IBM Big Data Hub
JULY 27, 2022
The AIOps engine is focused on addressing four key things: Descriptive analytics to show what happened in an environment. Predictive analytics to show what will happen next. Prescriptive analytics to show how to achieve or prevent the prediction. Diagnostics to show why it happened.
Sisense
SEPTEMBER 12, 2019
With a goal of getting to the end of the chart with predictive and prescriptive analytics, you can ask questions like: Are we going to hit our targets by the end of the year? Some organizations empower its end users with interactive dashboards. Do you want to be more efficient? Find a bottleneck in R&D?
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Sisense
OCTOBER 27, 2020
In The Future of Work , we explore how companies are transforming to stay competitive as global collaboration becomes vital. As companies digitally transform and become data-driven, each department and team needs to find its own ways to embrace data and insights to make smarter decisions. Who benefits from people analytics?
Alation
AUGUST 26, 2021
Cloud Transformation. Digital Transformation. Finally, data catalogs leverage behavioral metadata to glean insights into how humans interact with data. Augmented Analytics. DI empowers analysts to apply augmented analytics to applications, supporting predictive and prescriptive analytics use cases.
Andrew White
JANUARY 11, 2021
The most important education/familiarity (as you ask it) in my view is to understand or be intrigued with how humans take decisions; a desire to learn how we think and behave; and a working knowledge for how a business outcome, process and data interact. Yes, prescriptive and predictive analytics remain very popular with clients.
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