CIO Business Intelligence

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. What are the four types of data analytics?

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Smarten

MARCH 18, 2019

Data Science and Predictive Analytics Made Simple! Imagine a world where data science and predictive analytics tools are created for business users! Contact Us if you want an Advanced Analytics Solution that will support business users and enhance business results.

Predictive Analytics 40

Predictive Analytics Visualization Software Analytics 40

Jedox

MAY 17, 2022

Predictive analytics is a discipline that’s been around in some form since the dawn of measurement. We’ve always been trying to predict the future; go back in history to look at prognosticators like Nostradamus and many other prophets. A Brief History of Predictive Analytics. What is Predictive Analytics?

Predictive Analytics 81

Predictive Analytics Finance Forecasting Analytics 81

Smarten

JUNE 10, 2022

Why You Need Both BI Tools and Augmented Analytics and What to Consider When Selecting a Vendor ! Data Discovery including self-serve data preparation, smart data visualization with charts, graphs and other visualizations for clarity and decisions. Predictive Modeling to support business needs, forecast, and test theories.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

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

Sisense

JANUARY 26, 2020

In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. 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.

Predictive Analytics 78

Predictive Analytics Manufacturing Analytics Forecasting 78

Smarten

AUGUST 21, 2019

Discover the Smarten approach to Augmented Analytics and Advanced Data Discovery tools. 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.

Analytics 51

Analytics Predictive Modeling Visualization Statistics 51

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

JANUARY 31, 2019

Many organizations have grown comfortable with their business intelligence solution, and find it difficult to justify the need for advanced analytics. How is Advanced Analytics Different from Business Intelligence?

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

Smarten

SEPTEMBER 11, 2017

Plug n’ Play Predictive Analysis: Sophisticated, Yet Easy for Every User! Oh, the confusion of advanced analytical terminology. But, if you get the right Advanced Analytics Tools , you don’t have to worry about all of that because the tool will do the work for you. Assisted Predictive Modeling.

Predictive Modeling 61

Predictive Modeling Analytics Predictive Analytics Forecasting 61

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. Advanced analytics is the logical tool to help a business optimize its investments and achieve its goals.

Analytics 40

Analytics Predictive Modeling Visualization Cost-Benefit 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. Whether the company needs a comprehensive financial analytics strategy or process, R has become one of the most used data science tools to explore and manage data. Let’s get started.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smarten

JUNE 8, 2023

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. Working with real-time, clear, accurate information can make all the difference.

Optimization 67

Optimization Enterprise Business Intelligence Predictive Modeling 67

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.

Uncertainty 94

Uncertainty Management Forecasting Predictive Modeling 94

Smarten

NOVEMBER 22, 2019

Data literacy focuses on encouraging and nurturing data competencies and making your team members comfortable with the use of analytical tools, technology solutions and data comprehension and presentation, including a comfort level with data collection and analysis, data sharing and data-driven business decisions.

Predictive Modeling 67

Predictive Modeling Data-driven Forecasting Visualization 67

FineReport

APRIL 9, 2024

By integrating advanced analytics solutions, healthcare organizations can elevate their capacity for data-driven decision-making. The seamless integration of healthcare analytics empowers providers to extract actionable insights from complex datasets, thereby facilitating evidence-based decision support systems.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Smarten

NOVEMBER 3, 2017

The world of business analytics has changed dramatically in the past few years. If your business is looking to upgrade BI tools or to begin implementing an analytics solution, the solution must be user friendly for business users. These tools are necessary to business success in today’s market.

Analytics 40

Analytics Visualization Experimentation Cost-Benefit 40

IBM Big Data Hub

FEBRUARY 14, 2024

Creative AI use cases Create with generative AI Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

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. appeared first on IBM Blog.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

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.

Uncertainty 52

Uncertainty Management Forecasting Predictive Modeling 52

Sisense

SEPTEMBER 9, 2019

Mark’s team is constantly adapting to and meeting the challenges of a rapidly evolving business using cloud technologies, real-time analytics, data warehousing, and virtualization. Predicting Return Rates On New Products. Then we ran Kraken’s machine learning and predictive modeling engine to get the results.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

Smarten

JUNE 27, 2018

This article provides a brief explanation of the SVM Classification method of analytics. 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. Use Case – 1.

Business Analytics 40

Business Analytics Analytics IT Business Intelligence 40

bridgei2i

DECEMBER 15, 2021

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. Discover Weekly generates billions of new streams for Spotify through AI-powered hyper-personalization.

Recreation/Entertainment 52

Recreation/Entertainment Metadata Advertising Predictive Modeling 52

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

Smarten

JUNE 29, 2018

This article describes the analytical technique of multiple linear regression. 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

The Naive Bayes classifier assumes that every feature/predictor is independent, which is not always the case, so it is important to understand the type of data you are analyzing before choosing this, or any other, analytical technique. Weather Forecasting – Based on temperature, humidity, pressure etc., About Smarten.

Enterprise 40

Enterprise IT Business Intelligence Forecasting 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. AI-based machine learning and predictive analytics will start to give us more powerful crystal balls. Financial Modeling. Crystal ball.

Technology 52

Technology Forecasting Finance Data-driven 52

datapine

MARCH 25, 2022

1) What Is Business Intelligence And Analytics? If someone puts you on the spot, could you tell him/her what the difference between business intelligence and analytics is? We already saw earlier this year the benefits of Business Intelligence and Business Analytics. What Is Business Intelligence And Analytics?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Birst BI

AUGUST 23, 2018

Data scientists building AI applications require numerous skills – data visualization, data cleansing, artificial intelligence algorithm selection and diagnostics. Machine learning has been part of the Birst platform from day one to automate the most complex analytic processes and accelerate the time to insight.

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

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

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

IBM Big Data Hub

DECEMBER 20, 2023

For instance, if data scientists were building a model for tornado forecasting, the input variables might include date, location, temperature, wind flow patterns and more, and the output would be the actual tornado activity recorded for those days.

Machine Learning 82

Machine Learning Modeling Deep Learning Predictive Modeling 82

Rocket-Powered Data Science

SEPTEMBER 20, 2021

The data scientists need to find the right data as inputs for their models — they also need a place to write-back the outputs of their models to the data repository for other users to access. The BI team may be focused on KPIs, forecasts, trends, and decision-support insights. Insights discovery for everyone is achieved.

Data Science 285

Data Science Forecasting Business Intelligence Sales 285

DataRobot Blog

JUNE 24, 2022

Traditional analytical approaches and data sources hamper the decision-making process to draw clear assumptions on market trends and develop robust and comprehensive business cases. Also, they can scale the AI lifecycle at a fraction of the cost compared to in-house alternative analytical solutions. When AI Meets the Art of Possible.

Forecasting 52

Forecasting Machine Learning Marketing Data-driven 52

Smarten

JANUARY 30, 2019

Can Augmented Analytics Tools Improve Business User Analytics Adoption? When a business commits to data democratization and to improving data literacy, it must add advanced analytics tools that will support these initiatives. While they are performing Advanced Analytics , they are learning and becoming power users.

Analytics 40

Analytics Forecasting Predictive Modeling Visualization 40