Business Over Broadway

SEPTEMBER 27, 2018

Retention marketing is about preventing your valuable customers from churning. In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. Most customer data, however, are housed in separate data silos.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 139

Predictive Analytics Analytics Predictive Modeling Data mining 139

Occam's Razor

JANUARY 7, 2019

My professional areas of interest cover Customer Service, User Experience and Finance, though here on Occam’s Razor my focus is on influencing incredible Marketing through the use of innovative Analytics. There is too much goodness in modeling that you are not taking advantage of. The Step Change Marketing Obsessions List.

Marketing Analytics 89

Marketing Analytics Marketing Analytics Strategy 89

DataRobot

NOVEMBER 14, 2019

Competition throughout the financial markets is becoming more intense and top-line growth is becoming more challenging than ever to achieve. The high volume of market data makes searching for hidden patterns and developing forward-looking predictive models unruly, cumbersome, and slow using traditional methods and technologies.

Marketing 14

Marketing Forecasting Predictive Modeling Modeling 14

CIO Business Intelligence

FEBRUARY 10, 2023

With the help of sophisticated predictive analytics tools and models, any organization can now use past and current data to reliably forecast trends and behaviors milliseconds, days, or years into the future. Predictive analytics has captured the support of wide range of organizations, with a global market size of $12.49

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

Smarten

MAY 16, 2019

Using marketing and advertising dollars to target the general market is not a wise use of funding. Every business today is challenged to do more with less and marketing budgets are no exception. Learn More: Marketing Optimization. View the Marketing Optimization Use Case Slide Share. Online Target Marketing.

Predictive Analytics 58

Predictive Analytics Optimization Marketing Analytics 58

Rocket-Powered Data Science

FEBRUARY 12, 2021

Consequently, as organizations everywhere are undergoing significant digital transformation, we have been witnessing increases both in the use of RPA in organizations and in the number of RPA products in the market. So, what about Intelligent Automation? IA incorporates feedback, learning, improvement, and optimization in the automation loop.

ROI 234

ROI Digital Transformation Reporting Machine Learning 234

O'Reilly on Data

SEPTEMBER 15, 2020

Likewise, AI doesn’t inherently optimize supply chains, detect diseases, drive cars, augment human intelligence, or tailor promotions to different market segments. They don’t automatically generate revenue and growth, maximize ROI, or keep users engaged and loyal. That’s why customer churn reduction is not a natural output of AI techniques.

Advertising 362

Advertising Cost-Benefit ROI Machine Learning 362

O'Reilly on Data

JUNE 18, 2019

Depending completely on human labeling for these examples is simply a non-starter; as ML models get more complex and the underlying data sources get larger, the need for more data increases, the scale of which cannot be achieved by human experts. Market validation. Alex Ratner on “Creating large training data sets quickly”.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

CIO Business Intelligence

FEBRUARY 6, 2025

In retail, they can personalize recommendations and optimize marketing campaigns. Even basic predictive modeling can be done with lightweight machine learning in Python or R. Imagine generating complex narratives from data visualizations or using conversational BI tools that respond to your queries in real time.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

O'Reilly on Data

SEPTEMBER 19, 2023

This is the power of marketing.) While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.” Financial markets and other economic situations are prime candidates for ABM.

Machine Learning 339

Machine Learning Testing Modeling Cost-Benefit 339

O'Reilly on Data

MARCH 23, 2021

On top of this, pre-existing societal biases are being reinforced and promulgated at previously unheard of scales as we increasingly integrate machine learning models into our daily lives. This was achieved through the convergence of mass media, modern marketing, and PR tactics. Put simply, we are reduced to the inputs of an algorithm.

Internet Publishing and Broadcasting 342

Internet Publishing and Broadcasting Broadcasting Data-driven Publishing 342

Smarten

SEPTEMBER 14, 2018

Just Simple, Assisted Predictive Modeling for Every Business User! No matter the market or type of business, there is no room in today’s business landscape for guesswork. And, with Assisted Predictive Modeling , you can make these tasks even easier. No Guesswork!

