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 128

Advertising Machine Learning Software Measurement 128

FineReport

APRIL 9, 2024

From advanced analytics to predictive modeling, the evolving landscape of business intelligence is revolutionizing how data is processed and leveraged for actionable insights. Proactive Risk Management : BI tools enable organizations to proactively identify potential risks through predictive modeling and trend analysis.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Smarten

NOVEMBER 22, 2019

Augmented analytics and tools like Smart Visualization and Self-Serve Data Preparation , as well as Assisted Predictive Modeling can provide guidance and auto-suggestions and recommendations to make users more comfortable in adopting analytics and achieving positive outcomes.

Predictive Modeling 67

Predictive Modeling Data-driven Forecasting Visualization 67

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 119

Advertising Machine Learning Software Measurement 119

AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. You can collect metrics and events and analyze them for operational efficiency.

Analytics 73

Analytics Data Warehouse Data Lake Metadata 73

Birst BI

OCTOBER 30, 2018

Descriptive analytics techniques are often used to summarize important business metrics such as account balance growth, average claim amount and year-over-year trade volumes. The credit scores generated by the predictive model are then used to approve or deny credit cards or loans to customers. Accounts in use.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

O'Reilly on Data

DECEMBER 12, 2019

Residual analysis is another well-known family of model debugging techniques. Residuals are a numeric measurement of model errors, essentially the difference between the model’s prediction and the known true outcome. Interpretable ML models and explainable ML. Residual analysis.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

Business Over Broadway

SEPTEMBER 27, 2018

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. Your marketing strategy is only as good as your ability to deliver measurable results. underspecified) due to omitted metrics.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

DataRobot Blog

JULY 28, 2022

In addition to the accuracy of the models we built, we had to consider business metrics, cost, interpretability, and suitability for ongoing operations. Ultimately, the evaluation is based on whether or not the model delivers success to the customers’ business. which can lead to large prediction errors.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

Smarten

JUNE 29, 2018

For example, one might consider two groups of participants that are measured at two different “time points” or two groups that are subjected to two different “conditions” Paired T Test is used to evaluate the before and after of a situation, treatment, condition, etc. is the same in two related groups. About Smarten.

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

DataKitchen

SEPTEMBER 21, 2023

Moreover, advanced metrics like Percentage Regional Sales Growth can provide nuanced insights into business performance. Data in Use pertains explicitly to how data is actively employed in business intelligence tools, predictive models, visualization platforms, and even during export or reverse ETL processes.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

FineReport

APRIL 9, 2024

Furthermore, maintaining data security and compliance requires continuous vigilance and proactive measures to safeguard against potential vulnerabilities. The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Alation

APRIL 25, 2023

Predictive models indicate that the machine learning market will grow at a compound annual growth rate (CAGR) of 38.8% But remember to set achievable and measurable goals along the way. If your infrastructure doesn’t measure up, consider upgrading or replacing it. between 2022 and 2029.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Cloudera

FEBRUARY 16, 2022

Will the model correctly determine it is a muffin or get confused and think it is a chihuahua? The extent to which we can predict how the model will classify an image given a change input (e.g. blueberry spacing) is a measure of the model’s interpretability. The complete list is shown below: Model Lineage .

Machine Learning 81

Machine Learning Modeling Metadata Recreation/Entertainment 81

Alation

APRIL 25, 2023

Predictive models indicate that the machine learning market will grow at a compound annual growth rate (CAGR) of 38.8% But remember to set achievable and measurable goals along the way. If your infrastructure doesn’t measure up, consider upgrading or replacing it. between 2022 and 2029.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Smarten

DECEMBER 3, 2023

Users can replace guesswork and opinion with fact-based presentations and recommendations for more measurable analysis of trends, product pricing, financial investment, manufacturing and production and all other business factors.

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

Decision Management Solutions

NOVEMBER 13, 2018

Following this approach, everyone can clearly see what analytic will fit in the decision, how precise it needs to be, what data is needed, how it can be deployed, measured, explained, and more. Begin with operational decisions, not strategic ones.

Insurance 40

Insurance Analytics Modeling Visualization 40

BizAcuity

MARCH 8, 2019

Workforce Analytics in simple terms can be defined as an advanced set of software and methodology tools that measures, characterizes, and organizes sophisticated employee data and these tools helps in understanding the employee performance in a logical way. Derives metrics for benchmark interpretation and trends.

