DataKitchen

SEPTEMBER 21, 2023

Moreover, advanced metrics like Percentage Regional Sales Growth can provide nuanced insights into business performance. Data in Use pertains explicitly to how data is actively employed in business intelligence tools, predictive models, visualization platforms, and even during export or reverse ETL processes.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

CIO Business Intelligence

JUNE 7, 2022

For example, how might social media spending affect sales? Monte Carlo simulation: According to Investopedia , “Monte Carlo simulations are used to model the probability of different outcomes in a process that cannot easily be predicted due to the intervention of random variables.” Data analytics vs. business analytics.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Smart Data Collective

SEPTEMBER 17, 2020

Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. Financial and banking corporations are learning how to balance Big Data with their services to boost profits and sales. Big Data can efficiently enhance the ways firms utilize predictive models in the risk management discipline.

Big Data 145

Big Data Finance Risk Management Risk 145

Juice Analytics

MARCH 11, 2021

3) That’s where our data visualization and user experience capabilities helped them turn this data into a web-based analytical tool that focused users on the metrics and peer groups they cared about. There are many paths to consider: Visual representations that reveal patterns in the data and make it more human readable. Just kidding!

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

Smarten

SEPTEMBER 30, 2024

We are here to help and to support your business goals and success!

Predictive Modeling 67

Predictive Modeling Dashboards Sales Visualization 67

CIO Business Intelligence

JULY 17, 2023

Dickson, who joined the Wisconsin-based company in 2020, has launched PowerInsights, a homegrown digital platform that employs IoT and AI to deliver a geospatial visualization of Generac’s installed base of generators, as well as insights into sales opportunities.

IoT 98

IoT Manufacturing Digital Transformation Sales 98

DataKitchen

JANUARY 17, 2022

The business analysts creating analytics use the process hub to calculate metrics, segment/filter lists, perform predictive modeling, “what if” analysis and other experimentation. Visualizations updated per week increased from 50 to 1500. Requirements continually change. Data is not static.

Experimentation 130

Experimentation Data Lake Predictive Modeling Marketing 130

Smarten

JULY 1, 2024

Knowledgebase Articles Access Rights, Roles and Permissions : AD Integration in Smarten Datasets & Cubes : Cluster & Edit : Find out the frequency of repetition of dimension value combinations – e.g. frequency of combination of bread and butter from sales transactions Visualizations : Graphs: Plot the dynamic graph based on measure selected (..)

Predictive Modeling 52

Predictive Modeling Measurement Sales Visualization 52

Smarten

AUGUST 6, 2024

When they are given access to data analytics, they can merge their knowledge of an industry, e.g., research, healthcare, law, finance, sales, supply chain, production, construction etc., and other tools like Embedded BI , Mobile BI , Key Influencer Analytics , Sentiment Analysis , and Anomaly Alerts and Monitoring.

Predictive Modeling 62

Predictive Modeling Key Performance Indicator Data-driven Finance 62

Sisense

JANUARY 26, 2020

Raw materials need to be ordered, received, constructed, packaged, and shipped out for sale in the most efficient manner possible. Because the steps are repeated so many times through the process, a small edge created via predictive analytics in manufacturing will be magnified at every repetition to produce significant benefit.

Predictive Analytics 78

Predictive Analytics Manufacturing Analytics Forecasting 78

CIO Business Intelligence

MAY 10, 2022

They tend to be more “pure-play” platforms geared for gathering and organizing first-party data, so frequently need to be used with additional data visualization platforms. Treasure Data CDP is a data science CDP built for predictive modeling and advanced analytics. Treasure Data CDP. Customer data platform vs. DMP.

Advertising 122

Advertising Interactive Marketing Structured Data 122

Smarten

NOVEMBER 22, 2019

They simply have to be confident in the use of Augmented Analytics Tools and solutions that allow them to gather and analyze data for forecasting and planning, problem solving and understanding trends and patterns and changes in customer buying behavior, sales results etc.

