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. They have developed analytics models to address looming changes in the dynamic industry. Time series models that attempt to forecast future variable behavior.

Predictive Analytics 79

Predictive Analytics Analytics Forecasting Modeling 79

Smart Data Collective

OCTOBER 6, 2023

In this article, we will explore the significance of managing seasonal fluctuations and the strategies businesses can implement. There are a number of huge benefits of using data analytics to identify seasonal trends. This underscores the importance of investing in predictive analytics technology to forecast sales.

Management 115

Management Analytics Predictive Analytics Cost-Benefit 115

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 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. d: to apply differencing on series.

Forecasting 40

Forecasting Enterprise IT Sales 40

Smart Data Collective

MARCH 2, 2023

As a result, they will need to invest in data analytics tools to sustain a competitive edge in the face of growing economic uncertainty. Kaneshwari Patil wrote an article for Nasscom Insights about the reasons companies should invest in big data during the recession. This helps companies adapt to meet their changing expectations.

Big Data 81

Big Data Uncertainty Risk Data mining 81

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

Jedox

FEBRUARY 13, 2020

For controlling, this means using predictive analytics to produce more forward-looking analyses and increasingly decision-relevant forecasts instead of focusing on past tense reports. Data management and data integration as the basis for advanced analytics. Automated sales forecast at Mitsui.

Forecasting 58

Forecasting Predictive Analytics Sales Data Integration 58

datapine

MAY 2, 2023

In this article, we’re going to examine examples and benefits of big data in logistics industry to fuel your imagination and get you thinking outside of the box. Your Chance: Want to test a professional logistics analytics software? Where is all of that data going to come from?

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

Smarten

JUNE 8, 2022

In this article, we provide some examples of what a Citizen Data Scientist can do to advance the goals and interests of the organization and optimize their productivity and performance. What follows is a short list of sample use cases that leverage predictive analytics.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

Smart Data Collective

JULY 9, 2023

This article is going to provide some great insights on developing strategies for unlocking additional value from an online business, which can do a lot to boost revenue and catapult the enterprise to new heights. Implement recommendation engines or utilize third-party solutions to leverage machine learning for customized product suggestions.

Optimization 73

Optimization Data Analytics Analytics Data-driven 73

Smart Data Collective

JULY 31, 2022

Predictive analytics technology has become essential for traders looking to find the best investing opportunities. Predictive analytics tools can be particularly valuable during periods of economic uncertainty. Predictive Analytics Helps Traders Deal with Market Uncertainty. Analytics Vidhya, Neptune.AI

Predictive Analytics 134

Predictive Analytics Analytics Uncertainty Forecasting 134

Smart Data Collective

SEPTEMBER 13, 2021

In this article, we will show you the use of the tools and the top reasons to hire Django developers to help you with big data integration. This type of big data is used to forecast and for making the right decisions. Investors cannot use it for long-term forecasting and strategizing. Main Types of Big Data. Broad and Slow.

Big Data 107

Big Data Forecasting Cost-Benefit Machine Learning 107

datapine

MARCH 31, 2022

S/He is responsible for providing cost-effective solutions to achieve business objectives, comparing operational progress against project development while assisting in planning budgets, forecasts, timelines, and developing reports on performance metrics. They can help a company forecast demand, or anticipate fraud.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Smart Data Collective

JANUARY 26, 2022

Law firms are expected to spend over $9 billion on legal analytics technology by 2028. But what is legal analytics? Last year, we published an article on the ways that big law and big data are intersecting. We have had time to observe some major developments of legal analytics over the last year. What is Legal Analytics?

Data Analytics 72

Data Analytics Analytics Predictive Analytics Insurance 72

Jedox

JUNE 25, 2020

Forecasts are unreliable and quickly become outdated due to rapid changes and complexity of markets. For this, modern planning software together with artificial intelligence-based (AI-based) predictive analytics can provide important support by evaluating historical data to derive forecasts for further development.

Technology 94

Technology Finance Cost-Benefit Forecasting 94

Smart Data Collective

JANUARY 19, 2022

billion on marketing analytics by 2026. A growing number of companies are using data analytics to better understand the mindset of their customers, provide better customer service , forecast industry trends and identify the ROI of various marketing strategies. Set a clear product mission with predictive analytics.

Consulting 96

Consulting Data-driven Marketing Strategy 96

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. However, we have observed that greater value comes from employing ensemble methods to achieve more accurate and robust predictions.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

CIO Business Intelligence

MAY 8, 2024

This article focuses on how these advancements are paving the way for data integration for the years to come in this ever-so-dynamic technological era. AI-powered data integration tools leverage advanced algorithms and predictive analytics to automate and streamline the data integration process. billion by 2025.

Data Integration 78

Data Integration IoT Cost-Benefit Data Quality 78

Smart Data Collective

APRIL 20, 2019

We previously published an article on the state of direct mail marketing. Using predictive analytics to continually update business cards. Predictive analytics is one of the most useful advances in big data. It allows organizations to monitor historic data to forecast future trends.

Big Data 81

Big Data Marketing Predictive Analytics IoT 81

Smart Data Collective

JANUARY 21, 2021

A growing number of solar energy companies are using new advances in data analytics and machine learning to increase the value of their products. A little over a year ago, Entrepreneur.com published an article on this topic titled Big Data and Solar Energy Are a Match Made in Heaven. “This is where big data comes in.

