Descriptive Analytics Forecasting Reporting Risk 
CIO Business Intelligence
JUNE 7, 2022
To ensure robust analysis, data analytics teams leverage a range of data management techniques, including data mining, data cleansing, data transformation, data modeling, and more. What are the four types of data analytics? In business analytics, this is the purview of business intelligence (BI).
FineReport
MARCH 24, 2024
By conducting extensive research and analysis, they generate reports that inform strategic decisions, identify areas for enhancement, and guide the implementation of new initiatives. Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios.
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FineReport
APRIL 26, 2023
The Big Data ecosystem is rapidly evolving, offering various analytical approaches to support different functions within a business. Descriptive Analytics is used to determine “what happened and why.” ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards.
Alation
NOVEMBER 28, 2022
Spreadsheets dominate the activities of gathering and preparing data, and performing descriptive analytics. Sales operations rely on spreadsheets for forecasting and resource planning. The risk of using untrusted data in spreadsheets is significant when you consider how many serious decisions are based upon them.
datapine
MARCH 25, 2022
While BI tells you what has happened in the past and what is happening now (descriptive analytics), BA tells you what will happen in the future (predictive analytics). Descriptive analytics : As its name suggests, this analysis method is used to describe and summarize the main characteristics found on a dataset.
CIO Business Intelligence
OCTOBER 10, 2022
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). Save significant time with reporting automation .
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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