Predictive Modeling 67

Predictive Modeling Data-driven Forecasting Visualization 67

DataKitchen

JUNE 19, 2023

This action involves testing the results of data models for accuracy and relevance, evaluating the effectiveness of data visualizations, ensuring that data delivery mechanisms are operating optimally, and checking the data utilization to ensure it meets its intended purpose. The value here is improved end-user experienc e.

Testing 100

Testing Data Quality Metrics Cost-Benefit 100

Domino Data Lab

SEPTEMBER 18, 2019

Models are at the heart of data science. Data exploration is vital to model development and is particularly important at the start of any data science project. Interactive Data Visualization in Python. There are a couple of commonly used interactive data visualization libraries in Python: Plotly and Bokeh. Introduction.

Visualization 99

Visualization Interactive Machine Learning Data Science 99

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

AWS Big Data

JANUARY 25, 2023

An Amazon Personalize job predicts for each line of input data (restaurants and restaurant articles) and produces ML-generated recommendations in the designated S3 output folder. The recommendation records are surfaced using interaction data, product data, and predictive models. This workflow is triggered based on a schedule.

Visualization 98

Visualization Interactive Modeling Machine Learning 98

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

AWS Big Data

AUGUST 21, 2024

Solution overview The AI-powered scaling and optimization feature in Redshift Serverless provides a user-friendly visual slider to set your desired balance between price and performance. This post also includes example SQLs, which you can run on your own Redshift Serverless data warehouse to experience the benefits of this feature.

Optimization 109

Optimization Data Lake Data Warehouse Cost-Benefit 109

CIO Business Intelligence

OCTOBER 12, 2023

We made that visually appealing to people. We made that visually appealing to people. This is a tool that not only our internal sales and marketing teams use to drive more business to Generac, but it’s also now in the hands of our dealers, our customers, to leverage them to sell more of our stuff as well.

IoT 126

IoT Manufacturing Strategy Modeling 126

Smarten

JANUARY 31, 2019

Put simply, business Intelligence uses historical data to reveal where the business has been, and managers can use this data to predict competitive response and discover what is changing in customer buying behavior and in sales.

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

Sisense

SEPTEMBER 25, 2020

No matter your skill, career level, or title, the ability to analyze, organize, and visualize data are vital skills in our world of quickly growing and ever-changing data. Linear regression is a form of supervised learning (or predictive modeling). The aim is to create a robust model that avoids both high variance and high bias.

Statistics 98

Statistics Predictive Modeling Modeling Machine Learning 98

Darkhorse

JULY 6, 2017

Let’s further pretend you’re starting out with the aim of doing a big predictive modeling thing using machine learning. Proceed visually. Are the relationships as you would expect (taller people weigh more, higher prices means fewer sales, calls increase as population grows, etc.)? I hope you enjoy that sort of thing.

Data Lake 74

Data Lake Sales Machine Learning Visualization 74

DataRobot

SEPTEMBER 17, 2021

So they create business or “decision rules” that act on the output of their predictive models to add business best practices and standardize decision-making across the organization. In our grocery example, a simple decision rule might be that you always carry 10% more than the forecasted sales.

Forecasting 52

Forecasting Predictive Modeling Machine Learning Cost-Benefit 52

FineReport

APRIL 21, 2024

Additionally, there is a growing demand for advanced analytics and data visualization tools to make data-driven decisions. Key Features of SaaS BI Tools When it comes to SaaS BI tools , one of the key features that sets them apart is their ability to provide real-time data access and visualization.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

Smarten

APRIL 2, 2019

Smart Data Visualization allows users to view and analyze data to identify a problem and clarify a root cause and to interact easily with data discovery tools and analytics software to build a view that will tell a story using guided visualization and recommended data presentation so there is no need for assistance or delays.

