CIO Business Intelligence
JUNE 7, 2022
More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning.
IBM Big Data Hub
JANUARY 25, 2024
Considering that IDC surveyed 37% of companies that manage spare parts inventory by using spreadsheets, email, shared folders or an uncertain approach, it becomes evident that this practice carries more risk than it might seem. Can you conduct what-if scenarios to visualize your options? Now, consider the just-in-case approach.
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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.
Smarten
MAY 31, 2022
The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Analyze the Model with Visualization and Interpretation. Competitive Changes. Market Changes. Trends and Patterns.
IBM Big Data Hub
JULY 6, 2023
The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining. It’s also necessary to understand data cleaning and processing techniques.
Cloudera
JULY 18, 2018
To arrive at quality data, organizations are spending significant levels of effort on data integration, visualization, and deployment activities. Ember exploits FHIR beyond data exchange to empower interoperable analytics.
Birst BI
OCTOBER 30, 2018
Every day, these companies pose questions such as: Will this new client provide a good return on investment, relative to the potential risk? Is this existing client a termination risk? A well-designed credit scoring algorithm will properly predict both the low- and high-risk customers. Will this next trade return a profit?
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