IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics.

Data Science 77

Data Science Data Analytics Prescriptive Analytics Analytics 77

CIO Business Intelligence

OCTOBER 7, 2022

With a strong BI strategy and team, organizations can perform the kinds of analysis necessary to help users make data-driven business decisions. SAS Certified Specialist: Visual Business Analytics Tableau Certified Data Analyst Tableau Desktop Specialist Tableau Server Certified Associate Certified Business Intelligence Professional (CBIP).

Business Intelligence 145

Business Intelligence Data Warehouse Visualization Dashboards 145

Smarten

JUNE 25, 2018

This article provides a brief explanation of the definition and uses of the Descriptive Statistics algorithms. What is a Descriptive Statistics? 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.

Statistics 40

Statistics Enterprise Measurement Business Intelligence 40

Rocket-Powered Data Science

JULY 14, 2023

I recently saw an informal online survey that asked users what types of data (tabular; text; images; or “other”) are being used in their organization’s analytics applications. This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative.

Analytics 166

Analytics Internet of Things Prescriptive Analytics Data Science 166

CIO Business Intelligence

MARCH 31, 2023

Business analysts are in high demand, with 24% of Fortune 500 companies currently hiring business analysts across a range of industries, including technology (27%), finance (13%), professional services (10%), and healthcare (5%), according to data from Zippia. Amazon, Capgemini, and IBM.

Business Analysis 79

Business Analysis Testing Business Analytics Statistics 79

Smarten

JUNE 27, 2018

The prediction accuracy is useful criterion for assessing the model performance. Model with prediction accuracy >= 70% is useful. How Can SVM Classification Analysis Benefit Business Analytics? Let’s examine two business use cases where SVM Classification can benefit the organization. Use Case – 1.

Business Analytics 40

Business Analytics Analytics IT Business Intelligence 40

FineReport

MARCH 24, 2024

Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making. Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis.

Statistics 52

Statistics Data mining Visualization Reporting 52

Smarten

APRIL 12, 2023

About Smarten 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.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

Smarten

JULY 26, 2022

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.

Key Performance Indicator 74

Key Performance Indicator Analytics Business Intelligence Dashboards 74

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

datapine

JANUARY 6, 2022

More often than not, it involves the use of statistical modeling such as standard deviation, mean and median. Let’s quickly review the most common statistical terms: Mean: a mean represents a numerical average for a set of responses. To cut costs and reduce test time, Intel implemented predictive data analyses.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

datapine

NOVEMBER 27, 2019

The demand for real-time online data analysis tools is increasing and the arrival of the IoT (Internet of Things) is also bringing an uncountable amount of data, which will promote the statistical analysis and management at the top of the priorities list. Share the essential business intelligence trends among your team!

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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. Building a predictive model is a continuous process and commitment.

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 modeling for flagging suspicious activity. These include-.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Smarten

APRIL 19, 2022

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.

Slice and Dice 57

Slice and Dice Business Intelligence Advertising Predictive Modeling 57

Smarten

NOVEMBER 8, 2022

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.

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 52

datapine

MAY 17, 2021

Fundamentally, this is a term that describes the process through which businesses collect data from a variety of sources and apply it practically to generate real business value. What is a discovery model, and how do you use it in a real-world business context? 5) Develop a data discovery model.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

AWS Big Data

NOVEMBER 29, 2023

Amazon Redshift Serverless, generally available since 2021, allows you to run and scale analytics without having to provision and manage the data warehouse. Amazon Redshift ML large language model (LLM) integration Amazon Redshift ML enables customers to create, train, and deploy machine learning models using familiar SQL commands.

Data Warehouse 101

Data Warehouse Data Lake Analytics Machine Learning 101

Smarten

JUNE 20, 2018

The business can use this information for forecasting and planning, and to test theories and strategies. In prediction, the objective is to “model” all the components to some trend patterns to the point that the only component that remains unexplained is the random component. Linear Trend. Stationary/Stationarity.

