IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 87

Data Science Data Analytics Prescriptive Analytics Analytics 87

FineReport

APRIL 9, 2024

From advanced analytics to predictive modeling, the evolving landscape of business intelligence is revolutionizing how data is processed and leveraged for actionable insights. In addition to these advancements, another prominent trend in data analysis is the growing impact of data visualization.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 122

Predictive Analytics Analytics Predictive Modeling Data mining 122

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

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

Jedox

APRIL 16, 2020

What does your economic forecast look like for the foreseeable future? Most organizations lack the analytic maturity to be able to turn to their team of data scientists and have them build intelligent prescriptive models that easily light up the road to success. Forecast realistic outcomes. Capture, Consolidate, Visualize.

Uncertainty 94

Uncertainty Management Forecasting Predictive Modeling 94

DataRobot

SEPTEMBER 17, 2021

This information is powerful, but ultimately the grocer needs to decide how many mangos to order for that store, and the prediction doesn’t tell them exactly what to do. Stocking exactly the 2,700 mangos will lead to empty shelves and disappointed customers if the forecast underestimates demand. That is the ultimate decision.

Forecasting 52

Forecasting Predictive Modeling Machine Learning Cost-Benefit 52

Jedox

MAY 17, 2022

What Predictive Analytics Cannot Forecast. Predictive Analytics Example in Finance. A Brief History of Predictive Analytics. No industry has attempted to do more with predictive analytics than the financial services industry. What is Predictive Analytics? What Predictive Analytics Cannot Forecast.

Predictive Analytics 83

Predictive Analytics Finance Forecasting Analytics 83

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. provides the user with visualizations, code editor, and debugging. connecting data sources and predicting future outcomes. Let’s get started.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smarten

JUNE 10, 2022

Recent studies have focused on the trends in business intelligence and augmented analytics, predicting that businesses will grow analytics within the enterprise with: Augmented Analytics to enable non-technical business users to create sophisticated data models. Assisted Predictive Modeling. Smart Data Visualization.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

IBM Big Data Hub

FEBRUARY 14, 2024

Other uses include Netflix offering viewing recommendations powered by models that process data sets collected from viewing history; LinkedIn uses ML to filter items in a newsfeed, making employment recommendations and suggestions on who to connect with; and Spotify uses ML models to generate its song recommendations.

Cost-Benefit 91

Cost-Benefit Insurance Unstructured Data Machine Learning 91

Smarten

JUNE 8, 2023

Working with real-time, clear, accurate information can make all the difference. Today’s business intelligence solutions provide mobile support for business users in an easy-to-use, self-serve environment, so every team member can participate in data analytics and use that data to perform their role and to make confident decisions.

Optimization 67

Optimization Enterprise Business Intelligence Predictive Modeling 67

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

Sisense

JANUARY 26, 2020

Building an accurate predictive analytics model isn’t easy. It’s a difficult process, but an effective predictive analytics engine is an enormous asset for any organization. Improve forecasts and maximize revenue. Just six months after implementing predictive analytics, their ecommerce sales increased by 50%!

Predictive Analytics 78

Predictive Analytics Manufacturing Analytics Forecasting 78

Smarten

JANUARY 31, 2019

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. How is Advanced Analytics Different from Business Intelligence?

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

Smarten

NOVEMBER 22, 2019

They simply have to be confident in the use of Augmented Analytics Tools and solutions that allow them to gather and analyze data for forecasting and planning, problem solving and understanding trends and patterns and changes in customer buying behavior, sales results etc.

Predictive Modeling 67

Predictive Modeling Data-driven Forecasting Visualization 67

Smarten

SEPTEMBER 11, 2017

Read a report, attend a conference and your head is swirling with terms like ‘assisted predictive modeling’, plug n’ play predictive analysis, smart visualization, augmented data discovery and augmented data preparation. Assisted Predictive Modeling. What could be better than that?

Predictive Modeling 61

Predictive Modeling Analytics Predictive Analytics Forecasting 61

Jedox

APRIL 16, 2020

What does your economic forecast look like for the foreseeable future? Most organizations lack the analytic maturity to be able to turn to their team of data scientists and have them build intelligent prescriptive models that easily light up the road to success. Forecast realistic outcomes. Capture, Consolidate, Visualize.

