Cloudera

JANUARY 5, 2021

In today’s retail environment, retailers realize that building demand forecasts simply based upon historical transaction, promo, and pricing data alone is not good enough. Data today has a shelf life much like produce and needs to be updated in real-time to be relevant. Including new data sources like demand signals (e.g.

Forecasting 91

Forecasting Cost-Benefit Sales Unstructured Data 91

Cloudera

FEBRUARY 25, 2021

Today’s enterprise data science teams have one of the most challenging, yet most important roles to play in your business’s ML strategy. In our current landscape, businesses that have adopted a successful ML strategy are outperforming their competitors by over 9%. Structural Time Series. Churn Modeling with scikit-learn.

Deep Learning 83

Deep Learning Machine Learning Forecasting Visualization 83

Smarten

APRIL 21, 2022

Implementing initiatives to democratize data and improve Data Literacy is a good way to disrupt the culture and transform business users into Citizen Data Scientists. Benefits to Business Users. Support for Day-to-Day Business Decisions. Reduce Daily Requests from Business Users.

Business Objectives 52

Business Objectives Data-driven Forecasting Optimization 52

FineReport

MARCH 24, 2024

Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue. Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

datapine

NOVEMBER 27, 2019

You simply choose the data source you want to analyze and the column/variable (for instance, revenue) that the algorithm should focus on. Then, calculations will be run and come back to you with growth/trends/forecast, value driver, key segments correlations, anomalies, and what-if analysis. 7) Augmented Analytics.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

NOVEMBER 26, 2023

Self-serve business intelligence provides an analytics approach that is accessible to business users. What is self-serve BI?

Business Intelligence 40

Business Intelligence Data-driven Reporting Advertising 40

Smart Data Collective

FEBRUARY 2, 2021

In general, Big Data can help businesses in all fields – it’s not something reserved for tech companies. However, some industries have more to benefit from Big Data than others and have reached impressive milestones because data science and data analytics have helped them streamline their operations.

Big Data 84

Big Data Recreation/Entertainment Cost-Benefit Finance 84

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. There are many types of data pipelines, and all of them include extract, transform, load (ETL) to some extent.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

datapine

MAY 16, 2019

Why Are Restaurant Analytics Important? Business analytics for restaurants is integral to understanding the inner workings of your business but and being aware of how you can improve it to foster a sustainable level of success that will set you apart from the competition. Forecasting trends.

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

Rita Sallam

JULY 22, 2016

Again, check out the Critical Capabilities for BI and Analytic Platforms for how each vendor compares. Research VP, Business Analytics and Data Science. The post Modernize Using The BI & Analytics Magic Quadrant appeared first on Rita Sallam. Enjoy your summer!! Thanks for reading and stay tuned.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40