Smart Data Collective

MAY 20, 2019

There are many reasons why data is being generated so quickly — doubling in size every two years. The birth of IoT and connected devices is just one source, while the need for more reliable real-time data is another. They specifically help shape the industry, altering how business analysts work with data.

Cloud Computing 279

Cloud Computing Big Data IBM Support Real-time Data 279

CMW Lab Blog

NOVEMBER 20, 2024

Predictive Analytics Business Impact: Area Traditional Analysis AI Prediction Benefit Forecast Accuracy 70% 92% +22% Risk Assessment Days Minutes 99% faster Cost Prediction ±20% ±5% 75% more accurate Source: McKinsey Global Institute Implementation Strategies 1.

Artificial Intelligence 52

Artificial Intelligence IBM Maintenance IBM cost IBM Support 52

Astera

JUNE 13, 2023

Evolution of Data Pipelines: From CPU Automation to Real-Time Flow Data pipelines have evolved over the past four decades, originating from the automation of CPU instructions to the seamless flow of real-time data. Techniques like data profiling, data validation, and metadata management are utilized.

E-Commerce 52

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

Astera

NOVEMBER 1, 2023

Think of a database as a digital filing cabinet that allows users to store, retrieve, and manipulate data efficiently. Databases are optimized for fast read and write operations, which makes them ideal for applications that require real-time data processing and quick access to specific information.

Data Warehouse 40

Data Warehouse Real-time Data E-Commerce Data Governance 40

Astera

AUGUST 5, 2024

Moreover, business data analytics enables companies to personalize marketing strategies and refine product offerings based on customer preferences, fostering stronger customer relationships and loyalty. There are many types of business analytics.

Supply Chain 40

Supply Chain Logistics Visualization Predictive Analytics 40

Astera

OCTOBER 30, 2024

Many of these decisions will lead to innovative uses of data, which improve the bottom line. For example, marketers can improve conversion rates and drive revenue growth by using predictive analytics to understand customer behavior and personalize marketing strategies.

Data Discovery 52

Data Discovery Supply Chain Data Quality Government 52