, correlations, and causal relationships, helping us understand the underlying causes.
- Predictive Analytics: Here, Morrow draws parallels with medical research. Predictive analytics forecasts outcomes based on historical data. Just as doctors recommend treatments, predictive models guide decision-makers toward informed choices.
- Prescriptive Analytics: Finally, prescriptive analytics prescribes actions. Imagine a doctor prescribing medication to alleviate symptoms. Similarly, prescriptive analytics suggests optimal strategies for achieving desired outcomes.
- Data Visualization: Beyond Numbers
Morrow wisely emphasizes that data visualization is not the end goal but a powerful means to an end. Visualizations breathe life into data, making it accessible and impactful. They bridge the gap between raw numbers and actionable insights, enabling decision-makers to grasp complex information intuitively.
What sets "Be Data Analytical" apart is its blend of personal anecdotes and professional wisdom. Morrow shares relatable experiences, making the journey from data to value relatable. Whether you're a seasoned data analyst or a curious beginner, this book offers valuable takeaways.
In a world awash with data, Morrow's book serves as a compass, guiding us toward meaningful insights. "Be Data Analytical" empowers readers to navigate the analytics landscape, turning data into actionable intelligence. As Bernard Marr, Founder & CEO of Bernard Marr & Co., aptly puts it: "A must-read for anyone looking to harness the power of data."
April 17, 2024
It could be 50 pages. Some paragraphs were full of nothing.
Displaying 1 - 3 of 3 reviews