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. 2) Double Exponential Smoothing Use Case.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

datapine

MARCH 25, 2022

While some experts try to underline that BA focuses, also, on predictive modeling and advanced statistics to evaluate what will happen in the future, BI is more focused on the present moment of data, making the decision based on current insights. But let’s see in more detail what experts say and how can we connect and differentiate the both.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Rocket-Powered Data Science

MARCH 19, 2021

This article quotes an older market projection (from 2019) , which estimated “the global industrial IoT market could reach $14.2 Another dimension to this story, of course, is the Future of Work discussion, including creation of new job titles and roles, and the demise of older job titles and roles. trillion by 2030.”.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

Smart Data Collective

JUNE 4, 2021

Data science needs knowledge from a variety of fields including statistics, mathematics, programming, and transforming data. Mathematics, statistics, and programming are pillars of data science. In data science, use linear algebra for understanding the statistical graphs. It is the building block of statistics.

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

Smarten

MAY 31, 2022

When combined with Citizen Data Scientist initiatives, the adoption and use of predictive modeling and forecasting techniques can be a boon to any enterprise. Forecasting. Descriptive Statistics. It is meant to identify crucial relationships and opportunities and risks and help the organization to accurately predict: Growth.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

O'Reilly on Data

JUNE 16, 2020

We know, statistically, that doubling down on an 11 is a good (and common) strategy in blackjack. Even if we believed the forecasts that gave Trump a 10% chance of winning, this is just slightly less likely than seeing three heads in three coin tosses (12.5%), which also would not surprise many people. Mike: But I lost!

Uncertainty 273

Uncertainty Testing Risk Reporting 273

Smarten

DECEMBER 5, 2022

In this article, we provide a list with links that will detail some of the many analytical techniques your business users will employ and provide examples of how these techniques can be used to solve problems and identify opportunities with clear, easy techniques and results. ARIMAX Forecasting. ARIMA Forecasting. Naïve Bayes.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Testing 52

FineReport

MARCH 24, 2024

This article explores the data analyst job description, covering essential skills, tools, education, certifications, and experience. Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making. SAS automates statistical data analysis tasks and offers enhanced security features.

Statistics 52

Statistics Data mining Visualization Reporting 52

IBM Big Data Hub

AUGUST 7, 2023

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. AI can also empower trial managers and executives with the data to make strategic decisions.

Optimization 57

Optimization Forecasting Data-driven Strategy 57

Smart Data Collective

AUGUST 28, 2020

MindSync AI discussed the pivotal role of AI in time management in a Medium article. If this is inaccurate, all statistics based on it are redundant and serve no purpose. This helps with productivity, as we stated in this previous article. The organization can then take necessary steps if the statistics are not satisfying.

Statistics 79

Statistics Software Reporting Cost-Benefit 79

Smart Data Collective

OCTOBER 7, 2023

The daily articles we are seeing about the changes brought on by ChatGPT are clear evidence of the changes it has created. A number of articles have been written about the profound impact that CyberLink has had on the people tracing software industry, as a result of using AI technology.

Technology 93

Technology Snapshot Data-driven Machine Learning 93

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve.

Machine Learning 56

Machine Learning Data Science Statistics Deep Learning 56

datapine

NOVEMBER 27, 2019

We detailed the benefits and costs of good or bad quality data in our previous article on data quality management , where you can read the five important pillars to follow. Then, calculations will be run and come back to you with growth/trends/forecast, value driver, key segments correlations, anomalies, and what-if analysis.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

APRIL 28, 2023

In fact, today’s productivity statistics have decreased in nearly all segments of the economy and improved productivity can provide a competitive edge and allow your business to function with fewer resources.

Slice and Dice 52

Slice and Dice Business Intelligence ROI Statistics 52

Smart Data Collective

NOVEMBER 14, 2019

They have refined their data decision-making approaches to include new predictive analytics models to forecast trends and adapt to evolving customer behavior. As Andrew Pearson wrote in his article “ Predictive Analytics in the Gaming Industry ,” the gaming industry has used some form of predictive analytics for decades.

Predictive Analytics 79

Predictive Analytics Analytics Forecasting Modeling 79

Smart Data Collective

JUNE 15, 2022

In this article, we will talk about nine ways location data can help you excel in retail. Forecast customer behavior. Statistics such as average time on page, bounce rate, conversion rate, and others may be used to perfect your website and make changes to make it more appealing to visitors. That’s all for this article.

Advertising 97

Advertising Cost-Benefit ROI Sales 97

Smart Data Collective

NOVEMBER 26, 2021

Data analytics refers to the systematic computational analysis of statistics or data. In this article, you’ll learn the different ways data analytics sets a new standard for revenue marketing. Data analytics helps with budget planning, forecasting, and unified attribution to improve the overall client experience.

Marketing 110

Marketing Data Analytics Key Performance Indicator Analytics 110

Smart Data Collective

NOVEMBER 24, 2020

In this article, you’ll discover: upcoming trends in business intelligence what benefits will BI provide for businesses in 2020 and on? In the future of business intelligence, it will also be more common to break data-based forecasts into actionable steps to achieve the best strategy of business development. Prescriptive Analytics.

Business Intelligence 130

Business Intelligence Visualization Dashboards Prescriptive Analytics 130

Smart Data Collective

SEPTEMBER 19, 2022

Statistics show that 93% of customers will offer repeat business when they encounter a positive customer experience. This article focuses on big data in financial industry, its role, and how it helps fintech companies protect their customers and improve the customer experience. Forecasting Future Market Trends.

Big Data 129

Big Data ROI Measurement Risk 129

Smarten

JULY 10, 2018

This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools. Use Case(s): Weather Forecasting, Fraud Analysis and more.

