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.’ Hypothesis Testing. Access to Flexible, Intuitive Predictive Modeling. Trends and Patterns.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

Smarten

MAY 29, 2023

To satisfy the enterprise budgetary restrictions, a Software as a Service (SaaS) solution may be the way to go. Look for a solution that provides the following capabilities: A Free Trial period during which the organization can test the solution against requirements. Automatic generation of models. Advanced data preparation.

Prescriptive Analytics 52

Prescriptive Analytics Predictive Modeling Digital Transformation Business Objectives 52

Smarten

APRIL 12, 2023

SnapShot Monitoring provides powerful data analytical features that reveal trends and anomalies and allow the enterprise to map targets and adapt to changing markets with clear, prescribed actions for continuous improvement. Smarten announces the launch of SnapShot Anomaly Monitoring Alerts for Smarten Augmented Analytics.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

Smarten

JUNE 26, 2018

This article describes chi square test of association and hypothesis testing. What is the Chi Square Test of Association Method of Hypothesis Testing? Let’s conduct the Chi square test of independence using two variables: Gender and Product category. Use Case – 1. About Smarten.

Testing 40

Testing Statistics IT Business Intelligence 40

Smarten

JULY 23, 2019

Put simply, predictive analytics is a method used to forecast and predict the future results and needs of an organization using historical data and a comprehensive set of data from across and outside the enterprise. Predictive Modeling allows users to test theories and hypotheses and develop the best strategy.

Modeling 63

Modeling Predictive Analytics Predictive Modeling IT 63

AWS Big Data

NOVEMBER 10, 2023

The business opportunity There are 19 predictive models in scope for utilizing 93 features built with AWS Glue across Capitec’s Retail Credit divisions. These tables are then joined with tables from the Enterprise Data Lake (EDL) at runtime. He is focused on designing and building Feature Store components for enterprise use.

Data Processing 93

Data Processing Data Lake Data Warehouse Optimization 93

Smarten

JUNE 17, 2022

After completion of the testing procedure, the certificate is provided to show that all requirements were met. The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

DataRobot

MAY 25, 2021

DataRobot is excited to be awarded the 2021 ACT-IAC Innovation Award for ContagionNET, our pioneering rapid antigen test for COVID-19 that is at the forefront of pandemic preparedness and response. As part of these efforts, we built accurate predictive models to determine the spread of the disease weeks and months in advance of a surge.

Testing 52

Testing Predictive Modeling Data-driven Reporting 52

CIO Business Intelligence

JUNE 7, 2022

Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results. Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Smarten

JANUARY 21, 2019

Learning for Citizen Data Scientists and Data Literacy Across the Enterprise! So you want to transform your business users and encourage learning for Citizen Data Scientists to enable data literacy across your enterprise? Chi Square Test. Paired Sample T Test. Dependent Sample T-Test. Independent Samples T Test.

Analytics 40

Analytics Predictive Modeling Forecasting Testing 40

Smarten

JUNE 29, 2018

’ ARIMAX is related to the ARIMA technique but, while ARIMA is suitable for datasets that are univariate (see the article, entitled’ What is ARIMA Forecasting and How Can it Be Used for Enterprise Analysis?’). How Can ARIMAX Forecasting Be Used for Enterprise Analysis?

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

IBM Big Data Hub

APRIL 28, 2022

Data agility, the ability to store and access your data from wherever makes the most sense, has become a priority for enterprises in an increasingly distributed and complex environment. enterprises to minimize their time to value. Data fabric in action: Retail supply chain example. How does a data fabric impact the bottom line?

Metadata 78

Metadata Data Warehouse Forecasting Predictive Modeling 78

BizAcuity

APRIL 1, 2023

For predictive analytics to deliver high accuracy, a lot depends on the combination of domain knowledge and technical expertise. With the exponential growth of large datasets, predictive analytics is being leveraged by enterprises across industries. Predictive Analytics can help businesses in reducing risk (eg.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Smarten

NOVEMBER 8, 2022

Participants will gain a basic understanding of applicable analytical techniques, including predictive analytics, how to apply these techniques to real world business use cases and the augmented analytics tools they can use to make fact-based decisions and move the organization forward.

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 52

Smarten

APRIL 17, 2018

How Can Assistive Predictive Modeling Help My Business Users? In order to achieve goals and objectives and perform well in their respective roles, business users need to analyze data, draw conclusions, predict results and help the organization achieve its goals.

Predictive Analytics 40

Predictive Analytics Predictive Modeling Analytics Forecasting 40

BizAcuity

JANUARY 18, 2023

For predictive analytics to deliver high accuracy, a lot depends on the combination of domain knowledge and technical expertise. With the exponential growth of large datasets, predictive analytics is being leveraged by enterprises across industries. Predictive Analytics can help businesses in reducing risk (eg.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Smarten

SEPTEMBER 26, 2018

How Can My Business Use Assisted Predictive Modeling to Optimize Resources? There was a time, not so long ago, when predictive analysis, business forecasting and planning for results involved guesswork and lots of unscientific review of historical data.

Predictive Modeling 40

Predictive Modeling Predictive Analytics Forecasting Optimization 40

CIO Business Intelligence

OCTOBER 13, 2023

As this technology becomes more popular, it’s increased the demand for relevant roles to help design, develop, implement, and maintain gen AI technology in the enterprise. This role is responsible for training, developing, deploying, scheduling, monitoring, and improving scalable machine learning solutions in the enterprise.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Smarten

JUNE 26, 2018

q: to apply moving average model on series. How Can the ARIMA Forecasting Method Be Used for Enterprise Analysis? Business Problem: A pharmaceutical company wants to predict the sales of a drug for the next two months, based on drug sales data from the past 12 months.