Forecasting 40

Forecasting Statistics Business Intelligence Predictive Modeling 40

Smarten

JUNE 29, 2018

This article describes the analytical technique of multiple linear regression. Multiple Linear Regression is a statistical technique that is designed to explore the relationship between two or more variables (X, and Y). What is Multiple Linear Regression Analysis? About Smarten.

Business Analysis 40

Business Analysis IT Sales Statistics 40

Smarten

JULY 10, 2018

Multiple Linear Regression: What is Multiple Linear Regression and How Can it be Helpful for Business Analysis? Independent Samples T Test: What is the Independent Samples T Test Method of Analysis and How Can it Benefit an Organization? Use Case(s): Are men more satisfied with their jobs than women?

Analytics 40

Analytics Forecasting Statistics Sales 40

datapine

AUGUST 29, 2022

It mentions the completeness of data (as opposed to sampling), the power to quantify and digitize new formats of information that were previously inaccessible, as well as the ability to use new databases (like Hadoop and NoSQL) and statistical tools (machine learning and data mining) to describe huge quantities of data. Davenport.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Smarten

JUNE 29, 2018

This article explains the Karl Pearson Correlation method of analysis, and how it can be applied in business. What is the Karl Pearson Correlation Analytical Technique? Correlation is a statistical measure that indicates the extent to which two variables fluctuate together.

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). This method helps a business to identify the relationship between X and Y and the nature and direction of that relationship. What is Simple Linear Regression?

Enterprise 40

Enterprise Sales Statistics Business Intelligence 40

Smarten

JUNE 26, 2018

For more information about data trend and pattern analysis techniques, read our article entitled, ‘ What Are Data Trends and Patterns, and How Do They Impact Business Decisions?’ ’ The ARIMA model is suggested for short term forecasting. p: to apply autoregressive model on series.

Forecasting 40

Forecasting Enterprise IT Sales 40

Sisense

JUNE 26, 2019

The aged statistic still stands that 80% of your time will be spent preparing and optimizing data. You need to find the right data sets, clean them up, and test out interoperability. You want to make sure you have one place to bring in all your data and do your data modeling. Build Cached Models.

Enterprise 75

Enterprise Data Warehouse Dashboards Modeling 75

Smarten

JUNE 27, 2018

When a business uses Outlier analysis, it is important to test the results and analyze the overall dataset and environment to be sure that the presence of outliers does not indicate that the dataset may be more complex than anticipated and may require a different form of analysis. About Smarten.

IT 40

IT Business Intelligence Predictive Modeling Testing 40

Smarten

JUNE 29, 2018

This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. An Autoregressive Integrated Moving Average with Explanatory Variable (ARIMAX) model can be viewed as a multiple regression model with one or more autoregressive (AR) terms and/or one or more moving average (MA) terms.

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

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. This article describes the Spearman’s Rank Correlation and how it is used for enterprise analysis.

Business Analysis 40

Business Analysis IT Measurement Statistics 40

Smarten

JUNE 29, 2018

Improved statistical precision is achieved through this method due to the low variability within each subgroup, and the fact that a smaller sample size is required for this method as compared to simple random sampling. A random sample from each of these subgroups is taken in proportion to the subgroup size relative to the population size.

Analytics 40

Analytics Statistics Business Intelligence Predictive Modeling 40

Smarten

JUNE 21, 2018

This article provides a brief explanation of the Holt-Winters Forecasting model and its application in the business environment. Time series forecasting methods are used to extract and analyze data and statistics and characterize results to more accurately predict the future based on historical data.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

Smarten

JUNE 26, 2018

Logistic regression model output is helpful in identifying important factors that will impact the target variable and the nature of relationships between each of these factors and dependent variables.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 28, 2018

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.

IT 40

IT Business Intelligence Predictive Modeling Risk 40

Smarten

JUNE 29, 2018

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.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 26, 2018

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.

Business Intelligence 40

Business Intelligence Sales Predictive Modeling Statistics 40

Smarten

JUNE 25, 2018

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

Smarten

JUNE 29, 2018

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 Business Intelligence Predictive Modeling Statistics 40