Rocket-Powered Data Science

OCTOBER 6, 2023

Using the same statistical terminology, the conditional probability P(Y|X) (the probability of Y occurring, given the presence of precondition X) is an expression of predictive analytics. By exploring and analyzing the business data, analysts and data scientists can search for and uncover such predictive relationships.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

IBM Big Data Hub

SEPTEMBER 6, 2023

From customized content creation to task automation and data analysis, AI has seemingly endless applications when it comes to marketing, but also some potential risks. They can also reduce the likelihood of human error, deliver more personalized customer messages and identify at-risk customers. What is AI marketing?

Marketing 80

Marketing Technology Advertising ROI 80

IBM Big Data Hub

JUNE 29, 2023

This information is then used to build predictive models of an asset’s performance over time and help spot potential problems before they arise. One of the ways maintenance managers refine and improve predictive analytics to increase asset reliability is through the creation of a digital twin.

Cost-Benefit 81

Cost-Benefit Measurement Management Predictive Analytics 81

Smart Data Collective

JULY 17, 2019

Companies that strive to provide better senior care can use machine learning, robotics and predictive analytics to better meet the needs of their residents without having to worry about a frustrating staffing shortage. Addressing specific health risks facing seniors. Cutting marketing costs.

Cost-Benefit 83

Cost-Benefit Machine Learning Advertising IoT 83

BizAcuity

APRIL 25, 2022

The casino operators are expected to face known challenges of rising competition, decreasing ROI, and a high churn rate. ROI is sacrosanct for a casino business. No ROI, no investment. Casinos have to continuously work on the game mix such that they are able to generate ROI while managing player win expectations.

Marketing 52

Marketing Strategy ROI Digital Transformation 52

Corinium

APRIL 25, 2019

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk. Now, there is a data risk here.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Smart Data Collective

DECEMBER 15, 2020

The market you specialize in should very much depend on your own interests, as well as your financial position, your attitude to risk, the hours you plan to spend trading, and various other factors. Understand the risk with predictive analytics risk scoring algorithms.

Data Analytics 65

Data Analytics Analytics Big Data Risk 65

Smart Data Collective

JULY 28, 2021

They have found that using big data can make it easier to streamline their business models and improve their overall ROI. Naturally, automation of any process within your business comes with risks, even when you use the most sophisticated data-driven capabilities to develop a strong competitive edge.

Data-driven 133

Data-driven Big Data Manufacturing ROI 133

Decision Management Solutions

OCTOBER 1, 2021

In fact, companies are spending millions of dollars on deployments of artificial intelligence (AI) and machine learning (ML) technology, but these are often inefficient and show poor ROI. How can you harness the power of prediction to positively impact your business outcomes? What are the successful companies doing differently?

Machine Learning 52

Machine Learning ROI Risk Management 52

Sisense

OCTOBER 29, 2021

While even the most advanced analytics systems can’t tell you everything to expect in the months to come, we’ve once again rounded up some of the stories in the news we think you should be aware of to see what’s new in the world of embedded analytics and how you could be doing more with your data. How many people are you reaching?

Analytics 52

Analytics Testing Predictive Analytics Data-driven 52

Smart Data Collective

AUGUST 21, 2019

They can use many different types of machine learning and predictive analytics technology to get the most of it. A growing number of advertising platforms such as Facebook are using AI and other big data technology to get more value for their marketers, which means that your ROI will be higher as a marketer of digital products.

