Descriptive Analytics Enterprise Forecasting Risk 
CIO Business Intelligence
JUNE 7, 2022
The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.
FineReport
MARCH 24, 2024
Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue.
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FineReport
APRIL 26, 2023
In this article, we will explore the importance of Big Data, why enterprises need Big Data tools, how to choose the right Big Data analytics tools and provide a list of the top 10 Big Data analytics tools available today. Why do Enterprises Need Big Data Tools? How to Choose the Right Big Data Analytics Tools?
Alation
NOVEMBER 28, 2022
Spreadsheets dominate the activities of gathering and preparing data, and performing descriptive analytics. Source: IDC, Data and Analytics in a Digital-First World commissioned by Alteryx. Consider how many analytic spreadsheets exist in large enterprise organizations. Spreadsheets are dark matter.
CIO Business Intelligence
OCTOBER 10, 2022
This hampered the company from having an enterprise-wide view. The company also wanted to improve forecasting accuracy by harnessing the power of intelligent technologies. FHCS integrated its landscape built on SAP ERP and SAP Business Warehouse with specialized forecasting in SAP Integrated Business Planning (IBP).
datapine
MARCH 25, 2022
Well, what if you do care about the difference between business intelligence and data analytics? It doesn’t matter if you run a small business operation or enterprise, if you have to make decisions that will affect you in the short or long run, it is wise to use both. What Is Business Intelligence And Analytics?
BizAcuity
MARCH 31, 2022
85% of AI (marketing) projects fail due to risk, confusion, and lack of upskilling among marketing teams.(Source: Not just banking and financial services, but many organizations use big data and AI to forecast revenue, exchange rates, cryptocurrencies and certain macroeconomic variables for hedging purposes and risk management.
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