datapine

OCTOBER 7, 2020

We have written about management reporting methods that can be utilized in the modern practice of creating powerful analysis, bringing complex data into simple visuals, and employ them to make actionable decisions. Your Chance: Want to visualize & track operational metrics with ease? Retail: Sales by Region.

KPI 269

KPI Metrics Sales Visualization 269

Smart Data Collective

MARCH 25, 2021

Business reporting has been around for a long time but the tools and techniques of business intelligence have refined over time and now with the recent popularity of data driven business approach, data has been identified as the most valuable asset of a business and data analytics and reporting has finally found a key place in the business world.

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Data-driven Analytics Business Intelligence Dashboards 125

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

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 leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue.

Statistics 52

Statistics Data mining Visualization Reporting 52

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 141

Business Intelligence Dashboards Data mining OLAP 141

IBM Big Data Hub

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

datapine

SEPTEMBER 11, 2019

Digital data, by its very nature, paints a clear, concise, and panoramic picture of a number of vital areas of business performance, offering a window of insight that often leads to creating an enhanced business intelligence strategy and, ultimately, an ongoing commercial success. 1) Improving The Decision-Making Process.

Business Intelligence 161

Business Intelligence Analytics Sales Dashboards 161

datapine

NOVEMBER 11, 2021

1) Benefits Of Business Intelligence Software. 2) Top Business Intelligence Features. b) Analytics Features. Benefits Of Business Intelligence Software. 17 Top Features Of Business Intelligence Tools. No matter the business size, companies are collecting data from multiple sources.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

FineReport

JULY 6, 2022

With the advancement of digitization, various business intelligence tools have gradually emerged. Some BI tools are devoted to helping companies’ data analysis and business information management, gradually becoming the leaders of the BI market. Introduction of Power BI, Tableau, and FineReport. From Microsoft Power BI.

Dashboards 52

Dashboards Visualization Business Intelligence Reporting 52

datapine

APRIL 14, 2022

When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs. 8) The MagicBand.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

Smart Data Collective

DECEMBER 10, 2020

The following are three ways AI can help small businesses succeed. AI Helps Small Businesses Stay Ahead of the Competition. Small businesses are using AI at an increasing rate to become better engaged with their customers. This increases sales and profit margins. AI Can Be Used to Train a Sales Team.

Sales 95

Sales Interactive Advertising Visualization 95

Smarten

JUNE 29, 2018

Business Problem: An eCommerce company wants to measure the impact of product price on product sales. The dependent variable is product sales data for last year. Business Benefit: The product sales manager can identify the amount and direction of product price impact on product sales. Use Case – 2.

Enterprise 40

Enterprise Sales Statistics Business Intelligence 40

datapine

FEBRUARY 17, 2023

That said, to efficiently harness the insights readily available at their fingertips and convert them into initiatives that set them apart from their competitors, companies must leverage superior analytical tools, resources, and platforms. Enter embedded analytics and white label business intelligence. But not just that.

Analytics 191

Analytics Cost-Benefit Dashboards Business Intelligence 191

Smarten

JUNE 29, 2018

Business Problem: An ecommerce company wants to measure the impact of product price, product promotions, and holiday seasonality on product sales. The dependent variable is product sales data. For the predictors with the most impact, the team can make important strategic decisions to meet product sales targets.

Business Analysis 40

Business Analysis IT Sales Statistics 40

Birst BI

JANUARY 16, 2018

When you hear the words “artificial intelligence,” (AI) what’s the first thing you think of: robots doing backflips , Alexa , medical diagnostic innovations or something else? If you’re a business intelligence (BI) and analytics application user, it’s likely that “data-driven insight to the masses” will soon be top-of-mind.

Data-driven 70

Data-driven Analytics Dashboards Machine Learning 70

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

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

Smarten

JUNE 29, 2018

For example, sale of ice cream and the sale of cold drinks are related to weather conditions. 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.