Analytics 40

Analytics Forecasting Statistics Sales 40

Smart Data Collective

OCTOBER 16, 2022

As a matter of fact, worldwide spending on public cloud services is forecasted to reach around $494.7 This article guides you through your journey of choosing the exemplary cloud architecture for your business. Make an informed decision based on various cloud architect solutions, market research, and data statistics.

Consulting 108

Consulting Software Statistics Manufacturing 108

Smarten

DECEMBER 3, 2023

This article will help you gather information about the topic of augmented analytics. Solution capabilities included self-serve data preparation , smart data visualization and predictive analytics for forecasting, etc. Maybe you just want to understand the analytics solution market better.

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

Smart Data Collective

MARCH 11, 2022

This article will go over the concept of customer service analytics and some of the uses and advantages it could provide to a business. Predictive analytics, which analyses historical activities to uncover trends and forecast a specific event, can also predict if a customer is ready to churn or defect. Finding New Revenue Sources.

Customer Analytics 116

Customer Analytics Analytics Key Performance Indicator Big Data 116

DataRobot Blog

JULY 28, 2022

This article presents a case study of how DataRobot was able to achieve high accuracy and low cost by actually using techniques learned through Data Science Competitions in the process of solving a DataRobot customer’s problem. The R-square, which was less than 0.5 using the conventional method, improved to more than 0.85

Data Science 72

Data Science Machine Learning Statistics Modeling 72

IBM Big Data Hub

FEBRUARY 13, 2024

Generative AI uses advanced machine learning algorithms and techniques to analyze patterns and build statistical models. Each output is unique yet statistically tethered to the data the model learned from. The result will be unusable if a user prompts the model to write a factual news article.

Enterprise 122

Enterprise Modeling Testing Data-driven 122

Analytics Vidhya

APRIL 26, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Hello readers! In our routine life, we come. The post How to check Stationarity of Data in Python appeared first on Analytics Vidhya.

Data Science 208

Data Science Publishing Analytics Forecasting 208

Smart Data Collective

OCTOBER 8, 2021

This article looks at how genetic algorithms (GA) and machine learning (ML) can help hedge fund organizations. However, they do not call for price forecasts or predictions, making them easy to implement. For instance, you want to generate effective AUM, NAV, and share value reports to improve investor confidence as a manager.

Machine Learning 113

Machine Learning Testing Strategy Modeling 113

Smarten

JUNE 20, 2018

In this article, we will focus on the identification and exploration of data patterns and the trends that data reveals. The business can use this information for forecasting and planning, and to test theories and strategies. In this article, we have reviewed and explained the types of trend and pattern analysis.

Forecasting 40

Forecasting Statistics Business Intelligence Predictive Modeling 40

bridgei2i

MARCH 8, 2019

I recently read an article about Softbank’s Masayoshi Son and his vision “ for an AI-powered utopia where machines control how we live ”. This differs from identifying key drivers through statistical modeling or decision-tree based methods that it hinges upon drawing relationships in data even in non-ideal situations.

Sales 65

Sales Statistics Business Objectives Forecasting 65

Analytics Vidhya

JUNE 11, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Cutting straight right to the chase, Hurst exponent is a. The post Using Hurst Exponent to analyse the Stock and Crypto market with Python appeared first on Analytics Vidhya.

Marketing 180

Marketing Data Science Publishing Analytics 180

O'Reilly on Data

JULY 28, 2020

In this article, we turn our attention to the process itself: how do you bring a product to market? The development phases for an AI project map nearly 1:1 to the AI Product Pipeline we described in the second article of this series. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle.

Marketing 361

Marketing Experimentation Metrics Testing 361

Smarten

NOVEMBER 26, 2023

In this article, we will discuss the benefits of implementing BI tools within your organization. Put simply, data democratization enables every team member in a business to work with and understand data without technical or statistical training or knowledge. What is data democratization?

Business Intelligence 40

Business Intelligence Data-driven Reporting Advertising 40

FineReport

DECEMBER 9, 2021

Data Scientist: A person who uses analytics, statistical tools, and machine learning to extract actionable value from big data. The chosen example in this article is the wonderful application of FineReport. The accuracy of the store customer flow forecast has now reached 95%. Free Download.

Strategy 98

Strategy Business Intelligence KPI Key Performance Indicator 98

Smart Data Collective

AUGUST 21, 2019

Millman has introduced some articles on the benefits of big data in the retirement industry. Wade Matterson wrote an article on LinkedIn on the value of big data for solving the retirement riddle. As per the Bureau of Labor Statistics (BSL), in America 2 out of 5 households depends on their pension as a major source of income.

Big Data 77

Big Data Cost-Benefit Insurance Data-driven 77

Jet Global

AUGUST 4, 2023

In this article, we will focus on common technical skills/tools that can improve your confidence and capability to work with data. With Power ON you get the power of real-time, collaborative data-collection, forecasting, commenting, and what-if scenario modeling all within Power BI.

Data Analytics 52

Data Analytics Analytics Finance Visualization 52

FineReport

JUNE 26, 2023

In this article, we will explore what a performance report entails, emphasize the significance of such reports, delve into different types of performance reports, provide a performance report template, and outline the steps to create an effective performance report. One invaluable tool for gaining these insights is the performance report.

Reporting 52

Reporting Key Performance Indicator Sales Visualization 52

O'Reilly on Data

NOVEMBER 28, 2023

AI is the next generation of what we called “data science” a few years back, and data science represented a merger between statistical modeling and software development. The field may have evolved from traditional statistical analysis to artificial intelligence, but its overall shape hasn’t changed much.

Enterprise 267

Enterprise Modeling Testing Reporting 267