Octopai

JUNE 9, 2024

The goal was to develop sophisticated data products, such as predictive analytics models to forecast patient needs, patient care optimization tools, and operational efficiency dashboards. Predictive analytics models became more accurate as they were based on trustworthy data flows. This is where Octopai excels.

IT 52

IT Data-driven Predictive Analytics Data Strategy 52

Alation

MAY 4, 2023

Plus, this integration offers impressive performance when building real-time dashboards and visualizations that turn raw datasets into beautiful stories for viewers. Data Catalog Definition A data catalog is a collection of organized metadata that governs the workflow and processes for data scientists.

Visualization 52

Visualization Metadata Data Governance KPI 52

Cloudera

JANUARY 5, 2023

What will determine the winners from the laggards will hinge on the speed at which predictive analytics can be executed, and the cost-benefit ratio related to these algorithmic paradigms. These features provide businesses with a common metadata, security, and governance model across all their data.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

Domino Data Lab

JUNE 2, 2019

If your business is using big data and putting dashboards in front of analysts, you’re missing the point.”. For example, a request for a descriptive dashboard to “compare whether a red button or a blue button leads to lower churn” might be better served by a prescriptive model to personalize pages so that customers churn less.

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

Alation

MARCH 21, 2023

Seasonality and trend predictions Many online travel companies use dynamic and flexible pricing strategies to respond to changes in demand and supply. Using predictive analytics, travel companies can forecast customer demand around things like holidays or weather to set optimum prices that maximize revenue.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Alation

MAY 4, 2023

Plus, this integration offers impressive performance when building real-time dashboards and visualizations that turn raw datasets into beautiful stories for viewers. Data Catalog Definition A data catalog is a collection of organized metadata that governs the workflow and processes for data scientists.

Visualization 40

Visualization Metadata Data Governance KPI 40

Ontotext

FEBRUARY 26, 2024

Strategic planning and predictive analytics : Companies can use this analysis for strategic planning. Quality assurance process, covering gold standard creation , extraction quality monitoring, measurement, and reporting via Ontotext Metadata Studio. Using machine learning, RED indicates the impact of events on stock prices.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

Andrew White

JANUARY 11, 2021

Remember, it’s not about how many records were cleaned up or how many dashboards were generated, it’s about how much of an impact on the outcome the worm of D&A has that counts. Yes, prescriptive and predictive analytics remain very popular with clients. where performance and data quality is imperative? Would you agree?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

AWS Big Data

APRIL 28, 2023

Tens of thousands of customers use Amazon Redshift to process exabytes of data per day and power analytics workloads such as BI, predictive analytics, and real-time streaming analytics. Amazon Redshift Serverless makes it convenient for you to run and scale analytics without having to provision and manage data warehouses.

Interactive 111

Interactive Data Warehouse Metadata Data-driven 111

Jet Global

MAY 1, 2023

Their dashboards were visually stunning. In turn, end users were thrilled with the bells and whistles of charts, graphs, and dashboards. When visualizations alone aren’t enough to set an application apart, is there still a way for product teams to monetize embedded analytics? Yes—but basic dashboards won’t be enough.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

David Menninger's Analyst Perspectives

JANUARY 9, 2025

Unlike a general-purpose data store such as a data warehouse, everything the user needs is readily available and easily accessible, with metadata labels that are immediately recognized and understood. By automating the collection of data, reports and dashboards can be timelier.

Finance 130

Finance Forecasting Data Warehouse Interactive 130

BI-Survey

FEBRUARY 7, 2022

Powered by these technological innovations, the increasing scope of analytics requirements is successfully covered by tailored solutions. . Advanced and predictive analytics , machine learning and AutoML are all prime examples of this increasing scope. And transparency is a must to democratize access to data in a company.

Analytics 52

Analytics Metadata Cost-Benefit Software 52

BI-Survey

FEBRUARY 6, 2020

Recent years have seen extensive interest in topics around explorative BI such as advanced and predictive analytics. ML allows non-statisticians to leverage advanced and predictive analytics to detect hidden patterns and correlations in data, increasing the depth of analyses conducted. .

Reporting 59

Reporting Optimization Enterprise Data Quality 59