Data visualization with Excel dashboards and reports
Large corporations like IBM and Oracle are using Excel dashboards and reports as a Business Intelligence tool, and many other smaller businesses are looking to these tools in order to cut costs for budgetary reasons.
This book delivers a powerful analysis of the new technological forces buffeting the accounting profession. Using case studies and practical examples, the author demonstrates how big data, blockchain, robotic process automation and artificial intelligence can help accountants adapt to new realities.
Analytics and big data for accountants
This book will help accountants and financial managers better understand big data and analytics, including its history and current trends. It dives into the platforms and operating tools that will help you measure program impacts and ROI, visualize data and business processes, and uncover the relationship between key performance indicators.
Digital finance: big data, start-ups, and the future of financial services
This book takes a thoughtful look at how the digital finance industry is evolving. It explains how to integrate digital finance concepts into existing traditional finance platforms and explores what successful companies are doing to maximize their opportunities in this context.
Data visualisation with Python: create an impact with meaningful data insights using interactive and engaging visuals
Understand, explore, and effectively present data using the powerful data visualization techniques of Python programming.
No small change: why financial services needs a new kind of marketing
This book takes the form of a 13-point practical manifesto arguing that the fast-changing financial services world urgently needs to rethink the whole of its approach to marketing. The thirteen chapters look at the key components of the new approach.
Principles of data wrangling: practical techniques for data preparation
This book walks the reader through the wrangling process by exploring several factors-time, granularity, scope, and structure-that you need to consider as you begin to work with data.
Data strategy: how to profit from a world of big data, analytics and the internet of things
A must-have guide to creating a robust data strategy. Explaining how to identify your strategic data needs, what methods to use to collect the data and, most importantly, how to translate your data into organizational insights for improved business decision-making and performance, this is essential reading for anyone aiming to leverage the value of their business data and gain competitive advantage.
Visualizing financial data
This book provides visualization methods that will help you navigate today's cluttered landscape of financial markets. It starts with a review of current, commonly used methods for communicating financial data and then offers methods to refine or enhance them, or create new types of visualisations that are easy to use, elegant, and that facilitate better decision-making. Many break with today's common practices for communicating data, but improve efficiency and clarity.
Big data in practice: how 45 successful companies used big data analytics to deliver extraordinary results
Offers an in-depth insight into how specific companies use big data.
Good charts: the HBR guide to making smarter, more persuasive data visualizations
Provides an essential guide to how visualization works. It will help you turn plain, uninspiring charts that merely present information into smart, effective visualizations that powerfully convey ideas.
Power Pivot and Power BI: the Excel user's guide to DAX, Power Query, Power BI and Power Pivot in Excel 2010-2016
Microsoft PowerPivot is a free add-on to Excel from Microsoft that allows users to produce new kinds of reports and analyses that were simply impossible before, and this book is the first to tackle DAX formulas, the core capability of PowerPivot, from the perspective of the Excel audience.
Automate the boring stuff with Python: practical programming for total beginners.
Learn how to use Python to write programs that do in minutes what would take you hours to do by hand - with no prior programming experience required. Once you've mastered the basics of programming, you'll create Python programs that effortlessly perform useful and impressive feats of automation.
M is for (data) monkey: the Excel Pro's definitive guide to Power Query
Power Query is one component of the Power BI (Business Intelligence) product from Microsoft, and "M" is the name of the programming language created by it. This book shows how to use the Power Query tool to get difficult data sets into both Excel and Power Pivot, and is solely devoted to Power Query dashboarding and reporting.
Fraud analytics using descriptive, predictive, and social network techniques : A guide to data Science for fraud detection.
A guidebook for setting up comprehensive fraud detection analytics. More effective fraud detection is possible, and this book describes the various analytical techniques your organisation must implement to put a stop to the revenue leak.
Excel dashboards and reports for dummies
Using Excel to build better reporting mechanisms.
Data science for business: what you need to know about data mining and data-analytic thinking
This guide introduces the fundamental principles of data science and walks through the "data-analytic thinking" necessary for extracting useful knowledge and business value from data.
Data cleaning: a practical perspective
This book discusses the goals of data cleaning and includes abstracts of common sets of data cleaning tasks. In particular, the book focuses on an operator-centric approach for developing a data cleaning platform.
Mapping workflows and managing knowledge: capturing formal and tacit knowledge to improve performance
Knowledge management for managers and supervisors.
Stakeholder approach to issues management, A
Guide to issues management from a US perspective.