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

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. Sales: Where do we stand regarding our targets?

KPI 221

KPI Management Key Performance Indicator Measurement 221

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 122

Big Data Data Analytics Analytics Statistics 122

Smart Data Collective

OCTOBER 31, 2021

If you have not decided what you will sell, you want to sell a product in demand, you can use the statistics of specialized services, research major players. Detailed market analytics will make this a lot easier. Analytics technology can help in a number of ways. Analytics is Crucial to the Future of E-Commerce.

Analytics 133

Analytics Data mining Analytics Technologies Predictive Analytics 133

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

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

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

Smarten

JUNE 25, 2018

This article provides a brief explanation of the definition and uses of the Descriptive Statistics algorithms. What is a Descriptive Statistics? Descriptive statistics helps users to describe and understand the features of a specific dataset, by providing short summaries and a graphic depiction of the measured data.

Statistics 40

Statistics Enterprise Measurement Business Intelligence 40

Peter James Thomas

AUGUST 22, 2018

While the history is not certain, most authorities credit the pioneer of graphical statistics, William Playfair , with creating this icon, which appeared in his Statistical Breviary, first published in 1801 [2]. So we can compare Pie Charts and talk about how sales change between two years, what’s the problem?

Sales 73

Sales Statistics IT Publishing 73

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

Jet Global

JULY 11, 2019

One of those areas is called predictive analytics, where companies extract information from existing data to determine buying patterns and forecast future trends. By using a combination of data, statistical algorithms, and machine learning techniques, predictive analytics identifies the likelihood of future outcomes based on the past.

Business Intelligence 72

Business Intelligence Forecasting Predictive Analytics Data Warehouse 72

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. This method significantly accelerates the performance of table scans compared to traditional methods.

Data Warehouse 112

Data Warehouse Analytics Data Lake Machine Learning 112

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. Excel: Widely used for preliminary data analysis and modeling, featuring advanced business analytics options.

Statistics 52

Statistics Data mining Visualization Reporting 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. Business Problem: A Grocery store sales manager wants to know whether customer segment A spends more on groceries than customer segment B.

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. How is the Paired Sample T Test Beneficial to Business Analysis? Marketing – Have sales increased following a particular campaign?

Business Analysis 40

Business Analysis Testing Statistics Advertising 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 Statistics Sales Business Intelligence 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). The dependent variable is product sales data. What is Multiple Linear Regression Analysis? Use Case – 2.

Business Analysis 40

Business Analysis IT Sales Statistics 40

Peter James Thomas

AUGUST 12, 2018

The situation it describes may seem farcical, but it is actually not too far away from some extrapolations I have seen in a business context. For example, a prediction of full-year sales may consist of this year’s figures for the first three quarters supplemented by prior year sales for the final quarter.

Statistics 49

Statistics Metrics Data Quality Measurement 49

Smarten

JULY 10, 2018

Multiple Linear Regression: What is Multiple Linear Regression and How Can it be Helpful for Business Analysis? Use Case(s): Impact of Product Pricing, Promotion on Sales, Impact of rainfall, humidity on crop yield an more. SVM Classification Analysis: What is SVM Classification Analysis and How Can It Benefit Business Analytics?

Analytics 40

Analytics Forecasting Statistics Sales 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. About Smarten.

Enterprise 40

Enterprise Statistics IT Business Intelligence 40

Sisense

JUNE 26, 2019

The aged statistic still stands that 80% of your time will be spent preparing and optimizing data. We have often talked about the single-stack approach to business analytics, and with the complexity of enterprise data, this approach makes even more sense. . This is not as easy as it sounds. The Right One.

Enterprise 75

Enterprise Data Warehouse Dashboards Modeling 75

Smarten

JUNE 26, 2018

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. Business Benefit: The business can make use of these forecasts for better planning of drug production and accuracy of sales targets. About Smarten.

Forecasting 40

Forecasting Enterprise IT Sales 40

Peter James Thomas

OCTOBER 1, 2019

I use the word “value” to refer to something more continuous plotted on an axis, such as sales or number of items etc. So if the categories are France, Germany, Italy and The UK; and the values are sales; then different series may pertain to sales of different products by country. Bar & Column Charts.

