Data mining OLAP Strategy 
Jet Global
JUNE 5, 2019
But data alone is not the answer—without a means to interact with the data and extract meaningful insight, it’s essentially useless. Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. Let’s introduce the concept of data mining.
CIO Business Intelligence
JANUARY 20, 2023
Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.
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FineReport
JUNE 24, 2021
Business intelligence solutions are a whole combination of technology and strategy, used to handle the existing data of the enterprises effectively. Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. Business Intelligence Solutions Definition.
Smart Data Collective
OCTOBER 25, 2023
One of them is by helping them improve their social media marketing strategies. With the help of BI tools, companies gain valuable insights, enabling them to decode user behavior, assess the impact of their social media strategies, and outshine their competitors. In the 1990s, OLAP tools allowed multidimensional data analysis.
FineReport
JULY 16, 2021
Through this way, it can support current corporate analysis and future decision or strategy making. Data Warehouse. Data warehouse includes the process of collecting all the data needed. You need the ability of data analysis to aid in enterprise modeling. Data Mining. Data Visualization.
FineReport
FEBRUARY 28, 2020
Enterprise Reporting Strategy . The most important in enterprise reporting strategy are: build enterprise reporting architecture, choose an enterprise reporting tool, and build an enterprise reporting portal. Here, I would take FineReport as an example in the following enterprise reporting strategy.
Sisense
AUGUST 11, 2019
BI lets you apply chosen metrics to potentially huge, unstructured datasets, and covers querying, data mining , online analytical processing ( OLAP ), and reporting as well as business performance monitoring, predictive and prescriptive analytics. But on the whole, BI is more concerned with the whats and the hows than the whys.
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