Smarten

NOVEMBER 19, 2018

The process of predictive analytics has come far in the past decade. Today’s self-serve predictive analytics and forecasting tools are designed to support business users and data analysts alike. What is Predictive Analytics? Can Predictive Analytics Help You Achieve Business Objectives?

Business Objectives 40

Business Objectives Predictive Analytics Analytics Forecasting 40

Smarten

DECEMBER 17, 2018

Tools like Assisted Predictive Modeling allow the average business user to become a Citizen Data Scientist with tools that offer guidance and auto-suggestions to help the user arrive at the outcome they need without being frustrated or having to call in an army of analysts and IT staff to help them complete their analysis.

Predictive Analytics 40

Predictive Analytics Predictive Modeling Analytics Statistics 40

datapine

AUGUST 14, 2019

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. It helps to automate and makes the usage of the R programming statistical language easier and much more effective. perfect for statistical computing and design.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

NOVEMBER 14, 2022

These systems include file drawer and management reporting systems, executive information systems, and geographic information systems (GIS). They generally leverage simple statistical and analytical tools, but Power notes that some OLAP systems that allow complex analysis of data may be classified as hybrid DSS systems.

Data mining 127

Data mining Data-driven Statistics OLAP 127

FineReport

MARCH 24, 2024

By conducting extensive research and analysis, they generate reports that inform strategic decisions, identify areas for enhancement, and guide the implementation of new initiatives. Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios.

Statistics 52

Statistics Data mining Visualization Reporting 52

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? Autoregressive Integrated Moving Average (ARIMA) predicts future values of a time series using a linear combination of its past values and a series of errors. p: to apply autoregressive model on series.

Forecasting 40

Forecasting Enterprise IT Sales 40

IBM Big Data Hub

AUGUST 7, 2023

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. However, we have observed that greater value comes from employing ensemble methods to achieve more accurate and robust predictions.

Optimization 59

Optimization Forecasting Data-driven Strategy 59

Smart Data Collective

JULY 24, 2023

Analytics technology has been a huge gamechanger for the sports industry. Fortune Business Insights reports that the sports industry spent $2.98 billion on analytics last year. Nabil M Abbas of Towards Data Science talked about one of the most interesting ways that data analytics is changing the NBA. a year until 2030.

Analytics Technologies 79

Analytics Technologies Marketing Technology Analytics 79

Smarten

MARCH 13, 2018

That may seem like a tall order but with the right business intelligence software, you can provide predictive analytics for business users, including assisted predictive modeling that walks users through the analytical process and allows them to achieve the best results without a sophisticated knowledge of data analytical techniques.

Predictive Modeling 40

Predictive Modeling Modeling Analytics Predictive Analytics 40

Smarten

JUNE 20, 2018

The business can use this information for forecasting and planning, and to test theories and strategies. In prediction, the objective is to “model” all the components to some trend patterns to the point that the only component that remains unexplained is the random component. Stationary/Stationarity.

Forecasting 40

Forecasting Statistics Business Intelligence Predictive Modeling 40

datapine

NOVEMBER 5, 2019

Rather than having to wait days, weeks, or months for data reports , modern dashboards offer access to critical data-driven insights almost instantly. You access only one location where you look for insights, reports, analysis, and monitor your performance. Intelligent reporting. Predicting the future. Instant insights.

Dashboards 220

Dashboards Cost-Benefit Sales Metrics 220

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? About Smarten.

Business Analysis 40

Business Analysis IT Sales Statistics 40

Jedox

JULY 31, 2018

First-generation EPM software tools enabled normal business users to view their data from various angles and store it safely in a database specialized for flexible planning, analytics, and reporting. Compared to today’s standards, analytics was often limited to trying to describe past events, hence the name, descriptive analysis.

Technology 44

Technology Prescriptive Analytics Machine Learning Business Intelligence 44

Smarten

JUNE 29, 2018

Weather Forecasting – Based on temperature, humidity, pressure etc., an organization can predict if it will be rainy/sunny/windy tomorrow. a business can predict the likelihood of fraud. It is useful for making predictions and forecasting data based on historical results. About Smarten.

Enterprise 40

Enterprise IT Business Intelligence Forecasting 40

Data Science 101

OCTOBER 31, 2019

As taught in Data Science Dojo’s data science bootcamp , you will have improved prediction and forecasting with respect to your product. An in-depth analysis of trends can offer managers a much more reliable way to conduct planning and forecasts. You might be wondering what benefit you can get out of these techniques?

Data mining 77

Data mining KDD Data Science Forecasting 77

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. Medical Diagnosis – Given a list of symptoms, a doctor can predict if a patient has a particular disease.

Business Analytics 40

Business Analytics Analytics IT Business Intelligence 40

Smarten

JUNE 29, 2018

Business Benefit: Given the health and body profile of a patient and the recent treatments and drugs prescribed for the patient, the doctor can predict the probability and make recommendations on changes in treatment/drugs. About Smarten.