Uncertainty 52

Uncertainty Management Forecasting Predictive Modeling 52

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. Because data analysts often build machine learning models, programming and AI knowledge are also valuable. Deep learning algorithms are neural networks modeled after the human brain.

Machine Learning 62

Machine Learning Data Science Statistics Deep Learning 62

IBM Big Data Hub

MAY 17, 2024

Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad experiences that alienate consumers and businesses. AI models analyze vast amounts of data quickly and accurately.

B2B 40

B2B Interactive Optimization Forecasting 40

Smarten

APRIL 2, 2019

Business markets and competition are moving much more quickly these days and predicting, planning and forecasting is more important than ever.

Analytics 40

Analytics Predictive Modeling Visualization Cost-Benefit 40

Sisense

SEPTEMBER 9, 2019

We fed Kraken (BigSquid’s predictive analytics engine) information about historical warranty costs, claims, forecasts, historical product attributes, and attributes of the new products on the roadmap. Then we ran Kraken’s machine learning and predictive modeling engine to get the results. Lessons Learned. Be patient!

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

FineReport

MAY 29, 2020

Business Intelligence is commonly divided into four different types: reporting, analysis, monitoring, and prediction. Static reports cannot be changed by the end-users, while interactive reports allow you to navigate the report through various hierarchies and visualization elements. BI reporting is often called reporting.

Reporting 94

Reporting OLAP Visualization Software 94

FineReport

APRIL 9, 2024

The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making. Through the utilization of predictive models, clinicians can forecast patient outcomes and resource needs, enabling early intervention and personalized care delivery.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

bridgei2i

DECEMBER 15, 2021

Naturally, the change in consumer behavior prompted media companies to change their business models. Videos uploaded on streaming sites usually include detailed information about the visuals such as descriptions, emotions, and nature of the show. Anticipating Demand through Predictive Modelling on OTT.

Recreation/Entertainment 52

Recreation/Entertainment Metadata Advertising Predictive Modeling 52

Jet Global

APRIL 27, 2020

These new retail competitors understand the value of harnessing consumer insights and data to drive retail sales forecasting. It’s not enough to review financial results on a quarterly basis to inform budgeting and forecasting. New digital-native brands have popped up to challenge traditional retailers.

Finance 52

Finance Forecasting Sales Reporting 52

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

Jedox

JULY 23, 2019

These are often not “out of the box” solutions and will require us to spend time learning new skills in process automation, analytics and financial modeling. These will certainly give you lots of insight and some very narrowly defined foresight, but unlikely to ever be widely defined 3-way predictions for Finance. Financial Modeling.

Technology 52

Technology Forecasting Finance Data-driven 52

Smarten

NOVEMBER 3, 2017

Business users can quickly and easily prepare and analyze data and visualize and explore data, notate and highlight data and share data with others to identify the important ‘nuggets’, buried in traditional data, and to connect the dots, find exceptions, identify patterns and trends and better predict results.

Analytics 40

Analytics Visualization Experimentation Cost-Benefit 40

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

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. Assess and validate the model with analysts and business users. Assess and validate the model with analysts and business users.

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

Smarten

JUNE 27, 2018

To explore this technique further, let’s conduct the SVM classification using the following variables: Here we see a sample output for the actual versus predicted outcome. The prediction accuracy is useful criterion for assessing the model performance. Model with prediction accuracy >= 70% is useful.

Business Analytics 40

Business Analytics Analytics IT Business Intelligence 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 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

FineReport

APRIL 24, 2024

What is Data Visualization Understanding the Concept Data visualization, in simple terms, refers to the presentation of data in a visual format. By utilizing visual elements, data visualization allows individuals to grasp difficult concepts or identify new patterns within the data.

Visualization 52

Visualization Dashboards Interactive Key Performance Indicator 52

datapine

MARCH 25, 2022

While some experts try to underline that BA focuses, also, on predictive modeling and advanced statistics to evaluate what will happen in the future, BI is more focused on the present moment of data, making the decision based on current insights. Usage in a business context. The end-user is another factor to consider.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264