Sisense

OCTOBER 29, 2020

However, the experts agree that there is one critical enabler in expediting their adoption — data. Data is the dealbreaker. Data is a critical factor in getting to where we need to be,” explained Ramsey. Ramsey said that, while all real AI and machine learning (ML) processing is done in the cloud right now, this will change.

Artificial Intelligence 90

Artificial Intelligence Cybersecurity Data Analytics Data Analytics 90

Astera

SEPTEMBER 28, 2023

Data Quality: ETL facilitates data quality management , crucial for maintaining a high level of data integrity, which, in turn, is foundational for successful analytics and data-driven decision-making. ETL pipelines ensure that the data aligns with predefined business rules and quality standards.

Data Warehouse 52

Data Warehouse Data Quality E-Commerce Real-time Data 52

Astera

SEPTEMBER 20, 2023

Data Movement Data movement from source to destination, with minimal transformation. Data movement involves data transformation, cleansing, formatting, and standardization. Data Quality Consideration Emphasis is on data availability rather than extensive data quality checks.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

SEPTEMBER 20, 2023

Data Movement Data movement from source to destination, with minimal transformation. Data movement involves data transformation, cleansing, formatting, and standardization. Data Quality Consideration Emphasis is on data availability rather than extensive data quality checks.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

DECEMBER 28, 2023

Top Informatica Alternatives to Consider in 2024 Astera Astera is an end-to-end, automated data management and integration platform powered by artificial intelligence (AI). The tool enables users of all backgrounds to build their own data pipelines within minutes. Error-handling and available documentation lack depth.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

DECEMBER 28, 2023

Top Informatica Alternatives to Consider in 2024 Astera Astera is an end-to-end, automated data management and integration platform powered by artificial intelligence (AI). The tool enables users of all backgrounds to build their own data pipelines within minutes. Error-handling and available documentation lack depth.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Data Pine

JANUARY 21, 2020

Reporting in business intelligence is a seamless process since historical data is also provided within an online reporting tool that can process and generate all the business information needed. Another crucial factor to consider is the possibility to utilize real-time data. Enhanced data quality.

Business Intelligence 103

Business Intelligence Business Intelligence Procurement Artificial Intelligence 103

Astera

JULY 13, 2023

This would allow the sales team to access the data they need without having to switch between different systems. Enterprise Application Integration (EAI) EAI focuses on integrating data and processes across disparate applications within an organization.

Data Warehouse 40

Data Warehouse Data Governance Data Quality Master Data Management 40

Astera

NOVEMBER 13, 2023

In industries like finance, where historical data can inform investment decisions, or retail, where it helps with inventory management and demand forecasting, the ability to monitor past data records is crucial. Normalization involves breaking down dimension tables into sub-dimensions, reducing data redundancy.

Data Warehouse 52

Data Warehouse E-Commerce Supply Chain Real-time Data 52

Data Pine

OCTOBER 25, 2022

Not only will you learn how to handle big data and use it to enhance your everyday operations, but you’ll also gain access to a host of case studies that will put all of the tips, methods, and ideas into real-world perspective. One of the most intelligently crafted BI books on our list.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

Data Pine

AUGUST 29, 2022

4) Big Data: Principles and Best Practices Of Scalable Real-Time Data Systems by Nathan Marz and James Warren. Best for: For readers that want to learn the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they’re built. The author, Anil Maheshwari, Ph.D.,

Big Data 105

Big Data Data Analytics Data Analytics IBM Maintenance 105

Domo

NOVEMBER 15, 2021

Domo spends a lot of time discussing and defining “modern BI”—and for good reason: It’s the next rung on the digital transformation ladder, which is to say it’s a data-driven approach that puts real-time data into the hands of business personnel, fostering innovation, better decision-making, and an ability to solve more complex problems, fast.

Digital Transformation 52

Digital Transformation Skillset Innovation Monitoring 52