Big Data 131

Big Data Cost-Benefit Data-driven Machine Learning 131

Smart Data Collective

OCTOBER 20, 2020

Christian Welborn recently published an article on taking a data-driven approach to GTM. There are a number of reasons that data analytics is transforming the direction of GTM marketing in 2021. The Right Data Analytics Tools Must Be Leveraged for GTM Strategies. Big data should be leveraged to execute any GTM campaign.

Marketing 107

Marketing Data Analytics Analytics Big Data 107

IBM Big Data Hub

MAY 17, 2024

They can provide valuable insights and forecasts to inform organizational decision-making in omnichannel commerce, enabling businesses to make more informed and data-driven decisions. These tools might dictate the priority of deliveries, predict order routing, or dispatch deliveries to comply with sustainability requirements. 

B2B 65

B2B Interactive Optimization Forecasting 65

Smart Data Collective

JULY 9, 2021

Data analytics helps companies match the right employees or applicants with the right responsibilities. There are a lot of challenges that employees face when they try to forecast future staffing needs. We will start with an overview of the two options and then discuss the importance of using data analytics with it.

Data Analytics 127

Data Analytics Management Analytics Big Data 127

Smart Data Collective

JULY 1, 2019

The Guardian highlighted some of these issues in this article. The biggest problem is when big data is used for profiling and developing crime forecasting tools with predictive analytics. This means that predictive analytics algorithms that use historical data will likely look for the wrong potential offenders.

Big Data 79

Big Data Cost-Benefit Predictive Analytics Machine Learning 79

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. A growing body of research shows that big data can be invaluable for people planning for retirement.

Big Data 77

Big Data Cost-Benefit Insurance Data-driven 77

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

FineReport

APRIL 26, 2023

In this article, we will explore the importance of Big Data, why enterprises need Big Data tools, how to choose the right Big Data analytics tools and provide a list of the top 10 Big Data analytics tools available today. .” How to Choose the Right Big Data Analytics Tools? Enables Predictive Analytics on data.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Smart Data Collective

APRIL 7, 2022

These benefits include the following: You can use data analytics to better understand the preferences of your users and provide personalized product recommendations. Predictive analytics tools use market data to forecast trends and ensure e-commerce companies sell products that will be in demand.

B2B 106

B2B Sales Big Data Cost-Benefit 106

Jedox

FEBRUARY 20, 2020

In our previous blog post “ Proven AI solutions for modern planning “, we shared detailed insights from Dr. Rolf Gegenmantel, our Chief Marketing & Product Officer, into data management and data integration as a basis for advanced analytics and automated sales forecasts at Mitsui Chemicals Europe.

Data Integration 52

Data Integration Finance Business Driver Forecasting 52

IBM Big Data Hub

APRIL 25, 2024

The methodology gained prominence with the publication of a 1990 article in the Harvard Business Review, “Reengineering Work: Don’t Automate, Obliterate,” by Michael Hammer, and the 1993 book by Hammer and James Champy, Reengineering the Corporation.

Cost-Benefit 57

Cost-Benefit Finance Optimization Key Performance Indicator 57

Smarten

JULY 12, 2017

The simplest, easiest and spreadsheetble (I just invented this word) information which can be used for predictive and forecasting is defined data over a period. We will not discuss this here and hope you are relieved of some scepticism about this article at this stage. Analysts could write 20 pages on this.

Predictive Analytics 40

Predictive Analytics Sales Manufacturing Data-driven 40

IBM Big Data Hub

JULY 6, 2023

One ride-hailing transportation company uses big data analytics to predict supply and demand, so they can have drivers at the most popular locations in real time. The company also uses data science in forecasting, global intelligence, mapping, pricing and other business decisions.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

FineReport

MARCH 24, 2024

This article explores the data analyst job description, covering essential skills, tools, education, certifications, and experience. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue.

Statistics 52

Statistics Data mining Visualization Reporting 52

Smarten

JUNE 10, 2022

Predictive Modeling to support business needs, forecast, and test theories. Embedded BI to allow users to sign in to familiar enterprise apps and leverage APIs to integrate analytics within that application for intuitive use. Smart Data Visualization.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

Smart Data Collective

DECEMBER 5, 2019

In June, Aviation Today published a great article on the state of machine learning and AI in the airline industry. The article showed that machine learning and AI are helping the industry become more lucrative in the 21 st Century. Predictive analytics will be used much more in airline marketing in the months to come.

Machine Learning 65

Machine Learning Cost-Benefit Strategy Marketing 65

Smart Data Collective

MARCH 5, 2022

Here are some reasons that data scientists will have a strong edge over their competitors after starting a dropshipping business: Data scientists understand how to use predictive analytics technology to forecast trends. This is essential for dropshipping, because you need to know what products to focus on selling.

Data mining 134

Data mining Big Data Data-driven Data Science 134

Smarten

JUNE 29, 2018

This article will focus on the Naïve Bayes Classification method of analysis. Weather Forecasting – Based on temperature, humidity, pressure etc., an organization can predict if it will be rainy/sunny/windy tomorrow. a business can predict the likelihood of fraud. What is Naïve Bayes Classification? About Smarten.

Enterprise 40

Enterprise IT Business Intelligence Forecasting 40