Analytics 73

Analytics Prescriptive Analytics Cost-Benefit Metrics 73

CIO Business Intelligence

AUGUST 15, 2023

In increasingly politicized times, easily performing RLAs can provide a measure of confidence to the interested voter that elections are being run properly.” And it yields multiple business metric improvements, such as limiting surplus inventory. The project also ensures technicians’ comfort and safety as they service customers.

IT 98

IT Manufacturing IoT Cost-Benefit 98

AWS Big Data

NOVEMBER 14, 2023

Another integration launched in 2023 is with Amazon Monitron to power predictive maintenance management. You can now stream measurement data and the corresponding inference results to Kinesis Data Streams, coordinate predictive maintenance, and build an IoT data lake.

IoT 56

IoT Data-driven Data Lake Data Strategy 56

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

The data scientist could try to build a single model that integrates all the signals together, but doing so typically relies on historical data to determine which features have the most predictive value. Over the life of the forecast, the data scientist will publish historical accuracy metrics.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Insight

FEBRUARY 19, 2020

The genre uniqueness is a measure of how unique a movie’s combination of genre categories is relative to all movies in my data set. The process of selecting and engineering features is laborious but crucial since the success of any model depends heavily on the quantity and quality of the input data (recall: “garbage in, garbage out!”).

Risk 67

Risk ROI Modeling Metrics 67

Domino Data Lab

OCTOBER 23, 2019

As a result, there has been a recent explosion in individual statistics that try to measure a player’s impact. One of the things this data set doesn’t have, however, is a single metric to rank both offensive and defensive performance in a single statistic. 05) in predicting changes in attendance. The R-squared value of.282

Statistics 59

Statistics Machine Learning Testing Modeling 59

Occam's Razor

JANUARY 7, 2019

There is too much goodness in modeling that you are not taking advantage of. From segmentation models to identifying incrementality to predictive modeling to survival analysis to clustering to time series to… I could keep going on and on. Hire an experienced statistician to be a part of your analytics team.

Marketing Analytics 88

Marketing Analytics Marketing Analytics Strategy 88

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. 5) Find improvement opportunities through predictions. 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

MARCH 13, 2024

Self-Serve Data Preparation Assisted Predictive Modeling Smart Data Visualization Machine Learning and Natural Language Processing (NLP) Clickless Search Analytics EXPECTATIONS AND RESULTS Once you have chosen the right augmented analytics solution, you must establish appropriate expectations.

Analytics 52

Analytics Predictive Modeling Strategy Enterprise 52

Smarten

JULY 31, 2019

How does one measure the effectiveness of a new Augmented Data Discovery solution? Once the business has chosen data democratization and implemented a self-serve analytics solution, it must measure ROI & TCO and establish metrics that will compare business results achieved before and after the implementation.

Predictive Modeling 40

Predictive Modeling Metrics Measurement ROI 40

Domino Data Lab

AUGUST 1, 2021

Intrinsic methods – this technique is based on ANNs that have been designed to output an explanation alongside the standard prediction. Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. See Wei et al.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

datapine

NOVEMBER 27, 2019

While we work on programs to avoid such inconvenience , AI and machine learning are revolutionizing the way we interact with our analytics and data management while increment in security measures must be taken into account. The fact is that it is and will affect our lives, whether we like it or not.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Alation

MAY 2, 2023

Data analytics techniques, such as machine learning (ML), artificial intelligence (AI), and predictive modeling, can help businesses extract valuable insights from this data to improve operations and customer experience. What are the benefits of data analytics in the hospitality industry?

Data Analytics 52

Data Analytics Analytics ROI Data Governance 52

Smarten

DECEMBER 3, 2023

What is self-service analytics? We should probably explain before we move on.

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

Alation

MAY 2, 2023

Data analytics techniques, such as machine learning (ML), artificial intelligence (AI), and predictive modeling, can help businesses extract valuable insights from this data to improve operations and customer experience. What are the benefits of data analytics in the hospitality industry?

Data Analytics 40

Data Analytics Analytics ROI Data Governance 40

Jet Global

MAY 1, 2023

As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. Manage compliance through up-to-the-minute performance measures, workflow automation, and essential regulatory reports. They can also create custom calculations and metrics, and build new data visualizations.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52