CIO Business Intelligence

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. 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.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

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.’ Descriptive Statistics. Access to Flexible, Intuitive Predictive Modeling. Trends and Patterns.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

O'Reilly on Data

JUNE 18, 2019

Even with advances in building robust models, the reality is that noisy data and incomplete data remain the biggest hurdles to effective end-to-end solutions. The problem is even more magnified in the case of structured enterprise data. The models are then used to spot errors and suggest the “most probable” values to replace.

Machine Learning 259

Machine Learning Data Quality Statistics Modeling 259

Smarten

MAY 29, 2023

World-renowned technology analysis firm Gartner defines the role this way, ‘A citizen data scientist is a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics. ‘If Automatic generation of models.

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

SEPTEMBER 28, 2022

Predictive Analytics utilizes various techniques including association, correlation, clustering, regression, classification, forecasting and other statistical techniques. Businesses must control quality or risk losing customers and market share and exposing the enterprise to legal risk and liability. Customer Churn.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

CIO Business Intelligence

MAY 9, 2024

But the ranks of the CAIO are expected to increase at enterprise organizations as well in the coming years. And they should have a proficiency in data science and analytics to effectively leverage data-driven insights and develop AI models. This includes skills in statistical analysis, data visualization, and predictive modeling.

Risk Management 138

Risk Management Risk Cost-Benefit Technology 138

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

Domino Data Lab

JULY 28, 2021

Through a marriage of traditional statistics with fast-paced, code-first computer science doctrine and business acumen, data science teams can solve problems with more accuracy and precision than ever before, especially when combined with soft skills in creativity and communication. Math and Statistics Expertise.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

BizAcuity

APRIL 1, 2023

Widely used to discover trends, patterns, check assumptions and spot anomalies or outliers, EDA involves a variety of techniques including statistical analysis, and machine learning to gain a better understanding of data. With the exponential growth of large datasets, predictive analytics is being leveraged by enterprises across industries.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

BizAcuity

JANUARY 18, 2023

Widely used to discover trends, patterns, check assumptions and spot anomalies or outliers, EDA involves a variety of techniques including statistical analysis, and machine learning to gain a better understanding of data. Predictive Analytics. Predictive Analytics can help businesses in reducing risk (eg. These include-.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It includes a range of capabilities that enable enterprises to unlock the value of their data in new ways. Those who work in the field of data science are known as data scientists.

Data Science 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

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

Smarten

JUNE 17, 2022

Smarten Augmented Analytics tools include Assisted Predictive Modeling , Smart Data Visualization , Self-Serve Data Preparation , Sentiment Analysis , and Clickless Analytics with natural language processing (NLP) for search analytics.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

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

JUNE 29, 2018

Correlation is a statistical measure that indicates the extent to which two variables fluctuate together. How Can the Karl Pearson Correlation Method Be Used to Target Enterprise Analytical Needs? This article explains the Karl Pearson Correlation method of analysis, and how it can be applied in business.

Enterprise 40

Enterprise IT Statistics Business Intelligence 40

Smarten

JUNE 29, 2018

Simple Linear Regression is a statistical technique that attempts to explore the relationship between one independent variable (X) and one dependent variable (Y). How Can the Enterprise Use Simple Linear Regression to Analyze Data? This article describes the Simple Linear Regression method of analysis. What is Simple Linear Regression?

Enterprise 40

Enterprise Sales Statistics Business Intelligence 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. It’s a role that requires experience with natural language processing , coding languages, statistical models, and large language and generative AI models.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Smarten

DECEMBER 17, 2018

Tools like Assisted Predictive Modeling allow the average business user to become a Citizen Data Scientist with tools that offer guidance and auto-suggestions to help the user arrive at the outcome they need without being frustrated or having to call in an army of analysts and IT staff to help them complete their analysis.

Predictive Analytics 40

Predictive Analytics Predictive Modeling Analytics Statistics 40

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. ” There are many features and benefits to the Smarten approach to Advanced Data Discovery.

