datapine

AUGUST 14, 2019

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. There are a number of tools available on the market, and knowing which one to choose to increase performance can be time-consuming, and often confusing. Source: RStudio.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smarten

JULY 26, 2022

Smarten CEO, Kartik Patel says, “The availability of Smarten augmented analytics on a mobile device encourages user adoption and provides support for business intelligence investments and data democratization.” Installation is easy. About Smarten. Original Post : Smarten Augmented Analytics Now Available on Mobile App!

Key Performance Indicator 74

Key Performance Indicator Analytics Business Intelligence Dashboards 74

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 120

Predictive Analytics Analytics Predictive Modeling Data mining 120

Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Market Changes. Descriptive Statistics. Access to Flexible, Intuitive Predictive Modeling.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

datapine

MARCH 25, 2022

1) What Is Business Intelligence And Analytics? 4) How Do BI And BA Apply To Business? If someone puts you on the spot, could you tell him/her what the difference between business intelligence and analytics is? We already saw earlier this year the benefits of Business Intelligence and Business Analytics.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Smarten

JUNE 17, 2022

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. About Smarten.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

Smarten

APRIL 19, 2022

Sentiment Analysis can help you solve problems,” says Patel, ‘And it can identify opportunities and improve your brand image and competitive stance in the market.’. Smarten Sentiment Analysis provides a powerful Artificial Intelligence (AI) technique to analyze customer feedback, and understand attitudes about products, events, trends, etc.

Slice and Dice 57

Slice and Dice Business Intelligence Advertising Predictive Modeling 57

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 82

Data Science Data Analytics Prescriptive Analytics Analytics 82

Smarten

JUNE 25, 2018

This article provides a brief explanation of the definition and uses of the Descriptive Statistics algorithms. What is a Descriptive Statistics? Descriptive statistics helps users to describe and understand the features of a specific dataset, by providing short summaries and a graphic depiction of the measured data.

Statistics 40

Statistics Enterprise Measurement Business Intelligence 40

Smarten

MARCH 13, 2024

AUGMENTED ANALYTICS SOLUTIONS When selecting an augmented analytics solution, your enterprise must choose tools that are designed specifically for business users with average technology and analytical skills. Role – Analyze and refine data for 100% accuracy and strategic use, act as expert, statistical expert.

Analytics 52

Analytics Predictive Modeling Strategy Enterprise 52

Smarten

NOVEMBER 8, 2022

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. About Smarten.

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 52

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. Maybe you just want to understand the analytics solution market better.

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

CIO Business Intelligence

JULY 26, 2023

The Denver-based realty chain has also developed a homegrown Salesforce-based business intelligence app running off Tableau to power its global network of roughly 145,000 brokers and agents, Ligon says. Finally, the IT team developed a digital market center that offers event management as well as training and education content.

Data Lake 95

Data Lake Digital Transformation Machine Learning Data Architecture 95

Domino Data Lab

JANUARY 21, 2021

Predictive modeling efforts rely on dataset profiles , whether consisting of summary statistics or descriptive charts. Results become the basis for understanding the solution space (or, ‘the realm of the possible’) for a given modeling task. Each dataset has properties that warrant producing specific statistics or charts.

Statistics 106

Statistics Unstructured Data Data Science Predictive Modeling 106

DataRobot

JANUARY 13, 2022

Data scientists typically come equipped with skills in three key areas: mathematics and statistics, data science methods, and domain expertise. Even if a data scientist has worked with a particular type of customer data before, their domain expertise doesn’t always translate into actionable insights for the business.

ROI 52

ROI Machine Learning Experimentation Data Science 52

BI-Survey

NOVEMBER 24, 2020

In particular, the integration of strategic planning and company-wide operational planning, as well as its integration with analytics and business intelligence (BI), are becoming increasingly important to making comprehensive and well-founded decisions based on data. The study is based on a worldwide online survey of 424 companies.

Forecasting 94

Forecasting Predictive Modeling Statistics Data-driven 94

Smarten

JUNE 29, 2018

The independent sample t-test is a statistical method of hypothesis testing that determines whether there is a statistically significant difference between the means of two independent samples. Marketing – Does customer segment A spend more on groceries than customer segment B? About Smarten.

Testing 40

Testing Statistics IT Business Intelligence 40

CIO Business Intelligence

APRIL 25, 2022

The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills. On-site courses are available in Munich. Remote courses are also available. Switchup rating: 5.0 (out Data Science Dojo.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Smarten

JUNE 26, 2018

It is used to determine whether there is a statistically significant association between the two categorical variables. This technique is used to determine if the relationship exists between any two business parameters that are of categorical data type. How Can the Chi Square Test of Association Be Used for Business Analysis?

Testing 40

Testing Statistics IT Business Intelligence 40

CIO Business Intelligence

OCTOBER 13, 2023

Responsibilities include building predictive modeling solutions that address both client and business needs, implementing analytical models alongside other relevant teams, and helping the organization make the transition from traditional software to AI infused software.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Smarten

JUNE 21, 2018

Time series forecasting methods are used to extract and analyze data and statistics and characterize results to more accurately predict the future based on historical data. Business Benefit : If projected claims are lower than expected then proper marketing strategy can be devised to improve sales.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

Smarten

JUNE 29, 2018

Multiple Linear Regression is a statistical technique that is designed to explore the relationship between two or more variables (X, and Y). For instance, if promotions and holiday seasons are significant factors, these factors should be given more focus when devising a marketing strategy. What is Multiple Linear Regression Analysis?

