CIO Business Intelligence

JUNE 7, 2022

Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance. Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes.

Data Analytics 132

Data Analytics Diagnostic Analytics Management Analytics 132

Smarten

JULY 23, 2019

What is Predictive Analytics and How Can it Help My Business? What is predictive analytics? Put simply, predictive analytics is a method used to forecast and predict the future results and needs of an organization using historical data and a comprehensive set of data from across and outside the enterprise.

Modeling 63

Modeling Predictive Analytics Predictive Modeling IT 63

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 122

Big Data Data Analytics Analytics Predictive Modeling 122

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

Smarten

SEPTEMBER 26, 2018

How Can My Business Use Assisted Predictive Modeling to Optimize Resources? There was a time, not so long ago, when predictive analysis, business forecasting and planning for results involved guesswork and lots of unscientific review of historical data.

Predictive Modeling 40

Predictive Modeling Predictive Analytics Forecasting Optimization 40

IBM Big Data Hub

SEPTEMBER 19, 2023

Having the right data strategy and data architecture is especially important for an organization that plans to use automation and AI for its data analytics. The types of data analytics Predictive analytics: Predictive analytics helps to identify trends, correlations and causation within one or more datasets.

Data Science 82

Data Science Data Analytics Prescriptive Analytics Analytics 82

Smarten

JANUARY 31, 2019

How is Advanced Analytics Different from Business Intelligence? Put simply, business Intelligence uses historical data to reveal where the business has been, and managers can use this data to predict competitive response and discover what is changing in customer buying behavior and in sales.

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

Smarten

JUNE 10, 2022

Predictive Modeling to support business needs, forecast, and test theories. Embedded BI to allow users to sign in to familiar enterprise apps and leverage APIs to integrate analytics within that application for intuitive use. Assisted Predictive Modeling.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

IBM Big Data Hub

JULY 6, 2023

One ride-hailing transportation company uses big data analytics to predict supply and demand, so they can have drivers at the most popular locations in real time. The company also uses data science in forecasting, global intelligence, mapping, pricing and other business decisions.

Machine Learning 57

Machine Learning Data Science Statistics Deep Learning 57

Smarten

JUNE 20, 2018

The business can use this information for forecasting and planning, and to test theories and strategies. For example, the decision to the ARIMA or Holt-Winter time series forecasting method for a particular dataset will depend on the trends and patterns within that dataset.

Forecasting 40

Forecasting Statistics Business Intelligence Predictive Modeling 40

IBM Big Data Hub

FEBRUARY 14, 2024

Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies. See what’s ahead AI can assist with forecasting. For example, a supply-chain function can use algorithms to predict future needs and the time products need to be shipped for timely arrival.

Cost-Benefit 86

Cost-Benefit Insurance Unstructured Data Machine Learning 86

Smarten

JUNE 29, 2018

Multiple linear regression models are useful in helping an enterprise to consider the impact of multiple independent predictors and variables on a dependent variable, and can be beneficial for forecasting and predicting results. About Smarten.

Business Analysis 40

Business Analysis IT Sales Statistics 40

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

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

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]

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

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

Smarten

NOVEMBER 3, 2017

Empowers business users with access to meaningful data to test theories and hypotheses without the assistance of data scientists or IT staff. Smart Visualization – Smart Data Visualization, suggests the best options for visualizing and plotting for a particular set or type of data, based on the nature, dimensions and trend of data.

Analytics 40

Analytics Visualization Experimentation Cost-Benefit 40

Cloudera

SEPTEMBER 7, 2023

The hybrid platform’s automation capabilities are crucial in this stage, allowing for more rapid adaptation and richer analytics. Push predictive analytics to optimize operations and enhance profitability. Formalize ethics and bias testing. Plan to scale for the future. Track market trends.

Insurance 79

Insurance Risk Data-driven Modeling 79

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

Smarten

DECEMBER 5, 2022

In this article, we provide a list with links that will detail some of the many analytical techniques your business users will employ and provide examples of how these techniques can be used to solve problems and identify opportunities with clear, easy techniques and results. Paired Sample T Test. ARIMAX Forecasting.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Testing 52

DataRobot

JANUARY 20, 2022

The UK’s National Health Service (NHS) will be legally organized into Integrated Care Systems from April 1, 2022, and this convergence sets a mandate for an acceleration of data integration, intelligence creation, and forecasting across regions. Public sector data sharing. . Grasping the digital opportunity.

Data-driven 145

Data-driven Experimentation Modeling Predictive Modeling 145

Cloudera

JANUARY 25, 2022

Dashboards often look in the rearview mirror, focusing on historical data and not on future insights – ie, predictive analytics. . The explosion of new and more accessible ML tooling means there’s never been a better time to take the leap into predictive analytics than right now. . Jump start your journey with AMPs.

Visualization 88

Visualization Machine Learning Predictive Analytics Data-driven 88

Smarten

JANUARY 24, 2019

With the right tools, today’s average business user can become a Citizen Data Scientist , using data integrated from various sources to learn, test theories and make decisions. AutoML comes into play as business users leverage systems and solutions that are designed with Machine Learning capabilities to predict outcomes and analyze data.

Machine Learning 40

Machine Learning Predictive Modeling Predictive Analytics Forecasting 40

datapine

NOVEMBER 27, 2019

Then, calculations will be run and come back to you with growth/trends/forecast, value driver, key segments correlations, anomalies, and what-if analysis. However, businesses today want to go further and predictive analytics is another trend to be closely monitored. Industries harness predictive analytics in different ways.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

JULY 3, 2017

Advanced Data Discovery allows business users to perform early prototyping and to test hypothesis without the skills of a data scientist. Tools like plug n’ play predictive analysis and smart data visualization ensure data democratization and drastically reduce the time and cost of analysis and experimentation. Yay or Nay?

Predictive Modeling 40

Predictive Modeling Visualization Business Intelligence Experimentation 40

Smarten

DECEMBER 3, 2023

Solution capabilities included self-serve data preparation , smart data visualization and predictive analytics for forecasting, etc. Augmented Analytics vs Predictive Analytics is not really a question.

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

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

MAY 2, 2019

An Advanced Analytics Platform should include self-serve data preparation, smart data visualization and assisted predictive modeling with natural language processing and machine learning that will support users with simple search analytics.

Analytics 0

Analytics Predictive Analytics Predictive Modeling Forecasting 0

Jet Global

SEPTEMBER 1, 2023

In this modern, turbulent market, predictive analytics has become a key feature for analytics software customers. Predictive analytics refers to the use of historical data, machine learning, and artificial intelligence to predict what will happen in the future.

Predictive Analytics 52

Predictive Analytics Risk Analytics Software 52

Jet Global

JULY 17, 2023

In fact, most project teams spend 60 to 80 percent of total project time cleaning their data—and this goes for both BI and predictive analytics. For example, survey data is missing because someone could not make it to an appointment, or an administrator misplaces the test results he is supposed to enter into the computer.

Predictive Analytics 52

Predictive Analytics Reporting Software Strategy 52

Jet Global

MAY 1, 2023

In a recent study by Mordor Intelligence , financial services, IT/telecom, and healthcare were tagged as leading industries in the use of embedded analytics. Healthcare is forecasted for significant growth in the near future. Later on, you’ll appreciate being able to test ideas and leverage best practices as your needs evolve.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52