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

Smarten

APRIL 28, 2023

If you are considering implementing a mobile BI solution to expand your business intelligence and analytics capabilities or if your business wants to implement mobile business intelligence to begin a self-serve analytics journey, you might add a productivity goal to your plan.

Slice and Dice 52

Slice and Dice Business Intelligence ROI Statistics 52

Smarten

NOVEMBER 26, 2023

The Benefits of Business Intelligence (BI) As the Business Intelligence solution market evolves, it may be difficult for an organization to know when to invest in these tools, and which tools are best for enterprise and user needs. What is self-serve BI? What is data democratization? What is data literacy?

Business Intelligence 40

Business Intelligence Data-driven Reporting Advertising 40

Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Forecasting. Hypothesis Testing. Descriptive Statistics. Trends and Patterns. Classification. Correlation.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 78

Data Science Data Analytics Prescriptive Analytics Analytics 78

FineReport

DECEMBER 9, 2021

Business intelligence strategy is seen as a roadmap designed to help companies measure their performance and strengthen their performance through architecture and solutions. A competent business intelligence strategy should bring companies incomparable competitive advantages. Build a business intelligence roadmap.

Strategy 98

Strategy Business Intelligence KPI Key Performance Indicator 98

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. FineReport is a business intelligence reporting and dashboard software that helps enterprises transform data into value.

Forecasting 52

Forecasting Dashboards Visualization Statistics 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

Smart Data Collective

SEPTEMBER 19, 2022

Positive customer experience sits atop the most valuable things critical to the longevity of any business. Statistics show that 93% of customers will offer repeat business when they encounter a positive customer experience. Forecasting Future Market Trends. Better UI/UX based on A/B testing.

Big Data 129

Big Data ROI Measurement Risk 129

Smart Data Collective

AUGUST 10, 2021

Not only will it aid in evaluation and future forecasting, but it also enables us to make conclusions from previous occurrences, which is very useful in many situations. As a result of the resolution of risks and the creation of hypotheses, data analysis assists businesses in generating sound business choices.

Data Analytics 135

Data Analytics Analytics Big Data Key Performance Indicator 135

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 124

Big Data Data Analytics Analytics Predictive Modeling 124

Smarten

JULY 10, 2018

Use Case(s): Weather Forecasting, Fraud Analysis and more. Frequent Pattern Mining (Association): What is Frequent Pattern Mining (Association) and How Does it Support Business Analysis? Multiple Linear Regression: What is Multiple Linear Regression and How Can it be Helpful for 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. About Smarten.

Forecasting 40

Forecasting Statistics Business Intelligence Predictive Modeling 40

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. At this point, turning to self-service business intelligence would be the most affordable and effective solution.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Smarten

SEPTEMBER 6, 2019

SSDP (otherwise known as self-serve data preparation) is the logical evolution of business intelligence analytical tools. With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise. What is SSDP?

Analytics 51

Analytics IT Business Intelligence Testing 51

Smarten

APRIL 12, 2018

There are so many new terms in the business intelligence and advanced analytics domain. Augmented Data Discovery (aka Smart Data Discovery), takes the enterprise beyond data monitoring and helps users discover the more subtle yet crucial factors that affect business success.

Statistics 40

Statistics Forecasting Machine Learning Business Intelligence 40

BI-Survey

FEBRUARY 14, 2022

Although many initiatives have already been realized around planning and forecasting in recent months, too many were just short-term fixes that did not bring the significant and lasting improvements required. This study examined the contribution modern planning and forecasting can make to corporate management. Are there better methods?

Forecasting 52

Forecasting Uncertainty Measurement Software 52

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.

Business Analysis 40

Business Analysis IT Sales Statistics 40

CIO Business Intelligence

AUGUST 24, 2023

Retraining, deployment, operations, testing—a lot of these features just aren’t available yet.” Would you put your client’s sales forecast into Facebook? Testing will only show the presence of errors, not the absence,” says Martin Fix, technology director at Star, a technology consulting company. “AI AI is a black box.

Uncertainty 97

Uncertainty Risk Testing Enterprise 97

O'Reilly on Data

MAY 21, 2019

Here are some typical ways organizations begin using machine learning: Build upon existing analytics use cases: e.g., one can use existing data sources for business intelligence and analytics, and use them in an ML application. Modernize existing applications such as recommenders, search ranking, time series forecasting, etc.

Machine Learning 234

Machine Learning Technology Deep Learning Data Science 234

Smarten

JUNE 29, 2018

Weather Forecasting – Based on temperature, humidity, pressure etc., a business can predict the likelihood of fraud. 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. About Smarten.

Enterprise 40

Enterprise IT Business Intelligence Forecasting 40

Smarten

JUNE 27, 2018

SVM Classification Analysis can be used for many analytical tasks: Credit/Loan Approval Analysis – Given a list of client transactional attributes, a business can predict whether a client will default on a loan. Weather Forecasting – Based on temperature, humidity, pressure etc. the organization can predict precipitation.

Business Analytics 40

Business Analytics Analytics IT Business Intelligence 40

Smarten

NOVEMBER 22, 2017

Advanced Analytics is comprised of numerous sophisticated analytical techniques, designed to parse, explore and analyze data and produce results to support business decisions.

Analytics 40

Analytics IT Business Intelligence Visualization 40

Smarten

JUNE 29, 2018

The KNN Classification algorithm is useful in determining probable outcome and results and in forecasting and predicting results, given the existence of multiple variables. About Smarten.

Enterprise 40

Enterprise Business Intelligence Predictive Modeling Statistics 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. The higher it is, the more sustainable is your company.

Metrics 141

Metrics KPI Measurement Dashboards 141

Smarten

JULY 3, 2017

For others, the image may be of an organization run amuck with business users leveraging sophisticated advanced analytics tools to create and share data that may be misinterpreted or distributed improperly. Advanced Data Discovery allows business users to perform early prototyping and to test hypothesis without the skills of a data scientist.

Predictive Modeling 40

Predictive Modeling Visualization Business Intelligence Experimentation 40

Birst BI

AUGUST 23, 2018

If your data science resources are strained, here is an example data scientist workflow that leverages Birst to speed up tasks throughout the application development lifecycle – data preparation, model development and testing with R integration, deployment into the business, and governance and management.

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

datapine

MARCH 22, 2019

For instance, if you’re offering a free test or trial of a product or service online, you’ll be able to capture NPS-based data and understand how to evolve your offerings to better meet the needs of your consumers. When you’re in the process of developing or service, your NPS will prove invaluable. Customer Satisfaction Metrics Dashboards.

Metrics 134

Metrics Dashboards Measurement Interactive 134

Rita Sallam

APRIL 2, 2023

SAS created, on top of the traditional statistical and machine learning models to predict events, a set of four unique models specifically focused on helping people impacted by flooding: An optimization network model (cost network flow algorithm) to optimally help displaced people reach public shelters and safer areas.

Optimization 52

Optimization Machine Learning Insurance Risk 52

Jet Global

MAY 1, 2023

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded Analytics Definition Embedded analytics are the integration of analytics content and capabilities within applications, such as business process applications (e.g., CRM, ERP, EHR/EMR) or portals (e.g.,

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52