CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. from 2022 to 2028.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

datapine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. Your Chance: Want to try a professional BI analytics software? Experts say that BI and data analytics makes the decision-making process 5x times faster for businesses.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Rocket-Powered Data Science

JULY 13, 2023

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”).

Analytics 167

Analytics Machine Learning Data Science Data Collection 167

CIO Business Intelligence

FEBRUARY 6, 2025

As someone deeply involved in shaping data strategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. But heres the question I keep asking myself: do we really need this immense power for most of our analytics? Theyre impressive, no doubt.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

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. Prescriptive Analytics: What should we do?

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

CIO Business Intelligence

JULY 5, 2022

What is business analytics? Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. What are the benefits of business analytics? What is the difference between business analytics and data analytics?

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. How do predictive and prescriptive analytics fit into this statistical framework?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Statistics 157

CIO Business Intelligence

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

Smarten

MAY 16, 2019

Without a fundamental understanding of how a customer makes a buying decision and how customers choose a product or service, the marketing and advertising process is based only on guesswork, and that guesswork is bound to result in lost revenue and poor optimization of the marketing budget. Learn More: Marketing Optimization.

Predictive Analytics 56

Predictive Analytics Optimization Marketing Analytics 56

Smarten

JANUARY 3, 2020

Assisted Predictive Modeling Delivers Predictive Analytics to Business Users! When we use terms like ‘predictive analytics’, it sometimes puts off the general business population. While predictive analytics techniques and predictive modeling does include complicated algorithms.

Predictive Modeling 52

Predictive Modeling Modeling Predictive Analytics Forecasting 52

Smarten

JUNE 20, 2023

Citizen Data Scientists Can Use Assisted Predictive Modeling to Create, Share and Collaborate! Gartner has predicted that, ‘40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.’

Predictive Modeling 52

Predictive Modeling Modeling Forecasting Data Science 52

Smart Data Collective

MARCH 28, 2022

Data analytics is the discipline of examining raw data to make conclusions about that set of information. All the processes and techniques used in data analytics can be automated into algorithms that work on raw data. Businesses can use it to optimize their performance. Types of data analytics. Benefits of data analytics.

Data Analytics 105

Data Analytics Software Analytics Statistics 105

Smarten

FEBRUARY 6, 2025

The Use and Benefits of Low-Code No-Code Development in Business Intelligence (BI) and Predictive Analytics Solutions Introduction In this article, we will discuss Low-Code and No-Code Development (LCNC) and the use of the Low Code and No Code approach for business intelligence (BI) tools and predictive analytics solutions.

Predictive Analytics 40

Predictive Analytics Key Performance Indicator Analytics Predictive Modeling 40

Smarten

JULY 30, 2024

Assisted Predictive Modeling Enables Business Users to Predict Results with Easy-to-Use Tools! Gartner predicted that, ‘75% of organizations will have deployed multiple data hubs to drive mission-critical data and analytics sharing and governance.’ That’s why your business needs predictive analytics.

Predictive Analytics 62

Predictive Analytics Prescriptive Analytics Predictive Modeling Analytics 62

Smarten

JANUARY 28, 2020

Predictive Analytics Can Be Accurate and Easy! Predictive analytics is more refined, more dependable and more comprehensive than ever. The foundation for predictive analysis is a great predictive analytics tool, and features and function that include assisted predictive modeling.

Predictive Analytics 67

Predictive Analytics Software Predictive Modeling Analytics 67

Smarten

FEBRUARY 7, 2020

Assisted Predictive Modeling: The Word ‘Assisted’ is the Key! Assisted predictive modeling! It is true that without the skills and knowledge of a data scientist or a business analyst, predictive analysis can be a daunting task. The term sounds complex and intimidating, doesn’t it? The word ‘assisted’ is the key!

Predictive Analytics 67

Predictive Analytics Predictive Modeling Analytics Software 67

Smarten

JULY 9, 2018

Create Citizen Data Scientists with Assisted Predictive Modeling! If your business is looking for a comprehensive augmented advanced analytics solution, what are some of the critical factors to consider? You need Assisted Predictive Modeling (Plug n’ Play Predictive Analysis with auto-suggestions and recommendations).

Predictive Modeling 40

Predictive Modeling Modeling Predictive Analytics ROI 40

CIO Business Intelligence

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Check out our list of top big data and data analytics certifications.)

Data Science 126

Data Science Machine Learning Predictive Modeling Forecasting 126

Rocket-Powered Data Science

FEBRUARY 12, 2021

IA incorporates feedback, learning, improvement, and optimization in the automation loop. Interest in AI is high and growing, specifically in the areas of smart analytics, customer-centricity, chatbots, and predictive modeling. Productivity improvement is the single most important driver for adopting RPA, IA, and AI.

ROI 234

ROI Digital Transformation Reporting Machine Learning 234

CIO Business Intelligence

OCTOBER 2, 2024

Cities are embracing smart city initiatives to address these challenges, leveraging the Internet of Things (IoT) as the cornerstone for data-driven decision making and optimized urban operations. Advanced analytics platforms, leveraging machine learning (ML) algorithms and AI, extract meaningful insights from this data.

IoT 123

IoT Internet of Things Predictive Modeling Data-driven 123

Smarten

JANUARY 15, 2019

How Can I Leverage Assisted Predictive Modeling to Benefit My Business? Some people hear the term ‘assisted predictive modeling’ and their eyes cross. Analyze, share and optimize business potential. Explore Assisted Predictive Modeling and find out how it can benefit your organization.

