Smarten

JANUARY 31, 2019

Many organizations have grown comfortable with their business intelligence solution, and find it difficult to justify the need for advanced analytics. How is Advanced Analytics Different from Business Intelligence?

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

CIO Business Intelligence

JUNE 7, 2022

In business analytics, this is the purview of business intelligence (BI). Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Smarten

JUNE 26, 2018

This article provides a brief explanation of the ARIMA method of analytical forecasting. What is ARIMA Forecasting? Autoregressive Integrated Moving Average (ARIMA) predicts future values of a time series using a linear combination of its past values and a series of errors. p: to apply autoregressive model on series.

Forecasting 40

Forecasting Enterprise IT Sales 40

Smarten

JUNE 29, 2018

This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. What is ARIMAX Forecasting? This method is suitable for forecasting when data is stationary/non stationary, and multivariate with any type of data pattern, i.e., level/trend /seasonality/cyclicity. About Smarten.

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

Smarten

JUNE 21, 2018

This article provides a brief explanation of the Holt-Winters Forecasting model and its application in the business environment. What is the Holt-Winters Forecasting Algorithm? The Holt-Winters algorithm is used for forecasting and It is a time-series forecasting method.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

Sisense

MARCH 24, 2020

One area they refused to cut, however, was their business intelligence program. BA claimed that a continued investment in analytics during the crisis was a critical factor to streamlining marketing activities and thwarting fraudulent bookings when their business was especially fragile. Create transparency, reduce overhead.

Analytics 94

Analytics Sales Forecasting Business Intelligence 94

CIO Business Intelligence

MARCH 22, 2022

Two groups of researchers are already using Nvidia’s Modulus AI framework for developing physics machine learning models and its Omniverse 3D virtual world simulation platform to forecast the weather with greater confidence and speed, and to optimize the design of wind farms.

Modeling 142

Modeling Machine Learning Forecasting Optimization 142

Smarten

DECEMBER 3, 2023

Perhaps your business is considering an augmented analytics solution, or your enterprise already has some version of business intelligence or analytics and it wishes to upgrade or transition to a more beneficial solution. What is Augmented Analytics and How Has it Evolved?

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

IBM Big Data Hub

SEPTEMBER 19, 2023

Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes. The types of data analytics Predictive analytics: Predictive analytics helps to identify trends, correlations and causation within one or more datasets.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Jet Global

MAY 9, 2024

Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data. For example, a pipeline might ingest customer data, clean and transform it, train a predictive model, and deploy the model for real-time predictions.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Smarten

JUNE 29, 2018

Business Problem: An ecommerce company wants to measure the impact of product price, product promotions, and holiday seasonality on product sales. The dependent variable is product sales data. For the predictors with the most impact, the team can make important strategic decisions to meet product sales targets.

Business Analysis 40

Business Analysis IT Sales Statistics 40

Smarten

JUNE 14, 2019

When NLP is incorporated into the business intelligence environment, business users can enter a question in human language. For example, ‘which sales team member achieved the best numbers last month?’ If you have clicked in the search window on Google and entered a question, you know NLP!

Cost-Benefit 40

Cost-Benefit IT Predictive Modeling Business Intelligence 40

Smarten

JULY 10, 2018

Use Case(s): Weather Forecasting, Fraud Analysis and more. Frequent Pattern Mining (Association): What is Frequent Pattern Mining (Association) and How Does it Support Business Analysis? Use Case(s): Predicting Loan Default, Predicting Success of Medical Treatment and more.

Analytics 40

Analytics Forecasting Statistics Sales 40

Smarten

JULY 19, 2017

To be successful in business, every organization must find a way to accurately forecast and predict the future of its market, and its internal operations, and better understand the buying behavior of its customers and prospects.

Business Intelligence 40

Business Intelligence Predictive Modeling Cost-Benefit Data-driven 40

Jet Global

MAY 1, 2023

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded Analytics Definition Embedded analytics are the integration of analytics content and capabilities within applications, such as business process applications (e.g., CRM, ERP, EHR/EMR) or portals (e.g.,

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52