Jen Stirrup
SEPTEMBER 30, 2021
If you’ve previously done work in SQL Server Analysis Services, you will know that Analysis Services had data mining functionality. Excel specialists may know that Excel also has a series of Data Mining Add-ins. This may also involve the generation of a preliminary plan designed to deliver the business objectives.
Rocket-Powered Data Science
JULY 6, 2021
The almost forgotten “orphan” in these architectures, Fog Computing (living between edge and cloud), is now moving to a more significant status in data and analytics architecture design. The key difference is this: monitoring is what you do, and observability is why you do it.
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Smart Data Collective
SEPTEMBER 16, 2020
Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.
CIO Business Intelligence
JUNE 28, 2023
It’s worth noting that each initiative carried its own unique complexity, such as varying data sizes, data variety, statistical and computational models, and data mining processing requirements. Working with non-typical data presents us with a reality where encountering challenges is part of our daily operations.”
Smart Data Collective
SEPTEMBER 25, 2023
While there are many benefits of big data technology, the steep price tag can’t be ignored. Companies need to appreciate the reality that they can drain their bank accounts on data analytics and data mining tools if they don’t budget properly. Look for inefficiencies that can be streamlined.
Alation
MARCH 29, 2022
Slow requirements led technology leaders to demand proactive business intelligence. As Business Objects founder Bernard Liautaud notes in e-Business Intelligence: Turning Information Into Knowledge Into Profit (McGraw-Hill, 2001), the lack of ad hoc data access causes IT staff to drown in requests.
datapine
MARCH 31, 2022
S/He is responsible for providing cost-effective solutions to achieve business objectives, comparing operational progress against project development while assisting in planning budgets, forecasts, timelines, and developing reports on performance metrics. SAS BI: SAS can be considered the “mother” of all BI tools.
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