Enterprise 40

Enterprise Business Intelligence Predictive Modeling Statistics 40

datapine

MARCH 25, 2022

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. What Is Business Intelligence And Analytics?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Jet Global

JULY 11, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. We’ll explain what it is, how it works, and ways to start using demand forecasting with business intelligence software.

Business Intelligence 72

Business Intelligence Forecasting Data Warehouse Predictive Analytics 72

Birst BI

AUGUST 23, 2018

For example, there are a plethora of software tools available to automatically develop predictive models from relational data, and according to Gartner, “By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.” [1] Source: Gartner (April 2018).

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

Rita Sallam

JULY 22, 2016

And here we are now, past the tipping point of a more than 10 to 11 year transition away from IT-centric reporting platforms to modern BI and analytics platforms that make up much of the new buying in the BI and Analytics market. Q4: Are we going to discuss Predictive types of Analytics in this discussion?

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Jet Global

OCTOBER 1, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. We’ll explain what it is, how it works, and ways to start using demand forecasting with business intelligence software.

Business Intelligence 40

Business Intelligence Forecasting Data Warehouse Predictive Analytics 40

FineReport

JULY 18, 2022

FineReport is a business intelligence reporting and dashboard software that helps enterprises transform data into value. Key features: It supports connecting to almost all mainstream data sources so that you can analyze data from different sources in just one single report or dashboard. It also has a commercial version for enterprises.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

CIO Business Intelligence

JANUARY 26, 2023

They’re designed to work with multiple clouds and build reports that unify the data for easy consumption. Tracking costs is just one small part of a system that is constantly gathering statistics and watching for anomalies. Densify’s FinOps tool generates extensive reports to help keep application developers and bean counters happy.

Management 116

Management Forecasting Dashboards Optimization 116

datapine

MAY 16, 2019

A sobering statistic if ever we saw one. While there’s no quickfire solution or definitive answer to this question, we can say that investing in data-driven solutions, reporting tools , and leveraging the power of restaurant analytics will help you succeed in this most cutthroat of industries. Forecasting trends.

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

Smarten

JULY 10, 2018

This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools. Use Case(s): Weather Forecasting, Fraud Analysis and more.

Analytics 40

Analytics Forecasting Statistics Sales 40

datapine

AUGUST 29, 2022

7) Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die by Eric Siegel. Best for: someone who has heard a lot of buzz about predictive analytics, but doesn’t have a firm grasp on the subject. – Eric Siegel, author, and founder of Predictive Analytics World.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

datapine

NOVEMBER 19, 2019

Internal comms: Computer vision technology can serve to improve internal communication by empowering employees to perform their tasks more visually, sharing image-based information that is often more digestible and engaging than text-based reports or information alone. Artificial Intelligence (AI).

Technology 279

Technology Internet of Things IT IoT 279

FineReport

APRIL 24, 2024

This simplification allows stakeholders to grasp the underlying patterns and trends within the data without getting lost in the complexity of raw numbers and statistics. This foresight empowers organizations to proactively prepare for upcoming shifts or developments based on credible analytical forecasts.

Visualization 52

Visualization Dashboards Interactive Key Performance Indicator 52

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. What is the point of those obvious statistical inferences? Or more simply: given Y, find X.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

Smarten

OCTOBER 9, 2018

Predictive Analytics is no longer limited to data scientists. The benefits of augmented analytics and, specifically, of predictive analytics and assisted predictive modeling , are numerous, so there are plenty of reasons to embrace this approach and plenty of advantages of advanced analytics.

Predictive Analytics 40

Predictive Analytics Analytics Predictive Modeling Forecasting 40

Smarten

NOVEMBER 26, 2023

‘Find out how business intelligence and analytics technology can improve your enterprise, improve business user data literacy, and ensure analytical clarity and results with seamless, intuitive business intelligence and reporting.’ What is data democratization? What is data literacy?

Business Intelligence 40

Business Intelligence Data-driven Reporting Advertising 40

datapine

NOVEMBER 27, 2019

The development of business intelligence to analyze and extract value from the countless sources of data that we gather at a high scale, brought alongside a bunch of errors and low-quality reports: the disparity of data sources and data types added some more complexity to the data integration process. 3) Artificial Intelligence.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

JULY 9, 2018

This type of integration allows data scientists to perform statistical and predictive algorithms, and complex analysis to provide the depth of detail and advanced analytics and reporting the organization needs for strategic decision-making.

Predictive Modeling 40

Predictive Modeling Modeling Predictive Analytics ROI 40

Smarten

JULY 3, 2017

So, if a business users wants to find and analyze data, that user must depend on others to understand the user’s needs, gather the data and create the report. By the time the user receives the report, the data may be outdated or it may be presented in a way that makes it difficult to interpret and use. Yay or Nay?

Predictive Modeling 40

Predictive Modeling Visualization Business Intelligence Experimentation 40

Smarten

DECEMBER 3, 2023

You may wish to look for a solution that incorporates traditional BI with key performance indicators (KPIs) and flexible reporting and augmented analytics with AI, low-code and no-code technologies.’ What is self-service analytics? Augmented Analytics vs Predictive Analytics is not really a question.

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52