CIO Business Intelligence

JUNE 14, 2023

Organization: AWS Price: US$300 How to prepare: Amazon offers free exam guides, sample questions, practice tests, and digital training. The exam tests general knowledge of the platform and applies to multiple roles, including administrator, developer, data analyst, data engineer, data scientist, and system architect.

Big Data 121

Big Data Data Analytics Analytics Predictive Modeling 121

Smarten

DECEMBER 3, 2023

So, you can ask, ‘Who sold the most bakery items in the Southwest region from September through November of 2022,’ and you will receive your results and can visualize your data in a way that makes sense to you and to your team. What is self-service analytics? We should probably explain before we move on.

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

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

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

Smarten

JUNE 29, 2018

This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. What is ARIMAX Forecasting? This method is suitable for forecasting when data is stationary/non stationary, and multivariate with any type of data pattern, i.e., level/trend /seasonality/cyclicity. About Smarten.

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

Smarten

JUNE 26, 2018

This article provides a brief explanation of the ARIMA method of analytical forecasting. What is ARIMA Forecasting? This analytical forecasting method is suitable for instances when data is stationary/non stationary and is univariate, with any type of data pattern, i.e., level/trend/seasonality/cyclicity. About Smarten.

Forecasting 40

Forecasting Enterprise IT Sales 40

Smarten

JUNE 21, 2018

This article provides a brief explanation of the Holt-Winters Forecasting model and its application in the business environment. What is the Holt-Winters Forecasting Algorithm? The Holt-Winters algorithm is used for forecasting and It is a time-series forecasting method. 2) Double Exponential Smoothing Use Case.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

IBM Big Data Hub

JANUARY 25, 2024

Over time, inventory managers have tested different approaches to determine the best fit for their organizations. 2 Unless your demand forecasting is accurate, adopting a reactive approach might prove less efficient. Can you conduct what-if scenarios to visualize your options? Now, consider the just-in-case approach.

Optimization 75

Optimization Cost-Benefit Prescriptive Analytics Manufacturing 75

Juice Analytics

APRIL 17, 2020

As I was listening to a Data Visualization Society round table discussion about the responsible use of COVID-19 data (properly distanced and webinar-ed, of course), a few thoughts seemed most relevant. Forecasts are not Predictions (But they’re still useful.) Consider your source (Or: Hey Twitter: SHUT UP!) But it’s not.

Forecasting 85

Forecasting Snapshot Dashboards Uncertainty 85

Smarten

MAY 31, 2022

When combined with Citizen Data Scientist initiatives, the adoption and use of predictive modeling and forecasting techniques can be a boon to any enterprise. Forecasting. Hypothesis Testing. Descriptive Statistics. Analyze the Model with Visualization and Interpretation. Trends and Patterns. Classification.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

FineReport

JULY 18, 2022

For example, if you want the features of data visualization , such as stunning dashboards and rich charts, business intelligence tools are more suitable for you than a pure programming tool. FineBI is a business intelligence tool for self-service big data analysis and data visualization. Finally, the budget can not be ignored.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

O'Reilly on Data

MAY 27, 2020

Under school district policy, each of Audrey’s eleven- and twelve-year old students is tested at least three times a year to determine his or her Lexile, a number between 200 and 1,700 that reflects how well the student can read. They test each student’s grasp of a particular sentence or paragraph—but not of a whole story.

Risk 355

Risk Testing Reporting Measurement 355

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve.

Machine Learning 55

Machine Learning Data Science Statistics Deep Learning 55

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2) Data Discovery/Visualization. Data exploded and became big.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

AUGUST 21, 2019

Using the Smarten approach, users can quickly and easily prepare and analyze data and visualize and explore data, notate and highlight data and share data with others. Users can highlight trends and patterns, test hypotheses and theories to reduce business risk, and easily predict and forecast results.

Analytics 51

Analytics Predictive Modeling Visualization Statistics 51

AWS Big Data

JUNE 15, 2023

Just as data is prepared visually using dashboards and reports, it can be readied for language-based interactions using a topic. QuickSight authors can also add their Q visuals straight to an analysis to speed up dashboard creation, as seen in GIF 2. With NLQ, language is the interface.

Sales 70

Sales Dashboards Visualization Testing 70

FineReport

DECEMBER 9, 2021

This is a short project that validates the technical concept by proposing many simplified functions, verifying hypotheses, testing the functionality of the product, and ensuring that the concept can be implemented or vice versa. BI visualization to analyze cost(by FineReport). Free Download. Business intelligence strategy example.

Strategy 98

Strategy Business Intelligence KPI Key Performance Indicator 98

datapine

JULY 17, 2019

Typically presented in the form of an interactive dashboard , this kind of report provides a visual representation of the data associated with your predetermined set of key performance indicators – or KPI data, for short. Set up a report which you can visualize with an online dashboard. 5) Drill down into data visualization.

KPI 223

KPI Reporting Key Performance Indicator Dashboards 223

Smarten

NOVEMBER 26, 2023

Put simply, data democratization enables every team member in a business to work with and understand data without technical or statistical training or knowledge. They can use data on a daily basis to test theories, share and collaborate, and can receive alerts to inform them when thresholds are crossed or issues need resolution or analysis.

Business Intelligence 40

Business Intelligence Data-driven Reporting Advertising 40

datapine

NOVEMBER 15, 2022

Taking medians over averages is preferable, as they give stronger statistics that are less sensitive to outliers. Customer Lifetime Value (CLTV): measures how profitable your customers are in the long run, by forecasting the average amount of money you can make out of a customer. Work on your data and visualize it.

