CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence (BI) analysts transform data into insights that drive business value. This is done by mining complex data using BI software and tools , comparing data to competitors and industry trends, and creating visualizations that communicate findings to others in the organization.

Business Intelligence 125

Business Intelligence Data-driven Statistics Data Warehouse 125

CIO Business Intelligence

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Smarten

JUNE 27, 2018

How Can SVM Classification Analysis Benefit Business Analytics? Let’s examine two business use cases where SVM Classification can benefit the organization. Fraud Analysis – Based on various bills submitted for employee reimbursement for food, travel, medical expenses etc., Use Case – 1. About Smarten.

Business Analytics 40

Business Analytics Analytics IT Business Intelligence 40

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

FineReport

MAY 23, 2021

FineReport is a report-making software designed for enterprises to deal with the needs for various, frequent, or complex reports. It has been recognized in the Honorable Mention of the 2021 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms. Price: Free for personal use; Quote-based Plan for enterprise use.

Software 98

Software Reporting Dashboards Visualization 98

Smarten

MAY 20, 2019

Augmented Analytics Tools to Support Business Users and the Organization! Data Science and Predictive Analytics must be made simple, but based on sophisticated features that will enable data modeling and predictive analytics technique.

Predictive Analytics 64

Predictive Analytics Data Science Analytics Visualization 64

datapine

AUGUST 21, 2019

This gives to that sales graph an overall sense of visual contrast which makes it much more digestible at a glance. This most essential of sales graph templates offers a linear visualization of incremental sales success over time, coupled with a quick-glance snapshot of campaign revenue by channel. click to enlarge**.

Sales 235

Sales Dashboards KPI Visualization 235

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

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 77

Data Science Data Analytics Prescriptive Analytics Analytics 77

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

FineReport

MARCH 24, 2024

They analyze, interpret, and manipulate complex data, track key performance indicators, and present insights to management through reports and visualizations. Technically, analysts must excel in numerical and analytical skills, advanced Excel usage, and an understanding of relational databases like MS Access.

Statistics 52

Statistics Data mining Visualization Reporting 52

FineReport

JULY 6, 2022

Power BI is a business analytics tool that helps enterprises handle the data from multiple sources, turning data into interactive insights through data visualization. It leverages many of the same features available in Excel, so users with Office experience will find it easy to adapt to this visualization tool.

Dashboards 52

Dashboards Visualization Business Intelligence Reporting 52

Cloudera

FEBRUARY 25, 2021

Today’s enterprise data science teams have one of the most challenging, yet most important roles to play in your business’s ML strategy. In our current landscape, businesses that have adopted a successful ML strategy are outperforming their competitors by over 9%. The implications of ML on the future of business are clear.

Deep Learning 85

Deep Learning Machine Learning Forecasting Visualization 85

FineReport

AUGUST 11, 2021

Metrics are an important criterion for judging the operation of various departments of an enterprise. Business dashboard highlights various business metrics. Users can find corresponding business dashboards according to their needs, clearly seeing business metrics and further assisting their work. Time-saving.

Dashboards 52

Dashboards Metrics Sales Visualization 52

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? Use Case – 2.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

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

How Can the Enterprise Use Simple Linear Regression to Analyze Data? Business Problem: An eCommerce company wants to measure the impact of product price on product sales. This method of analysis can handle only two variables, namely one predictor and one dependent variable. Use Case – 1.

Enterprise 40

Enterprise Sales Statistics Business Intelligence 40

AWS Big Data

FEBRUARY 16, 2023

Amazon Redshift is the most widely used data warehouse in the cloud, best suited for analyzing exabytes of data and running complex analytical queries. Amazon QuickSight is a fast business analytics service to build visualizations, perform ad hoc analysis, and quickly get business insights from your data.

Data Warehouse 81

Data Warehouse Sales Visualization Data Processing 81

FineReport

OCTOBER 21, 2019

With business intelligence(BI) tools play a more critical role in the enterprises, the technology is poised for an oversized effect in the coming year. BI software assists businesses with data display and analytics to help companies discover the situations, market challenges, as well as the chance. Big Data Platform .

