Smart Data Collective

OCTOBER 16, 2023

All in all, big data refers to massive data collections obtained from various sources. For example, predictive analytics detect unlawful trading and fraudulent transactions in the banking industry. Smart devices use sensors to collect data and upload it to the Internet. Big data can also be utilized to improve security measures.

Big Data 312

Big Data Banking Artificial Intelligence Cybersecurity 312

Smart Data Collective

JULY 16, 2023

Through quantitative models that rely on predictive analytics tools, managers can quantify and measure risk exposures, identify potential vulnerabilities, and assess the effectiveness of risk mitigation strategies. Market volatility refers to the rate at which the price of an asset increases or decreases.

Data Analytics 243

Data Analytics Data Analytics Big Data Predictive Analytics 243

Smart Data Collective

AUGUST 15, 2019

Using data, you can identify your resignation rate and commonalities and correlations; use predictive analytics to determine risk of exit; and much more. Indirect costs refer to the expenses of maintaining a company that are not related to the cost of products sold or services offer. Indirect Costs.

Big Data 266

Big Data Artificial Intelligence Predictive Analytics Banking 266

Smart Data Collective

JULY 22, 2019

They use a variety of machine learning and predictive analytics models to target new marks and reach them more effectively. A number of other hackers are tricking people with cross site reference forgeries. These include: Using predictive analytics models to identify the people that will be most susceptible to their scams.

Artificial Intelligence 216

Artificial Intelligence Digital Predictive Analytics Banking 216

Smart Data Collective

DECEMBER 17, 2021

It can refer to predictive analytics or even “big data.” Introduction: What is Business Intelligence? Business Intelligence is the collection, storage, analysis, and reporting of data to make better business decisions. ” Many companies realize the power of BI to improve their business results.

Business Intelligence 310

Business Intelligence Business Intelligence Big Data Digital 310

Smart Data Collective

AUGUST 21, 2022

The process of ensuring that your product or software is of the best quality for your clients is referred to as quality assurance testing or QA testing. QA refers to the processes that are carried out in order to prevent issues with a software product or service. AI is Crucial for Handling the QA Process When Developing New Products.

Artificial Intelligence 246

Artificial Intelligence User Experience Predictive Analytics Data Analytics 246

Smart Data Collective

AUGUST 8, 2019

Unfortunately, predictive analytics and machine learning technology is a double-edged sword for cybersecurity. They are developing predictive analytics tools with big data to prepare for threats before they surface. Big data is the lynchpin of new advances in cybersecurity.

Big Data 270

Big Data Banking Cybersecurity Predictive Analytics 270

ElegantJ BI

JUNE 12, 2017

More like an e-commerce site, one has to be given a choice to select a ready analytics or graph based on past analysis and intentions. So it is prediction running on predictive analytics. Predictive for the user. Using references and start points for ranges. This is not very complicated.

E-Commerce 162

E-Commerce Predictive Analytics Data Discovery Data Visualization 162

Smart Data Collective

MARCH 11, 2022

Data analytics can assist you in figuring out why people abandon your brand or prefer alternative products instead. 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. Customer Engagement Analytics.

Customer Experience 325

Customer Experience Customer Experience Big Data Artificial Intelligence 325

BizAcuity

OCTOBER 21, 2019

Text Analytics – is a process of turning unstructured text – available in the form of tweets, comments, reviews, etc. Text mining is also referred to as text analytics, is the process of deriving high -quality information from text. The way forward.

Data Mining 183

Data Mining Predictive Analytics Visualization Information Technology 183

BizAcuity

MAY 7, 2019

An area of predictive analytics, demand forecasting takes into account the historical data of a business and uses that to harnesses the demand for their goods and services. For instance, if the demand is underestimated, sales can be lost due to the lack of supply of goods – which is referred to as a negative gap.

Supply Chain 189

Supply Chain Data Mining Predictive Analytics Planning 189

Smart Data Collective

AUGUST 14, 2019

Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. Big data analytics: solutions to the industry challenges. The healthcare sector is heavily dependent on advances in big data.

Healthcare 252

Healthcare Big Data Data Analytics Data Analytics 252

Smart Data Collective

SEPTEMBER 26, 2019

The emergence of massive data centers with exabytes in the form of transaction records, browsing habits, financial information, and social media activities are hiring software developers to write programs that can help facilitate the analytics process. Velocity refers to the real-time speed at which data is created.

