IBM Big Data Hub

SEPTEMBER 19, 2023

How effectively and efficiently an organization can conduct data analytics is determined by its data strategy and data architecture , which allows an organization, its users and its applications to access different types of data regardless of where that data resides.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

AWS Big Data

MARCH 26, 2024

Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels. Plan on how you can enable your teams to use ML to move from descriptive to prescriptive analytics.

Data Strategy 79

Data Strategy Strategy Data Warehouse Prescriptive Analytics 79

IBM Big Data Hub

JANUARY 17, 2023

With this capability, not only can data-driven companies operationalize data science models on any cloud while instilling trust in AI outcomes, but they are also in a position to improve the ability to manage and govern the AI lifecycle to optimize business decisions with prescriptive analytics. Start a trial.

Data-driven 56

Data-driven Enterprise Data Governance Data Science 56

Jet Global

MAY 1, 2023

Advanced Analytics Provide the unique benefit of advanced (and often proprietary) statistical models in your app. Data Environment First off, the solutions you consider should be compatible with your current data architecture. Predictive Analytics: If x, then y (e.g., Now explaining why things happened (e.g.,

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Speaker: speakers from Verizon, Snowflake, Affinity Federal Credit Union, EverQuote, and AtScale

Driving a self-service analytics culture with a semantic layer. Using predictive/prescriptive analytics, given the available data. The impact that data literacy programs and using a semantic layer can deliver. Avoiding common analytics infrastructure and data architecture challenges.

Prescriptive Analytics