article thumbnail

What is business intelligence? Transforming data into business insights

CIO Business Intelligence

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions. BI tools could automatically generate sales and delivery reports from CRM data.

article thumbnail

Reporting Analytics vs. Financial Reporting: Is There a Difference?

Jet Global

Multi-dimensional analysis is sometimes referred to as “OLAP”, which stands for “online analytical processing.” As the technology to produce such visualizations has become increasingly powerful and affordable, business leaders are using them more than ever to gain rapid insights into what’s happening in their companies.

Insiders

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

What’s the Difference Between Business Intelligence and Business Analytics?

Sisense

BA and BI are broad terms covering all kinds of technologies and approaches – and, to add to the confusion, are often used interchangeably. So…what is the difference between business intelligence and business analytics? What Does “Business Analytics” Mean? See an example: Explore Dashboard. Is there a difference at all?

article thumbnail

Business Intelligence Solutions: Every Thing You Need to Know

FineReport

However, along with the diffusion of digital technology, the amount of data is getting larger and larger, and data collection and cleaning work have become more and more time-consuming. Business intelligence solutions are a whole combination of technology and strategy, used to handle the existing data of the enterprises effectively.

article thumbnail

Unleashing the power of Presto: The Uber case study

IBM Big Data Hub

As a result, they continue to expand their use cases to include ETL, data science , data exploration, online analytical processing (OLAP), data lake analytics and federated queries. It can ingest data from offline batch data sources (such as Hadoop and flat files) as well as online data sources (such as Kafka).

OLAP 88
article thumbnail

Financial Intelligence vs. Business Intelligence: What’s the Difference?

Jet Global

Finance leaders that were quick to recognize the new paradigm got a head start, using the new technology to make their organizations more efficient and profitable. Over the past few decades, however, technology has been closing that gap. Today’s technology takes this evolution a step further.

article thumbnail

How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

Data inbound This section consists of components to process and load the data from multiple sources into data repositories. ETL (extract, transform, and load) technologies, streaming services, APIs, and data exchange interfaces are the core components of this pillar. However, it’s not mandatory to use the same technologies.