Big Data 253

Big Data Banking Cloud Computing Artificial Intelligence 253

Analysts Corner

MAY 22, 2023

Introduction Logistic regression, much like linear regression, stands as a fundamental method in predictive analytics. However, while linear regression is typically employed for predicting quantitative outputs, logistic regression shines in the realm of categorical predictions, primarily binary.

Logistics 130

Logistics Predictive Analytics Healthcare Finance 130

Smart Data Collective

AUGUST 26, 2021

Big Data Analytics & Weather Forecasting: Understanding the Connection. Big data analytics refers to a combination of technologies used to derive actionable insights from massive amounts of data. Let’s explore how it improves the accuracy and efficiency of weather forecasting.

Data Analytics 334

Data Analytics Data Analytics Big Data Artificial Intelligence 334

BizAcuity

APRIL 1, 2023

There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics. Predictive Analytics It is a subset of business analytics that uses statistical techniques (algorithms) to find patterns in historical data points and predict future outcomes with high accuracy.

Predictive Analytics 130

Predictive Analytics Monitoring Banking Documentation 130

BizAcuity

JANUARY 18, 2023

There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics. Predictive Analytics. For predictive analytics to deliver high accuracy, a lot depends on the combination of domain knowledge and technical expertise.

Predictive Analytics 130

Predictive Analytics Monitoring Banking Documentation 130

ElegantJ BI

JUNE 12, 2017

More like an e-commerce site, one has to be given a choice to select a ready analytics or graph based on past analysis and intentions. So it is prediction running on predictive analytics. Predictive for the user 2. Using references and start points for ranges 4. This is not very complicated.

E-Commerce 130

E-Commerce Predictive Analytics Data Discovery Data Visualization 130

ElegantJ BI

JUNE 12, 2017

More like an e-commerce site, one has to be given a choice to select a ready analytics or graph based on past analysis and intentions. So it is prediction running on predictive analytics. Predictive for the user 2. Using references and start points for ranges 4. This is not very complicated.

E-Commerce 130

E-Commerce Predictive Analytics Data Discovery Data Visualization 130

BizAcuity

MARCH 31, 2022

Enterprise Artificial intelligence (AI) is a common jargon used to refer to how an organization integrates artificial intelligence (AI) into its infrastructure to drive digital transformation. Artificial Intelligence Analytics. The aim of predictive analytics is, as the name suggests, to predict and forecast outcomes.

Artificial Intelligence 130

Artificial Intelligence Data Analytics Data Analytics Predictive Analytics 130

The BAWorld

NOVEMBER 8, 2024

By exploring the types of business analytics —descriptive, diagnostic, predictive, and prescriptive—businesses can gain deeper insights and make more informed, data-driven decisions that drive success. In one of our earlier posts on Predictive analytics , we have discussed it in detail.

Predictive Analytics 40

Predictive Analytics Data Discovery Data Mining Visualization 40

ElegantJ BI

NOVEMBER 8, 2022

It provides an individual study environment that includes video, slides, lectures and supporting documentation for further study and reference. It is also suitable for those that wish to find out more about the Citizen Data Scientist approach to Data Literacy and fact-based decision-making.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Predictive Analytics 130

ElegantJ BI

NOVEMBER 8, 2022

It provides an individual study environment that includes video, slides, lectures and supporting documentation for further study and reference. It is also suitable for those that wish to find out more about the Citizen Data Scientist approach to Data Literacy and fact-based decision-making.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Predictive Analytics 130

ElegantJ BI

NOVEMBER 8, 2022

It provides an individual study environment that includes video, slides, lectures and supporting documentation for further study and reference. It is also suitable for those that wish to find out more about the Citizen Data Scientist approach to Data Literacy and fact-based decision-making.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Predictive Analytics 130

ElegantJ BI

MARCH 6, 2016

The Gartner ‘ Market Guide for Enterprise-Reporting-Based Platforms ‘ features key enterprise-reporting-based platforms used by data and analytics leaders to build large-scale systems-of-record reporting systems and embedded applications.

