Smarten

NOVEMBER 19, 2018

Can Predictive Analytics Help You Achieve Business Objectives? If an organization wishes to be successful in the market and in its competitive efforts, it must accurately forecast and predict the future of its business, plan for new locations and products or services, and optimize internal operations.

Business Objectives 40

Business Objectives Predictive Analytics Analytics Forecasting 40

Smarten

APRIL 10, 2023

Investment in predictive analytics benefits everyone in the organization, including business users and team members, data scientists and the organization in general. Decisions are made on a more timely basis, problem solving is easier and the business can avoid re-work and damaging missteps in the market.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Prescriptive Analytics 52

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.

Predictive Analytics 123

Predictive Analytics Analytics Predictive Modeling Data mining 123

FineReport

APRIL 9, 2024

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Smarten

MAY 29, 2023

Affordable plans with flexible pricing to allow the enterprise to provide this functionality to all business users – you can get started for less than $10/month. The ability to create, share and use unlimited predictive model objects. Automatic generation of models. Advanced data preparation.

Prescriptive Analytics 52

Prescriptive Analytics Predictive Modeling Digital Transformation Business Objectives 52

Rocket-Powered Data Science

JULY 6, 2021

Customer purchase patterns, supply chain, inventory, and logistics represent just a few domains where we see new and emergent behaviors, responses, and outcomes represented in our data and in our predictive models. The key difference is this: monitoring is what you do, and observability is why you do it.

Data-driven 279

Data-driven Machine Learning IoT Deep Learning 279

Birst BI

OCTOBER 30, 2018

The credit scores generated by the predictive model are then used to approve or deny credit cards or loans to customers. A well-designed credit scoring algorithm will properly predict both the low- and high-risk customers. Integrate the data sources of the various behavioral attributes into a functional data model.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73