Smarten

JUNE 27, 2018

the organization can predict the likelihood of an employee submitting fraudulent expenses. How Can SVM Classification Analysis Benefit Business Analytics? Let’s examine two business use cases where SVM Classification can benefit the organization. Use Case – 1. About Smarten.

Business Analytics 40

Business Analytics Analytics IT Business Intelligence 40

BizAcuity

JANUARY 18, 2023

AML regulations and procedures help organizations identify, monitor, and report suspicious transactions and provide an additional layer of protection against financial crime. There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Smarten

NOVEMBER 8, 2022

“By the end of this course, participants will understand the role and value of Citizen Data Scientists and the benefits to the organization, as well as the integration points and cultural shifts that will position analytical professionals and Citizen Data Scientists to work more productively,” Patel says. About Smarten.

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 52

Smarten

JUNE 29, 2018

’ ARIMAX is related to the ARIMA technique but, while ARIMA is suitable for datasets that are univariate (see the article, entitled’ What is ARIMA Forecasting and How Can it Be Used for Enterprise Analysis?’). How Can ARIMAX Forecasting Be Used for Enterprise Analysis?

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

Cloudera

OCTOBER 4, 2023

On top of these core critical capabilities, we also need the following: Petabyte and larger scalability — particularly valuable in predictive analytics use cases where high granularity and deep histories are essential to training AI models to greater precision.

Data Warehouse 86

Data Warehouse Experimentation Cost-Benefit Dashboards 86

Jet Global

JULY 11, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. We’ll explain what it is, how it works, and ways to start using demand forecasting with business intelligence software.

Business Intelligence 72

Business Intelligence Forecasting Data Warehouse Predictive Analytics 72

Smarten

APRIL 12, 2023

Smarten announces the launch of SnapShot Anomaly Monitoring Alerts for Smarten Augmented Analytics. SnapShot Monitoring provides powerful data analytical features that reveal trends and anomalies and allow the enterprise to map targets and adapt to changing markets with clear, prescribed actions for continuous improvement.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

Smarten

JULY 26, 2022

.” Business Users have access to dashboards, reports and Clickless Analytics – Google-type Natural Language Processing (NLP) Search functionality. Users can share reports and data via WhatsApp, email, chat or other content sharing apps on mobile devices, encouraging information sharing and collaboration.

Key Performance Indicator 74

Key Performance Indicator Analytics Business Intelligence Dashboards 74

Smarten

JUNE 26, 2018

How Can the ARIMA Forecasting Method Be Used for Enterprise Analysis? Business Problem: A pharmaceutical company wants to predict the sales of a drug for the next two months, based on drug sales data from the past 12 months. It converts non-stationary data to stationary to allow for a fairly constant level over time.

Forecasting 40

Forecasting Enterprise IT Sales 40

Smarten

JUNE 29, 2018

How Can the Karl Pearson Correlation Method Be Used to Target Enterprise Analytical Needs? Business Problem: A bank wants to find the correlation between income and credit card delinquency rate of credit card holders. must be converted to numeric ranking, i.e., 1,2,3,4,5.

Enterprise 40

Enterprise IT Statistics Business Intelligence 40

Smarten

JUNE 29, 2018

Here is a sample of simple linear regression analysis, considering the effects of temperature on crop yield: Simple linear regression is limited to predicting numeric output i.e., dependent variable has to be numeric in nature. How Can the Enterprise Use Simple Linear Regression to Analyze Data? Use Case – 1.

Enterprise 40

Enterprise Sales Statistics Business Intelligence 40

FineReport

MARCH 24, 2024

By conducting extensive research and analysis, they generate reports that inform strategic decisions, identify areas for enhancement, and guide the implementation of new initiatives. Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios.

Statistics 52

Statistics Data mining Visualization Reporting 52

Smarten

JUNE 29, 2018

As the majority class = Good for the three nearest neighbors (two out of three records have class = Good), predicted class of an instance = Good, i.e. quality of a paper tissue having acid durability =3 and strength =7 is good. How Can KNN Classification Help an Enterprise?

Enterprise 40

Enterprise Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 25, 2018

This method is used to find groups that have not been explicitly labeled in the data, and it can be used to confirm business assumptions about what types of groups exist, or to identify unknown groups in complex data sets. How Does an Enterprise Use the KMeans Clustering Algorithm to Analyze Data?

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

Smarten

JUNE 21, 2018

How Can Holt-Winters Forecasting Be Used for Enterprise Analysis? Business Benefit : A power generator company can make use of these forecasts for the control and scheduling of power systems or power purchase agreements. It helps in balancing supply and demand.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

Smarten

JUNE 29, 2018

How Can Naïve Bayes Be Used for Enterprise Analysis? an organization can predict if it will be rainy/sunny/windy tomorrow. Naïve Bayes performs well in cases of categorical input variables compared to numerical variables. For numerical variable, normal distribution is assumed which is a strong assumption.

Enterprise 40

Enterprise IT Business Intelligence Forecasting 40

Cloudera

JANUARY 5, 2021

To enable these business capabilities requires an enterprise data platform to process streaming data at high volume and high scale, to manage and monitor diverse edge applications, and provide data scientists with tools to build, test, refine and deploy predictive machine learning models. .