Analytics 51

Analytics Predictive Modeling Visualization Statistics 51

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

CIO Business Intelligence

JULY 28, 2022

Synchrony isn’t the only company dealing with a dearth of data scientists to perform increasingly critical work in the enterprise. The research report also noted that top enterprises, such as Deloitte, Amazon and Microsoft, are looking to fill a wide spectrum of technical jobs but data science far outweighs all other roles.

Data Science 143

Data Science IT Machine Learning Data-driven 143

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? Descriptive Statistics. Consider the myriad of techniques used by data scientists and analysts!

Analytics 40

Analytics Predictive Modeling Forecasting Testing 40

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve.

Machine Learning 56

Machine Learning Data Science Statistics Deep Learning 56

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? Smarten Augmented Analytics tools include plug n’ play predictive analytics , assisted predictive modeling , smart data visualization , self-serve data preparation and clickless analytics for search analytics with natural language processing (NLP).

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

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. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

Enterprise 40

Enterprise IT Business Intelligence Forecasting 40

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. Figure 1: The main components of a model as defined by banking industry regulators.

Risk 111

Risk Modeling IT Risk Management 111

DataRobot

JANUARY 13, 2022

Data scientists typically come equipped with skills in three key areas: mathematics and statistics, data science methods, and domain expertise. Building a successful AI enterprise requires a few key ingredients: repeatable success, knowledgeable partners, and a platform that’s seamless for the entire team.

ROI 52

ROI Machine Learning Experimentation Data Science 52

Smarten

OCTOBER 25, 2017

My team uses augmented data preparation and self-serve data prep, and tools like smart data visualization, plug n’ play predictive analysis and assisted predictive modeling to connect all the dots, find those all-important exceptions, and identify patterns and trends so they can get ahead of the game and help us in the market.

Predictive Modeling 63

Predictive Modeling Statistics Visualization Business Analytics 63

FineReport

MAY 29, 2020

The ‘data’ part is the statistics and data display. . Business understanding’ is realizing in-depth data analysis and smart data forecasting via analysis and prediction functions such as data mining, predictive modeling, and so on. FineReport is a professional BI reporting tool designed for the enterprise. .

Reporting 94

Reporting OLAP Visualization Software 94

CIO Business Intelligence

JULY 26, 2023

But Cox and Djuric do know that 82% of Keller Williams’ agent have been active on the homegrown CRM application in the past 90 days and can deduce the high value of their data from that statistic alone.

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

Sisense

SEPTEMBER 25, 2020

A data scientist must be skilled in many arts: math and statistics, computer science, and domain knowledge. Statistics and programming go hand in hand. Mastering statistical techniques and knowing how to implement them via a programming language are essential building blocks for advanced analytics. Linear regression.

Statistics 98

Statistics Predictive Modeling Modeling Machine Learning 98

Smarten

JUNE 26, 2018

It is used to determine whether there is a statistically significant association between the two categorical variables. An enterprise might also use Chi Square to determine if there is a relationship between the region in which a product is purchased, and the product or category of product that is purchased.

Testing 40

Testing Statistics IT Business Intelligence 40

Birst BI

OCTOBER 30, 2018

Instead of transacting business with only a paper record, enterprise applications recorded transactions in a computer database. The foundation of predictive analytics is based on probabilities. The credit scores generated by the predictive model are then used to approve or deny credit cards or loans to customers.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Smarten

JUNE 29, 2018

Multiple Linear Regression is a statistical technique that is designed to explore the relationship between two or more variables (X, and Y). All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists. About Smarten.

Business Analysis 40

Business Analysis IT Sales Statistics 40

Smarten

JUNE 29, 2018

This article describes the Spearman’s Rank Correlation and how it is used for enterprise analysis. Correlation is a statistical measure that indicates the extent to which two variables fluctuate together A positive correlation indicates the extent to which those variables increase or decrease in parallel.

Business Analysis 40

Business Analysis IT Measurement Statistics 40