Smart Data Collective

AUGUST 30, 2022

Analytics technology is very important for modern business. Companies spent over $240 billion on big data analytics last year. There are many important applications of data analytics technology. Analytics Can Be Essential for Helping Companies with their Pricing Strategies. Dynamic Pricing.

Data Mining 329

Data Mining Data Analytics Data Analytics Real-time Data 329

Smart Data Collective

AUGUST 30, 2022

Companies must take advantage of the information about their customers to stay updated and respond in real-time for quick decision-making. Cloud computing ( [link] ) can be used to support real-time data streams for better business decision-making. Big data analytics.

Cloud Computing 335

Cloud Computing Data Mining Real-time Data Big Data 335

BizAcuity

MAY 16, 2022

Cutting down latency or delay is now one of the most crucial elements of business intelligence strategy in present times. As a data analytics company, we have been observing a trend among certain large enterprises who are looking for real-time data streaming for analytics. Data mining.

Business Intelligence 130

Business Intelligence Business Intelligence Data Mining Data Warehouse 130

Smart Data Collective

APRIL 8, 2020

In fact, studies by the Gigabit Magazine depict that the amount of data generated in 2020 will be over 25 times greater than it was 10 years ago. Furthermore, it has been estimated that by 2025, the cumulative data generated will triple to reach nearly 175 zettabytes.

Data Warehouse 336

Data Warehouse Big Data Business Intelligence Business Intelligence 336

Smart Data Collective

APRIL 7, 2022

Companies in the distribution industry are particularly dependent on data, due to the complicated logistics issues they encounter. There are many reasons that data analytics and data mining are vital aspects of modern e-commerce strategies. Integrated ERP makes eCommerce easier to manage for a business’s staff.

E-Commerce 270

E-Commerce Supply Chain Retail Logistics 270

BizAcuity

APRIL 19, 2019

Adaptive machine and business analytics, applying cutting-edge machine learning and other technologies are proving helpful in spotting anomalies among users in real-time and fighting this issue.

Data Mining 189

Data Mining Real-time Data Data Analytics Data Analytics 189

Astera

DECEMBER 21, 2022

In simple terms, data extraction is the process of extracting and gathering data from semi-structured and unstructured sources, such as emails, PDF documents, PDF forms, text files, social media, barcodes, and images. How is unstructured data extraction done? Data Extraction vs. Data Mining.

Data Mining 52

Data Mining Documentation Data Quality Data Warehouse 52