Big Data Analytics
5 Levels
State of the Art
Before & After
Fun Facts
100

The extensive use of data, statistical and quantitative analysis, exploratory and predictive models, and fact based management to drive decisions and actions.

What is analytics?

100

This level utilizes advanced statistical methods to uncover trends, patterns and errors across large data sets.

What is Level 5?

100

May be applied to both tax strategy and the process of tax compliance. 

                                   


What are Tax Analytics?

100

Analytics saves _____ and _____.

What are time and money?

100

Less than _____% of all data we create is ever analysed and used.

What is 0.5%?

200

Technology that uses data, statistical algorithms and machine-learning techniques to identify the likelihood of future outcomes based on historical data.

What are predictive analytics?

200

This level uses modeling and statistical methods to determine what should be done from a business and tax perspective.

What is level 4?

200

Some of the tax focus is on explaining past results, but there is also an interest in _____. 

                                   


                                   


What is prediction? 

                                   


200

Integration of Tax Analytics can help companies achieve greater F_____.

                                                       


What is functionality? 

200

By 2020, there will be more than _____ smart connected devices in the world, collecting, analysing and sharing data.

What is 50 billion?

300

This technology is able to remove data prep and analytical processing latencies to test new scenarios and create models.

What is In-memory analytics?

300

This level can be used to quickly review millions of pages of documents from public data sources, tax regulations, regulatory hearings and tax rulings.

What is level 5?

300

Getting tax data to mean the same thing throughout the company. 

                                   


What is “data harmonization”?

                                   


300

One challenge tax departments may face is the combination of _____ and _____ data.

What is structured and unstructured?

300

There are nearly as many pieces of digital information as there are _____ in the universe.

What are stars?

400

Technology that allows you to analyze text data from the web, comment fields, books and other text-based sources to uncover insights you hadn't noticed before.

What is text mining?

400

This level focuses on forward-looking analysis and forecasting.

What is level 3?

400

A challenge for organizations is finding people who are knowledgeable about both _____ and _____.

                                   


What are tax and analytics?

400

Tax teams are shifting their focus from _____ data to _____ data for trends and making timely, high-impact decisions that can influence the company’s bottom line.

What is managing and analyzing?

400

Bad data costs US businesses alone $_____ annually.

What is $600 billion?

500

Technology that helps you examine large amounts of data to discover patterns in the data.

What is data mining?

500

This level focuses on making tax professionals more proficient in developing reports and visualizations.

What is level 1?

500

A key issue is lack of data.

Why is tax not highly analytical? 

500

Data tax experts have typically worked with has been based on hindsight, but accounting experts can now aid their clients with information based on _____ and _____.

What are insights and foresight?

500

We perform _____ search queries every second on Google alone, _____ searches per year.

What is 40,000 and 1.2 trillion?