Big Data 78

Big Data Sales Marketing Predictive Analytics 78

datapine

JANUARY 6, 2022

Before any serious data analysis can begin, the scale of measurement must be decided for the data as this will have a long-term impact on data interpretation ROI. Predictive analysis: As its name suggests, the predictive analysis method aims to predict future developments by analyzing historical and current data.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Alation

JANUARY 27, 2022

Data analytics is a way to make sense of raw data. Analytics can identify patterns that depict risks, opportunities, and trends. And historical data can be used to inform predictive analytic models, which forecast the future. The insights gained from analytics can provide value to businesses in several ways.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

Alation

MARCH 21, 2023

What’s more, many companies struggle with rigid legacy technologies that increase the risk of a data breach. Otherwise, they risk a data privacy violation. How is data analytics used in the travel industry? Regulatory compliance Additionally, this PII is often highly regulated.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

IBM Big Data Hub

FEBRUARY 14, 2024

AIOps is one of the fastest ways to boost ROI from digital transformation investments. Clean up with predictive maintenance AI can be used for predictive maintenance by analyzing data directly from machinery to identify problems and flag required maintenance. See what’s ahead AI can assist with forecasting.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

datapine

OCTOBER 11, 2023

It allows for informed decision-making and efficient risk mitigation. In time, this will help you increase customer satisfaction and skyrocket warehouse ROI. Among the many strategies and technologies organizations use to keep these costs at a minimum, predictive analytics is one of the most effective ones.

Metrics 217

Metrics KPI Management Cost-Benefit 217

datapine

MARCH 15, 2019

An official information intelligence definition from IGI Global suggests: [Information intelligence is] the technique of turning large volumes of complex data into relevant and actionable intelligence in order to better manage risk and increase profitability.

Technology 143

Technology Cost-Benefit KPI Dashboards 143

Jet Global

MAY 1, 2023

Return on Investment Now we bring it all together to calculate the ROI on embedded analytics. Costs: The investment in developing and maintaining the solution. “-1”: The formula assures that a positive ROI is achieved only when benefits exceed the costs. Benefits: The combination of strategic benefits (e.g., cost reduction).

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Smarten

JUNE 25, 2018

Business Benefit: By identifying mean/median income of this segment, one can target marketing to this segment in order to improve ROI and sales revenue. Business Problem: A stock broker wants to analyze the price volatility of a stock as a measure of risk. Be sure to choose the right method for the type of data. 6) Skewness/Histogram.

Statistics 40

Statistics Enterprise Measurement Business Intelligence 40

Smart Data Collective

DECEMBER 19, 2019

According to the CTO of McAfee, it is very unfortunate that AI provides cybercriminals with the right tools to enjoy a great ROI. The feedback gathered from the respondents pointed out the following potential risks associated with implementing AI to handle cybersecurity threats. Here is a list of how AI can be misused.

Machine Learning 61

Machine Learning Reporting Testing Marketing 61

Jet Global

FEBRUARY 1, 2024

Zooming out of the build vs. buy debate, your customers want your application to include advanced analytics that is easy to use, will scale with them as they grow, quickly delivers ROI, and offers both the security and quality their company needs. Release updates more frequently, keeping users engaged and feedback flowing.

Analytics 52

Analytics Dashboards Reporting Marketing 52

datapine

NOVEMBER 5, 2019

If you fail to do so, you risk damages in your productivity and costs. Predicting the future. When you need to secure a beneficial and positive performance for your business, a business performance management dashboard will obtain advanced features such as predictive analytics.

Dashboards 220

Dashboards Cost-Benefit Sales Metrics 220

datapine

JANUARY 18, 2023

With this information in hand, businesses can build strategies based on analytical evidence and not simple intuition. With the use of the right BI reporting tool businesses can generate various types of analytical reports that include accurate forecasts via predictive analytics technologies.

Reporting 201

Reporting Metrics Dashboards Visualization 201

datapine

OCTOBER 30, 2019

3) Investigative report: Helps determine the risks involved with a specific course of action. Prescriptive, descriptive, and predictive analytics are becoming increasingly popular in recent years. Also, you should always proofread! Make Sure The Report Is Actionable. That being said, make sure your report has a conclusion.

Reporting 127

Reporting Visualization Dashboards KPI 127

Andrew White

JANUARY 11, 2021

Some data is more a risk than valuable. What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer? Risk Management (most likely within context of governance). Note: Delivery of data, analytics solutions and the sustainment of technology, data and services is a question.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52