Smarten

MARCH 18, 2019

That world exists today with the evolution of sophisticated, yet easy-to-use tools that include predictive analytics for business users, visual analytics software and tools, and self-serve data preparation.

Predictive Analytics 40

Predictive Analytics Visualization Software Analytics 40

CIO Business Intelligence

JULY 5, 2022

Research firm Gartner defines business analytics as “solutions used to build analysis models and simulations to create scenarios, understand realities, and predict future states.”. Business analytics also involves data mining, statistical analysis, predictive modeling, and the like, but is focused on driving better business decisions.

Business Analytics 132

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 132

CIO Business Intelligence

AUGUST 23, 2023

That need for complex mathematical modeling at scale makes the finance industry a perfect candidate for the promise of quantum computing, which makes (extremely) quick work of computations, including complex ones, delivering results in minutes or hours instead of weeks and months.

IT 84

IT Machine Learning Risk Optimization 84

Smarten

JUNE 17, 2022

Smarten Augmented Analytics tools include Assisted Predictive Modeling , Smart Data Visualization , Self-Serve Data Preparation , Sentiment Analysis , and Clickless Analytics with natural language processing (NLP) for search analytics. CERT-IN also issues advisories, guidelines and white papers for security practices.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

FineReport

APRIL 21, 2024

Additionally, there is a growing demand for advanced analytics and data visualization tools to make data-driven decisions. Key Features of SaaS BI Tools When it comes to SaaS BI tools , one of the key features that sets them apart is their ability to provide real-time data access and visualization.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

Smarten

OCTOBER 25, 2023

Among the top considerations: Self-Service BI Collaborative Features Mobile BI Data Visualization Citizen Data Scientist Support Augmented Analytics If you are looking for the right BI tools or augmented analytics and data discovery solution, be sure to consider the mobility of the solution, and its ease-of-use and ease-of-access.

Visualization 67

Visualization Predictive Modeling Machine Learning Business Intelligence 67

DataKitchen

JUNE 19, 2023

Our customers start looking at the data in dashboards and models and then find many issues. Perhaps we could just chill out in those stressful situations and “let go,” as the Buddha suggests. The spiritual benefits of letting go may be profound, but finding and fixing the problem at its root is, as Samuel Florman writes, “ existential joy.”

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

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 119

Predictive Analytics Analytics Predictive Modeling Data mining 119

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.’ It is meant to identify crucial relationships and opportunities and risks and help the organization to accurately predict: Growth.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

CIO Business Intelligence

JUNE 7, 2022

Monte Carlo simulation: According to Investopedia , “Monte Carlo simulations are used to model the probability of different outcomes in a process that cannot easily be predicted due to the intervention of random variables.” What is data analytics? Data analytics is a discipline focused on extracting insights from data.

Data Analytics 133

Data Analytics Diagnostic Analytics Management Analytics 133

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 82

Data Science Data Analytics Prescriptive Analytics Analytics 82

IBM Big Data Hub

AUGUST 22, 2023

It uses real-world data (both real time and historical) combined with engineering, simulation or machine learning (ML) models to enhance operations and support human decision-making. Along with the open technology foundation, it is important that the models are trusted and targeted to the business domain. Asset performance management.

Unstructured Data 77

Unstructured Data Consulting Visualization IoT 77

CIO Business Intelligence

APRIL 22, 2022

Data science could help an organization build tools to predict hardware failures, enabling the organization to perform maintenance and prevent unplanned downtime. It could help predict what to put on supermarket shelves, or how popular a product will be based on its attributes. Data must be collected and cleaned.

Data Science 139

Data Science Statistics Machine Learning Visualization 139

Juice Analytics

JULY 6, 2018

Gathering a collection of visualizations and calling it a data story is easy (and inaccurate). Putting data on a screen is easy. Making it meaningful is so much harder. Making data-driven narrative that influences people.hard. Schedule a demo.

Slice and Dice 83

Slice and Dice Predictive Modeling Visualization Data-driven 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. Not to forget various areas of data scientists employed in, from academia to IT companies.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smarten

MARCH 12, 2020

A solution that provides a balance between data agility and access and data governance and security can provide solid, dependable information and the ability for users to leverage Self-Serve Data Preparation , Assisted Predictive Modeling and Smart Data Visualization while protecting the organization from risk and mitigating security issues.

