Smart Data Collective

DECEMBER 21, 2022

A growing number of companies are developing sophisticated business intelligence models, which wouldn’t be possible without intricate data storage infrastructures. The Global BPO Business Analytics Market was worth nearly $17 billion last year. Data quality is vital to the viability of any business analytics model.

Business Analytics 111

Business Analytics Analytics Data Quality Big Data 111

IBM Big Data Hub

APRIL 26, 2023

Efficient management of an incredibly complex supply chain Jabil is a longtime partner and IBM Business Analytics (BA) portfolio user. Switching to IBM Business Analytics gave Jabil the ability to gather and structure data in a centralized approach for management.

Business Analytics 85

Business Analytics Reporting Analytics Finance 85

Analytics Vidhya

DECEMBER 4, 2022

The post XAI: Accuracy vs Interpretability for Credit-Related Models appeared first on Analytics Vidhya. When too much risk is restricted to very few players, it is considered as a notable failure of the risk management framework. […].

Modeling 369

Modeling Risk Management Risk Management 369

Analytics Vidhya

JUNE 21, 2020

Overview You can perform predictive modeling in Excel in just a few steps Here’s a step-by-step tutorial on how to build a linear regression. The post Predictive Modeling in Excel – How to Create a Linear Regression Model from Scratch appeared first on Analytics Vidhya.

Predictive Modeling 290

Predictive Modeling Modeling Analytics Business Analytics 290

Rocket-Powered Data Science

JULY 14, 2023

We discussed in another article the key role of enterprise data infrastructure in enabling a culture of data democratization, data analytics at the speed of business questions, analytics innovation, and business value creation from those innovative data analytics solutions.

Analytics 186

Analytics Big Data Strategy Enterprise 186

Sisense

AUGUST 11, 2019

This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal. So…what is the difference between business intelligence and business analytics? What Does “Business Analytics” Mean?

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

Rocket-Powered Data Science

JULY 14, 2023

I recently saw an informal online survey that asked users what types of data (tabular; text; images; or “other”) are being used in their organization’s analytics applications. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

Analytics 165

Analytics Internet of Things Prescriptive Analytics Data Science 165

TreehouseTechGroup

AUGUST 26, 2020

While advanced analytics have facilitated business improvements in many organizations, there are some revenue models that would not have even been possible before analytics capabilities were developed.

Business Analytics 52

Business Analytics Analytics Manufacturing Modeling 52

TreehouseTechGroup

AUGUST 26, 2020

While advanced analytics have facilitated business improvements in many organizations, there are some revenue models that would not have even been possible before analytics capabilities were developed. The post Top 3 Business Analytics Examples From Real Business Cases appeared first on Treehouse Tech Group.

Business Analytics 52

Business Analytics Analytics Manufacturing Modeling 52

Rocket-Powered Data Science

MARCH 19, 2021

The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. But more significant has been the acceleration in the number of dynamic, real-time data sources and corresponding dynamic, real-time analytics applications. Well, that statement was made five years ago!

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

Smarten

SEPTEMBER 14, 2018

Just Simple, Assisted Predictive Modeling for Every Business User! No matter the market or type of business, there is no room in today’s business landscape for guesswork. And, with Assisted Predictive Modeling , you can make these tasks even easier.

Predictive Modeling 40

Predictive Modeling Business Analytics Modeling Analytics 40

Analytics Vidhya

AUGUST 28, 2020

Overview Analytics and Business Intelligence provide comprehensible view of the company and derive actionable insights. We’ll discuss 6 top business intelligence tools that you. The post 6 Top Tools for Analytics and Business Intelligence in 2020 appeared first on Analytics Vidhya.

Business Intelligence 391

Business Intelligence Analytics Business Analytics Visualization 391

CIO Business Intelligence

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. What are the four types of data analytics?

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Analytics Vidhya

APRIL 17, 2024

Embedding models come in and untangle this mess, making it easier to work with. appeared first on Analytics Vidhya. Introduction Imagine a giant ball of tangled information – that’s kind of what complex data can be like. This makes it […] The post How can Cohere Compass Simplify your Complex Data Challenges?

Modeling 282

Modeling Management Analytics IT 282

Smart Data Collective

MARCH 19, 2023

Paul Glen of IBM’s Business Analytics wrote an article titled “ The Role of Predictive Analytics in the Dropshipping Industry.” ” Glen shares some very important insights on the benefits of utilizing predictive analytics to optimize a dropshipping commpany. The dropshipping industry is among them.

Predictive Analytics 128

Predictive Analytics Analytics Manufacturing Advertising 128

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 85

Data Science Data Analytics Prescriptive Analytics Analytics 85

datapine

APRIL 15, 2020

When encouraging these BI best practices what we are really doing is advocating for agile business intelligence and analytics. In our opinion, both terms, agile BI and agile analytics, are interchangeable and mean the same. Your Chance: Want to test an agile business intelligence solution? What Is Agile Analytics And BI?

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Analytics Vidhya

MARCH 5, 2024

It covers planning your business, identifying your niche, market research, and understanding the Business Model Canvas. Additionally, it guides you through building a […] The post How to Launch Your Online Business Using ChatGPT appeared first on Analytics Vidhya.

Marketing 266

Marketing Modeling Analytics IT 266

FineReport

JUNE 11, 2021

As companies striving to embrace digital transformation and become data-driven, business intelligence and analytics skills and experience are essential to building a data-savvy team. However, if someone puts you on the spot, can you clearly tell the difference between business intelligence and analytics? Definition.

