ElegantJ BI

AUGUST 10, 2018

This article provides a brief explanation of the KMeans Clustering algorithm. What is the KMeans Clustering algorithm? The KMeans Clustering algorithm is a process by which objects are classified into number of groups so that they are as much dissimilar as possible from one group to another, and as much similar as possible within each group. KMeans Clustering is a grouping of similar things or data.

Data Discovery 130

Data Discovery Banking Business Intelligence Business Intelligence 130

Leading Agile

AUGUST 7, 2018

The Talk, The Presentation, and The White Paper. First, we’d like to thank all of you that were able to attend Mike’s talk at Agile 2018. We know that it was a a lot of information to digest, so we wanted to send you home with a little something extra to make sure that all the ideas and concepts remain fresh in your mind. That’s why we’re giving you his deck to take with you, and a white paper that will continue to build the case that a systems-first Transformation is tru

Agile 69

Agile 69

Agile Velocity

AUGUST 8, 2018

Summary. Why Organizational Agility is Necessary. The current rate of disruption and the increasing amount of global competition all contribute to what we now call a “VUCA” world: V olatile – Speed, magnitude, turbulence, and dynamics of change. U ncertain – Unclear about the present and hard to predict the future. C omplex – Multiple interdependencies amongst a globally interconnected world.

Agile 40

Agile Vision Innovation Change Management 40

ElegantJ BI

AUGUST 10, 2018

This article provides a brief explanation of the KMeans Clustering algorithm. What is the KMeans Clustering algorithm? The KMeans Clustering algorithm is a process by which objects are classified into number of groups so that they are as much dissimilar as possible from one group to another, and as much similar as possible within each group. KMeans Clustering is a grouping of similar things or data.

Data Discovery 130

Data Discovery Banking Business Intelligence Business Intelligence 130

Advertiser: Paycor

HR doesn’t exist in a vacuum. This work impacts everyone: from the C-Suite to your newest hire. It also drives results. Learn how to make it all happen in Paycor’s latest guide.

ElegantJ BI

AUGUST 10, 2018

This article provides a brief explanation of the KMeans Clustering algorithm. What is the KMeans Clustering algorithm? The KMeans Clustering algorithm is a process by which objects are classified into number of groups so that they are as much dissimilar as possible from one group to another, and as much similar as possible within each group. KMeans Clustering is a grouping of similar things or data.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Banking 130

ElegantJ BI

AUGUST 8, 2018

Small, Medium or Large, Business Intelligence is Critical to Your Business! When a business is looking for a business intelligence solution, the management team may believe that they must choose a solution that is designed for a particular size business. In so doing, that business may restrict itself and its users and miss out on critical features and functionality – all in the name of what it believes to be a scale issue.

Business Intelligence 130

Business Intelligence Business Intelligence Predictive Analytics Data Governance 130

ElegantJ BI

AUGUST 8, 2018

Small, Medium or Large, Business Intelligence is Critical to Your Business! When a business is looking for a business intelligence solution, the management team may believe that they must choose a solution that is designed for a particular size business. In so doing, that business may restrict itself and its users and miss out on critical features and functionality – all in the name of what it believes to be a scale issue.

Business Intelligence 130

Business Intelligence Business Intelligence Predictive Analytics Data Governance 130

ElegantJ BI

AUGUST 7, 2018

Is An Augmented Analytics Solution Right for My Organization? Self-Serve Data Preparation is a critical component of augmented analytics. If these terms seem foreign to you, just know that they represent the future of business analysis. As organizations adopt self-serve business analysis, the business user with average technology skills must be able to leverage tools that are sophisticated, yet easy to use.

Data Discovery 130

Data Discovery Business Analysis Business Analysis Monitoring 130

ElegantJ BI

AUGUST 7, 2018

Is An Augmented Analytics Solution Right for My Organization? Self-Serve Data Preparation is a critical component of augmented analytics. If these terms seem foreign to you, just know that they represent the future of business analysis. As organizations adopt self-serve business analysis, the business user with average technology skills must be able to leverage tools that are sophisticated, yet easy to use.

