Dashboards Data Collection Marketing Prescriptive Analytics 
CIO Business Intelligence
JULY 5, 2022
Business analytics and business intelligence (BI) serve similar purposes and are often used as interchangeable terms, but BI can be considered a subset of business analytics. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.
IBM Big Data Hub
SEPTEMBER 19, 2023
Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.
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Smart Data Collective
NOVEMBER 24, 2020
The market for business intelligence services is expected to reach $33.5 The current BI trends show that in the future, the BI software will be more accessible, so that even non-techie workers will rely on data insights in their working routine. Prescriptive Analytics. billion by 2025. Business Intelligence-as-a-Service.
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.
AWS Big Data
MARCH 26, 2024
This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. For example, you can use C360 to segment and create marketing campaigns that are more likely to resonate with specific groups of customers. faster time to market, and 19.1%
FineReport
FEBRUARY 23, 2020
Database reporting on NoSQL data sources that require either a customized SQL connector or database plugin for accessing data. The data collected and stored in the database is a large amount in the company. The traditional method uses SQL and Excel to integrate data to make reports, which is inefficient and inaccurate.
Alation
AUGUST 26, 2021
Data intelligence first emerged to support search & discovery, largely in service of analyst productivity. For years, analysts in enterprises had struggled to find the data they needed to build reports. This problem was only exacerbated by explosive growth in data collection and volume. Stewardship dashboards.
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