Visualization 91

Visualization Cost-Benefit Dashboards Software 91

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.

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 52

Smarten

JUNE 29, 2018

How Can KNN Classification Help an Enterprise? Credit/Loan Approval Analysis – Given a list of client transactional attributes, the business can predict whether a client will default on a bank loan. KNN Classification analysis can be useful in evaluating many types of data.

Enterprise 40

Enterprise Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 29, 2018

How Can Naïve Bayes Be 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.

Enterprise 40

Enterprise IT Business Intelligence Forecasting 40

Smarten

APRIL 18, 2019

Talk to any business colleague or pick up any technology analyst article and you will find plenty of discussion about the current use of data analytics tools and impressive predictions about the growth of this market. Data Analytics is not just for data scientists! There is a reason for that popularity and growth!

Software 51

Software Data Analytics Analytics Forecasting 51

Smarten

JUNE 17, 2022

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

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. Advanced Data Discovery allows business users to quickly and easily prepare and analyze data and visualize and explore data.

Predictive Modeling 63

Predictive Modeling Statistics Visualization Business Analytics 63

BizAcuity

NOVEMBER 26, 2019

There are several reporting tools and platforms available today, and enterprises usually choose the one that is best suited for their business needs. It helps in transforming enterprise data into rich visuals. It also offers a more visual and interactive UI for the reports. SSRS and Microsoft Power BI. Native Mode.

Recreation/Entertainment 84

Recreation/Entertainment Reporting Interactive Data Processing 84

datapine

APRIL 14, 2022

A few years later and with the advancement of AR technology, the retail enterprise decided to mutate their app into a new one called IKEA studio. Being a large enterprise, Netflix deals with massive amounts of data from its over 150 million subscribers. Behind the scenes. 9) Checking In And Out With Your Smartphone.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

BizAcuity

NOVEMBER 27, 2019

There are several reporting tools and platforms available today, and enterprises usually choose the one that is best suited for their business needs. It helps in transforming enterprise data into rich visuals. It also offers a more visual and interactive UI for the reports. SSRS AND MICROSOFT POWER BI. Native Mode.

Recreation/Entertainment 52

Recreation/Entertainment Reporting Interactive Data Processing 52

BizAcuity

NOVEMBER 27, 2019

There are several reporting tools and platforms available today, and enterprises usually choose the one that is best suited for their business needs. It helps in transforming enterprise data into rich visuals. It also offers a more visual and interactive UI for the reports. SSRS AND MICROSOFT POWER BI. Native Mode.

Recreation/Entertainment 52

Recreation/Entertainment Reporting Interactive Data Processing 52

Smart Data Collective

AUGUST 7, 2019

With the right log management tool, IT admins can easily access ready-made dashboards and generate reports which visualize essential events that lead to pre-emptive actions and sound decisions. There are open source and enterprise-level platforms available for companies to adopt. Big Data is Simplifying Many Business Management Tasks.

Data Analytics 99

Data Analytics Analytics Big Data Data Lake 99

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

Birst BI

JANUARY 16, 2018

For the vast majority of information workers, this is the definition of self-service analytics. But to build that dashboard, someone has to assemble all the components, the key performance indicators (KPIs), the data visualizations, and all of the dashboard’s data feeds. The barrier of entry to BI remains high.

Data-driven 70

Data-driven Analytics Dashboards Machine Learning 70

Smarten

JUNE 28, 2018

Business Problem: The enterprise wishes to organize customers into groups/segments based on similar traits, product preferences and expectations. 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 Risk 40

BizAcuity

APRIL 1, 2023

There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics. Exploratory Data Analysis (EDA) EDA is used to analyze data and summarize their main properties and characteristics using visual techniques.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

BizAcuity

JANUARY 18, 2023

There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics. EDA is used to analyze data and summarize their main properties and characteristics using visual techniques. Predictive Analytics. Exploratory Data Analysis (EDA).

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

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