Descriptive Analytics Forecasting Information Risk 
FineReport
MARCH 24, 2024
Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.
Alation
NOVEMBER 28, 2022
Everyone has a responsibility to make the best, most informed decisions, which requires access to data. Spreadsheets dominate the activities of gathering and preparing data, and performing descriptive analytics. Sales operations rely on spreadsheets for forecasting and resource planning. Spreadsheets are dark matter.
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FineReport
APRIL 26, 2023
With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth. The term “Big” does not only refer to its size, but also to its capacity to acquire, organize, and process information beyond the capabilities of traditional databases.
Cloudera
MARCH 2, 2018
The private sector already very successfully uses data analytics and machine learning not only to realise efficiency gains but also – even more importantly – to create completely new services and business models. Gain improved intelligence on operating context and needs through expanded use of descriptive analytics techniques.
datapine
MARCH 25, 2022
Business intelligence and analytics are data management solutions implemented in companies and enterprises to collect historical and present data, while using statistics and software to analyze raw information, and deliver insights for making better future decisions. Let’s see a conceptual definition of the two.
CIO Business Intelligence
OCTOBER 10, 2022
Information was collected from multiple, disparate data sources, and planners were using different tools. The company also wanted to improve forecasting accuracy by harnessing the power of intelligent technologies. This enabled the company to generate simulations, planning, and reporting solutions based on SAP Analytics Cloud.
BizAcuity
MARCH 31, 2022
This article (like thousands of other articles), is aimed at presenting consolidated information about AI for business in simple language. 85% of AI (marketing) projects fail due to risk, confusion, and lack of upskilling among marketing teams.(Source: Artificial Intelligence Analytics. AI for Business. Source: PwC).
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