Forecasting 40

Forecasting Enterprise IT Sales 40

Smarten

JUNE 25, 2019

Augmented analytics allows for data prep, Smart Data Visualization and Assisted Predictive Modeling with the help of machine learning and natural language processing (NLP), so users need not be trained as data scientists to get to the heart of the data and find those elusive nuggets of information that will help them create, change and improve.

Analytics 51

Analytics Predictive Modeling Visualization Machine Learning 51

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. When business decisions are made based on bad models, the consequences can be severe. In other words, model risk can lead to tangible losses for the bank and its shareholders.

Risk 111

Risk Modeling IT Risk Management 111

Smarten

MAY 17, 2019

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. Predictive analytics will help you optimize your marketing budget and improve brand loyalty. Learn More: Online Target Marketing Use Case. Customer Targeting.

Predictive Analytics 51

Predictive Analytics Marketing Analytics Predictive Modeling 51

Smarten

JUNE 29, 2018

How Can the Karl Pearson Correlation Method Be Used to Target Enterprise Analytical Needs? The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Enterprise 40

Enterprise IT Statistics Business Intelligence 40

Smarten

JUNE 29, 2018

Here is a sample of simple linear regression analysis, considering the effects of temperature on crop yield: Simple linear regression is limited to predicting numeric output i.e., dependent variable has to be numeric in nature. How Can the Enterprise Use Simple Linear Regression to Analyze Data? Use Case – 1.

Enterprise 40

Enterprise Sales Statistics Business Intelligence 40

IBM Big Data Hub

JUNE 29, 2023

Enterprises are constantly looking for new ways to optimize performance, increase reliability and extend asset lifespans—all without adding unnecessary costs. This information is then used to build predictive models of an asset’s performance over time and help spot potential problems before they arise.

Cost-Benefit 80

Cost-Benefit Measurement Management Predictive Analytics 80

CIO Business Intelligence

OCTOBER 5, 2023

As chief digital and technology officer at CBRE, Davé recognized early that the commercial real estate industry was ripe for AI and machine learning enhancements, and he and his team have tested countless use cases across the enterprise ever since. For AI, the high-value quadrant is where you’ll find most predictive modeling.

Experimentation 130

Experimentation Strategy Machine Learning Interactive 130

Smarten

MAY 14, 2019

Augmented analytics can help the enterprise to develop a better understanding of customers and their buying behavior and expand that knowledge to identify opportunities for new products and services. It can also help to develop appropriate marketing messages to target specific customer segments and demographics. Customer Targeting.

Predictive Analytics 51

Predictive Analytics Analytics Predictive Modeling Advertising 51

Smarten

JUNE 29, 2018

As the majority class = Good for the three nearest neighbors (two out of three records have class = Good), predicted class of an instance = Good, i.e. quality of a paper tissue having acid durability =3 and strength =7 is good. How Can KNN Classification Help an Enterprise?

Enterprise 40

Enterprise Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 25, 2018

How Does an Enterprise Use the KMeans Clustering Algorithm to Analyze Data? The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

CIO Business Intelligence

MAY 26, 2022

Across the world, enterprises are putting an emphasis on creating and retaining the best, brightest, and most diverse employee pool. It is expected to grow at a rate of over 12% annually until 2028 on the back of continued digitization and automation of recruiting and HR operations. Human Resources, SaaS

Advertising 128

Advertising Machine Learning Software Measurement 128

Smarten

JUNE 29, 2018

How Can Naïve Bayes Be Used for Enterprise Analysis? an organization can predict if it will be rainy/sunny/windy tomorrow. Naïve Bayes performs well in cases of categorical input variables compared to numerical variables. For numerical variable, normal distribution is assumed which is a strong assumption.

Enterprise 40

Enterprise IT Business Intelligence Forecasting 40

DataRobot

JUNE 4, 2021

DataRobot enables organizations to leverage the transformational power of machine learning by delivering the world’s most trusted enterprise AI platform that spans the full lifecycle from data to value. DataRobot wraps all of this into an easy-to-use, enterprise-grade platform. However, we’d like to let you in on a little secret.

Forecasting 52

Forecasting Machine Learning Predictive Modeling Modeling 52

Smarten

JUNE 10, 2022

Recent studies have focused on the trends in business intelligence and augmented analytics, predicting that businesses will grow analytics within the enterprise with: Augmented Analytics to enable non-technical business users to create sophisticated data models. Assisted Predictive Modeling.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

CIO Business Intelligence

MAY 28, 2022

Across the world, enterprises are putting an emphasis on creating and retaining the best, brightest, and most diverse employee pool. It is expected to grow at a rate of over 12% annually until 2028 on the back of continued digitization and automation of recruiting and HR operations. Human Resources, SaaS

Advertising 120

Advertising Machine Learning Software Measurement 120

Smarten

AUGUST 21, 2019

Assisted Predictive Modeling – These tools enable the average business user to leverage sophisticated predictive algorithms without requiring statistical or data science skills. Users can highlight trends and patterns, test hypotheses and theories to reduce business risk, and easily predict and forecast results.

Analytics 51

Analytics Predictive Modeling Visualization Statistics 51

CIO Business Intelligence

AUGUST 23, 2023

“You’re able to select a smaller number of stocks with predictive return and lower operational and transaction costs, which ultimately means that you can reduce the variability and more accurately predict returns,” Muthukrishnan says. It’s important for us to test the technology and be ready,” Muthukrishnan says.

IT 96

IT Machine Learning Risk Optimization 96

Domino Data Lab

JULY 28, 2021

There are many software packages that allow anyone to build a predictive model, but without expertise in math and statistics, a practitioner runs the risk of creating a faulty, unethical, and even possibly illegal data science application. All models are not made equal.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110