Smart Data Collective

MAY 13, 2022

In addition, several enterprises are using AI-enabled programs to get business analytics insights from volumes of complex data coming from various sources. AI is undoubtedly a gamechanger for business intelligence. As unstructured data comes from different sources and is stored in various locations.

Business Analytics 134

Business Analytics Analytics Unstructured Data Data-driven 134

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

Cloudera

JANUARY 5, 2021

In today’s retail environment, retailers realize that building demand forecasts simply based upon historical transaction, promo, and pricing data alone is not good enough. Data today has a shelf life much like produce and needs to be updated in real-time to be relevant. Including new data sources like demand signals (e.g.

Forecasting 90

Forecasting Cost-Benefit Sales Unstructured Data 90

Smart Data Collective

NOVEMBER 25, 2019

Instead, they’ll turn to big data technology to help them work through and analyze this data. Predictive Business Analytics. Some of these new tools use AI to predict events more accurately by employing predictive analytics to identify subtle relationships between even seemingly unrelated variables.

Business Intelligence 102

Business Intelligence Predictive Analytics Data Collection Internet of Things 102

datapine

AUGUST 14, 2019

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. Source: mathworks.com.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Rita Sallam

JULY 22, 2016

Summary of Differences Between Traditional and Modern Business Intelligence Platforms by Analytic Workflow Component. Q2: Would you consider Sisense better than others in handling big and unstructured data? Q4: Are we going to discuss Predictive types of Analytics in this discussion? Enjoy your summer!!

Analytics 40

Analytics Business Intelligence Metadata Statistics 40