Smarten

MAY 16, 2019

Using marketing and advertising dollars to target the general market is not a wise use of funding. Use Assisted Predictive Modeling and Predictive Analytics to gain critical insight into target customers and define the marketing and channels best suited for those targets. Learn More: Marketing Optimization.

Predictive Analytics 56

Predictive Analytics Optimization Marketing Analytics 56

CIO Business Intelligence

MAY 26, 2022

Expectedly, advances in artificial intelligence (AI), machine learning (ML), and predictive modeling are giving enterprises – as well as small/medium-sized businesses – a never-before opportunity to automate their recruitment even as they deal with radical changes in workplace practices involving remote and hybrid work.

Advertising 111

Advertising Machine Learning Software Measurement 111

CIO Business Intelligence

MAY 28, 2022

Expectedly, advances in artificial intelligence (AI), machine learning (ML), and predictive modeling are giving enterprises – as well as small/medium-sized businesses – a never-before opportunity to automate their recruitment even as they deal with radical changes in workplace practices involving remote and hybrid work.

Advertising 103

Advertising Machine Learning Software Measurement 103

bridgei2i

DECEMBER 15, 2021

Naturally, the change in consumer behavior prompted media companies to change their business models. As OTT platforms amass viewer attention, it becomes increasingly obvious for advertisers to place their money on streaming platforms. Anticipating Demand through Predictive Modelling on OTT.

Recreation/Entertainment 52

Recreation/Entertainment Metadata Advertising Predictive Modeling 52

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

MAY 14, 2019

If the business can market and advertise and reach out to customers to get them to make that purchasing decision at the right time and in the right way, the business is more likely to succeed. Learn More: Product and Service Cross-Sell and Upsell. View the Product and Service Cross-Selling and Upselling. Customer Targeting. Customer Churn.

Predictive Analytics 51

Predictive Analytics Analytics Predictive Modeling Advertising 51

CIO Business Intelligence

MAY 10, 2022

Gartner defines a CDP as “a marketing technology that unifies a company’s customer data from marketing and other channels to enable customer modeling and to optimize the timing and targeting of messages and offers.”. Treasure Data CDP is a data science CDP built for predictive modeling and advanced analytics. Treasure Data CDP.

Advertising 98

Advertising Interactive Marketing Data Integration 98

Smarten

MAY 15, 2019

If you can identify the reasons a certain customer buys a product or service, you can create products, marketing messages, and advertising to target those customers that are most likely to buy and to return and buy your products again. Learn More: Customer Targeting . View the Customer Targeting Use Case Slide Share.

Predictive Analytics 51

Predictive Analytics Analytics Predictive Modeling Recreation/Entertainment 51

Smarten

MAY 13, 2019

The cost of acquiring a new customer includes marketing and advertising, resources and personnel, customer support, search engine optimization and more. We invite you to explore other use cases and discover how predictive analytics, and assisted predictive modeling can help your business to achieve its goals.

Predictive Analytics 51

Predictive Analytics Analytics Predictive Modeling Advertising 51

The Unofficial Google Data Science Blog

MARCH 31, 2016

KUEHNEL, and ALI NASIRI AMINI In this post, we give a brief introduction to random effects models, and discuss some of their uses. Through simulation we illustrate issues with model fitting techniques that depend on matrix factorization. Random effects models are a useful tool for both exploratory analyses and prediction problems.

Modeling 40

Modeling Statistics Advertising Testing 40

Jedox

MAY 17, 2022

The first three techniques have the same thing in common: they take existing data and attempt to use it to build future-facing models. Thus, no predictive model works to predict elections, despite the best efforts of many to the contrary. The stock market is an excellent example of this. The net effect?

Predictive Analytics 83

Predictive Analytics Finance Analytics Forecasting 83

datapine

MARCH 25, 2022

While some experts try to underline that BA focuses, also, on predictive modeling and advanced statistics to evaluate what will happen in the future, BI is more focused on the present moment of data, making the decision based on current insights. The end-user is another factor to consider. For example, selling swimwear during summer.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Smart Data Collective

AUGUST 7, 2019

This unstructured information is essential in effectively coming up with advertising and marketing campaigns that are data-driven. Creating predictive models. A data management platform is unique in the sense that its primary function is to collect and organize data coming from first-hand, second-hand, and third-party sources.

Data Analytics 100

Data Analytics Analytics Big Data Data Lake 100

MLWhiz

NOVEMBER 30, 2014

In online advertising, click-through rate (CTR) is a very important metric for evaluating ad performance. As a result, click prediction systems are essential and widely used for sponsored search and real-time bidding. For this competition, we have provided 11 days worth of Avazu data to build and test prediction models.

Advertising 40

Advertising Predictive Modeling Metrics Testing 40

IBM Big Data Hub

FEBRUARY 14, 2024

Personalize customer experiences The use of AI is effective for creating personalized experiences at scale through chatbots, digital assistants and customer interfaces , delivering tailored experiences and targeted advertisements to customers and end-users. AIOps is one of the fastest ways to boost ROI from digital transformation investments.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

Juice Analytics

MARCH 11, 2021

Predictive models to take descriptive data and attempt to tell the future. The right product manager We’ve helped launch data products in many industries including healthcare, education, insurance, advertising and market research. She enhances data through predictive modeling and other advanced data analytics techniques.

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

Cloudera

APRIL 27, 2021

There are huge opportunities in the North American cable market to grow the base through smart customer acquisition; grow customer lifetime value through portfolio optimization, content library analytics and enhanced retention; and dramatically improve customer experience through predictive modelling and integrated experience management.The secret?

Recreation/Entertainment 67

Recreation/Entertainment Advertising IoT Predictive Modeling 67

Domino Data Lab

JULY 9, 2019

Assessing whether a business stakeholder is trying to solve for a problem that is descriptive, predictive, or prescriptive and then re-framing the problem as supervised learning, unsupervised learning, or reinforcement learning, respectively. One of the ways I frame that is, “Are you looking to build a predictive model?

Data Science 112

Data Science Machine Learning Advertising Modeling 112

datapine

JANUARY 31, 2022

For example, in regards to marketing, traditional advertising methods of spending large amounts of money on TV, radio, and print ads without measuring ROI aren’t working like they used to. Consumers have grown more and more immune to ads that aren’t targeted directly at them.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Smarten

JUNE 21, 2018

This article provides a brief explanation of the Holt-Winters Forecasting model and its application in the business environment. 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.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

Cloudera

NOVEMBER 2, 2020

An AdTech company in the US provides processing, payment, and analytics services for digital advertisers. Data Model. Small or medium sized models; dimensional and denormalized mainly, occasionally more normalized model. One other example highlights this trend. Data processing and analytics drive their entire business.

Data Warehouse 94

Data Warehouse Optimization Dashboards Interactive 94

Smarten

JUNE 29, 2018

Business Problem: A grocery store sales manager wants to know whether daily sales have increased after an advertising campaign. Business Benefit: Once the test is completed, p-value is generated which indicates whether there is a statistical difference between the average daily sales- pre and post an advertising campaign.

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

Occam's Razor

JANUARY 7, 2019

Does Facebook advertising really work better than TV? Does swapping out male model posters for cute animals triple sales? Throw away your custom attribution model. From the tens of hours saved per week, figure out how to feed offline data into your data driven attribution model. Or, to disprove it. What drives the second?

Marketing Analytics 88

Marketing Analytics Marketing Analytics Strategy 88