datapine

JANUARY 6, 2022

More often than not, it involves the use of statistical modeling such as standard deviation, mean and median. Let’s quickly review the most common statistical terms: Mean: a mean represents a numerical average for a set of responses. Standard deviation: this is another statistical term commonly appearing in quantitative analysis.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

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. About Smarten.

IT 40

IT Business Intelligence Predictive Modeling Risk 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. 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.

IT 40

IT Business Intelligence Predictive Modeling Testing 40

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.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

datapine

MARCH 25, 2022

While some experts try to underline that BA focuses, also, on predictive modeling and advanced statistics to evaluate what will happen in the future, BI is more focused on the present moment of data, making the decision based on current insights. We already saw earlier this year the benefits of Business Intelligence and Business Analytics.

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 each applicant is eligible for based on the amount of risk involved. Use Case – 2. About Smarten.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

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. About Smarten.

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. About Smarten.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

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? Again, check out the Critical Capabilities for BI and Analytic Platforms for how each vendor compares. Enjoy your summer!!

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

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. This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative.

Analytics 166

Analytics Internet of Things Prescriptive Analytics Data Science 166

Domino Data Lab

JULY 22, 2019

He was saying this doesn’t belong just in statistics. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. Those workflows would feedback into your business analytics. You see these drivers involving risk and cost, but also opportunity.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

AWS Big Data

NOVEMBER 29, 2023

With Redshift, we are able to view risk counterparts and data in near real time— instead of on an hourly basis. Redshift significantly improved our business ROI efficiency.” – PengBo Yang, CTO, JOYME Data pipelines can be challenging and costly to build and manage and can create hours-long delays to obtain transactional data for analytics.

Data Warehouse 104

Data Warehouse Data Lake Analytics Machine Learning 104

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. What is the point of those obvious statistical inferences? Let’s define what these are.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

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 Science Data-driven 54

Peter James Thomas

AUGUST 12, 2018

Integrity of statistical estimates based on Data. Having spent 18 years working in various parts of the Insurance industry, statistical estimates being part of the standard set of metrics is pretty familiar to me [7]. The thing with statistical estimates is that they are never a single figure but a range. million ± £0.5

Metrics 49

Metrics Statistics Data Quality Measurement 49

FineReport

APRIL 11, 2023

Data Visualizations : Dashboards are configured with a variety of data visualizations such as line and bar charts, bubble charts, heat maps, and scatter plots to show different performance metrics and statistics. Financial dashboards are useful for monitoring business performance and for financial planning and analysis.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 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”. However, due to its vast application, predictive analytics should not concern only business professionals.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Smarten

JULY 10, 2018

Paired Sample T Test: What is the Paired Sample T Test and How is it Beneficial to Business Analysis? Use Case(s): Manufacturing unit manager analyzes statistical significance of cycle time difference, pre and post process change, determine whether sales increased following a particular campaign and more. About Smarten.

Analytics 40

Analytics Forecasting Statistics Sales 40

Smarten

JUNE 25, 2018

This article provides a brief explanation of the definition and uses of the Descriptive Statistics algorithms. What is a Descriptive Statistics? Descriptive statistics helps users to describe and understand the features of a specific dataset, by providing short summaries and a graphic depiction of the measured data.

Statistics 40

Statistics Enterprise Measurement Business Intelligence 40

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. What is data democratization?

Business Intelligence 40

Business Intelligence Data-driven Reporting Advertising 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

datapine

MAY 17, 2021

Smart Data Discovery Or Augmented Intelligence: Discover The Next Stage In Business Analytics. The final aim of the data cleaning stage is to avoid the risks of working with misleading data that can damage your business. Your Chance: Want to test a professional data discovery tool for free? We offer a 14 day free trial.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

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

Jet Global

SEPTEMBER 26, 2023

These statistics underscore the importance of addressing transparency issues, implementing effective data cleansing processes, and proactively closing the skills gap in SAP data management to ensure data reliability and effectiveness in decision-making. Angles can help cleanse company SAP data.

Data Quality 52

Data Quality Reporting Management Software 52

Jet Global

MAY 9, 2024

Finance organizations can then leverage advanced analytics and machine learning applications to gain valuable insights for strategic planning and risk management. This data is transformed, cleansed, and loaded into a data lake or warehouse for analysis.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52