Forecasting 91

Forecasting Cost-Benefit Sales Unstructured Data 91

Smarten

DECEMBER 3, 2023

Let’s look at some of the reasons business intelligence (BI) and augmented analytics are important to your business and the benefits this type of solution can provide for your enterprise. Giving your team the right tools and a simple way to manage the overwhelming flow of data is crucial to business success.’

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

Smarten

APRIL 19, 2022

Smarten Sentiment Analysis is simple enough for business users and allows every enterprise to democratize data, improve data literacy and cascade analytics to every team and every user in the organization. Original Post : Smarten Announces Sentiment Analysis Capability Designed for Business Users! About Smarten.

Slice and Dice 57

Slice and Dice Business Intelligence Advertising Predictive Modeling 57

Smarten

JUNE 17, 2022

Contact the Smarten team for more information on Smarten Augmented Analytics solution. The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

Smarten

JUNE 25, 2018

How Does One Choose the Right Descriptive Statistics Algorithm for Enterprise Analysis? Business Problem: Find out the average age and income for a particular type of product category purchased. Let’s look at a few use cases for the various types of descriptive statistics. 1) Mean/Median.

Statistics 40

Statistics Enterprise Measurement Business Intelligence 40

Jet Global

OCTOBER 1, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. We’ll explain what it is, how it works, and ways to start using demand forecasting with business intelligence software.

Business Intelligence 40

Business Intelligence Forecasting Data Warehouse Predictive Analytics 40

Sisense

JULY 6, 2020

Sisense recently surveyed 500 companies to understand how they leverage data and analytics usage and the impact on future plans; the results reinforce how critical analytics are to businesses during times of crisis. Analytics are essential in a crisis. This can be disorienting but also empowering.

Data-driven 81

Data-driven Uncertainty Reporting Analytics 81

Smarten

JUNE 28, 2018

Business Problem: The enterprise wishes to organize customers into groups/segments based on similar traits, product preferences and expectations. Use Case – 2. Segments are constructed based on customer demographic characteristics, psychographics, past behavior and product use behavior. About Smarten.

IT 40

IT Business Intelligence Predictive Modeling Risk 40

Cloudera

JANUARY 14, 2021

Retail grocers are committed to doing better, but food waste is still such a pervasive problem that only one supermarket chain earned a B on the food waste “report card” recently issued by the Center for Biological Diversity. Just a handful of chains earned Cs, while the rest of the country’s most recognizable grocery stores scored Ds or Fs.

Cost-Benefit 70

Cost-Benefit Digital Transformation Sales IoT 70

Grooper

AUGUST 19, 2019

Modern era business stakeholders need current and relevant insights from across business units and processes. Traditional data sources like end of month statements and quarterly reports are no longer enough. Access to enterprise-wide information fuels analytics solutions and enable a new approach for decision making.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Smarten

JUNE 29, 2018

Multiple linear regression models are useful in helping an enterprise to consider the impact of multiple independent predictors and variables on a dependent variable, and can be beneficial for forecasting and predicting results. About Smarten.

Business Analysis 40

Business Analysis IT Sales Statistics 40

Smarten

JUNE 20, 2018

A basic understanding of the types and uses of trend and pattern analysis is crucial, if an enterprise wishes to take full advantage of these analytical techniques and produce reports and findings that will help the business to achieve its goals and to compete in its market of choice. About Smarten.

Forecasting 40

Forecasting Statistics Business Intelligence Predictive Modeling 40

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

Smarten

JUNE 29, 2018

This article describes the Spearman’s Rank Correlation and how it is used for enterprise analysis. The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Business Analysis 40

Business Analysis IT Measurement Statistics 40

Smarten

JUNE 26, 2018

This technique is used to determine if the relationship exists between any two business parameters that are of categorical data type. An enterprise might also use Chi Square to determine if there is a relationship between the region in which a product is purchased, and the product or category of product that is purchased.

Testing 40

Testing Statistics IT Business Intelligence 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.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Smarten

JUNE 27, 2018

The Decision Tree analysis technique is useful in classifying and segmenting markets, types of customers and other categories in order to make decisions on where to focus enterprise resources. About Smarten.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Rita Sallam

JULY 22, 2016

And here we are now, past the tipping point of a more than 10 to 11 year transition away from IT-centric reporting platforms to modern BI and analytics platforms that make up much of the new buying in the BI and Analytics market. Because modern BI platforms allow IT to deliver content to business people faster.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Smarten

SEPTEMBER 15, 2017

Every enterprise is talking about Business Intelligence and Advanced Analytics. Every enterprise has considered the benefits of implementing self-serve analytics across the organization and involving business users in the process. What kind of statistical data, report capability and security will you need?

Analytics 40

Analytics Statistics Data Governance Cost-Benefit 40

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.” But for most enterprise, using machine learning…not really. They would’ve said, “You know what?

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

datapine

JANUARY 6, 2022

Based on that amount of data alone, it is clear the calling card of any successful enterprise in today’s global world will be the ability to analyze complex data, produce actionable insights and adapt to new market needs… all at the speed of thought. Business dashboards are the digital age tools for big data. trillion gigabytes!

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246