datapine

MARCH 25, 2022

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. What’s the difference between Business Analytics and Business Intelligence?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

IBM Big Data Hub

OCTOBER 5, 2022

Build planning models to improve supply chain management. You also build planning models to capture relationships and constraints so that you can change your driver assumptions and immediately see the impact on resources and capacity over time. The challenge faced by every company is matching supply with demand.

Analytics 52

Analytics Forecasting Predictive Modeling Manufacturing 52

BizAcuity

APRIL 1, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. Predictive Analytics It is a subset of business analytics that uses statistical techniques (algorithms) to find patterns in historical data points and predict future outcomes with high accuracy.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

datapine

JANUARY 31, 2022

Experience the power of Business Intelligence with our 14-days free trial! Why Is Business Intelligence So Important? The main use of business intelligence is to help business units, managers, top executives, and other operational workers make better-informed decisions backed up with accurate data. The results?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

BizAcuity

JANUARY 18, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. Predictive Analytics. It is a subset of business analytics that uses statistical techniques (algorithms) to find patterns in historical data points and predict future outcomes with high accuracy.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

IBM Big Data Hub

SEPTEMBER 19, 2023

It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions. Those who work in the field of data science are known as data scientists.

Data Science 85

Data Science Data Analytics Prescriptive Analytics Analytics 85

Jet Global

MAY 9, 2024

Machine Learning Pipelines : These pipelines support the entire lifecycle of a machine learning model, including data ingestion , data preprocessing, model training, evaluation, and deployment. Job schedulers help coordinate the pipeline’s different stages and manage dependencies between tasks.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

datapine

AUGUST 14, 2019

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. Here, we list the most prominent ones used in the industry.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smart Data Collective

AUGUST 7, 2019

As such, organizations today rely on a suite of tools to manage the collection, aggregation, analysis and, to a certain extent, the interpretation of data. These are five of the tools that every business should consider adopting. IT log data management tool. Data management platform. Customer relations management.

Data Analytics 100

Data Analytics Analytics Big Data Data Lake 100

Smarten

OCTOBER 25, 2017

As the concept of business analytics becomes more main stream and business users embrace the possibilities, they (and their managers) want and expect even more tools and more potential. Have you ever noticed that when you give someone something, they often want more? They want better solutions.

Predictive Modeling 63

Predictive Modeling Statistics Visualization Business Analytics 63

Cloudera

NOVEMBER 18, 2020

United Overseas Bank (UOB), a Singaporean multinational banking organization, is recognized as one of the most excellent and professionally managed financial institutions in Asia. To optimize investments, effectively bundle product offerings, and deliver contextual campaigns, Globe Telecom created a new analytical environment.

Internet Publishing and Broadcasting 121

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 121

Cloudera

MAY 12, 2021

Please note that use cases could include but are not limited to: risk modeling, sentiment analysis, next best action recommendation, anomaly detection, natural language generation, and more. Industry Transformation: Telkomsel — Ingesting 25TB of data daily to provide advanced customer analytics in real-time . INDUSTRY TRANSFORMATION.

Digital Transformation 67

Digital Transformation Machine Learning Optimization Data Lake 67

Cloudera

APRIL 27, 2021

These silos cause inefficiencies that rob the business of profit through the lack of insight and missed opportunities. Today, leading CME organizations worldwide are adopting an enterprise data cloud strategy using the open source-based Cloudera Data Platform to manage the end-to-end data lifecycle. It’s all in the data!

Recreation/Entertainment 66

Recreation/Entertainment Advertising IoT Predictive Modeling 66

Cloudera

NOVEMBER 2, 2020

real-time customer event data alongside CRM data; network sensor data alongside marketing campaign management data). The factors driving this trend are part technical, part business, and part cultural. Data Model. Small or medium sized models; dimensional and denormalized mainly, occasionally more normalized model.

