ElegantJ BI

AUGUST 14, 2018

How Does a Business Use the FP Growth method of Frequent Pattern Mining to Analyze Data? Use Case – 1 Business Problem: A retail store manager wants to conduct Market Basket analysis to come up with better strategy of products placement and product bundling.

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

AUGUST 14, 2018

How Does a Business Use the FP Growth method of Frequent Pattern Mining to Analyze Data? Use Case – 1 Business Problem: A retail store manager wants to conduct Market Basket analysis to come up with better strategy of products placement and product bundling.

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 18, 2018

Use Case – 1 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. The Smarten approach to data discovery is designed as an augmented analytics solution to serve business users.

Business Analysis 130

Business Analysis Business Analysis Banking Data Discovery 130

ElegantJ BI

OCTOBER 18, 2018

Use Case – 1 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. The Smarten approach to data discovery is designed as an augmented analytics solution to serve business users.

Business Analysis 130

Business Analysis Business Analysis Banking Data Discovery 130

ElegantJ BI

OCTOBER 18, 2018

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. 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 130

Business Analysis Business Analysis Banking Data Discovery 130

The BAWorld

MARCH 29, 2025

AI can automate the tedious process of data cleaning, identifying outliers, and normalizing data. Data Analysis : AI powered tools can swiftly identify patterns, correlations, and trends, which would take humans much longer to analyze. demand spikes) using historical data. Customers aged 2534 prefer mobile app purchases).

IBM cost 40

IBM cost IBM Maintenance Predictive Analytics Visualization 40

The BAWorld

NOVEMBER 8, 2024

Data is a crucial asset for any industry, including finance, healthcare, social media, energy, retail, real estate, and manufacturing, hence understanding how to evaluate it is crucial. But the data itself would be meaningless, unstructured, and unfiltered.

Predictive Analytics 40

Predictive Analytics Data Discovery Data Mining Visualization 40

Domo

MAY 20, 2022

And in 2022, those awards came early and often for Domo, which won across three key categories: Business Intelligence, Embedded Business Intelligence, and Data Discovery & Visualization. Q: Data discovery and visualization are more traditional, par-for-the-course ways that companies leverage data.

Embedded Analytics 98

Embedded Analytics Data Discovery Business Intelligence Business Intelligence 98

Data Pine

NOVEMBER 19, 2019

Connected Retail. This leads us to the next of our buzzwords in IT: connected retail. To explain this most essential of 2020 buzzwords: connected retail is the seamless bridge between physical and digital retail, creating a connected, cloud-based ecosystem for enhanced consumer experience and advanced data collection.

Artificial Intelligence 111

Artificial Intelligence Vision Banking Retail 111

Data Pine

MAY 9, 2019

You can view business intelligence as an extremely powerful data discovery tool that is an extension of your fast thinking mind. They enable powerful data visualization. To make the most out of it, there is an important dimension to disclose: data visualization. click to enlarge**.

Business Intelligence 108

Business Intelligence Business Intelligence Procurement Data Warehouse 108

Data Pine

MARCH 15, 2019

That said, data intelligence tools and practices offer the ability to transform raw data into actionable insights, spot trends, and drill down into invaluable consumer data and data discovery processes. The retail sector is the very embodiment of supply and demand. click to enlarge**.

Healthcare 57

Healthcare Retail Big Data Vision 57

The BAWorld

APRIL 23, 2024

Life Cycle Phases of Data Analytics This tutorial discusses the data analytics lifecycle phases that are essential to each data analytics process and how to implement them. As a result, they are more likely to remain present throughout the lifecycle of most data analytics projects. Processing large data sets.

Data Analytics 52

Data Analytics Data Analytics Big Data Data Mining 52

Data Pine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

IBM cost 117

IBM cost Data Warehouse Business Intelligence Business Intelligence 117

Astera

MAY 30, 2024

Statistical Analysis : Using statistics to interpret data and identify trends. Predictive Analytics : Employing models to forecast future trends based on historical data. Data Visualization : Presenting data visually to make the analysis understandable to stakeholders.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Data Pine

DECEMBER 11, 2019

This means that your business’s data is available and secure regardless of a data breach or system failure. Some examples are healthcare analytics software, retail analytics , or modern logistics analytics. In Cloud SaaS, pre-existing disaster recovery protocols are in place to manage potential system failures.

Artificial Intelligence 125

Artificial Intelligence Innovation Digital Business Intelligence 125

Data Pine

MAY 31, 2022

Since we live in a digital age, where data discovery and big data simply surpass the traditional storage and manual implementation and manipulation of business information, companies are searching for the best possible solution for handling data. It is evident that the cloud is expanding. It’s completely free!

Cloud Computing 95

Cloud Computing Cybersecurity Business Intelligence Business Intelligence 95

Data Pine

MAY 17, 2021

1) What Is Data Discovery? 2) Why is Data Discovery So Popular? 3) Data Discovery Tools Attributes. 5) How To Perform Smart Data Discovery. 6) Data Discovery For The Modern Age. We live in a time where data is all around us. So, what is data discovery?

Data Discovery 64

Data Discovery Visualization Data Visualization Business Intelligence 64

Data Pine

DECEMBER 4, 2019

With technologies such as natural language processing, machine learning, pattern recognition cognitive computing is considered as a next-generation system that will help experts to make better decisions throughout industries such as healthcare, retail, security, and e-commerce, among others. This data analytics buzzword is somehow a déjà-vu.

Business Intelligence 84

Business Intelligence Business Intelligence IBM Support IBM Maintenance 84

Insight Software

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. Retail and Wholesale are the next that are best represented. In the past, data visualizations were a powerful way to differentiate a software application. Data visualizations are not only everywhere, they’re better than ever.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52