CIO Business Intelligence

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. In business analytics, this is the purview of business intelligence (BI).

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

datapine

AUGUST 14, 2019

The use of machine learning, predictive analytics, and various data connectors that enable the user to work with enormous amounts of databases, flat files, marketing analytics, CRM, etc., There are also numerous business intelligence examples that illustrate what kind of value it can bring to the business bottom line.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

DataKitchen

JANUARY 17, 2022

A large pharmaceutical Business Analytics (BA) team struggled to provide timely analytical insight to its business customers. However, the BA team spent most of its time overcoming error-prone data and managing fragile and unreliable analytics pipelines. . The Challenge. Requirements continually change.

Experimentation 130

Experimentation Data Lake Predictive Modeling Marketing 130

Smarten

JUNE 17, 2022

Smarten announces the recent certification of its Smarten Augmented Analytics Software product by CERT-IN. 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 69

Analytics IT Business Intelligence Predictive Modeling 69

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.

Business Analytics 40

Business Analytics Analytics IT Business Intelligence 40

Smarten

JANUARY 27, 2023

Smarten has announced the launch of Predictive Model Mark-Up Language (PMML) Integration capability for its Smarten Augmented Analytics suite of products. Simply create the predictive model, using your favorite platform, export the model as a PMML file and import that model to Smarten.

Predictive Modeling 52

Predictive Modeling Analytics Predictive Analytics Business Intelligence 52

Smarten

JULY 26, 2022

Smarten is pleased to announce the launch of its Mobile Application for Smarten Augmented Analytics. Smarten CEO, Kartik Patel says, “The availability of Smarten augmented analytics on a mobile device encourages user adoption and provides support for business intelligence investments and data democratization.”

Analytics 74

Analytics Key Performance Indicator Business Intelligence Dashboards 74

Smarten

OCTOBER 25, 2017

As the concept of business analytics becomes more main stream and business users embrace the possibilities, they (and their managers) want and expect even more tools and more potential. The Next, Even Better Gift: Advanced Data Discovery Tools! Have you ever noticed that when you give someone something, they often want more?

Predictive Modeling 63

Predictive Modeling Statistics Visualization Business Analytics 63

Cloudera

NOVEMBER 18, 2020

Each of our winners demonstrated the impact their projects have within their organization, on their business’ bottom line, and on the world. . It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. What a fantastic 24-hours it has been here at Cloudera.

Internet Publishing and Broadcasting 123

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 123

Smarten

JUNE 27, 2018

That focus will help the business to select the right method of analysis, graphing or plotting to reveal the results they need to see and understand. 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 Statistics 40

Smarten

JUNE 29, 2018

This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. Let’s look at a business use case to illustrate the benefit of the ARIMAX Forecasting method. What is ARIMAX Forecasting? How Can ARIMAX Forecasting Be Used for Enterprise Analysis?

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

Smarten

JUNE 26, 2018

This article provides a brief explanation of the ARIMA method of analytical forecasting. Autoregressive Integrated Moving Average (ARIMA) predicts future values of a time series using a linear combination of its past values and a series of errors. p: to apply autoregressive model on series. What is ARIMA Forecasting?

Forecasting 40

Forecasting Enterprise IT Sales 40

Smarten

JUNE 21, 2018

This article provides a brief explanation of the Holt-Winters Forecasting model and its application in the business environment. 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.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

Smarten

JUNE 29, 2018

In this article, we will discuss the Binary Logistic Regression Classification method of analysis, and how it can be used in business. Binary Logistic Regression Classification makes use of one or more predictor variables that may be either continuous or categorical to predict the target variable classes. Use Case – 1.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 29, 2018

This article explains the Karl Pearson Correlation method of analysis, and how it can be applied in business. What is the Karl Pearson Correlation Analytical Technique? Correlation is a statistical measure that indicates the extent to which two variables fluctuate together. must be converted to numeric ranking, i.e., 1,2,3,4,5.

Enterprise 40

Enterprise Statistics IT Business Intelligence 40

Smarten

JUNE 28, 2018

This article discusses the analytical method of Hierarchical Clustering and how it can be used within an organization for analytical purposes. 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 Statistics 40

Smarten

JUNE 29, 2018

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. What is Multiple Linear Regression Analysis?

