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

MAY 27, 2020

While many companies struggle to leverage an effective business intelligence strategy, the importance of analytical information created a fluctuation of data that cannot be simply collected into a single spreadsheet. What Is An Analytical Report? Let’s get started.

Reporting 245

Reporting Analytics Dashboards Sales 245

datapine

JANUARY 6, 2022

More often than not, it involves the use of statistical modeling such as standard deviation, mean and median. Data analysis and interpretation have now taken center stage with the advent of the digital age… and the sheer amount of data can be frightening. In fact, a Digital Universe study found that the total data supply in 2012 was 2.8

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

CIO Business Intelligence

JANUARY 20, 2023

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions. This gets to the heart of the question of who business intelligence is for.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

CIO Business Intelligence

OCTOBER 26, 2023

It’s a role that combines hard skills such as programming, data modeling, and statistics with soft skills such as communication, analytical thinking, and problem-solving.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

Data Science 101

APRIL 12, 2019

While data science is unquestionably a fantastic career path regarding the impressive ratings and the fact that it is such an in-demand job, statistics show that there will be no slowing down for the surprisingly rapid increase for the demand of data scientists around the globe. This company is great for business analytics.

Statistics 110

Statistics Data Science Machine Learning Software 110

CIO Business Intelligence

OCTOBER 7, 2022

Certified Business Intelligence Professional IBM Data Analyst Professional Certificate Microsoft Certified: Power BI Data Analyst Associate QlikView Business Analyst SAP Certified Application Associate: SAP BusinessObjects Business Intelligence Platform 4.3 SAS Certified Specialist: Visual Business Analytics Specialist.

Business Intelligence 145

Business Intelligence Data Warehouse Visualization Dashboards 145

Analytics Vidhya

FEBRUARY 28, 2023

Each aspect of data science, like data preparation, the importance of big data, and the process of automation, contributes to how data science is the future […] The post 30 Best Data Science Books to Read in 2023 appeared first on Analytics Vidhya. Introduction Data science has taken over all economic sectors in recent times.

Data Science 353

Data Science Big Data Analytics IT 353

Smart Data Collective

DECEMBER 14, 2021

More people are online today than ever before, so online tracking is inevitably used to obtain statistics and data for websites. Analyzing these statistics will help teams decide what needs to be addressed or what is working well for the site. There are a lot of tools that make it easier to gather and categorize customer data.

Data Collection 134

Data Collection Statistics Data-driven Marketing Analytics 134

FineReport

JUNE 11, 2021

As we mentioned earlier in the article of BI Reporting , Business Intelligence(BI) can be broadly referred to as a process of managing data and delivering messages from data. Business Analytics. What is the difference between business intelligence and analytics? Sometimes, people use them interchangeably.

Business Intelligence 98

Business Intelligence Analytics Dashboards Statistics 98

Smart Data Collective

MAY 8, 2022

By combining big data and AI together, companies can improve their business performance in the following ways: Analyzing consumer behavior Customer segmentation automation Personalizing marketing campaigns Customer retention and acquisition Intelligent decision support systems powered by AI and big data. Business analytics.

Big Data 122

Big Data Data Analytics Analytics Statistics 122

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

Smarten

JUNE 17, 2022

Smarten announces the recent certification of its Smarten Augmented Analytics Software product by CERT-IN. Contact the Smarten team for more information on Smarten Augmented Analytics solution. Original Post : Smarten Augmented Analytics Receives CERT-IN Certification for Its Products and Services! About Smarten.

Analytics 69

Analytics IT Business Intelligence Predictive Modeling 69

Jen Stirrup

SEPTEMBER 19, 2019

360 Orlando and I’m presenting a workshop on From Business Intelligence to Business Analytics with the Microsoft Data Platform. Data becomes relevant for decision making when we start to use it properly, so this workshop will demonstrate the use of analytics for real-life use cases. Power BI and Marketing Data.

Business Analytics 40

Business Analytics Analytics Statistics Dashboards 40

Smart Data Collective

JUNE 8, 2023

The Sports Analytics Market is expected to be worth over $22 billion by 2030. Data analytics can impact the sports industry and a number of different ways. The Evolution of Data Collection in Football Traditionally, football relied on basic statistics such as goals, assists, and possession percentages to evaluate performance.

Data Analytics 105

Data Analytics Analytics Data Collection Statistics 105

CIO Business Intelligence

MARCH 31, 2023

Business analysts are in high demand, with 24% of Fortune 500 companies currently hiring business analysts across a range of industries, including technology (27%), finance (13%), professional services (10%), and healthcare (5%), according to data from Zippia. It is designed for less experienced and entry-level business analysts.

Business Analysis 105

Business Analysis Business Analytics Testing Statistics 105

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 Data Science Prescriptive Analytics 166

Smart Data Collective

AUGUST 10, 2021

Here’s more on why data is so important for companies and the top 5 analytics tools they’re using this year to stay ahead of the curve and their competition. Marketing and business strategy benefit greatly from data. People who are interested in data and statistics can do very well in a data science or analytics career.