Sales 61

Sales Measurement Statistics Data Architecture 61

Smarten

JUNE 26, 2018

Business Benefit: The darker segments reveal the ideal methods of product bundling and placement to increase cross-sales. Based on the association rules generated, the store manager can strategically place the products together or in sequence leading to growth in sales and in turn revenue of the store. About Smarten.

Business Intelligence 40

Business Intelligence Sales Predictive Modeling Statistics 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. About Smarten.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

Smarten

JUNE 25, 2018

Business Problem: Discount Analysis and Customer Retention will help the organization to target discounts to specific customers and the business will need to visualize ‘segments of sales group based on discount behavior’ and ‘customer churn to identify segments of customers on the verge of leaving’. About Smarten.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

FineReport

APRIL 11, 2023

Data Visualizations : Dashboards are configured with a variety of data visualizations such as line and bar charts, bubble charts, heat maps, and scatter plots to show different performance metrics and statistics. Financial dashboards are useful for monitoring business performance and for financial planning and analysis.

Dashboards 40

Dashboards Business Intelligence Metrics Cost-Benefit 40

Smarten

JUNE 29, 2018

ARIMAX provides forecasted values of the target variables for user-specified time periods to clearly illustrate results for planning, production, sales and other factors. About Smarten.

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

FineReport

MAY 18, 2024

Applications in Various Fields In Business , data visualization is used for sales analysis , market forecasting, and performance KPI tracking. In marketing analytics, bar charts are employed to illustrate sales performance across various product categories, providing a clear visual representation of market trends.

Visualization 52

Visualization Interactive Cost-Benefit Dashboards 52

Jet Global

OCTOBER 1, 2019

One of those areas is called predictive analytics, where companies extract information from existing data to determine buying patterns and forecast future trends. By using a combination of data, statistical algorithms, and machine learning techniques, predictive analytics identifies the likelihood of future outcomes based on the past.

Business Intelligence 40

Business Intelligence Forecasting Predictive Analytics Data Warehouse 40

Smarten

JUNE 29, 2018

Business Problem: A retail store manager wants to conduct Market Basket analysis to come up with a better strategy of product placement and product bundling. Business Benefit: Based on the rules generated, banking products can be cross-sold to each existing or prospective customer to drive sales and bank revenue. About Smarten.

Business Analysis 40

Business Analysis IT Business Intelligence Sales 40

Sisense

MAY 27, 2021

consumers at the start of the pandemic, for example, caused out-of-stock issues that continued in supermarkets through the rest of the year, leading to nearly $3 billion in lost sales, according to market researcher NielsenIQ. According to research by data analytics firm Exasol, 87% of U.S. Initial pantry-loading activities by U.S.

Forecasting 52

Forecasting Sales Analytics Marketing 52

Grooper

AUGUST 19, 2019

Applied analytics Business analytics Machine learning and data science. Applied Analytics. Applied analytics is all about building a business analytics portfolio of actionable insights which directly affect and improve business processes. Business Analytics. Primary keys.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Sisense

JUNE 16, 2020

In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data. This piece was originally published on Search Business Analytics.

Analytics 69

Analytics Data-driven Sales Data Processing 69

datapine

AUGUST 29, 2022

Siegel’s research makes it clear that predictive analytics is not a sneaky procedure used by companies to sell more, but a significant leap in technology that, by predicting human behavior, can help combat financial risk, improve health care, reduce spam, toughen crime-fighting, and yes, boost sales.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Jet Global

JUNE 22, 2023

BI and analytics are both umbrella terms referring to a type of data insight software. Many providers use them interchangeably, but some use them in conjunction, claiming to offer both business intelligence and business analytics. One school of thought distinguishes BI and business analytics along these past/future lines.

Analytics 52

Analytics Business Intelligence Sales Reporting 52

Jet Global

MAY 9, 2024

By providing real-time data for analysis, data pipelines support operational decision-making, improve customer experience, and enhance overall business agility. For example, retail companies can monitor sales transactions as they occur to optimize inventory management and pricing strategies.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52