Smarten

JUNE 29, 2018

At 95% confidence level (5% chance of error): As p-value = 0.041 which is less than 0.05, there is a statistically significant difference between means of pre and post sample values. Business Problem: A grocery store sales manager wants to know whether daily sales have increased after an advertising campaign.

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

Occam's Razor

MARCH 23, 2021

Finally, few analytics teams obsess about predictive analytics in a way that allows them to dictate future action. Does advertising really have a long-term business impact ? When you only look backwards, it limits your ability to have an impact. Is campaign strategy x better than campaign strategy y ? Here’s an example.

Analytics 131

Analytics Scorecard Strategy Testing 131

Data Science 101

OCTOBER 31, 2019

Banks use classification to predict if a client is going to default loan payment or not based on the client’s activities. Regression Analysis is a statistical method for examining the relationship between two or more variables. Regression.

Data mining 77

Data mining KDD Data Science Forecasting 77

datapine

MARCH 25, 2022

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. What Is Business Intelligence And Analytics?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Occam's Razor

JANUARY 6, 2010

The second was about predictive analytics and how using massive integrations between online and offline databases they had accomplished some really cool reporting of data (and make no doubt the IT work done over 18 months to accomplish this was cool). 2 Learn basic statistics. Hello statistical significance ! #3

Analytics 99

Analytics IT Statistics Metrics 99

datapine

MAY 16, 2019

A sobering statistic if ever we saw one. Here, we will look at restaurant data analytics, restaurant predictive analytics, analytics software for restaurants, and the specific ways that big data can help boost your business prospects across the board. The Role Of Predictive Analytics In Restaurants.

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

datapine

AUGUST 29, 2022

7) Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die by Eric Siegel. Best for: someone who has heard a lot of buzz about predictive analytics, but doesn’t have a firm grasp on the subject. Stein Kretsinger, founding executive, Advertising. Davenport.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

O'Reilly on Data

MARCH 18, 2020

Two functional areas—marketing/advertising/PR and operations/facilities/fleet management—see usage share of about 20%. data cleansing services that profile data and generate statistics, perform deduplication and fuzzy matching, etc.—or (Respondents were encouraged to make multiple selections.) or function-as-a-service designs.

Enterprise 307

Enterprise Deep Learning Data Governance Risk 307

datapine

NOVEMBER 19, 2019

Other potential applications of computer vision in 2020 include: Brand safety: When it comes to programmatic advertising, images play an important role in encouraging readers to engage. Currently, popular approaches include statistical methods, computational intelligence, and traditional symbolic AI.

Technology 279

Technology Internet of Things IT IoT 279

Smarten

APRIL 19, 2022

They can analyze how product opinions change over time and understand sentiments to improve the response to product reviews, movie or book reviews, advertising campaigns, Amazon product reviews, social media tweets and comments, news headlines media content, and more.

Slice and Dice 57

Slice and Dice Business Intelligence Advertising Predictive Modeling 57

Smarten

NOVEMBER 26, 2023

Put simply, data democratization enables every team member in a business to work with and understand data without technical or statistical training or knowledge. Benefits of Business Intelligence for the Enterprise Data Democratization – Business Intelligence (BI) software enables data democratization. What is data democratization?

Business Intelligence 40

Business Intelligence Data-driven Reporting Advertising 40

DataRobot

DECEMBER 8, 2021

As noted in this report from Forrester®, “four out of five global data and analytics decision makers say that their firms want to become more data-driven and perform more advanced predictive analytics and artificial intelligence projects. Traditional statistics simply don’t work on this scale. Marketing Mix Optimization.

Customer Analytics 97

Customer Analytics Analytics Data-driven Advertising 97

Alation

JANUARY 27, 2022

Data analytics. Modern businesses are increasingly leveraging analytics for a range of use cases. Analytics can help a business improve customer relationships, optimize advertising campaigns, develop new products, and much more. Analytics can identify patterns that depict risks, opportunities, and trends.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

Smarten

JUNE 21, 2018

Time series forecasting methods are used to extract and analyze data and statistics and characterize results to more accurately predict the future based on historical data. Business Benefit : Helps in planning for repeat telecast and for more advertisement (fund raising) if the projected count of viewers is high.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40