FineReport

MARCH 6, 2024

This heightened clarity positions financial statements as a focal point for the management team, who place a greater emphasis on their analysis to gain profound insights into the company’s financial well-being. Financial statements constitute a pivotal segment within corporate reports. How are the Three Financial Statements Presented?

Reporting 52

Reporting Operational Reporting Statistics Dashboards 52

datapine

MAY 27, 2020

While many companies struggle to leverage an effective business intelligence strategy, the importance of analytical information created a fluctuation of data that cannot be simply collected into a single spreadsheet. Let’s get started. What Is An Analytical Report?

Reporting 245

Reporting Analytics Dashboards Sales 245

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. How Can the Chi Square Test of Association Be Used for Business Analysis?

Testing 40

Testing Statistics IT Business Intelligence 40

Smarten

JUNE 27, 2018

How Can Outlier Detection Improve Business Analysis? That focus will help the business to select the right method of analysis, graphing or plotting to reveal the results they need to see and understand. If you look at the Histogram below, you will see that one value lies far to the left of all other data.

IT 40

IT Business Intelligence Predictive Modeling Testing 40

Smarten

JUNE 29, 2018

This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. ARIMAX is suitable for analysis where there are additional explanatory variables (multivariate) in categorical and/or numeric format. How Can ARIMAX Forecasting Be Used for Enterprise Analysis?

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

FineReport

NOVEMBER 26, 2019

What is the difference between so many data analysis tools? And I am trying to talk objectively with you about my personal views on data analysis tools on the market, for your reference. If you want to learn data analysis, Excel is definitely the first choice. But these are not really data analysis functions.

Data Analytics 98

Data Analytics Analytics Statistics Visualization 98

Smarten

JULY 10, 2018

This twenty-four (24) article series includes: Naïve Bayes Classification: What is Naïve Bayes Classification and How is it Used for Enterprise Analysis? Use Case(s): Weather Forecasting, Fraud Analysis and more. Use Case(s): Market Basket Analysis, Frequently Bundled Products and more.

Analytics 40

Analytics Forecasting Statistics Sales 40

Smarten

FEBRUARY 11, 2019

Using the knowledge and skill of each individual on your team and allowing these skills to inform business decisions and business analysis is key. As businesses democratize data and look for ways to improve collaboration and ensure that information makes it to everyone who needs it, a new business role has emerged.

Analytics 40

Analytics Prescriptive Analytics ROI Statistics 40

FineReport

DECEMBER 19, 2019

In fact, it’s a BI analysis tool specifically for business people, helping them get rid of the constraints of traditional IT and complete data analysis work independently. At the same time, it also advocates visual exploratory analysis. It can be used as a portal for data reporting, or as a platform for business analysis.

Knowledge Discovery 98

Knowledge Discovery Visualization Experimentation Reporting 98

FineReport

JANUARY 5, 2022

Analytics report analyzes and evaluates a business strategy or process using qualitative and quantitative company data. As a result, it can empower employees to make data-driven decisions based on evidence and analysis. As a result, it can empower employees to make data-driven decisions based on evidence and analysis.

Reporting 52

Reporting Analytics Visualization Dashboards 52

Occam's Razor

APRIL 4, 2011

" That applies to what is analysis. If you see words in English outlining actions that need to be taken, and below the fold you see relevant supporting data, then you are looking at the result of web data analysis. Examples of web analysis? This is a good example of web analysis: [And not only because it is my work!

Reporting 127

Reporting Metrics Dashboards Statistics 127

Jen Stirrup

JUNE 20, 2020

My analysis is based on the Financial statements put forward by PASS using some basic metrics; until you do that piece, you can’t move forward to compare and contrast it with other data since you have not done your ‘descriptive statistical analysis’ first to ensure that the comparison is valid.

Metrics 104

Metrics Business Analytics Data-driven Statistics 104

FineReport

JUNE 20, 2022

Evolved from dashboards in a car or an airplane, dashboards in business operations provide an at-a-glance view of the essential business information on a single screen for the business owners. A scatter plot requires a large amount of statistical data to achieve the goal of obviously showing the trends. Free Download.

Dashboards 52

Dashboards Metrics Visualization Sales 52

Alation

OCTOBER 12, 2022

Data users will often set boundary limits to this sort of data, and may apply arithmetic operations to it and aggregate it for analysis. What Is Quantitative Data Analysis? Quantitative analysis can take two forms: the traditional business analysis of numerical data, or the more academic quantitative analysis.

Statistics 52

Statistics Sales Testing Marketing 52

Occam's Razor

MARCH 12, 2012

Clickstream + qualitative data + rigorous statistical analysis of outcomes + deep mining of data from competitive intelligence sources + rapid experiments + more. It is sucky that almost no one knows what to do with it in the context of driving actual business value. " I don't think so. So what is big data really?

Big Data 127

Big Data Data-driven Unstructured Data Marketing 127

Occam's Razor

JUNE 6, 2011

Read this post and the step by step process: Analytics Career Advice: Job Titles, Salaries, Technical & Business Roles. . #1: Figure out the optimal career path for you. This might seem odd. Not asking you to jump into JavaScript classes or make love to Yahoo! Analytics or start pimping your resume left and right. Why before what.

Analytics 125

Analytics Consulting Statistics Marketing 125

Occam's Razor

JANUARY 10, 2011

10% of your time should be spent in implementing tools, not 15 months with an eye towards analysis in the middle of 2012. And possess at least some knowledge of the fundamentals of statistics. Your business savvy and 2. Then no one cares because no one is any wiser and the business still stinks at the web. Get over it.

Analytics 120

Analytics Measurement Data-driven Optimization 120

Occam's Razor

SEPTEMBER 21, 2015

Even if you have really amazing why and so what , I've observed many Analysts die at the last mile: Presenting their whys and the so whats, in the form of stories. In fact 86.4% of all Analyst careers fail due to a lack of this critical last mile skill! It is really 88%. : ). Tom Fishburne's wonderful cartoon is here for another purpose.

Visualization 160

Visualization Key Performance Indicator Slice and Dice Strategy 160

Occam's Razor

DECEMBER 3, 2008

Michael is not his real name. Modesty aside, :), Michael is good at what he does. I get many emails in the spirit of this one and thought it was about time I wrote a proper post about it. Some of you face tough times, some might get laid off [see end of this post], some might make opportunistic leaps. He can implement anything in his sleep.

Analytics 115

Analytics Consulting Metrics Reporting 115

Smart Data Collective

JUNE 26, 2019

When many business analysts talk about blind spots in data , dark data comes into the conversation. Dark data is also called “unclassified data,” and it’s information your business has but does not use for analytical purposes or any other reason related to running the business. Start Locating Your Dark Data.

ROI 102

ROI Statistics Machine Learning Measurement 102