IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 85

Data Science Data Analytics Prescriptive Analytics Analytics 85

Rocket-Powered Data Science

JULY 19, 2023

The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data. The ease with which such structured data can be stored, understood, indexed, searched, accessed, and incorporated into business models could explain this high percentage.

Data-driven 186

Data-driven Enterprise Analytics Machine Learning 186

CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

CIO Business Intelligence

NOVEMBER 14, 2022

Digital marketing and services firm Clearlink uses a DSS system to help its managers pinpoint which agents need extra help. They emphasize access to and manipulation of large databases of structured data, often a time-series of internal company data and sometimes external data. Analytics, Data Science

Data mining 142

Data mining Data-driven Statistics OLAP 142

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. For example, you can use C360 to segment and create marketing campaigns that are more likely to resonate with specific groups of customers. faster time to market, and 19.1%

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

Sisense

JUNE 30, 2020

The simplest type, descriptive analytics , describes something that has already happened and suggests its root causes. A simple example would be the analysis of marketing campaigns. Predictive analytics is the most beneficial, but arguably the most complex type. Using visualizations to make smarter decisions.

Visualization 93

Visualization Analytics Dashboards Data-driven 93