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 101

Predictive Analytics Analytics Forecasting Statistics 101

TDAN

MARCH 19, 2025

In order to do this, the team must have a dependable plan, be able to forecast results, and create reasonable objectives, goals, and competitive strategies. These plans and forecasts will support investment in technology, appropriate resources and hiring strategies, additional locations, products, services and marketing […]

Predictive Analytics 52

Predictive Analytics Analytics Forecasting Strategy 52

Jedox

JULY 6, 2021

When considering the performance of any forecasting model, the prediction values it produces must be evaluated. An error metric is a way to quantify the performance of a model and provides a way for the forecaster to quantitatively compare different models 1. Where y’ is forecasted value and y is the true value.

Forecasting 104

Forecasting Metrics Testing Modeling 104

CIO Business Intelligence

FEBRUARY 6, 2025

This article reflects some of what Ive learned. This article was made possible by our partnership with the IASA Chief Architect Forum. Recently, my involvement with IASA and SustainableIT.org has given me a new lens through which to view these projects: sustainability. The hype around large language models (LLMs) is undeniable.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

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

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. Team members who have access to augmented analytics and assisted predictive modeling can plan better, predict more accurately and dependably meet goals and objectives.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

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 130

Management Analytics Predictive Analytics Cost-Benefit 130

Smart Data Collective

AUGUST 29, 2022

However, the rapidly changing business environment requires more sophisticated analytical tools in order to quickly make high-quality decisions and build forecasts for the future. In this article, we will share some best practices for improving your analytics with ML. Top ML approaches to improve your analytics.

Analytics 132

Analytics Predictive Analytics Machine Learning Insurance 132

datapine

MARCH 25, 2022

Try our professional BI and analytics software for 14 days free! In an article tackling BI and Business Analytics, Better Buys asked seven different BI pros what their thoughts were on the difference between business intelligence and analytics. Your Chance: Want to extract the maximum potential out of your data?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Smarten

APRIL 10, 2023

Leverage Enterprise Investments for Predictive Analytics and Gain Numerous Advantages! Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Why the focus on predictive analytics?

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Prescriptive Analytics 52

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Mobile Analytics.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

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 Internet of Things Cost-Benefit Optimization 275

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

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 105

Big Data Uncertainty Risk Data mining 105

datapine

MAY 16, 2019

Here, we will look at restaurant data analytics, restaurant predictive analytics, analytics software for restaurants, and the specific ways that big data can help boost your business prospects across the board. The Role Of Predictive Analytics In Restaurants. Forecasting trends. Forecasting trends.

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

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 131

Big Data Forecasting Cost-Benefit 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 137

Marketing Data Analytics Analytics Big Data 137

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 104

Big Data Marketing Predictive Analytics IoT 104

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 124

Consulting Data-driven Marketing Strategy 124

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 103

Data Analytics Analytics Predictive Analytics Insurance 103

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 135

Big Data Cost-Benefit Machine Learning Data-driven 135

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

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

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

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 139

Data Analytics Management Analytics Big Data 139

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 101

Big Data Cost-Benefit Predictive Analytics Machine Learning 101

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 97

Optimization Data Analytics Analytics Data-driven 97

Smart Data Collective

MARCH 11, 2022

Therefore, you need sophisticated customer analytics to analyze complex customer behavior. This article will go over the concept of customer service analytics and some of the uses and advantages it could provide to a business. What Is Customer Service Analytics? Analyzing the Reasons of Customer Churn.

Customer Analytics 130

Customer Analytics Analytics Key Performance Indicator Big Data 130

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

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

Jet Global

MAY 21, 2020

Projected student enrollment, grade performance, alumni donations, and scholarships can influence the forecast for the fiscal year’s budget. Shrink budget and planning cycles by integrating budgeting, forecasting, and planning data with your ERP actuals in real-time. This is because their budgets are not just based on historical data.

Finance 98

Finance KPI Forecasting Data-driven 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. A growing body of research shows that big data can be invaluable for people planning for retirement.

Big Data 91

Big Data Cost-Benefit Insurance Data-driven 91

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.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Testing 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 128

B2B Big Data Sales Cost-Benefit 128

IBM Big Data Hub

JUNE 5, 2024

Predictive analytics. Predictive analytics forecast future events based on historical data; AI and ML models—such as regression analysis , neural networks and decision trees —enhance the accuracy of these predictions. Predictive analytics are equally valuable for user insights.

Analytics 79

Analytics Predictive Analytics Unstructured Data Data-driven 79

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 94

Machine Learning Cost-Benefit Strategy Insurance 94

datapine

JANUARY 18, 2023

With this information in hand, businesses can build strategies based on analytical evidence and not simple intuition. With the use of the right BI reporting tool businesses can generate various types of analytical reports that include accurate forecasts via predictive analytics technologies.

Reporting 201

Reporting Metrics Dashboards Visualization 201