Business Intelligence 98

Business Intelligence Analytics Dashboards Statistics 98

Smarten

JANUARY 27, 2023

Smarten has announced the launch of Predictive Model Mark-Up Language (PMML) Integration capability for its Smarten Augmented Analytics suite of products. Smarten PMML Integration enables a seamless process, designed for business users,’ says Patel. Models are interpreted in English and model details are logically organized.

Predictive Modeling 52

Predictive Modeling Analytics Predictive Analytics Business Intelligence 52

CIO Business Intelligence

JUNE 29, 2022

An essential challenge in this is to use analytics at its best to truly understand what lies ahead. Based on our extensive interactions with businesses worldwide, here are five of the foremost changes happening in companies that are advancing with predictive analytics: 1. Businesses will move from data to science.

Predictive Analytics 120

Predictive Analytics Analytics Business Objectives Data-driven 120

CIO Business Intelligence

APRIL 15, 2022

Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. According to CIO’s State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year.

Analytics 145

Analytics Machine Learning Insurance Testing 145

AWS Big Data

NOVEMBER 29, 2023

Since then, customer demands for better scale, higher throughput, and agility in handling a wide variety of changing, but increasingly business critical analytics and machine learning use cases has exploded, and we have been keeping pace. Let’s dive into the highlights.

Data Warehouse 100

Data Warehouse Data Lake Analytics Machine Learning 100

Smarten

JUNE 27, 2018

This article provides a brief explanation of the SVM Classification method of analytics. The prediction accuracy is useful criterion for assessing the model performance. Model with prediction accuracy >= 70% is useful. How Can SVM Classification Analysis Benefit Business Analytics? Use Case – 1.

Business Analytics 40

Business Analytics Analytics IT Business Intelligence 40

Smart Data Collective

MAY 8, 2022

Big data, analytics, and AI all have a relationship with each other. For example, big data analytics leverages AI for enhanced data analysis. Brands are closely working to solve this as they dive deep into the world of big data analytics. What is the relationship between big data analytics and AI? Business analytics.

Big Data 106

Big Data Data Analytics Analytics Cost-Benefit 106

Smarten

JULY 26, 2022

Smarten is pleased to announce the launch of its Mobile Application for Smarten Augmented Analytics. 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.”

Key Performance Indicator 74

Key Performance Indicator Analytics Business Intelligence Dashboards 74

IBM Big Data Hub

OCTOBER 5, 2022

IBM Planning Analytics, or TM1 as it used to be known, has always been a powerful upgrade from spreadsheets for all kinds of planning and reporting use cases, including financial planning and analysis (FP&A), sales & operations planning (S&OP), and many aspects of supply chain planning (SCP).

Analytics 52

Analytics Forecasting Predictive Modeling Manufacturing 52

IBM Big Data Hub

AUGUST 28, 2023

It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. For more than 10 years, the publisher has used IBM Cognos Analytics to wrangle its internal and external operational reporting needs. This contributed to the need for more analytics by our users.

Publishing 55

Publishing Analytics Business Intelligence Operational Reporting 55

Analytics Vidhya

MAY 22, 2023

A recent survey on Generative AI conducted by Accenture shows that Fortune 500 CEOs still focus on earlier generations of technology, such as predictive AI or robotic process automation, rather than generative AI, computer models that create text, images, and computer code.

Technology 251

Technology Modeling Analytics Business Analytics 251

Sisense

OCTOBER 21, 2020

As a member of the data team, your role is complex and multifaceted, but one important way you support your colleagues across the company is by building and maintaining data models. Let’s dig into how we can build better data models to support this broad user base and why that’s so important in the world of big data we’re living in.

Modeling 71

Modeling Data-driven Dashboards Interactive 71

FineReport

JUNE 11, 2021

As companies striving to embrace digital transformation and become data-driven, business intelligence and analytics skills and experience are essential to building a data-savvy team. However, if someone puts you on the spot, can you clearly tell the difference between business intelligence and analytics? Definition.

Business Intelligence 52

Business Intelligence Analytics Dashboards Statistics 52

Analytics Vidhya

FEBRUARY 20, 2023

As the demand for ML models increases, so makes the demand for user-friendly interfaces to interact with these models. Introduction Machine Learning is a fast-growing field, and its applications have become ubiquitous in our day-to-day lives.

Dashboards 179

Dashboards Machine Learning Interactive Modeling 179

Smart Data Collective

OCTOBER 31, 2021

Analytics technology is incredibly important in almost every facet of business. Virtually every industry has found some ways to utilize analytics technology, but some are relying on it more than others. The e-commerce sector is among those that has relied most heavily on analytics technology.

Analytics 109

Analytics Data mining Analytics Technologies Sales 109

Sisense

JULY 29, 2020

That’s where data and analytics are vital: They can help you make the right decisions to shape your organization’s future, both near- and long-term. Companies say that data and analytics can help them thrive. That’s why analytics has become increasingly essential t o companies in this time of crisis. We’ll see how.

Analytics 95

Analytics Digital Transformation Data-driven Sales 95

Smarten

JUNE 17, 2022

Smarten announces the recent certification of its Smarten Augmented Analytics Software product by CERT-IN. Contact the Smarten team for more information on Smarten Augmented Analytics solution. Original Post : Smarten Augmented Analytics Receives CERT-IN Certification for Its Products and Services! About Smarten.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

Cloudera

JANUARY 24, 2023

UBL needed a superior data platform to handle the increasing volume and improve the business With UBL’s growing success, the bank needed to accommodate its growing volume of data. To this end, UBL embarked on a data analytics project that would achieve its goals for an improved data environment. Analytics for everyone.

Optimization 78

Optimization Data Analytics Analytics IT 78

CIO Business Intelligence

JANUARY 20, 2023

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions. This gets to the heart of the question of who business intelligence is for.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144