Business Intelligence 130

Business Intelligence Business Intelligence Logistics Data Discovery 130

Data Pine

NOVEMBER 27, 2019

However, businesses today want to go further and predictive analytics is another trend to be closely monitored. Predictive analytics is the practice of extracting information from existing data sets in order to forecast future probabilities. It’s an extension of data mining which refers only to past data.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

BizAcuity

OCTOBER 21, 2019

Text Analytics – is a process of turning unstructured text – available in the form of tweets, comments, reviews, etc. Text mining is also referred to as text analytics, is the process of deriving high -quality information from text. into structured data to develop actionable managerial insights to enhance their operations.

Data Mining 100

Data Mining Predictive Analytics Visualization Information Technology 100

Dataversity

MAY 28, 2021

Big data, on the other hand, refers to the large-scale collection of relevant data by an organization and […]. The post Unlocking the Role of Big Data in Facilities Management appeared first on DATAVERSITY.

Big Data 130

Big Data Predictive Analytics 130

ElegantJ BI

DECEMBER 9, 2021

One such ‘mysterious’ technology reference is R scripting and R integration. There are many features you’ll want and your IT consulting partner or IT team can help you understand how those features can be used and why they are important. For business analysts, IT team members and data scientists, this concept may be old hat.

Business Intelligence 162

Business Intelligence Business Intelligence Visualization Predictive Analytics 162

ElegantJ BI

MARCH 6, 2016

The Gartner ‘ Market Guide for Enterprise-Reporting-Based Platforms ‘ features key enterprise-reporting-based platforms used by data and analytics leaders to build large-scale systems-of-record reporting systems and embedded applications.

Business Intelligence 100

Business Intelligence Business Intelligence Logistics Data Discovery 100

ElegantJ BI

MARCH 6, 2016

The Gartner ‘ Market Guide for Enterprise-Reporting-Based Platforms ‘ features key enterprise-reporting-based platforms used by data and analytics leaders to build large-scale systems-of-record reporting systems and embedded applications.

Business Intelligence 100

Business Intelligence Business Intelligence Logistics Data Discovery 100

ElegantJ BI

MARCH 6, 2016

The Gartner ‘ Market Guide for Enterprise-Reporting-Based Platforms ‘ features key enterprise-reporting-based platforms used by data and analytics leaders to build large-scale systems-of-record reporting systems and embedded applications.

Business Intelligence 100

Business Intelligence Business Intelligence Logistics Data Discovery 100

ElegantJ BI

MARCH 6, 2016

The Gartner ‘ Market Guide for Enterprise-Reporting-Based Platforms ‘ features key enterprise-reporting-based platforms used by data and analytics leaders to build large-scale systems-of-record reporting systems and embedded applications.

Business Intelligence 100

Business Intelligence Business Intelligence Logistics Data Discovery 100

ElegantJ BI

MARCH 6, 2016

The Gartner ‘ Market Guide for Enterprise-Reporting-Based Platforms ‘ features key enterprise-reporting-based platforms used by data and analytics leaders to build large-scale systems-of-record reporting systems and embedded applications.

Business Intelligence 100

Business Intelligence Business Intelligence Logistics Data Discovery 100

Analysts Corner

APRIL 19, 2024

Understanding Generative AI Generative AI refers to artificial intelligence systems that can generate content, from text to simulations, by learning from vast amounts of data. Predictive Analytics for Performance Improvement Using machine learning algorithms, GenAI can predict future performance issues by analyzing trends in current data.

Artificial Intelligence 130

Artificial Intelligence Customer Experience Customer Experience Predictive Analytics 130

ElegantJ BI

DECEMBER 9, 2021

One such ‘mysterious’ technology reference is R scripting and R integration. There are many features you’ll want and your IT consulting partner or IT team can help you understand how those features can be used and why they are important. For business analysts, IT team members and data scientists, this concept may be old hat.

Business Intelligence 130

Business Intelligence Business Intelligence Visualization Predictive Analytics 130

ElegantJ BI

DECEMBER 9, 2021

One such ‘mysterious’ technology reference is R scripting and R integration. There are many features you’ll want and your IT consulting partner or IT team can help you understand how those features can be used and why they are important. For business analysts, IT team members and data scientists, this concept may be old hat.

Business Intelligence 130

Business Intelligence Business Intelligence Visualization Predictive Analytics 130