Cloudera

OCTOBER 4, 2023

In financial services, fast-moving data is critical for real-time risk and threat assessments. We can move to predictive fraud and breach prevention, greatly increasing the protection of customer data and financial assets. Without real-time analytics we won’t catch the threats until after they’ve caused significant damage.

Data Warehouse 83

Data Warehouse Experimentation Cost-Benefit Dashboards 83

Smart Data Collective

JUNE 8, 2023

Monitoring player fitness levels, tracking recovery progress, and identifying potential injury risks are crucial for maintaining the overall well-being of players. By tracking exertion levels, coaches can manage training loads effectively, prevent burnout, and reduce the risk of injuries.

Data Analytics 83

Data Analytics Analytics Data Collection Statistics 83

FineReport

MARCH 24, 2024

Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue. Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making. JPMorgan Chase & Co.:

Statistics 52

Statistics Data mining Visualization Reporting 52

BizAcuity

AUGUST 26, 2019

The need for prescriptive analytics. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation. Thus arrives the need for casinos to adopt such new strategies and approaches towards business to stay ahead.

Prescriptive Analytics 74

Prescriptive Analytics Analytics Descriptive Analytics Predictive Analytics 74

Smarten

DECEMBER 3, 2023

Now that we have discussed the importance of considering these tools to improve your company results and support your business users, let’s take a closer look at the real benefits of augmented analytics. Every business needs to understand how these solutions can and will affect users, processes and workflow.

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

Smarten

JUNE 28, 2018

Business Problem: A bank wants to group loan applicants into high/medium/low risk based on attributes such as loan amount, monthly installments, employment tenure, the number of times the applicant has been delinquent in other payments, annual income, debt to income ratio etc. Use Case – 1. Use Case – 2.

IT 40

IT Business Intelligence Predictive Modeling Risk 40

BizAcuity

AUGUST 26, 2019

The need for prescriptive analytics. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation. Thus arrives the need for casinos to adopt such new strategies and approaches towards business to stay ahead.

Prescriptive Analytics 40

Prescriptive Analytics Analytics Descriptive Analytics Predictive Analytics 40

Smarten

JUNE 27, 2018

For example, if an outlier indicates a risk or a mistake, that outlier should be identified and the risk or mistake should be addressed.

IT 40

IT Business Intelligence Predictive Modeling Testing 40

Sisense

JULY 29, 2020

If they don’t, they risk failure and can jeopardize their survival. 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. Sisense analytics became a critical tool to enable such a pivot.

Analytics 95

Analytics Digital Transformation Data-driven Sales 95

Smarten

JUNE 25, 2018

In order to understand how best to make use of this algorithm; let’s look at some general examples, followed by some business use cases. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists. About Smarten.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

datapine

MARCH 15, 2019

An official information intelligence definition from IGI Global suggests: [Information intelligence is] the technique of turning large volumes of complex data into relevant and actionable intelligence in order to better manage risk and increase profitability.

Technology 143

Technology Cost-Benefit KPI Dashboards 143

Cloudera

JANUARY 14, 2021

The solution ingested and aggregated data from these temperature sensors with location and on-hand inventory data to predict, monitor, and respond to possible changes in perishable food products such as produce, dairy, and meat.

Cost-Benefit 68

Cost-Benefit Digital Transformation Sales IoT 68

Smarten

JUNE 29, 2018

Based on these labels, the bank can easily make a decision on whether to give a loan to an applicant and the credit limit and interest rate each applicant is eligible for based on the amount of risk involved. Use Case – 2.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

datapine

MARCH 25, 2022

We already saw earlier this year the benefits of Business Intelligence and Business Analytics. 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. Confused yet?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Smarten

JUNE 29, 2018

Based on these labels, the bank can easily make a decision on whether to give a loan to an applicant and the credit limit and interest rate for each applicant, based on the amount of risk. Use Case – 2.

Enterprise 40

Enterprise Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 27, 2018

Business Benefit: The bank can decide which customer segments are eligible for any type of loan and the customer segments that should be denied any loan, as they are likely to default. In this way, the riskier customers are identified easily and bank can avert the risk of delinquencies. Use Case – 2.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

datapine

JANUARY 6, 2022

Predictive analysis: As its name suggests, the predictive analysis method aims to predict future developments by analyzing historical and current data. They give you the freedom to easily look up or compare individual values while also displaying grand totals. One of the most popular ones is the use of BI dashboards.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Domino Data Lab

JULY 22, 2019

You know, case in point, if you were to talk about predictive analytics 20 years ago, the main people in the field would have laughed you out of the room. Predictive analytics, yeah, not so much.” Those workflows would feedback into your business analytics. It’s a much more complex landscape.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Rita Sallam

JULY 22, 2016

The risk of switching existing system of record reporting that is working may be higher than the benefit, so the 45% of you maintaining these systems makes sense, but increasing users and content? Q4: Are we going to discuss Predictive types of Analytics in this discussion? Research VP, Business Analytics and Data Science.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

datapine

AUGUST 29, 2022

However, don’t be deceived – just as you don’t need to be a literal startup to gain a lot of value from Eric Ries’ work, companies of all sizes and shapes can learn a lot of valuable information from “Lean Analytics”. 7) Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die by Eric Siegel.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

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

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. This is predictive power discovery. They are sentinel, precursor, and cognitive analytics.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

datapine

FEBRUARY 17, 2023

A recent study by Experian, shows that 84% of surveyed businesses said that there has been more demand for data insights within the company since COVID-19. That said, data and analytics are only valuable if you know how to use them to your advantage. Enter embedded analytics and white label business intelligence.

Analytics 191

Analytics Cost-Benefit Dashboards Business Intelligence 191

Grooper

AUGUST 19, 2019

Applied analytics Business analytics Machine learning and data science. Applied Analytics. Applied analytics is all about building a business analytics portfolio of actionable insights which directly affect and improve business processes. Scoring – i.e. profitability or risk.

Analytics 54

Analytics Machine Learning Data-driven Data Science 54

Smarten

JULY 10, 2018

This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools.

Analytics 40

Analytics Forecasting Statistics Sales 40

datapine

NOVEMBER 27, 2019

This is one of the major trends chosen by Gartner in their 2020 Strategic Technology Trends report , combining AI with autonomous things and hyperautomation, and concentrating on the level of security in which AI risks of developing vulnerable points of attacks. Share the essential business intelligence trends among your team!

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

NOVEMBER 26, 2023

Self-serve business intelligence provides an analytics approach that is accessible to business users. This approach to analytics offers many benefits to the business and to its business users and stakeholders.

Business Intelligence 40

Business Intelligence Data-driven Reporting Advertising 40

Smarten

JUNE 25, 2018

Business Benefit: By checking Q1, Q3 and Inter quartile range (Q3-Q1) values of each step of the process, the owner can determine which particular step has a scope of time reduction. Business Problem: A stock broker wants to analyze the price volatility of a stock as a measure of risk. 5) Standard Deviation/Variance.

Statistics 40

Statistics Enterprise Measurement Business Intelligence 40

Jet Global

JUNE 22, 2023

BI and analytics are both umbrella terms referring to a type of data insight software. Many providers use them interchangeably, but some use them in conjunction, claiming to offer both business intelligence and business analytics. One school of thought distinguishes BI and business analytics along these past/future lines.

Analytics 52

Analytics Business Intelligence Reporting Sales 52