Dashboards Online Analytical Processing Optimization Technology 
IBM Big Data Hub
SEPTEMBER 25, 2023
Uber’s DNA as an analytics company At its core, Uber’s business model is deceptively simple: connect a customer at point A to their destination at point B. With a few taps on a mobile device, riders request a ride; then, Uber’s algorithms work to match them with the nearest available driver and calculate the optimal price.
FineReport
JUNE 24, 2021
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.
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Jet Global
APRIL 20, 2020
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.
Jet Global
AUGUST 14, 2019
While the technology behind enabling computers to simulate human thought has been developing, at times slowly, over the past half-century, the cost of implementation, readily available access to cloud computing, and practical business use cases are primed to help AI make a dramatic impact in the enterprise over the next few years.
AWS Big Data
MARCH 7, 2023
They should also provide optimal performance with low or no tuning. 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.
Jet Global
SEPTEMBER 4, 2020
Data warehouses gained momentum back in the early 1990s as companies dealing with growing volumes of data were seeking ways to make analytics faster and more accessible. Online analytical processing (OLAP), which enabled users to quickly and easily view data along different dimensions, was coming of age.
Jet Global
OCTOBER 2, 2019
While the technology behind enabling computers to simulate human thought has been developing, at times slowly, over the past half-century, the cost of implementation, readily available access to cloud computing, and practical business use cases are primed to help AI make a dramatic impact in the enterprise over the next few years.
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