Predictive Modeling 40

Predictive Modeling Business Analytics Modeling Analytics 40

Smarten

MAY 17, 2019

To make the most out of online marketing, every organization must target the customers with the most promising profile. Predictive analytics can help the business to understand online buying behavior, and when, where and how to serve ads, market products and offer discounts or other incentives. Marketing Optimization.

Predictive Analytics 53

Predictive Analytics Marketing Analytics Predictive Modeling 53

IBM Big Data Hub

MAY 16, 2023

To help companies better deliver on their marketing vision and scale their marketing business processes, managed marketing services (MMS) offshore has become a fast growing trend. What are managed marketing services (MMS)? Traditionally, business processes tied to marketing are manual tasks completed in-house and onshore.

Marketing 69

Marketing Management Optimization Cost-Benefit 69

CIO Business Intelligence

JULY 5, 2022

Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more. Business analytics also involves data mining, statistical analysis, predictive modeling, and the like, but is focused on driving better business decisions.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

Smarten

NOVEMBER 23, 2023

Smarten is pleased to announce that its Smarten Augmented Analytics solution is included as a Representative Vendor in the Market Guide for Augmented Analytics Published October 2, 2023 (ID G00780764). The Smarten solution requires no data science skills, knowledge of statistical analysis or BI expertise.

Publishing 64

Publishing Marketing Analytics Predictive Modeling 64

Cloudera

DECEMBER 4, 2024

To unlock the full potential of AI, however, businesses need to deploy models and AI applications at scale, in real-time, and with low latency and high throughput. This is where the Cloudera AI Inference service comes in.

Metrics 73

Metrics Data Processing Machine Learning Deep Learning 73

Juice Analytics

APRIL 21, 2021

There are many choices: Dashboards Reports Self-service BI tools Predictive models One-off analyses using slides Spreadsheet models It is a confusing array of ways to deliver data to these data consumers. In what form do you answer the growing array of questions and needs? What’s the right tool for the job?

Advertising 133

Advertising Data-driven Dashboards Predictive Modeling 133

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. Most BI software in the market are self-service. BI and BA Use-Case Scenarios?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Occam's Razor

NOVEMBER 18, 2014

In each case the creator did something interesting that made me wonder how I can use their strategy in my daily efforts in service of digital marketing and analytics. In the other two, I'll ask for your help in how you might connect the inspiration to your work as a Marketer/Analyst. Thank goodness for predictive models.

Visualization 145

Visualization Slice and Dice Predictive Modeling Metrics 145

Rocket-Powered Data Science

JULY 6, 2021

Customer purchase patterns, supply chain, inventory, and logistics represent just a few domains where we see new and emergent behaviors, responses, and outcomes represented in our data and in our predictive models.

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

BizAcuity

NOVEMBER 13, 2024

This strategic approach enables organizations to prioritize data projects that support their key goals, whether they aim to improve customer experience, reduce costs, or expand into new markets. Advanced Analytics and Predictive Insights The real value of data lies in its ability to forecast trends and identify opportunities.

Consulting 52

Consulting Data-driven Cost-Benefit Business Intelligence 52

Smart Data Collective

APRIL 10, 2020

Taking control of the data that you have can not only improve information accessibility within your company but provide a range of benefits that can be the driving force behind gaining a competitive advantage in your market. But how exactly can big data help? Hyper-Targeted Customer Segmentation. Cut Costs & Improve Efficiency.

Big Data 145

Big Data Cost-Benefit Metrics Marketing 145

Occam's Razor

AUGUST 9, 2021

Might I suggest you start by looking at this prediction and then brainstorm with your Marketing team how you can overcome the shortfall in revenue! Obviously in the rare case the Revenue Prediction is higher than target, you all can cash in your vacation days and visit Cancun. Predictive Metrics Nirvana – An Example.

