Get the Competitive Edge with Decisively Digital – The Ultimate Guide to Data Strategy
Data is a valuable asset that can give businesses a competitive edge and drive growth in today’s digital age. But without a clear and well-defined data strategy, companies risk missing out on the benefits that data provides. To help your business succeed in the digital world, here’s an overview of nine essential elements of a comprehensive data strategy.
Goals and Objectives: Define specific goals and objectives that the company wants to achieve through its data efforts, such as improving customer experiences or optimizing business processes.
Data Sources: Identify the most valuable data types and determine where they will come from, such as internal transaction or customer data and external market research.
Data Management and Storage: Outline how data will be collected, organized, and stored consistently, accurately, and compliantly, with data management tools and technologies.
Data Analysis and Reporting: Define how data will be analyzed and used to inform business decisions, with data visualization tools, dashboards, and reporting systems.
Data Governance: Establish clear roles and responsibilities for data management, guidelines for data use and access, and ensure ethical and regulatory compliance.
Data-driven Culture: Foster a data-driven culture by providing training and resources for data-driven decision making.
Data Security and Privacy: Ensure data is collected, stored, and used securely and in compliance with privacy regulations.
Data Integration and Interoperability: Define how data will be integrated and shared across systems and platforms.
Data Quality and Accuracy: Ensure data is accurate and up-to-date, with processes for data cleansing and enrichment.
A data strategy is a must-have tool for any company that wants to fully realize the benefits of its data. It provides a clear roadmap for data collection, management, and analysis and helps organizations make better use of their data, drive growth, and succeed in today’s digital world. Get more insights and in-depth information by reading the book Decisively Digital (on Amazon).
Best Data Science Books: Top 5 Essential Reads for 2022 – #datamustread
For some time now, I have been using the hashtag #datamustread on LinkedIn and Twitter to regularly recommend books that are essential for a data journey. At the end of this year, I would like to put together some absolute highlights that I consider to be absolute #datamustread books:
True or False: A CIA Analyst’s Guide to Spotting Fake News
True or False by Cindy L. Otis covers the entire spectrum of misinformation and disinformation, why we fall for it, and what we can do about it. Even though some concepts are familiar to me, I still learned quite a lot. The book contains a wealth of unexpected examples, current and from history, and is more relevant than ever in today’s world.
Info We Trust by RJ Andrews is an inspiring journey of data storytelling, but it’s also written in an extremely entertaining way, making this #datamustread the perfect companion for relaxing days. RJ’s enjoyable writing style, by the way, has been a guiding light for my own books.
Data Visualization x Wiley Humble Bundle: „Pay what you want. Get $989 in books. Support charity!“
I’m honored to support Girls Who Code along with Nathan Yau, Zach Gemignani, and many other great data visualization authors.
Pay what you want and get your dataviz humble bundle here.
More from the Humble Bundle website:
Make insights & analytics take shape
Learn how to give your raw materials form and substance with books like Visual Analytics with Tableau, Data Fluency, and Visualize This from Wiley, filled with expert advice on the tools and techniques you & your organization need. Plus, your purchase helps support Girls Who Code!
Complete list of data visualization books in this humble bundle:
Data Viz Humble Bundle complete list
UPDATE July 25, 2022: Along with other data visualization book authors, we already raised over $23,000 in donations for Girls Who Code through the Dataviz Humble Bundle: https://bit.ly/DataVizBundle
Machine Learning kompakt und Blick in das Kapitel „Neuronale Netze und Deep Learning“
Nachdem ich bereits Erfahrung als Buchautor (hier und hier) gesammelt habe, hatte ich kürzlich die Gelegenheit als Technical Reviewer ein sehr spannendes Buchprojekt zu unterstützen. Das Buch Machine Learning kompakt: Alles, was Sie wissen müssen, geschrieben von Andriy Burkov, fand ich dabei dermaßen interessant, dass ich es gerne im Folgenden kurz vorstellen werde:
Machine Learning kompakt von Andriy Burkov ist ein hervorragend geschriebenes Buch und ein Muss für jeden, der sich für Machine Learning interessiert.
