Smart Data Collective
NOVEMBER 24, 2020
As the use of intelligence technologies is staggering, knowing the latest trends in business intelligence is a must. The market for business intelligence services is expected to reach $33.5 top 5 key platforms that control the future of business intelligence impacts BI may have on your business in the future.
ODSC - Open Data Science
FEBRUARY 12, 2024
Augmented analytics — which automates more of the analytics journey through AI — can address conventional obstacles to make it easier to turn data into relevant, accurate and actionable insights. As it happens, this area is also an ideal application for augmented analytics. REGISTER NOW 2.
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Dataversity
AUGUST 24, 2021
As analyst and journalist Bernard Marr put it, “Without data scientists on staff or available to interpret data and turn the intel into solid business activity, the benefits of data could remain unlocked.” Augmented analytics promises to improve the ability of organizations to derive benefits from data by: Taking more […].
Dataversity
APRIL 29, 2024
The sheer volume and complexity of information available have made it increasingly difficult for organizations to extract meaningful insights using traditional business intelligence (BI) tools and the expertise of specialized data scientists. This is where augmented analytics comes in.
Dataversity
FEBRUARY 1, 2023
What is business intelligence democratization? Put simply, BI democratization is the open access to business intelligence and augmented analytics tools to enable analysis and understanding of the data within the enterprise systems. The “democratization” component relates to the “who.”
Dataconomy
AUGUST 24, 2023
In the modern era of data-driven decision-making, business intelligence projects have become the cornerstone for organizations aiming to harness their data for strategic insights. There are perhaps thousands of different approaches to the analysis of data, each with the potential to create new business intelligence projects.
Dataversity
JULY 21, 2022
Despite its many benefits, the emergence of high-performance machine learning systems for augmented analytics over the last 10 years has led to a growing “plug-and-play” analytical culture, where high volumes of opaque data are thrown arbitrarily at an algorithm until it yields useful business intelligence.
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