Metrics 141

Metrics KPI Measurement Dashboards 141

Smarten

JULY 10, 2018

Use Case(s): Weather Forecasting, Fraud Analysis and more. Independent Samples T Test: What is the Independent Samples T Test Method of Analysis and How Can it Benefit an Organization? Paired Sample T Test: What is the Paired Sample T Test and How is it Beneficial to Business Analysis?

Analytics 40

Analytics Forecasting Statistics Sales 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. Stationary/Stationarity.

Forecasting 40

Forecasting Statistics Business Intelligence Predictive Modeling 40

DataRobot Blog

MAY 26, 2022

These methods provided the benefit of being supported by rich literature on the relevant statistical tests to confirm the model’s validity—if a validator wanted to confirm that the input predictors of a regression model were indeed relevant to the response, they need only to construct a hypothesis test to validate the input.

Risk 52

Risk Modeling Metrics Business Objectives 52

Smarten

APRIL 12, 2018

First, there is Augmented Data Preparation This process helps users access data integrated from varied data repositories and sources in a single interface, so they can test theories and hypotheses. There are a couple of components to the augmented data discovery continuum.

Statistics 40

Statistics Forecasting Machine Learning Business Intelligence 40

Smarten

JANUARY 15, 2018

A well-conceived augmented data discovery solution includes tools and features that are simple enough for business users and allow users with average skills to perform augmented data preparation, drawing data from various repositories to test theories and hypotheses without the assistance of IT or analysts to prepare the data.

Forecasting 40

Forecasting Statistics Testing Visualization 40

Smarten

SEPTEMBER 6, 2019

With true self-serve business intelligence and analytics solutions, the average business user can perform data preparation, test theories and hypotheses by prototyping on their own and share clear, objective data with others. Self-serve tools allow users to leverage knowledge and skill and better perform against forecasts and plans.

Analytics 51

Analytics IT Business Intelligence Testing 51

Smarten

JUNE 29, 2018

Multiple Linear Regression is a statistical technique that is designed to explore the relationship between two or more variables (X, and Y). All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists. About Smarten.

Business Analysis 40

Business Analysis IT Sales Statistics 40

Sisense

AUGUST 21, 2020

One result is that systems become much more intuitive: Users can take advantage of the “Simply Ask” feature to check “what are my sales next two months” and receive chatbot messages with projected visualizations and suggestions for further exploration routes. It’s visual, it’s spoken, it’s audible. Trend 2: Decline of the dashboard.

Analytics 112

Analytics Machine Learning Dashboards Visualization 112

Birst BI

AUGUST 23, 2018

Data scientists building AI applications require numerous skills – data visualization, data cleansing, artificial intelligence algorithm selection and diagnostics. Develop and test a model in R Studio. Our recruits come from various disciplines – chemistry, physics, math, statistics, operations research, and economics.

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

Smarten

JULY 3, 2017

When an enterprise selects a self-serve business intelligence solution with Advanced Data Discovery , Smart Data Visualization , Plug n’ Play Predictive Analysis and Self-Serve Data Preparation , it can create an environment where business users are empowered and become greater assets to the organization. It’s simple!

Predictive Modeling 40

Predictive Modeling Visualization Business Intelligence Experimentation 40

datapine

AUGUST 29, 2022

It mentions the completeness of data (as opposed to sampling), the power to quantify and digitize new formats of information that were previously inaccessible, as well as the ability to use new databases (like Hadoop and NoSQL) and statistical tools (machine learning and data mining) to describe huge quantities of data. Davenport.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Smarten

NOVEMBER 22, 2017

Your business users can perform advanced analytics, using sophisticated tools in an easy-to-use, drag and drop interface, with no advanced skill requirement for statistical analysis, algorithms or technical knowledge.

Analytics 40

Analytics IT Business Intelligence Visualization 40

Smarten

JUNE 29, 2018

Weather Forecasting – Based on temperature, humidity, pressure etc., It is useful for making predictions and forecasting data based on historical results. For numerical variable, normal distribution is assumed which is a strong assumption. How Can Naïve Bayes Be Used for Enterprise Analysis? About Smarten.

Enterprise 40

Enterprise IT Business Intelligence Forecasting 40

datapine

MARCH 22, 2019

Determining accurate CES, NPS, and CSAT is easier when you are using an interactive, real-time dashboard that’s capable of providing elevated visualizations coupled with concise textual details. You can use different scales to measure the experience or emojis (visual representation of satisfactory levels).

Metrics 134

Metrics Dashboards Measurement Interactive 134

Smarten

AUGUST 9, 2017

Users can perform advanced analytics in an easy-to-use, drag and drop interface without knowledge of statistical analysis or algorithms. Augmented Data Preparation empowers business users with access to meaningful data to test theories and hypotheses without the assistance of data scientists or IT staff.

Analytics 40

Analytics IT Statistics ROI 40

Domino Data Lab

SEPTEMBER 25, 2019

A big part of statistics, particularly for financial and econometric data, is analyzing time series, data that are autocorrelated over time. Fortunately, the forecast package has a number of functions to make working with time series data easier, including determining the optimal number of diffs. > library(forecast).

Forecasting 87

Forecasting Modeling Statistics Optimization 87

Smarten

JUNE 27, 2018

Weather Forecasting – Based on temperature, humidity, pressure etc. 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.

Business Analytics 40

Business Analytics Analytics IT Business Intelligence 40