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. How many members have we lost or gained this month?

Business Intelligence 143

Business Intelligence Dashboards Data mining OLAP 143

datapine

AUGUST 14, 2019

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. Thanks to modern data analysis tools , today the costs are decreased since all the data is stored on a cloud and speeds up the process to make better business decisions.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

FineReport

MARCH 24, 2024

Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making. Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis.

Statistics 52

Statistics Data mining Visualization Reporting 52

datapine

MAY 27, 2020

In recent years, analytical reporting has evolved into one of the world’s most important business intelligence components, compelling companies to adapt their strategies based on powerful data-driven insights. This is an essential component of making sure that you get the structure of an analytical report just right.

Reporting 245

Reporting Analytics Dashboards Sales 245

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 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

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 Prescriptive Analytics Data Science 166

FineReport

JUNE 11, 2021

Business Analytics. Business analytics is how companies use statistical methods and techniques to analyze historical data to gain new insights and improve strategic decision-making. 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

JUNE 8, 2023

Sports leagues and teams are using analytics to estimate turn out at various sporting events, predict the performance of individual athletes, identify ways that athletes can improve their performance and improve marketing strategies. We have mentioned that golf players have used data analytics to improve performance.

Data Analytics 82

Data Analytics Analytics Data Collection Statistics 82

CIO Business Intelligence

OCTOBER 7, 2022

With data increasingly vital to business success, business intelligence (BI) continues to grow in importance. With a strong BI strategy and team, organizations can perform the kinds of analysis necessary to help users make data-driven business decisions. SAS Certified Specialist: Visual Business Analytics Specialist.

Business Intelligence 145

Business Intelligence Data Warehouse Visualization Dashboards 145

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. Amazon, Capgemini, and IBM.

Business Analysis 93

Business Analysis Testing Business Analytics Statistics 93

Smart Data Collective

MAY 8, 2022

Business analytics. According to a study, 97% of businesses invest in big data and AI. From the statistics shown, this means that both AI and big data have the potential to affect how we work in the workplace. This is where business analytic specialists come in. High-performance data systems and MapReduce.

Big Data 105

Big Data Data Analytics Analytics Cost-Benefit 105

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?

KPI 221

KPI Management Key Performance Indicator Measurement 221

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. You will be able to leverage it to its full effectiveness. Closing Thoughts.

Data Collection 122

Data Collection Statistics Data-driven Marketing Analytics 122

FineReport

JUNE 11, 2021

Business Analytics. Business analytics is how companies use statistical methods and techniques to analyze historical data to gain new insights and improve strategic decision-making. What is the difference between business intelligence and analytics? Sometimes, people use them interchangeably.

Business Intelligence 52

Business Intelligence Analytics Dashboards Statistics 52

Smart Data Collective

AUGUST 10, 2021

Data can help them create strategies based on these powerful forces. In the early days of analytics, only the largest companies could afford to leverage big data. Marketing and business strategy benefit greatly from data. 5 Best Analytic Tools in 2021. So, what are the best analytics tools for businesses in 2021?

Analytics 127

Analytics Data-driven Advertising Data Science 127

datapine

NOVEMBER 27, 2019

But the BI landscape is evolving and the future of business intelligence is played now, with emerging trends to keep an eye on. In 2020, BI tools and strategies will become increasingly customized. Source: Business Application Research Center *. Share the essential business intelligence trends among your team!

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

JANUARY 6, 2022

More often than not, it involves the use of statistical modeling such as standard deviation, mean and median. Let’s quickly review the most common statistical terms: Mean: a mean represents a numerical average for a set of responses. Standard deviation: this is another statistical term commonly appearing in quantitative analysis.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

datapine

AUGUST 29, 2022

At 156 pages on Kindle, this is a book you could finish in one (long) sitting if you were so inclined, and that you can also use as an inspiration when you work on your business intelligence strategy. 6) Lean Analytics: Use Data to Build a Better Startup Faster, by Alistair Croll and Benjamin Yoskovitz. Davenport.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

FineReport

MAY 18, 2024

This technique helps identify correlations or patterns between variables and is widely used in statistical analysis and research studies. Box and Whisker Plots Boxplots and whisker plots offer a visual summary of the distribution of numerical data by displaying key statistical measures such as median, quartiles, and outliers.

Visualization 52

Visualization Interactive Cost-Benefit Dashboards 52

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. Based on this value, the grocery store manager can decide on its marketing strategies for better sales and increased revenue.