Analytics 132

Analytics Data-driven Data Science Advertising 132

Smart Data Collective

MAY 29, 2023

As a result of the benefits of business analytics , the demand for Data analysts is growing quickly. The Bureau of Labor Statistics reports that the role of research and data analysts is projected to grow as much as 23% in the next 8 years. That is a staggering increase in comparison to most other industries.

Data Collection 104

Data Collection Big Data Statistics Software 104

Smart Data Collective

OCTOBER 31, 2021

Analytics technology is incredibly important in almost every facet of business. Virtually every industry has found some ways to utilize analytics technology, but some are relying on it more than others. The e-commerce sector is among those that has relied most heavily on analytics technology. Price segment for goods.

Analytics 133

Analytics Data mining Analytics Technologies Predictive Analytics 133

datapine

FEBRUARY 9, 2024

4) How to Select Your KPIs 5) Avoid These KPI Mistakes 6) How To Choose A KPI Management Solution 7) KPI Management Examples Fact: 100% of statistics strategically placed at the top of blog posts are a direct result of people studying the dynamics of Key Performance Indicators, or KPIs. 3) What Are KPI Best Practices? What happens next?

KPI 221

KPI Management Key Performance Indicator Measurement 221

datapine

MAY 16, 2019

A sobering statistic if ever we saw one. While there’s no quickfire solution or definitive answer to this question, we can say that investing in data-driven solutions, reporting tools , and leveraging the power of restaurant analytics will help you succeed in this most cutthroat of industries. What Are Restaurant Analytics?

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

AWS Big Data

NOVEMBER 29, 2023

Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools. We have improved data lake query performance by integrating with AWS Glue statistics and introduce preview of incremental refresh for materialized views on data lake data to accelerate repeated queries.

Data Warehouse 127

Data Warehouse Analytics Data Lake Machine Learning 127

Smarten

AUGUST 9, 2017

If your role in business demands that you stay abreast of changes in business analytics, you are probably familiar with the term Smart Data Discovery. You may also have read the recent Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics’ , Published 27 July 2017, by Rita L.

Analytics 40

Analytics IT Statistics ROI 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. Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Smarten

JUNE 29, 2018

The independent sample t-test is a statistical method of hypothesis testing that determines whether there is a statistically significant difference between the means of two independent samples. This article focuses on the Independent Samples T Test technique of Hypothesis testing. About Smarten.

Testing 40

Testing Statistics IT Business Intelligence 40

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

Jen Stirrup

JUNE 20, 2020

My analysis is based on the Financial statements put forward by PASS using some basic metrics; until you do that piece, you can’t move forward to compare and contrast it with other data since you have not done your ‘descriptive statistical analysis’ first to ensure that the comparison is valid. The PASS BA footfall just didn’t add up.

Metrics 104

Metrics Business Analytics Data-driven Statistics 104

Smarten

JUNE 26, 2018

It is used to determine whether there is a statistically significant association between the two categorical variables. This technique is used to determine if the relationship exists between any two business parameters that are of categorical data type. This article describes chi square test of association and hypothesis testing.

Testing 40

Testing Statistics IT Business Intelligence 40

Smarten

JUNE 29, 2018

At 95% confidence level (5% chance of error): As p-value = 0.041 which is less than 0.05, there is a statistically significant difference between means of pre and post sample values. Business Problem: A grocery store sales manager wants to know whether daily sales have increased after an advertising campaign. About Smarten.

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

Smarten

JUNE 29, 2018

This article describes the analytical technique of multiple linear regression. Multiple Linear Regression is a statistical technique that is designed to explore the relationship between two or more variables (X, and Y). What is Multiple Linear Regression Analysis? About Smarten.

Business Analysis 40

Business Analysis IT Sales 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 29, 2018

Correlation is a statistical measure that indicates the extent to which two variables fluctuate together A positive correlation indicates the extent to which those variables increase or decrease in parallel. This article describes the Spearman’s Rank Correlation and how it is used for enterprise analysis. About Smarten.

Business Analysis 40

Business Analysis IT Measurement Statistics 40

FineReport

JUNE 11, 2021

As we mentioned earlier in the article of BI Reporting , Business Intelligence(BI) can be broadly referred to as a process of managing data and delivering messages from data. Business Analytics. What is the difference between business intelligence and analytics? Sometimes, people use them interchangeably.

Business Intelligence 52

Business Intelligence Analytics Dashboards Statistics 52

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? About Smarten.

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. This analytical forecasting method is suitable for instances when data is stationary/non stationary and is univariate, with any type of data pattern, i.e., level/trend/seasonality/cyclicity. What is ARIMA Forecasting? About Smarten.

Forecasting 40

Forecasting Enterprise IT Sales 40