ElegantJ BI

OCTOBER 16, 2018

Since the target variable wine quality contains categorical values (high and low), the classification method will be applicable, as the predictors will be classifying the data into high and low. The Smarten approach to data discovery is designed as an augmented analytics solution to serve business users.

Banking 130

Banking Retail Data Discovery Business Intelligence 130

ElegantJ BI

OCTOBER 16, 2018

Since the target variable wine quality contains categorical values (high and low), the classification method will be applicable, as the predictors will be classifying the data into high and low. The Smarten approach to data discovery is designed as an augmented analytics solution to serve business users.

Banking 130

Banking Retail Data Discovery Business Intelligence 130

ElegantJ BI

AUGUST 14, 2018

Frequent pattern mining (previously known as Association) is an analytical algorithm that is used by businesses and, is accessible in some self-serve business intelligence solutions. Business Benefit: The darker segments reveal the ideal methods of product bundling and placement to increase cross-sales. About Smarten.

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 16, 2018

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

Data Discovery 130

Data Discovery Retail Banking Business Intelligence 130

ElegantJ BI

OCTOBER 16, 2018

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

Data Discovery 130

Data Discovery Retail Banking Business Intelligence 130

ElegantJ BI

AUGUST 14, 2018

Frequent pattern mining (previously known as Association) is an analytical algorithm that is used by businesses and, is accessible in some self-serve business intelligence solutions. How Does a Business Use the FP Growth method of Frequent Pattern Mining to Analyze Data? What is the FP Growth Algorithm?

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

AUGUST 14, 2018

Frequent pattern mining (previously known as Association) is an analytical algorithm that is used by businesses and, is accessible in some self-serve business intelligence solutions. How Does a Business Use the FP Growth method of Frequent Pattern Mining to Analyze Data? What is the FP Growth Algorithm?

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

JANUARY 22, 2020

This Client is a pioneer speciality retail chain with pharmacy and wellness stores in India. The Client owns and manages a chain of stores located across Ahmedabad, Gandhinagar and Vadodara and offers pharmacy products sourced from manufacturers or channel partners.

Retail 100

Retail Monitoring Planning Data Discovery 100

ElegantJ BI

JANUARY 22, 2020

This Client is a pioneer speciality retail chain with pharmacy and wellness stores in India. The Client owns and manages a chain of stores located across Ahmedabad, Gandhinagar and Vadodara and offers pharmacy products sourced from manufacturers or channel partners.

Retail 100

Retail Monitoring Planning Data Discovery 100

ElegantJ BI

OCTOBER 18, 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. About Smarten.

Business Analysis 130

Business Analysis Business Analysis Banking Data Discovery 130

ElegantJ BI

OCTOBER 18, 2018

To understand the value of this applied technique, let’s consider two business use cases. 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.

Business Analysis 130

Business Analysis Business Analysis Banking Data Discovery 130

ElegantJ BI

OCTOBER 18, 2018

To understand the value of this applied technique, let’s consider two business use cases. 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.

Business Analysis 130

Business Analysis Business Analysis Banking Data Discovery 130

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. But probably the biggest thing we do is drive insights by making our customers’ data actionable.

Embedded Analytics 98

Embedded Analytics Data Discovery Business Intelligence Business Intelligence 98

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

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

Data Pine

NOVEMBER 19, 2019

In business intelligence, we are evolving from static reports on what has already happened to proactive analytics with a live dashboard assisting businesses with more accurate reporting. This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience.

Artificial Intelligence 111

Artificial Intelligence Vision Banking Retail 111

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

Data Pine

DECEMBER 11, 2019

It’s also popular amongst businesses for its simplicity and user accessibility, security, and the widespread connectivity that serves to streamline business models, resulting in maximum efficiency across the board. This means that your business’s data is available and secure regardless of a data breach or system failure.

Artificial Intelligence 125

Artificial Intelligence Innovation Digital Business Intelligence 125

Data Pine

MARCH 15, 2019

When collecting and curating digital insights for intelligence purposes, businesses turn to a variety of valuable sources, such as business performance metrics, consumer-centric data, periodic trends, and a host of other descriptive information sets. The retail sector is the very embodiment of supply and demand.

Healthcare 57

Healthcare Retail Big Data Vision 57

Data Pine

MAY 31, 2022

More and more CRM, marketing, and finance-related tools use SaaS business intelligence and technology, and even Adobe’s Creative Suite has adopted the model. We mentioned the hot debate surrounding data protection in our definitive business intelligence trends guide. It is evident that the cloud is expanding.

Cloud Computing 95

Cloud Computing Cybersecurity Business Intelligence Business Intelligence 95

Astera

MAY 30, 2024

This approach often involves more complex processes like drill-down, data discovery, mining, and correlations. It relies on historical data and machine learning techniques to identify the likelihood of future outcomes. Analyzing this data helps organizations increase conversion rates and customer retention.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Data Pine

MAY 17, 2021

1) What Is Data Discovery? 2) Why is Data Discovery So Popular? 3) Data Discovery Tools Attributes. 4) Augmented Intelligence For Businesses. 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.

Data Discovery 64

Data Discovery Visualization Data Visualization Business Intelligence 64

Data Pine

DECEMBER 4, 2019

Business intelligence has undergone many changes in the last decade. Each year, we hear about buzzwords that enter the community, language, market and drive businesses and companies forward. That’s why we have prepared a list of the most prominent business intelligence buzzwords that will dominate in 2020.

Business Intelligence 84

Business Intelligence Business Intelligence IBM Support IBM Maintenance 84

Domo

AUGUST 23, 2022

Q: What is Dickies’ history with business intelligence (BI) and using data to inform decisions? Dickies’ culture has always had an incredible thirst for data insights, but the environment that hosted that data grew severely tangled over the years. That’s been the magic of Domo for us.

E-Commerce 98

E-Commerce Digital Transformation Digital Data Discovery 98

Insight Software

MAY 1, 2023

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded Analytics Definition Embedded analytics are the integration of analytics content and capabilities within applications, such as business process applications (e.g., that gathers data from many sources.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52