Predictive Modeling 40

Predictive Modeling Modeling Forecasting Predictive Analytics 40

O'Reilly on Data

JUNE 18, 2019

There has been a significant increase in our ability to build complex AI models for predictions, classifications, and various analytics tasks, and there’s an abundance of (fairly easy-to-use) tools that allow data scientists and analysts to provision complex models within days. Data programming.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

Sisense

JANUARY 26, 2020

In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. Building an accurate predictive analytics model isn’t easy. It’s a difficult process, but an effective predictive analytics engine is an enormous asset for any organization.

Predictive Analytics 78

Predictive Analytics Manufacturing Analytics Forecasting 78

KDnuggets

AUGUST 22, 2019

We developed an optimal prediction model from correlations in the time and status of ownership as well as the time of the year of sales fluctuations. Using the ATTOM dataset, we extracted data on sales transactions in the USA, loans, and estimated values of property.

Sales 109

Sales Technology Predictive Modeling Optimization 109

Smarten

NOVEMBER 26, 2018

Your Business Users Will LOVE Predictive Analytics Tools! Predictive Analytics used to involve a crystal ball but, today, there are other options and they are more widely accepted in the business community!

Predictive Analytics 58

Predictive Analytics Predictive Modeling Analytics Forecasting 58

Smarten

MARCH 31, 2019

Predictive Analytics Techniques That Are Easy Enough for Business Users! There are a myriad of predictive analytics techniques and predictive modeling algorithms and you can’t expect your business users to understand and use them.

Predictive Modeling 40

Predictive Modeling Modeling Predictive Analytics Forecasting 40

Smarten

MAY 14, 2019

If a business wishes to optimize inventory, production and supply, it must have a comprehensive demand planning process; one that can forecast for customer segment growth, seasonality, planned product discounting or sales, bundling of products, etc. Marketing Optimization. Predictive Analytics Using External Data.

Predictive Analytics 56

Predictive Analytics Analytics Predictive Modeling Forecasting 56

CIO Business Intelligence

DECEMBER 19, 2024

common projects for climate tech professionals are related to EV infrastructure (solar, wind, and nuclear projects), smart grids, and corporate carbon tracking analytics which is fueled in a large part by government subsidies and funding, Breckenridge explains. In the U.S.,

IT 52

IT IoT Machine Learning Optimization 52

Smarten

MAY 9, 2024

Here, we examine the benefits of Augmented Analytics and how to plan and successfully execute an Augmented Analytics initiative.

Optimization 62

Optimization Analytics Marketing Enterprise 62

DataKitchen

SEPTEMBER 21, 2023

L1 is usually the raw, unprocessed data ingested directly from various sources; L2 is an intermediate layer featuring data that has undergone some form of transformation or cleaning; and L3 contains highly processed, optimized, and typically ready for analytics and decision-making processes. What is Data in Use?

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

Dataiku

MAY 21, 2021

In this series, we explore constructing a fantasy sports roster as an example use case of an organization having to optimally allocate resources. Here in part one, we introduce the topic of optimization in enterprise contexts and begin building an end-to-end solution with data exploration and predictive analytics in Dataiku.

Predictive Modeling 59

Predictive Modeling Modeling Predictive Analytics Optimization 59

Smarten

MAY 17, 2019

These are just some of the examples of use cases that effectively illustrate how your business can benefit from predictive analytics in real-world scenarios. The benefits of advanced analytics and assisted predictive modeling are too numerous to provide a complete list here. Marketing Optimization.

Predictive Analytics 65

Predictive Analytics Forecasting Analytics Predictive Modeling 65

BizAcuity

JULY 13, 2021

Optimize your Go To Market: The gaming business consists of various applications like the gaming platforms (Casino, Live Dealer, Poker, Sports, Bingo, etc.), account platform, payment, affiliate, loyalty system, bonus and promotion systems, financial application, CRM system, and many others. Data Analytics Layer.

Optimization 52

Optimization Marketing Analytics Data Warehouse 52

CIO Business Intelligence

MARCH 19, 2025

The time has come for data leaders to move beyond traditional governance and analytics sustainability is the next frontier for CDOs, and the opportunity to lead is now. Insufficient resource allocation for ESG data initiatives Managing sustainability data requires robust governance, analytics capabilities and cross-functional collaboration.

IT 59

IT Data Governance Data-driven Metrics 59

Smarten

MAY 17, 2019

With the right advanced analytical tools, a business can combine internal and external data to understand and anticipate trends, patterns and factors that will affect the bottom line, the supply chain, resource and location planning and other aspects of business success. Learn More: Predictive Analytics Using External Data.

Predictive Analytics 58

Predictive Analytics Analytics Predictive Modeling Risk Management 58

Smarten

MAY 13, 2019

An enterprise can leverage predictive analytics to identify the most likely areas and actors that will be involved in fraudulent activities and by developing fraud detection models, the enterprise can reduce the cost and the negative impact to the business reputation and to the bottom line. Marketing Optimization.

Predictive Analytics 11

Predictive Analytics Analytics Predictive Modeling Risk 11

Smart Data Collective

SEPTEMBER 17, 2020

Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. Data analytics are now very crucial whenever there is a decision-making process involved. Analytics and big data play a critical role when it comes to the financial industry. Perks Associated with Big Data.

Big Data 145

Big Data Finance Risk Management Risk 145