Andriy Burkov gelang ein ausgewogenes Verhältnis zwischen der Mathematik, intuitiven Darstellungen und verständlichen Erklärungen zu finden. Dieses Buch wird Neulingen auf dem Gebiet als gründliche Einführung zu Machine Learning zugutekommen. Darüber hinaus dient das Buch Entwicklern als perfekte Ergänzung zu Code-intensiver Literatur, da hier die zugrunde liegenden Konzepte beleuchtet werden.
Microsoft Azure Machine Learning Studio
Machine Learning kompakt eignet sich außerdem als Lehrbuch für einen allgemeinen Kurs zu Machine Learning. Ich wünschte, ein solches Buch gäbe es, als ich studiert habe!
Protip: viele der im Buch vorgestellten Machine-Learning-Algorithmen können Sie einfach und bequem in Microsoft Azure Machine Learning Studio selbst ausprobieren: https://aka.ms/mlst
From ideas to dashboards: The essential books for mastering your Data Journey, featuring ‚Info We Trust‘, ‚Visual Analytics with Tableau‘, and ‚The Big Book of Dashboards‘.
Today, data is at the core of everything we do, but the journey to mastering it can be overwhelming. Last year I started lecturing a Data Analytics course at university (as part of an MBA program). In the meanwhile, I was refining the list of books that I highly recommend to read. Three of these books form the Data Journey!
The Data Journey: A Human-Focused Approach to Data Storytelling
The Data Journey is not just about numbers; it’s about understanding the evolution of data, the power of visualization, and how it all connects to real-world business. Here are the books that will guide you on this path:
1. Info We Trust: How to Inspire the World with Data
Begin your Data Journey with a deep dive into data storytelling. Info We Trust explores data lifecycle across disciplines, with inspiring references and hand-drawn illustrations. It’s a must-read for anyone serious about data communication.
This book examines all parts of the data storytelling lifecycle across disciplines. The use of marginalia and hand-drawn illustrations give you both simple lessons to take away and insights into where to find out more. The book is full of magnificent references that inspire further reading.
2. Visual Analytics with Tableau
Ready for hands-on experience? My book, Visual Analytics with Tableau, provides a step-by-step guide to mastering Tableau, from basic chart creation to advanced statistical modeling. With Tableau available for free to students, there’s no reason not to dive in!
Visual Analytics with Tableau covers everything you need to get started with Tableau (students get Tableau for free!). The book guides you from the first steps of connecting to data, creating different types of charts, and adding calculation fields to more advanced features such as table calculations, forecasts, and clusters, as well as R, Python, and MATLAB integration for sophisticated statistical modeling.
3. The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios
Back to business (as this course is designed for an MBA program). We close our Data Journey canon with The Big Book of Dashboards. This is a comprehensive reference book with real-world solutions for business dashboards and a detailed analysis of do’s and don’ts.
This comprehensive reference book offers real-world solutions for business dashboards. It’s a practical guide to understanding do’s and don’ts in data visualization, categorized by industry and functional business areas.
Need More Inspiration for Mastering Data Journey? #MakeoverMonday: Improving How We Visualize and Analyze Data, One Chart at a Time
Because vizzing alone is only half the fun, you should not miss the #MakeoverMonday book. Eva Murray and Andy Kriebel are icons in the data visualization community (read the interview!) and they have curated the thousands of visualizations from the #MakeoverMonday project into a practical guide that will take your design and data communication skills to the next level!
The #MakeoverMonday book by Eva Murray and Andy Kriebel is a treasure trove of data visualization insights. It’s a practical guide to enhancing your design and communication skills.
Join the Conversation: Your Recommendations for the #DataJourney
Interested in more insights on data visualization, analytics, and Tableau? Follow me on Twitter and LinkedIn, and let’s continue learning together. And don’t forget to check out my book Visual Analytics with Tableau to take your data journey to the next level!
What other books have inspired you on your data journey? Share your favorite data books in the blog post comments or reply to this tweet:
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