CIO Business Intelligence
FEBRUARY 6, 2025
For example, at a company providing manufacturing technology services, the priority was predicting sales opportunities, while at a company that designs and manufactures automatic test equipment (ATE), it was developing a platform for equipment production automation that relied heavily on forecasting.
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).
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IBM Big Data Hub
SEPTEMBER 19, 2023
Diagnostic analytics: Diagnostic analytics helps pinpoint the reason an event occurred. Manufacturers can analyze a failed component on an assembly line and determine the reason behind its failure. Descriptive analytics: Descriptive analytics evaluates the quantities and qualities of a dataset.
CIO Business Intelligence
OCTOBER 10, 2022
Shifting descriptive analytics to predictive analytics is a huge undertaking for most companies in their digital transformation. With enterprise-wide planning, we built a simulation platform to establish confidence in our predictions and ensure a smooth transition to predictive steering,” said Jochen Moelber, CIO of FHCS. .
BizAcuity
MARCH 31, 2022
AI comes handy for managing inventory, manufacturing, production and marketing. Artificial Intelligence Analytics. Customer satisfaction is the single-most priority that this entire industry is centered around. It can only be achieved through sophisticated use of AI. AI Platforms. Not to be confused with AI-driven platforms.
FineReport
APRIL 26, 2023
For example, a computer manufacturing company could develop new models or add features to products that are in high demand. 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.”
Rocket-Powered Data Science
OCTOBER 6, 2023
Here are a few business examples of this type of prescriptive analytics: Which marketing campaign is most efficient and effective (has best ROI) in optimizing sales? Which environmental factors during manufacturing, packaging, or shipping lead to reduced product returns? Which pricing strategies lead to the best business revenue?
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