Business Analysis 40

Business Analysis IT Sales Statistics 40

Smarten

APRIL 12, 2023

About Smarten 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.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

Smarten

JUNE 29, 2018

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. What is Spearman’s Rank Correlation?

Business Analysis 40

Business Analysis IT Measurement Statistics 40

BizAcuity

APRIL 1, 2023

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. By leveraging predictive analytics, organizations can proactively identify and prevent money laundering before it occurs.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

BizAcuity

JANUARY 18, 2023

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 modeling for flagging suspicious activity. How Machine Learning Helps Detect and Prevent AML.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Smarten

JUNE 29, 2018

The Naive Bayes classifier assumes that every feature/predictor is independent, which is not always the case, so it is important to understand the type of data you are analyzing before choosing this, or any other, analytical technique. an organization can predict if it will be rainy/sunny/windy tomorrow. in diameter. About Smarten.

Enterprise 40

Enterprise IT Business Intelligence Forecasting 40

Smarten

APRIL 19, 2022

Smarten is pleased to announce the addition of Sentiment Analysis features and functionality to its innovative, augmented analytics solution. 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.

Slice and Dice 59

Slice and Dice Business Intelligence Advertising Predictive Modeling 59

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. But there should be much difference between an object in group 1 and group 2. Use Case – 2.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

Smarten

JUNE 26, 2018

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. What is the Multinomial-Logistic Regression Classification Algorithm?

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

IBM Big Data Hub

OCTOBER 5, 2022

IBM Planning Analytics, or TM1 as it used to be known, has always been a powerful upgrade from spreadsheets for all kinds of planning and reporting use cases, including financial planning and analysis (FP&A), sales & operations planning (S&OP), and many aspects of supply chain planning (SCP).

Analytics 52

Analytics Forecasting Predictive Modeling Manufacturing 52

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. 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.

Testing 40

Testing Statistics IT Business Intelligence 40

Smarten

JUNE 29, 2018

Here, the dependent variable would be ‘Purchase Amount’ Business Benefit: Once the test is completed, a p-value is generated which indicates whether there is a statistical difference between the purchase amounts of both segments.

Testing 40

Testing Statistics IT Business Intelligence 40

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Smarten

JUNE 29, 2018

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. So, Support (x -> y)= no. of transactions.

Business Analysis 40

Business Analysis IT Business Intelligence Sales 40

Smarten

FEBRUARY 14, 2019

In a world where data analytics is more important than ever to the business bottom line and competitive position, the typical business cannot afford to hire dozens of data scientists but it absolutely must have access to detailed, clear data analysis that will drive the bottom line and ensure success.

Analytics 40

Analytics Predictive Modeling Business Intelligence Visualization 40

Smarten

JUNE 27, 2018

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.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

NOVEMBER 8, 2022

This self-paced, online Citizen Data Scientist course can help businesses make the most of the Citizen Data Scientist experience by providing foundational training for business users who are Citizen Data Scientist candidate. It is intended for business and technology users and team members within the business environment. “By

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 52

Cloudera

NOVEMBER 2, 2020

The factors driving this trend are part technical, part business, and part cultural. On the business side, companies and governments are digitizing and automating as many of their operations as possible so decision making and asset management can be more effective. Ingest 100s of TB of network event data per day .

Data Warehouse 97

Data Warehouse Dashboards Optimization Interactive 97

Smarten

JUNE 29, 2018

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 Testing Statistics Advertising 40

FineReport

APRIL 9, 2024

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making. When comparing leading BI tools, it is crucial to assess these aspects thoroughly.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Cloudera

APRIL 27, 2021

Fiber and connectivity is table stakes in the cable business, and more homes need to be passed by the network in order to persist growth. But no matter how profitable that business, it remains a commodity game, where consumers change at every opportunity they can. It’s all in the data! You can find me at [link].

Recreation/Entertainment 69

Recreation/Entertainment Advertising IoT Predictive Modeling 69