Remove Data Integration Remove Prescriptive Analytics Remove Visualization
article thumbnail

Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts.

article thumbnail

Biggest Trends in Data Visualization Taking Shape in 2022

Smart Data Collective

There are countless examples of big data transforming many different industries. It can be used for something as visual as reducing traffic jams, to personalizing products and services, to improving the experience in multiplayer video games. We would like to talk about data visualization and its role in the big data movement.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning.

article thumbnail

What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

The current BI trends show that in the future, the BI software will be more accessible, so that even non-techie workers will rely on data insights in their working routine. Prescriptive Analytics. Unique feature: custom visualizations to fit your business needs better. Advantage: unpaired control over data. .

article thumbnail

Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Data exploration Data exploration helps unearth inconsistencies, outliers, or errors.

article thumbnail

Introducing Cloudera DataFlow (CDF)

Cloudera

Flow Management – Adopt a no-code approach to create visual flows for building complex data ingestion / transformation with drag-and-drop ease. Powered by Apache NiFi and its 260+ pre-built processors, CDF enables you to take on extremely high-scale, high-volume and high-speed data ingestion use cases with simplicity and ease.

IoT 73
article thumbnail

Machine Learning and AI Underpin Predictive Analytics to Achieve Clinical Breakthroughs

Cloudera

For those asking big questions, in the case of healthcare, an incredible amount of insight remains hidden away in troves of clinical notes, EHR data, medical images, and omics data. To arrive at quality data, organizations are spending significant levels of effort on data integration, visualization, and deployment activities.