Testing 40

Testing Statistics IT Business Intelligence 40

Smart Data Collective

OCTOBER 31, 2021

When creating a business plan, you should think about the challenges you cannot accomplish without a good strategy and what strategy would work best to address them. You will find that analytics will make these processes much easier. Detailed market analytics will make this a lot easier. Price segment for goods.

Analytics 108

Analytics Data mining Analytics Technologies Sales 108

AWS Big Data

NOVEMBER 29, 2023

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. Use one click to access your data lake tables using auto-mounted AWS Glue data catalogs on Amazon Redshift for a simplified experience.

Data Warehouse 103

Data Warehouse Data Lake Analytics Machine Learning 103

Grooper

AUGUST 19, 2019

Successfully navigating the 20,000+ analytics and business intelligence solutions on the market requires a special approach. Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. Applied Analytics. Business Analytics.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Peter James Thomas

APRIL 9, 2019

Statistics & Data Science. Analytics & Big Data. How to Spot a Flawed Data Strategy. What alarm bells might alert you to problems with your Data Strategy ; based on the author’s extensive experience of both developing Data Strategies and vetting existing ones. Statistics & Data Science.

Data-driven 49

Data-driven Statistics Big Data Data Science 49

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? Use Case – 2. About Smarten.

Business Analysis 40

Business Analysis IT Sales Statistics 40

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%.

Deep Learning 83

Deep Learning Machine Learning Forecasting Visualization 83

Smarten

JUNE 20, 2018

The business can use this information for forecasting and planning, and to test theories and strategies. A stationary time series is one with statistical properties such as mean, where variances are all constant over time. Linear Trend. A linear pattern is a continuous decrease or increase in numbers over time. About Smarten.

Forecasting 40

Forecasting Statistics Business Intelligence Predictive Modeling 40

datapine

MAY 17, 2021

Businesses can benefit from improved data driven decision making as well as enhanced business processes and models and share insights across departments more fluently while propelling intelligent business strategies. Smart Data Discovery Or Augmented Intelligence: Discover The Next Stage In Business Analytics.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

Smarten

JUNE 26, 2018

Business Problem: A research agency wants to predict the likelihood of each election candidate being voted on by each voter and in turn devise a strategy to take proactive steps. Let’s look at two use cases: Use Case – 1. About Smarten.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 25, 2018

Business Benefit: The business marketing team can focus on risky customer segments in an efficient way in order to avoid losing those customers. Sales team segments that are facing challenges based on any current discounting strategy can be identified and a deal negotiation strategy can be improved and optimized.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

datapine

MAY 16, 2019

A sobering statistic if ever we saw one. Why Are Restaurant Analytics Important? Business analytics for restaurants is integral to understanding the inner workings of your business but and being aware of how you can improve it to foster a sustainable level of success that will set you apart from the competition.

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

Analytics Vidhya

AUGUST 23, 2023

Introduction Price optimization is a critical component of e-commerce that involves setting the right prices for products to achieve various business objectives, such as maximizing profits, increasing market share, and enhancing customer satisfaction.

Optimization 214

Optimization Business Objectives Marketing Analytics 214

Cloudera

JULY 13, 2022

Replication Manager provides HBase replication policies that help with disaster recovery so you can be assured that the data is backed up (as it gets generated), guaranteeing that you use the required and latest data in your business analytics and other use cases. Conclusion.

Snapshot 89

Snapshot Management Cost-Benefit Metadata 89

Smarten

JUNE 29, 2018

Business Benefit: By analyzing the various combinations of predictor variables, the business can forecast product growth, trends, patterns and seasonality, if any. ARIMAX provides forecasted values of the target variables for user-specified time periods to clearly illustrate results for planning, production, sales and other factors.

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

Smarten

JUNE 21, 2018

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. Business Problem : Insurance claim manager wants to forecast policy sales for next month based on past 12 months data. 3) Triple Exponential Smoothing Use Case.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

Smarten

JUNE 26, 2018

Business Problem: A retail store manager wants to conduct Market Basket analysis to come up with better strategy of products placement and product bundling. Business Benefit: The darker segments reveal the ideal methods of product bundling and placement to increase cross-sales. Use Case – 1. About Smarten.

Business Intelligence 40

Business Intelligence Sales Predictive Modeling Statistics 40

Smarten

JUNE 27, 2018

In this example, the segments that have a response rate higher than the overall response rate can be targeted first since they will require less effort to convert to a purchase, whereas a different marketing strategy must be devised for the lower segments (segments that have a response rate less than the overall rate). About Smarten.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40