Business Analysis 40

Business Analysis IT Sales Statistics 40

Smarten

JUNE 28, 2018

This type of analysis can be applied to segment customers by purchase history, segment users by the types of activities they perform on websites or applications, to develop consumer profiles based on activities or interests, and to recognize market segments, etc. How Does and Organization Use Hierarchical Clustering to Analyze Data?

IT 40

IT Business Intelligence Predictive Modeling Risk 40

Birst BI

OCTOBER 30, 2018

This data retrieval and summarization capability gave rise to what we now know as the business intelligence industry. Today, the most common usage of business intelligence is for the production of descriptive analytics. . The foundation of predictive analytics is based on probabilities. Accounts in use.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Smarten

JUNE 26, 2018

Frequent pattern mining (previously known as Association) is an analytical algorithm that is used by businesses and, is accessible in some self-serve business intelligence solutions. Cross marketing/Selling – To work with other businesses that complement your business, but not your competitors.

Business Intelligence 40

Business Intelligence Sales Predictive Modeling Statistics 40

Smarten

JUNE 29, 2018

At 95% confidence level (5% chance of error): As p-value = 0.041 which is less than 0.05, there is a statistically significant difference between means of pre and post sample values. How is the Paired Sample T Test Beneficial to Business Analysis? Marketing – Have sales increased following a particular campaign?

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

Smarten

JUNE 29, 2018

Correlation is a statistical measure that indicates the extent to which two variables fluctuate together A positive correlation indicates the extent to which those variables increase or decrease in parallel. This article describes the Spearman’s Rank Correlation and how it is used for enterprise analysis. Use Case – 2.

Business Analysis 40

Business Analysis IT Measurement Statistics 40

Smarten

JUNE 20, 2018

In prediction, the objective is to “model” all the components to some trend patterns to the point that the only component that remains unexplained is the random component. A stationary time series is one with statistical properties such as mean, where variances are all constant over time. Stationary/Stationarity. About Smarten.

Forecasting 40

Forecasting Statistics Business Intelligence Predictive Modeling 40

Smarten

JUNE 25, 2018

KMeans Clustering can be applied to segment customers by purchasing history, segment users by the activities they perform on a website, define demographic profiles based on interests, and recognize market patterns. Business Problem: Organizing customers into groups/segments based on similar traits, product preferences and expectations.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

Smarten

JUNE 27, 2018

Similarly, regression trees can also be used to identify the market segment, identifying who is more likely to respond to a future mailing. The Decision Tree analysis technique is useful in classifying and segmenting markets, types of customers and other categories in order to make decisions on where to focus enterprise resources.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 29, 2018

Cross Marketing and Selling – To work with other businesses that complement your own, not competitors. For example, vehicle dealerships and manufacturers have cross marketing campaigns with oil and gas companies for obvious reasons. Use Case – 1. Use Case – 2.

Business Analysis 40

Business Analysis IT Business Intelligence Sales 40

Smarten

JULY 3, 2017

When an enterprise selects a self-serve business intelligence solution with Advanced Data Discovery , Smart Data Visualization , Plug n’ Play Predictive Analysis and Self-Serve Data Preparation , it can create an environment where business users are empowered and become greater assets to the organization.

Predictive Modeling 40

Predictive Modeling Visualization Business Intelligence Experimentation 40

Smarten

JULY 10, 2018

Frequent Pattern Mining (Association): What is Frequent Pattern Mining (Association) and How Does it Support Business Analysis? Use Case(s): Market Basket Analysis, Frequently Bundled Products and more. Use Case(s): Predicting Loan Default, Predicting Success of Medical Treatment and more.

Analytics 40

Analytics Forecasting Statistics Sales 40

Smarten

NOVEMBER 19, 2018

Predictive analytics employs various analytical and modeling techniques, leveraging historical data and business results to identify crucial relationships, opportunities and risks so that business managers can more accurately predict growth, and competitive and market changes and identify trends and patterns.

Business Objectives 40

Business Objectives Predictive Analytics Analytics Forecasting 40

Cloudera

NOVEMBER 2, 2020

real-time customer event data alongside CRM data; network sensor data alongside marketing campaign management data). The factors driving this trend are part technical, part business, and part cultural. Correlations across data domains, even if they are not traditionally stored together (e.g. General Purpose RTDW.

Data Warehouse 91

Data Warehouse Optimization Dashboards Interactive 91

datapine

NOVEMBER 27, 2019

Over the past decade, business intelligence has been revolutionized. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. 2019 was a particularly major year for the business intelligence industry. Source: Business Application Research Center *.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

DECEMBER 4, 2019

Business intelligence has undergone many changes in the last decade. Each year, we hear about buzzwords that enter the community, language, market and drive businesses and companies forward. That’s why we have prepared a list of the most prominent business intelligence buzzwords that will dominate in 2020.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212