Data Warehouse 93

Data Warehouse Optimization Dashboards Interactive 93

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 29, 2018

Business Benefit: A product sales manager can discover which predictors included in the analysis will have significant impact on product sales. 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.

Business Analysis 40

Business Analysis IT Sales Statistics 40

Smarten

JUNE 26, 2018

Business Problem: A retail store manager wants to conduct Market Basket analysis to come up with better strategy of products placement and product bundling. Business Benefit: The darker segments reveal the ideal methods of product bundling and placement to increase cross-sales. Use Case – 2.

Business Intelligence 40

Business Intelligence Sales Predictive Modeling Statistics 40

Smarten

JUNE 29, 2018

Business Problem: A bank wants to find the correlation between income and credit card delinquency rate of credit card holders. Business Benefit: The credit card manager can decide on individual credit limit eligibility based on the correlation coefficient value between Income and delinquency rates.

Enterprise 40

Enterprise IT Statistics Business Intelligence 40

Smarten

JUNE 29, 2018

Business Benefit: The product sales manager can identify the amount and direction of product price impact on product sales. Input Data: The predictor/independent variable is product price data for last year. The dependent variable is product sales data for last year.

Enterprise 40

Enterprise Sales Statistics Business Intelligence 40

Smarten

JUNE 29, 2018

Business Problem: An HR Manager wants to find out whether male employees earn more than female employees. Business Benefit: Once the test is completed, a p-value is generated which indicates whether there is a statistical difference between the income of two groups. Here, the dependent variable would be ‘Total Annual Income’.

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. Giving your team the right tools and a simple way to manage the overwhelming flow of data is crucial to business success.’

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

Smarten

JUNE 26, 2018

Business Problem: A retail store marketing manager wants to know if there is a significant association between the geography of a customer and his/her brand preferences. Business Benefit: Once the test is completed, p-value is generated which indicates whether there is significant association between geography and brand preference.

Testing 40

Testing Statistics IT Business Intelligence 40

Smarten

JUNE 29, 2018

For example, a business might use this technique to understand whether there was a difference in manager salaries before and after undertaking a PhD program. Let’s look at two use cases to better understand the benefit of this technique in business analysis. Use Case – 1. Use Case – 2.

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

Smarten

JUNE 29, 2018

To understand the value of this applied technique, let’s consider two business use cases. Business Problem: A retail store manager wants to conduct Market Basket analysis to come up with a better strategy of product placement and product bundling. Use Case – 1. Use Case – 2.

Business Analysis 40

Business Analysis IT Business Intelligence Sales 40

Smarten

JUNE 25, 2018

Business Benefit: By identifying the mode of a name of Dish purchased, a restaurant owner can determine the most popular dish and decide on pricing and anticipate the need to order ingredients. Business Problem: A bank’s loan manager needs to find out the percentile distribution of the credit score of the loan applicants.

Statistics 40

Statistics Enterprise Measurement Business Intelligence 40

Smarten

JULY 10, 2018

Use Case(s): Predict if loan default based on attributes of applicant; predict likelihood of successful treatment of new patient based on patient attributes and more. Paired Sample T Test: What is the Paired Sample T Test and How is it Beneficial to Business Analysis?

Analytics 40

Analytics Forecasting Statistics Sales 40

Depict Data Studio

SEPTEMBER 17, 2019

Lyssa Wilson Becho is a project manager at The Evaluation Center and a Doctoral Candidate in the Interdisciplinary PhD in Evaluation at Western Michigan University. Isaac has over 20 years of performance management, evaluation, and outcome measurement experience. in Human Resources Management from Syracuse University and a M.S.

Visualization 40

Visualization Consulting Dashboards Reporting 40

O'Reilly on Data

SEPTEMBER 11, 2019

Strata attracts the leading names in the fields of data management, data engineering, analytics, ML, and artificial intelligence (AI). 2 in frequency in proposal topics; a related term, “models,” is No. Terms that relate to data engineering, data management, and data analytics dominate the top tiers of proposal topics.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20