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

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.

Data Discovery 130

Data Discovery Retail Business Intelligence Business Intelligence 130

ElegantJ BI

AUGUST 11, 2017

Herald Logic was recently featured in the ’25 Most Promising Retail Solution Providers – 2017′ in Asia Pacific in the annual APAC CIO Outlook Magazine survey.

Data Discovery 130

Data Discovery Banking Business Intelligence Business Intelligence 130

ElegantJ BI

AUGUST 11, 2017

Herald Logic was recently featured in the ’25 Most Promising Retail Solution Providers – 2017′ in Asia Pacific in the annual APAC CIO Outlook Magazine survey.

Data Discovery 130

Data Discovery Banking Business Intelligence Business Intelligence 130

ElegantJ BI

AUGUST 14, 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. 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.

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

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

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

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

demand spikes) using historical data. Smart Data Discovery: You can now automatically identify hidden patterns (e.g., Industry-Specific Solutions: Templates for healthcare (patient readmission risk) and retail (inventory optimization). Predictive Analytics: It helps you easily forecast trends (e.g.,

IBM cost 40

IBM cost IBM Maintenance Predictive Analytics Visualization 40

ElegantJ BI

JULY 6, 2011

This will be focused on various sectors – Healthcare, Banking, Retail, Automotive Manufacturing & Production, FMCG Space, Technology.

Business Intelligence 100

Business Intelligence Business Intelligence Banking Retail 100

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

Sisense

FEBRUARY 9, 2021

Confectioners, gift companies, flower retailers, and other businesses will rely on mountains of data to make sure this amorous day of celebration comes up roses for countless romantics across the globe. Data in full bloom. About 37% of gift-givers report that flowers are on their list for this year.

E-Commerce 98

E-Commerce Supply Chain Retail Logistics 98

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

Actian

OCTOBER 21, 2019

Azure is growing significantly as a platform in the enterprise space and becoming the de-facto choice for retail analytics. This is particularly appealing to those customers who have large amounts of data which is growing quickly but may not need compute to scale at the same pace.

Vision 40

Vision Data Warehouse Retail Data Discovery 40

Astera

SEPTEMBER 4, 2024

AI/ML-Based Automation & Integration: AI or ML (Machine Learning)- based algorithms help automate tasks such as data discovery, retrieval, structure recognition, and data analysis. Automating tasks facilitates data integration activities, helping your organization manage high volumes of complex data from disparate sources.

Data Architecture 52

Data Architecture Data Governance Government Data Discovery 52

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.

Data Analytics 52

Data Analytics Data Analytics Big Data Data Mining 52

Astera

MAY 8, 2024

For instance, in a retail organization, a business glossary can serve as a comprehensive reference tool containing definitions of terms relevant to the industry’s operations. Each definition is tailored to the specific context of the retail sector, ensuring clarity and consistency in communication among employees across departments.

Data Governance 52

Data Governance Government Healthcare Data Quality 52

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. For instance, a retail store dashboard like the one above will greatly help the manager in knowing his/her customers’ behavior. click to enlarge**.

Business Intelligence 108

Business Intelligence Business Intelligence Procurement Data Warehouse 108

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

SEPTEMBER 27, 2022

With a MySQL dashboard builder , for example, you can connect all the data with a few clicks. A host of notable brands and retailers with colossal inventories and multiple site pages use SQL to enhance their site’s structure functionality and MySQL reporting processes. These businesses include eBay, Autotrader, and Amazon.

IBM cost 117

IBM cost Data Warehouse Business Intelligence Business Intelligence 117

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.

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. 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

Astera

OCTOBER 30, 2024

This is because the integration of AI transforms the static repository into a dynamic, self-improving system that not only stores metadata but also enhances data context and accessibility to drive smarter decision-making across the organization. And when everyone has easy access to data, they can collaborate and meet demands more effectively.

Data Discovery 52

Data Discovery Supply Chain Data Quality Government 52

Domo

AUGUST 23, 2022

A: I always say that data discovery should start at the macro and waterfall into the micro. As a revenue owner, checking in on your stats needs to become a path of low resistance. That’s been the magic of Domo for us. The UX (user experience) is just so intuitive. Q: What led you to pick Domo as a BI partner?

E-Commerce 98

E-Commerce Digital Transformation Digital Data Discovery 98

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

Retail and Wholesale are the next that are best represented. Amazon also provides data and analytics – in the form of product ratings, reviews, and suggestions – to ensure customers are choosing the right products at the point of transaction. Tradition BI has been a popular way for large businesses to launch their data analytics.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52