Data Discovery 130

Data Discovery Business Analysis Business Analysis Monitoring 130

Advertiser: ZoomInfo

Marketing technology is essential for B2B marketers to stay competitive in a rapidly changing digital landscape — and with 53% of marketers experiencing legacy technology issues and limitations, they’re researching innovations to expand and refine their technology stacks. To help practitioners keep up with the rapidly evolving martech landscape, this special report will discuss: How practitioners are integrating technologies and systems to encourage information-sharing between departments and pr

Innovation

ElegantJ BI

AUGUST 7, 2018

Is An Augmented Analytics Solution Right for My Organization? Self-Serve Data Preparation is a critical component of augmented analytics. If these terms seem foreign to you, just know that they represent the future of business analysis. As organizations adopt self-serve business analysis, the business user with average technology skills must be able to leverage tools that are sophisticated, yet easy to use.

Data Discovery 130

Data Discovery Business Analysis Business Analysis Monitoring 130

ElegantJ BI

AUGUST 6, 2018

Sometimes Self Service BI Software Isn’t Really Self-Serve! Today’s businesses and business users are more demanding than ever. No one has patience these days for tools, applications or products that offer no value or are frustrating or restrictive. So, when you hear the term ‘self-serve business intelligence’, you had better be sure you know whether the claim is valid before you choose a product.

Business Intelligence 130

Business Intelligence Business Intelligence Monitoring 130

ElegantJ BI

AUGUST 6, 2018

Sometimes Self Service BI Software Isn’t Really Self-Serve! Today’s businesses and business users are more demanding than ever. No one has patience these days for tools, applications or products that offer no value or are frustrating or restrictive. So, when you hear the term ‘self-serve business intelligence’, you had better be sure you know whether the claim is valid before you choose a product.

Business Intelligence 130

Business Intelligence Business Intelligence Monitoring 130

ElegantJ BI

AUGUST 6, 2018

Sometimes Self Service BI Software Isn’t Really Self-Serve! Today’s businesses and business users are more demanding than ever. No one has patience these days for tools, applications or products that offer no value or are frustrating or restrictive. So, when you hear the term ‘self-serve business intelligence’, you had better be sure you know whether the claim is valid before you choose a product.

Business Intelligence 130

Business Intelligence Business Intelligence Monitoring 130

Advertisement

ChatGPT has dominated boardroom conversations for months now. From drafting a stock trading program, to creating a SQL query to model data, there are practically no limits to the applications of the AI language model assistant. At ManageEngine, we have been working on our own AI-assistant, Zia. Zia is a fully-trained analytics assistant that can perform a range of functions such as creating and adding reports to dashboards, providing conversational support to data analysis, insight discovery, bu

ElegantJ BI

AUGUST 10, 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. There are numerous methods of descriptive statistics, including Mean, Median, and Mode methods of averaging data and percentile, quartile, skewness and standard deviation/variance me

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Visualization 130

ElegantJ BI

AUGUST 10, 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. There are numerous methods of descriptive statistics, including Mean, Median, and Mode methods of averaging data and percentile, quartile, skewness and standard deviation/variance me

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Visualization 130

ElegantJ BI

AUGUST 10, 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. There are numerous methods of descriptive statistics, including Mean, Median, and Mode methods of averaging data and percentile, quartile, skewness and standard deviation/variance me

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Visualization 130

ElegantJ BI

AUGUST 10, 2018

This article provides a brief explanation of the Holt-Winters Forecasting model and its application in the business environment. What is the Holt-Winters Forecasting Algorithm? The Holt-Winters algorithm is used for forecasting and It is a time-series forecasting method. Time series forecasting methods are used to extract and analyze data and statistics and characterize results to more accurately predict the future based on historical data.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Planning 130

Advertiser: MoEngage

Use data to turn one-off holiday shoppers into repeat buyers and effortlessly drive more sales throughout the year. Our guide will give you an in-depth understanding of what triggers your customers to buy and breaks down campaign examples from leading B2C brands.

ElegantJ BI

AUGUST 10, 2018

This article provides a brief explanation of the Holt-Winters Forecasting model and its application in the business environment. What is the Holt-Winters Forecasting Algorithm? The Holt-Winters algorithm is used for forecasting and It is a time-series forecasting method. Time series forecasting methods are used to extract and analyze data and statistics and characterize results to more accurately predict the future based on historical data.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Planning 130

ElegantJ BI

AUGUST 10, 2018

This article provides a brief explanation of the Holt-Winters Forecasting model and its application in the business environment. What is the Holt-Winters Forecasting Algorithm? The Holt-Winters algorithm is used for forecasting and It is a time-series forecasting method. Time series forecasting methods are used to extract and analyze data and statistics and characterize results to more accurately predict the future based on historical data.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Planning 130