Enterprise 40

Enterprise IT Statistics Business Intelligence 40

FineReport

APRIL 11, 2023

In today’s fast-paced business environment, making informed decisions based on accurate and up-to-date information is crucial for achieving success. With the advent of Business Intelligence Dashboard (BI Dashboard), access to information is no longer limited to IT departments.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

datapine

FEBRUARY 9, 2024

Catchy headlines, backlinks to relevant influencer content, the seamless placement of a numbered or bulleted and visuals are some of the key drivers of successful digital content. Pick it apart – remember that customer satisfaction, sales, retention, etc. Offer online data visualization tools that are clear, concise, and tell a story.

KPI 221

KPI Management Key Performance Indicator Measurement 221

Smart Data Collective

MAY 19, 2021

Business likes specifics. If there are sales, the management needs to know exactly how much product was sold today, how much last month, how much more or less compared to last year. BI (Business Intelligence) systems exist to solve problems. When business intelligence is needed? Conclusion.

Business Intelligence 97

Business Intelligence Sales Reporting Visualization 97

Smarten

JUNE 29, 2018

How is the Paired Sample T Test Beneficial to Business Analysis? Marketing – Have sales increased following a particular campaign? Business Problem: A grocery store sales manager wants to know whether daily sales have increased after an advertising campaign. Here the dependent variable would be ‘Daily sales’.

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

Smarten

JUNE 29, 2018

Business Problem: A Grocery store sales manager wants to know whether customer segment A spends more on groceries than customer segment B. Based on this value, the grocery store manager can decide on its marketing strategies for better sales and increased revenue. Use Case – 2. About Smarten.

Testing 40

Testing Statistics IT Business Intelligence 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

datapine

JULY 24, 2019

What is one strategic business intelligence (BI) mechanism that is absolutely necessary in the digital age? Thanks to specific business intelligence best practices for dashboard design. They are basically a tech-driven approach used to analyze and visualize information in an actionable way. An online BI dashboard.

Dashboards 148

Dashboards Business Intelligence Visualization KPI 148

Sisense

APRIL 26, 2020

Cloud data warehouses aggregate data from different sources into a central, consistent data store to support various business, analytics, visualization, AI, and ML purposes. A data warehouse enables an organization to run powerful analytics on huge volumes of data in ways that a standard database cannot.

Unstructured Data 52

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

Reporting 245

Reporting Analytics Dashboards Sales 245

IBM Big Data Hub

MAY 12, 2022

This results in the needed analytics being siloed and underutilized by decision makers who could benefit from this data and content…if they only knew it existed and was accessible. The most important types of analytics. The company faced a large gap between their sales plan and their production plan during the pandemic. “We

Business Analytics 57

Business Analytics Analytics Recreation/Entertainment Cost-Benefit 57

IBM Big Data Hub

OCTOBER 27, 2022

When Newcomp Analytics started working with chocolatier Lindt Canada more than 15 years ago to support their supply chain, Lindt had no full-time IT personnel for analytics. Lindt now has a team of 10, including a business intelligence (BI) manager and BI developer analysts.

Slice and Dice 52

Slice and Dice Analytics Sales Business Intelligence 52

datapine

MAY 16, 2019

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. Why Are Restaurant Analytics Important?

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

datapine

FEBRUARY 22, 2022

1) What Is A Business Intelligence Strategy? 4) How To Create A Business Intelligence Strategy. Odds are you know your business needs business intelligence (BI). In response to this increasing need for data analytics, business intelligence software has flooded the market.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

datapine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. Your Chance: Want to try a professional BI analytics software? Experience the power of Business Intelligence with our 14-days free trial!

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

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.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

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. Amazon Q Generative SQL capability Query Editor, an out-of-the-box web-based SQL experience in Amazon Redshift is a popular tool for data exploration, visual analysis, and data collaboration.

Data Warehouse 100

Data Warehouse Data Lake Analytics Machine Learning 100

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

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