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.

Business Analytics 40

Business Analytics Analytics Statistics Dashboards 40

FineReport

MARCH 24, 2024

Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis. They collaborate with cross-functional teams to meet organizational objectives and work across diverse sectors, including business intelligence, finance, marketing, and consulting.

Statistics 52

Statistics Data mining Visualization Reporting 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 83

Data Science Data Analytics Prescriptive Analytics Analytics 83

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.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

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

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

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 105

Business Analysis Testing Business Analytics Statistics 105

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. Top 9 business intelligence certifications.

Business Intelligence 145

Business Intelligence Data Warehouse Visualization Dashboards 145

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

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

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

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

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 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

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

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. How To Write An Analytical Report? Try our professional reporting software for 14 days, completely free!

Reporting 245

Reporting Analytics Dashboards Sales 245

Peter James Thomas

SEPTEMBER 19, 2018

Data Strategy. Data Controls. Data Curation (contributor: Tenny Thomas Soman ). Data Democratisation. Data Dictionary. Data Engineering. Data Ethics. Data Integrity. Data Lineage. Data Platform. Data Wrangling (contributor: Tenny Thomas Soman ). Explainable AI (contributor: Tenny Thomas Soman ). Information Governance. Referential Integrity.

Analytics 45

Analytics Testing Data Strategy Data Integration 45

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

Occam's Razor

DECEMBER 3, 2008

You can hack the Google Analytics tag to capture people's underwear size and color. #4. If you stick to web analytics your title might tap out at one of the titles mentioned above (say Sr. 2| Business Individual Contributor. The only condition is that your have to be a very very strong business person.

Analytics 115

Analytics Consulting Metrics Reporting 115

Grooper

AUGUST 19, 2019

Choosing the right analytics solution isn't easy. 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.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

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. Neeraja is a seasoned Product Management and GTM leader, bringing over 20 years of experience in product vision, strategy and leadership roles in data products and platforms.

Data Warehouse 106

Data Warehouse Data Lake Analytics Machine Learning 106

datapine

MAY 16, 2019

A sobering statistic if ever we saw one. At its core, restaurant analytics is the concept of analyzing all of the data related to your restaurant business and transforming it into actionable insights with the help of business intelligence software that will ultimately lead to significantly improved efficiency.

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

Smarten

JUNE 26, 2018

Frequent pattern mining (previously known as Association) is an analytical algorithm that is used by businesses and, is accessible in some self-serve business intelligence solutions. Business Benefit: The darker segments reveal the ideal methods of product bundling and placement to increase cross-sales.

Business Intelligence 40

Business Intelligence Sales Predictive Modeling Statistics 40

Smarten

JUNE 29, 2018

To understand the value of this applied technique, let’s consider two business use cases. 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. Use Case – 1. About Smarten.

Business Analysis 40

Business Analysis IT Business Intelligence Sales 40

Cloudera

NOVEMBER 2, 2020

As such, many customers are building RTDW applications as part of their overall strategy of using Cloudera to modernize their data warehouse practice. These are end-to-end, high volume applications that are used for general purpose data processing, Business Intelligence, operational reporting, dashboarding, and ad hoc exploration.

Data Warehouse 91

Data Warehouse Optimization Dashboards Interactive 91

datapine

NOVEMBER 27, 2019

Over the past decade, business intelligence has been revolutionized. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Peter James Thomas

OCTOBER 1, 2019

Some authorities describe them as any diagram using a map to display statistical data; I cover this type of general chart in Map Charts below. A further example is contained in Limitations of Business Intelligence. Especially for all Business Analytics professionals out there. Business logic [My adaptation].

Sales 61

Sales Measurement Statistics Data Architecture 61

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. Visual discovery is helping expand traditional business intelligence and improve efficiency.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

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

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. ETL is primarily used for data warehousing and business intelligence applications. However, data pipelines and ETL are not synonymous.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52