CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. In business analytics, this is the purview of business intelligence (BI). Data analytics vs. business analytics.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Smarten

JUNE 17, 2022

.” The Information Technology Amendment Act of 2009 designated CERT-IN as the national agency to perform functions for cyber security, including the collection, analysis and dissemination of information on cyber incidents, as well as taking emergency measures to handle incidents and coordinating cyber incident response activities.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

CIO Business Intelligence

JULY 24, 2023

It has also developed predictive models to detect trends, make predictions, and simulate results. AI takes that data and combines it with historical tracking data from about 2,000 matches to create new insights, such as the Goal Probability model, one of 21 new stats it debuted in 2022.

Broadcasting 98

Broadcasting Recreation/Entertainment Testing Machine Learning 98

FineReport

APRIL 21, 2024

Introduction to the World of SaaS BI Tools In today’s data-driven business landscape, SaaS BI tools have emerged as indispensable assets for companies seeking to harness the power of data. But what exactly are SaaS BI tools , and why do they matter in the realm of modern business intelligence? What Are SaaS BI Tools?

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

CIO Business Intelligence

MAY 14, 2024

Enterprises need to ensure that private corporate data does not find itself inside a public AI model,” McCarthy says. You don’t want a mistake to happen and have it end up ingested or part of someone else’s model. The excitement and related fears surrounding AI only reinforces the need for private clouds.

IT 143

IT Data Processing Enterprise Modeling 143

CIO Business Intelligence

SEPTEMBER 5, 2023

By embracing machine learning and predictive analytics from SAP, it has been able to build predictive models for abnormal events based on sensor data and feed them into user-friendly dashboards and e-mail notifications. These are just two examples of what’s already happening when AI is embedded into cloud solutions.

Technology 103

Technology Predictive Modeling Predictive Analytics Forecasting 103

FineReport

APRIL 9, 2024

Benefits of Healthcare Business Intelligence Tools Improved Decision-Making: Healthcare BI tools enable informed decision-making by providing real-time data analysis and predictive insights. This not only enhances the quality of care but also contributes to improved patient outcomes.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

DataRobot Blog

JUNE 23, 2022

Human intuition is relied on, or an older, hand-build BI/predictive model exists, or perhaps a set of heuristics were documented that more or less predict something. Decision Intelligence Flows. Go Beyond Predictions. Too often the new model fails the “so what” test. using an AI model. Learn More.

Predictive Modeling 59

Predictive Modeling Modeling Data Science Measurement 59

Sisense

MARCH 24, 2020

One area they refused to cut, however, was their business intelligence program. BA claimed that a continued investment in analytics during the crisis was a critical factor to streamlining marketing activities and thwarting fraudulent bookings when their business was especially fragile. Efficiently focus resources.

Analytics 94

Analytics Sales Forecasting Business Intelligence 94

CIO Business Intelligence

OCTOBER 4, 2022

In the new report, titled “Digital Transformation, Data Architecture, and Legacy Systems,” researchers defined a range of measures of what they summed up as “data architecture coherence.” Data architecture coherence. more machine learning use casesacross the company.

Machine Learning 117

Machine Learning Data Architecture Uncertainty Data-driven 117

Birst BI

OCTOBER 30, 2018

This data retrieval and summarization capability gave rise to what we now know as the business intelligence industry. Today, the most common usage of business intelligence is for the production of descriptive analytics. . Integrate the data sources of the various behavioral attributes into a functional data model.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

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

Smarten

JUNE 29, 2018

How Can Multiple Linear Regression Be Helpful for Business Analysis? Business Problem: An ecommerce company wants to measure the impact of product price, product promotions, and holiday seasonality on product sales. If we consider the use cases below, we can see the value of Multiple Linear Regression analysis. About Smarten.

Business Analysis 40

Business Analysis IT Sales Statistics 40

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 118

Advertising Machine Learning Software Measurement 118

Smarten

JUNE 29, 2018

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. The Spearman’s Rank Correlation is a measure of correlation between two ranked (ordered) variables. About Smarten.

Business Analysis 40

Business Analysis IT Measurement Statistics 40

Smarten

JUNE 29, 2018

Correlation is a statistical measure that indicates the extent to which two variables fluctuate together. The Karl Pearson’s correlation measures the degree of linear relationship between two variables. A positive correlation indicates the extent to which those variables increase or decrease in parallel.

Enterprise 40

Enterprise IT Statistics Business Intelligence 40

Smart Data Collective

AUGUST 7, 2019

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. Tracking and measuring escalation arising from problems with a specific product or service. Creating predictive models. Data management platform.

