CIO Business Intelligence

JULY 5, 2022

What is business analytics? Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. What is the difference between business analytics and business intelligence?

Business Analytics 122

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 122

Smart Data Collective

MAY 13, 2022

In addition, several enterprises are using AI-enabled programs to get business analytics insights from volumes of complex data coming from various sources. AI is undoubtedly a gamechanger for business intelligence. The time spent on analysis can affect daily business decisions and strategic actions.

Business Analytics 135

Business Analytics Analytics Unstructured Data Data-driven 135

CIO Business Intelligence

NOVEMBER 14, 2022

The concept of DSS grew out of research conducted at the Carnegie Institute of Technology in the 1950s and 1960s, but really took root in the enterprise in the 1980s in the form of executive information systems (EIS), group decision support systems (GDSS), and organizational decision support systems (ODSS). Parmenides Edios.

Data mining 125

Data mining Data-driven Statistics OLAP 125

Smarten

NOVEMBER 19, 2018

The process of predictive analytics has come far in the past decade. Today’s self-serve predictive analytics and forecasting tools are designed to support business users and data analysts alike. What is Predictive Analytics? Can Predictive Analytics Help You Achieve Business Objectives?

Business Objectives 40

Business Objectives Predictive Analytics Analytics Forecasting 40

datapine

MARCH 25, 2022

1) What Is Business Intelligence And Analytics? 4) How Do BI And BA Apply To Business? If someone puts you on the spot, could you tell him/her what the difference between business intelligence and analytics is? What’s the difference between Business Analytics and Business Intelligence?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. The data architect is responsible for visualizing and designing an organization’s enterprise data management framework.

Data Architecture 124

Data Architecture Data Warehouse Statistics Visualization 124

CIO Business Intelligence

JANUARY 25, 2024

With two decades of experience as a human resources leader, Deepa Subbaiah, a senior director for HR at Freshworks, has deep expertise in exploring how enterprise teams can get the most out of workplace tech, from first-generation SaaS applications in the early 2000s to today’s AI-powered chatbots. Make it appealing and relevant to me.”

Deep Learning 96

Deep Learning Cost-Benefit Statistics Manufacturing 96

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

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

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

CIO Business Intelligence

JANUARY 19, 2024

Companies are increasingly eager to hire data professionals who can make sense of the wide array of data the business collects. The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

CIO Business Intelligence

APRIL 11, 2024

Innovative digital tech like AI, automation, and data analytics help break down these silos, enabling better collaboration, faster decision-making, and more efficient resource allocation. This is how enterprises find themselves in painfully long transformation projects that have statistically high failure and abandonment rates.

Cost-Benefit 88

Cost-Benefit Predictive Analytics Data-driven Risk 88

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? About Smarten.

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

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 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 IT Statistics Business Intelligence 40

Smarten

JUNE 29, 2018

Simple Linear Regression is a statistical technique that attempts to explore the relationship between one independent variable (X) and one dependent variable (Y). This method helps a business to identify the relationship between X and Y and the nature and direction of that relationship. What is Simple Linear Regression? About Smarten.

Enterprise 40

Enterprise Sales Statistics Business Intelligence 40

FineReport

MARCH 24, 2024

Descriptive analytics: Assessing historical trends, such as sales and revenue. Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making. SAS automates statistical data analysis tasks and offers enhanced security features.

Statistics 52

Statistics Data mining Visualization Reporting 52

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

Smart Data Collective

AUGUST 10, 2021

. ‘Although companies in healthcare, IT and finance are some of the biggest investors in analytics technology, plenty of other sectors are investing in analytics as well. Analytics Becomes Major Asset to Companies Across All Sectors. The most significant benefit of statistical analysis is that it is completely impartial.

Data Analytics 135

Data Analytics Analytics Big Data Key Performance Indicator 135

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? About Smarten.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

CIO Business Intelligence

JUNE 14, 2023

Candidates are required to complete a minimum of 12 credits, including four required courses: Algorithms for Data Science, Probability and Statistics for Data Science, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization. The credential does not expire.

Big Data 124

Big Data Data Analytics Analytics Predictive Modeling 124

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? About Smarten.

Enterprise 40

Enterprise Business Intelligence Predictive Modeling Statistics 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. 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. About Smarten.

Enterprise 40

Enterprise IT Business Intelligence Forecasting 40

Jedox

JULY 31, 2018

We also took a first look at how fp&a and business intelligence professionals can start to derive tangible value from these technologies for Enterprise Performance Management. Analytic Evolution in Enterprise Performance Management. Analytic Evolution in Enterprise Performance Management.

Technology 44

Technology Prescriptive Analytics Machine Learning Business Intelligence 44

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 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

This article describes the Spearman’s Rank Correlation and how it is used for enterprise analysis. 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. About Smarten.

Business Analysis 40

Business Analysis IT Measurement Statistics 40

Smarten

JUNE 20, 2018

In prediction, the objective is to “model” all the components to some trend patterns to the point that the only component that remains unexplained is the random component. A stationary time series is one with statistical properties such as mean, where variances are all constant over time. Stationary/Stationarity. About Smarten.

Forecasting 40

Forecasting Statistics Business Intelligence Predictive Modeling 40

Smarten

JUNE 28, 2018

Business Problem: The enterprise wishes to organize customers into groups/segments based on similar traits, product preferences and expectations. The better the segment(s) chosen for targeting by a particular organization, the more successful the business will be in the market. Use Case – 2. About Smarten.

IT 40

IT Business Intelligence Predictive Modeling Risk 40

Smarten

JUNE 27, 2018

SVM Classification analysis can help organizations to predict outcomes, based on attributes and variables in the profile of a customer, a patient, a product or other subjects or targets that are crucial to enterprise success. About Smarten.

Business Analytics 40

Business Analytics Analytics IT Business Intelligence 40

datapine

NOVEMBER 5, 2019

According to Accenture, 89% of business innovators believe that that big data analytics will revolutionize business operations in the same way as the World Wide Web. Moreover, 57% of enterprise organizations currently employ a chief data officer, another study conducted by MicroStrategy. Interactivity.

Dashboards 220

Dashboards Cost-Benefit Sales Metrics 220

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

Sisense

SEPTEMBER 12, 2019

And every business – regardless of the industry, product, or service – should have a data analytics tool driving their business. Every business needs a business intelligence strategy to take it forward. . At this stage, you will need to plan your business goal. And it can do the same for you.

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

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

Rita Sallam

JULY 22, 2016

decline in traditional BI ( See: Market Share Analysis: Business Intelligence and Analytics Software, 2015 ). Because modern BI platforms allow IT to deliver content to business people faster. Summary of Differences Between Traditional and Modern Business Intelligence Platforms by Analytic Workflow Component.

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. Don’t become a failure statistic!

Analytics 40

Analytics Statistics Data Governance Cost-Benefit 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