datapine

DECEMBER 4, 2019

Moreover, as most predictive analytics capabilities available today are in their infancy — they have simply not been used for long enough by enough companies on enough sources of data – so the material to build predictive models on was quite scarce. Last but not least, there is the human factor again. Graph Analytics.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

CIO Business Intelligence

JUNE 5, 2024

With the help of Hawk-Eye, Statcast tracks and quantifies all manner of data: pitching (including velocity, spin rate and direction, and movement), hitting (exit velocity, launch angle, batted ball distance), running (sprint speed, base-to-base times), and fielding (arm strength, catch probability, catcher pop time).

Optimization 125

Optimization Predictive Modeling Data-driven Modeling 125

AWS Big Data

MARCH 7, 2023

ETL (extract, transform, and load) technologies, streaming services, APIs, and data exchange interfaces are the core components of this pillar. Unlike ingestion processes, data can be transformed as per business rules before loading. You can apply technical or business data quality rules and load raw data as well.

Analytics 97

Analytics Data Warehouse Data Lake Metadata 97

Smarten

APRIL 19, 2024

Anomaly Alerts KPI monitoring and Auto Insights allows business users to quickly establish KPIs and target metrics and identify the Key Influencers and variables for the target KPI. As businesses work toward these goals, the use of systems monitors will become more important.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

DataRobot Blog

DECEMBER 15, 2022

While AI-powered forecasting can help retailers implement sales and demand forecasting—this process is very complex, and even highly data-driven companies face key challenges: Scale: Thousands of item combinations make it difficult to manually build predictive models. Prepare your data for Time Series Forecasting.

Forecasting 81

Forecasting Modeling ROI Machine Learning 81

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. This resulted in increased profitability and strengthened competitive positioning within the industry.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Smarten

DECEMBER 3, 2023

‘Giving your team the right tools and a simple way to manage the overwhelming flow of data is crucial to business success.’ So, what does all this mean to your business? Why is augmented analytics an important factor in your success? The typical business will find it difficult to achieve approval for a new software solution.

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

Decision Management Solutions

NOVEMBER 13, 2018

This was the leading obstacle to high impact analytics, outscoring even poor data quality or a lack of strategic support or alignment. Following this approach, everyone can clearly see what analytic will fit in the decision, how precise it needs to be, what data is needed, how it can be deployed, measured, explained, and more.

Insurance 40

Insurance Analytics Modeling Visualization 40

DataKitchen

NOVEMBER 27, 2024

A Guide to the Six Types of Data Quality Dashboards Poor-quality data can derail operations, misguide strategies, and erode the trust of both customers and stakeholders. However, not all data quality dashboards are created equal. These dimensions provide a best practice grouping for assessing data quality.

Data Quality 216

Data Quality Dashboards Metrics Cost-Benefit 216

Jet Global

MAY 9, 2024

Machine Learning Pipelines : These pipelines support the entire lifecycle of a machine learning model, including data ingestion , data preprocessing, model training, evaluation, and deployment. API Data Pipelines : These pipelines retrieve data from various APIs and load it into a database or application for further use.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Cloudera

DECEMBER 9, 2024

Many enterprises encounter bottlenecks related to data quality, model deployment, and infrastructure requirements that hinder scaling efforts. Effortless Model Deployment with Cloudera AI Inference Cloudera AI Inference service offers a powerful, production-grade environment for deploying AI models at scale.

Data Processing 74

Data Processing Predictive Analytics Modeling Optimization 74

CIO Business Intelligence

MAY 6, 2025

Predictive analytics: Turning insight into foresight Predictive analytics uses historical data and statistical models or machine learning algorithms to answer the question, What is likely to happen? Whats worse, poor quality undermines trust, and once thats gone, its hard to win back stakeholders.

Prescriptive Analytics 78

Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI 78