Metrics 143

Metrics Analytics Key Performance Indicator Predictive Modeling 143

Rocket-Powered Data Science

JULY 13, 2023

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”).

Analytics 167

Analytics Machine Learning Data Science Data Collection 167

CIO Business Intelligence

OCTOBER 2, 2024

According to IDC, the IoT market in the Middle East and Africa is set to surpass $30.2 Meanwhile, predictive modeling anticipates resource needs and potential infrastructure failures, and anomaly detection allows for prompt identification and mitigation of environmental hazards and security threats. from 2023 to 2028.

IoT 123

IoT Internet of Things Predictive Modeling Data-driven 123

CIO Business Intelligence

MAY 21, 2024

Multimodal foundation models combine multiple modes, such as text, audio, image, and video, and are capable of generating captions for images or answering questions about images, according to IDC’s Market Glance: Generative Foundation AI Models. With this model, patients get results almost 80% faster than before.

IT 131

IT Cost-Benefit Experimentation Forecasting 131

DataKitchen

JANUARY 17, 2022

Customers and market forces drive deadlines and timeframes for analytics deliverables regardless of the level of effort required. This large enterprise has many products and brands with overlapping marketing campaigns. The company invested significant effort into managing lists of potential prescribers for certain drugs and treatments.

Experimentation 130

Experimentation Data Lake Predictive Modeling Marketing 130

Smart Data Collective

SEPTEMBER 17, 2020

There is significant competition in the industry, and emerging tactics and strategies must be accepted to survive the market competition. Big Data can efficiently enhance the ways firms utilize predictive models in the risk management discipline. Using big data, firms can boost the quality and standards of their services.

Big Data 145

Big Data Finance Risk Management Risk 145

CIO Business Intelligence

DECEMBER 19, 2024

Skills in Python, R, TensorFlow, and Apache Spark enable professionals to build predictive models for energy usage, optimize resource allocation, and analyze environmental impacts. This is where machine learning algorithms become indispensable for tasks such as predicting energy loads or modeling climate patterns.

IT 52

IT IoT Machine Learning Optimization 52

CIO Business Intelligence

MAY 10, 2022

A customer data platform (CDP) is a prepackaged, unified customer database that pulls data from multiple sources to create customer profiles of structured data available to other marketing systems. While a wide range of teams within a company may benefit from a CDP, such platforms are most beneficial to marketers. Types of CDPs.

Advertising 122

Advertising Interactive Marketing Structured Data 122

Smart Data Collective

AUGUST 7, 2019

The main goal of a customer data platform is to make sense of all customer information, create a unified profile and allow marketers to work with the results efficiently. With the role of marketers in mind, a CDP can not only analyze data but also provide additional functionalities such as business intelligence and reporting.

Data Analytics 111

Data Analytics Analytics Big Data Advertising 111

CIO Business Intelligence

MARCH 22, 2022

It emulates and predicts extreme weather events such as hurricanes or atmospheric rivers like those that brought flooding to the Pacific Northwest and to Sydney, Australia, in early March. Nvidia claims it can do so up to 45,000 times faster than traditional numerical prediction models.

Modeling 144

Modeling Machine Learning Forecasting Optimization 144

datapine

AUGUST 14, 2019

There are a number of tools available on the market, and knowing which one to choose to increase performance can be time-consuming, and often confusing. The use of machine learning, predictive analytics, and various data connectors that enable the user to work with enormous amounts of databases, flat files, marketing analytics, CRM, etc.,

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

BizAcuity

JULY 13, 2021

Optimize your Go To Market: The gaming business consists of various applications like the gaming platforms (Casino, Live Dealer, Poker, Sports, Bingo, etc.), account platform, payment, affiliate, loyalty system, bonus and promotion systems, financial application, CRM system, and many others.

Optimization 52

Optimization Marketing Analytics Data Warehouse 52

Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Market Changes. Access to Flexible, Intuitive Predictive Modeling. Online Target Marketing.

Predictive Analytics 69

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 69