Analytics 40

Analytics Predictive Modeling Visualization Predictive Analytics 40

FineReport

APRIL 9, 2024

From advanced analytics to predictive modeling, the evolving landscape of business intelligence is revolutionizing how data is processed and leveraged for actionable insights. In addition to these advancements, another prominent trend in data analysis is the growing impact of data visualization.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Smarten

JANUARY 24, 2019

Business users can leverage machine learning and assisted predictive modeling to achieve the best fit and ensure that they use the most appropriate algorithm for the data they wish to analyze. This seamless, intuitive process enables business users to quickly and easily select and analyze data without guesswork or advanced skills.

Machine Learning 40

Machine Learning Predictive Modeling Predictive Analytics Forecasting 40

CIO Business Intelligence

AUGUST 15, 2023

Mugunth Vaithylingam, CIO, College of Southern Nevada College of Southern Nevada Teams overseen by CSN CIO Mugunth Vaithylingam combined custom AI visuals, voice, and content to create this first-of-its-kind custom avatar, which is deployed and rendered from a web browser using client-side CPUs.

IT 98

IT Manufacturing IoT Cost-Benefit 98

Smarten

JUNE 14, 2019

For example, ‘which sales team member achieved the best numbers last month?’ NLP presents results through Smart Visualization and contextual information delivered in natural language. ’ or ‘which of our products sells best in New York?’

Cost-Benefit 40

Cost-Benefit IT Predictive Modeling Business Intelligence 40

Smarten

JUNE 29, 2018

Business Problem: An eCommerce company wants to measure the impact of product price on product sales. The dependent variable is product sales data for last year. Business Benefit: The product sales manager can identify the amount and direction of product price impact on product sales. Use Case – 2.

Enterprise 40

Enterprise Sales Statistics Business Intelligence 40

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. Business Benefit: A product sales manager can discover which predictors included in the analysis will have significant impact on product sales.

Business Analysis 40

Business Analysis IT Sales Statistics 40

Jet Global

APRIL 27, 2020

These new retail competitors understand the value of harnessing consumer insights and data to drive retail sales forecasting. Ultimately, retail financial planning solutions need to support the CFO in maximizing resources, leveraging sales opportunities and responding to consumer needs.

Finance 52

Finance Forecasting Sales Reporting 52

Occam's Razor

JANUARY 7, 2019

Take a class in data visualization. Anyone can make a complicated visual, it takes someone very special (you!) My recommendations: Free Courses: Data Visualization and D3.js js and Data Analysis and Visualization at Udacity. Occam’s Razor : Start with this one: Closing Data's Last-Mile Gap: Visualizing For Impact.

Marketing Analytics 89

Marketing Analytics Marketing Analytics Strategy 89

Smarten

JUNE 26, 2018

Business Problem: A pharmaceutical company wants to predict the sales of a drug for the next two months, based on drug sales data from the past 12 months. Business Benefit: The business can make use of these forecasts for better planning of drug production and accuracy of sales targets. About Smarten.

Forecasting 40

Forecasting Enterprise IT Sales 40

Smarten

JUNE 21, 2018

Business Problem : Insurance claim manager wants to forecast policy sales for next month based on past 12 months data. Business Benefit : If projected claims are lower than expected then proper marketing strategy can be devised to improve sales. Data Pattern : Input data exhibits level and strong upward trend but no seasonality.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

Smarten

JUNE 25, 2018

Business Problem: Discount Analysis and Customer Retention will help the organization to target discounts to specific customers and the business will need to visualize ‘segments of sales group based on discount behavior’ and ‘customer churn to identify segments of customers on the verge of leaving’.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

Smarten

JUNE 29, 2018

For example, sale of ice cream and the sale of cold drinks are related to weather conditions. Like other forms of correlation analysis, the Karl Pearson method measure the strength of relationships between only two variables, without taking into consideration the fact that both these variables may be influenced by a third variable.

Enterprise 40

Enterprise Statistics IT Business Intelligence 40