Data Analytics 99

Data Analytics Analytics Big Data Data Lake 99

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. It helps you build, train, and deploy models consuming the data from repositories in the data hub.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 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

Smarten

JUNE 29, 2018

Business Problem: An eCommerce company wants to measure the impact of product price on product sales. 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 Sales Statistics Business Intelligence 40

Smarten

JUNE 26, 2018

Logistic regression measures the relationship between the categorical target variable and one or more independent variables It deals with situations in which the outcome for a target variable can have two or more possible types. What is the Multinomial-Logistic Regression Classification Algorithm?

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 29, 2018

In this article, we will discuss the Binary Logistic Regression Classification method of analysis, and how it can be used in business. Logistic regression measures the relationship between the categorical target variable and one or more independent variables. What is Binary Logistic Regression Classification?

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 29, 2018

One is a dimension containing two values and the other is a measure. 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.

Testing 40

Testing Statistics IT Business Intelligence 40

Smarten

DECEMBER 3, 2023

Let’s look at some of the reasons business intelligence (BI) and augmented analytics are important to your business and the benefits this type of solution can provide for your enterprise. Augmented analytics can reduce frustration and re-work, and make your business users happy.

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

DataKitchen

SEPTEMBER 21, 2023

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. The fourth pillar focuses on testing the results of data models, visualizations, and other applications to validate data in use.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

Decision Management Solutions

NOVEMBER 13, 2018

” They analyze the data available and try to see what analytic models it contains. Rather than begin with the data and try to “discover” what model is inside it, analytics teams should begin with a business problem – the decision they wish to improve – and use this to direct their work. Begin with decisions, not with data.

Insurance 40

Insurance Analytics Modeling Visualization 40

CIO Business Intelligence

AUGUST 15, 2023

Shamim Mohammad, CIO, CarMax CarMax That volume created a Sisyphean task for the company’s content writers, as they struggled to provide up-to-date information by make, model, and year for each vehicle in the company’s constantly changing inventory.

IT 98

IT Manufacturing IoT Cost-Benefit 98

CIO Business Intelligence

MARCH 22, 2023

Enter the new class ML data scientists require large quantities of data to train machine learning models. Then the trained models become consumers of vast amounts of data to gain insights to inform business decisions. In the training phase, the primary objective is to use existing examples to train a model.

Machine Learning 105

Machine Learning Cost-Benefit Modeling Risk 105

CIO Business Intelligence

JUNE 22, 2022

Predictive maintenance applications enable large-scale manufacturers to collect telemetry data and integrate all IoT functions, and these are powered by models driven by real-time data. . Just as important is the dimension of data accuracy or other measures of performance.

IoT 98

IoT IT Manufacturing Internet of Things 98

Alation

APRIL 14, 2022

And, as organizations progress and grow, “data drift” starts to impact data usage, models, and your business. They strove to ramp up skills in all manner of predictive modeling, machine learning, AI, or even deep learning. On-premises business intelligence and databases. Model Drift. Cloud governance.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

datapine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. Experience the power of Business Intelligence with our 14-days free trial! Why Is Business Intelligence So Important?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

CIO Business Intelligence

MAY 10, 2022

Gartner defines a CDP as “a marketing technology that unifies a company’s customer data from marketing and other channels to enable customer modeling and to optimize the timing and targeting of messages and offers.”. It’s intended for IT teams and has historically found its niche in small and midsize businesses. Treasure Data CDP.

Advertising 120

Advertising Interactive Marketing Data Integration 120

Cloudera

NOVEMBER 2, 2020

the speed at which queries run is faster – small, selective queries are measured in 10s or 100s of milliseconds; large, scan- or compute-heavy queries are processed at very high bandwidth. Data Model. Small or medium sized models; dimensional and denormalized mainly, occasionally more normalized model.

Data Warehouse 97

Data Warehouse Optimization Dashboards Interactive 97

Smarten

JULY 10, 2018

Use Case(s): Measure the impact of product price on product sales, measure the impact of temperature on crop yield an more. 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.

Analytics 40

Analytics Forecasting Statistics Sales 40

datapine

NOVEMBER 27, 2019

Over the past decade, business intelligence has been revolutionized. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. 2019 was a particularly major year for the business intelligence industry. Source: Business Application Research Center *.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

MARCH 13, 2024

As the Citizen Data Scientist approach gained momentum, businesses seemed to develop an expectation that Citizen Data Scientists could replace Data Scientists. If you choose business intelligence or advanced analytics tools that are meant to data scientists, IT professionals or business analysts, you are setting your team up to fail.

Analytics 52

Analytics Predictive Modeling Strategy Enterprise 52

Smarten

JUNE 25, 2018

Descriptive statistics helps users to describe and understand the features of a specific dataset, by providing short summaries and a graphic depiction of the measured data. This measurement can be biased in a case where there are a significant number of outliers present in the data. Skewness is a measure of symmetry.

Statistics 40

Statistics Enterprise Measurement Business Intelligence 40