Data Governance 67

Data Governance Predictive Modeling Data-driven Visualization 67

Smarten

APRIL 12, 2023

Smarten Augmented Analytics tools include Assisted Predictive Modeling , Smart Data Visualization , Self-Serve Data Preparation , Sentiment Analysis , and Clickless Analytics with natural language processing (NLP) for search analytics.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

Smarten

JUNE 10, 2022

Data Discovery including self-serve data preparation, smart data visualization with charts, graphs and other visualizations for clarity and decisions. Data Discovery including self-serve data preparation, smart data visualization with charts, graphs and other visualizations for clarity and decisions.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

BizAcuity

APRIL 1, 2023

There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics. Exploratory Data Analysis (EDA) EDA is used to analyze data and summarize their main properties and characteristics using visual techniques.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

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

BizAcuity

JANUARY 18, 2023

There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics. EDA is used to analyze data and summarize their main properties and characteristics using visual techniques. Predictive Analytics. Predictive modeling for flagging suspicious activity.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

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

Juice Analytics

MARCH 11, 2021

3) That’s where our data visualization and user experience capabilities helped them turn this data into a web-based analytical tool that focused users on the metrics and peer groups they cared about. There are many paths to consider: Visual representations that reveal patterns in the data and make it more human readable.

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

Sisense

MARCH 27, 2019

Unlike traditional models that look at historical data for patterns, real-time analytics focuses on understanding information as it arrives to help make faster, better decisions. To provide real-time data, these platforms use smart data storage solutions such as Redshift data warehouses , visualizations, and ad hoc analytics tools.

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74

Smarten

APRIL 18, 2023

The enterprise must provide self-serve tools including self-serve data preparation, assisted predictive modeling, smart data visualization and natural language processing (NLP) capability that will allow users to ask questions and get information in a Google-type environment, without coding or programming or the assistance of the IT team.

Digital Transformation 52

Digital Transformation Predictive Modeling Data Quality Enterprise 52

CIO Business Intelligence

APRIL 25, 2022

The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills. It culminates with a capstone project that requires creating a machine learning model. Data Science Dojo.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

DataRobot

NOVEMBER 1, 2021

Practitioners in the AI space are focused on the speed and accuracy of model predictions. But the end game for the applicability of models is not in the predictions, but the decisions they enable, and predictive models alone don’t ensure better decisions. What Is Decision Intelligence?

Machine Learning 98

Machine Learning Manufacturing Predictive Modeling Optimization 98

Smart Data Collective

SEPTEMBER 17, 2020

Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. Big Data can efficiently enhance the ways firms utilize predictive models in the risk management discipline. In this modern age, each business entity is driven by data. The Underlying Concept. Perks Associated with Big Data.

Big Data 140

Big Data Finance Risk Management Risk 140

DataRobot

SEPTEMBER 17, 2021

So they create business or “decision rules” that act on the output of their predictive models to add business best practices and standardize decision-making across the organization. Some companies build models but never put them into production because they lack the necessary decision infrastructure.

Forecasting 52

Forecasting Predictive Modeling Machine Learning Cost-Benefit 52

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

Smarten

JUNE 25, 2019

Augmented analytics allows for data prep, Smart Data Visualization and Assisted Predictive Modeling with the help of machine learning and natural language processing (NLP), so users need not be trained as data scientists to get to the heart of the data and find those elusive nuggets of information that will help them create, change and improve.

Analytics 51

Analytics Predictive Modeling Visualization Machine Learning 51

Smarten

JANUARY 31, 2019

Today’s Advanced Analytics Tools allow business users to leverage features like self-serve data preparation, smart data visualization and assisted predictive modeling. Many organizations have grown comfortable with their business intelligence solution, and find it difficult to justify the need for advanced analytics.

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

Smarten

NOVEMBER 22, 2019

Augmented analytics and tools like Smart Visualization and Self-Serve Data Preparation , as well as Assisted Predictive Modeling can provide guidance and auto-suggestions and recommendations to make users more comfortable in adopting analytics and achieving positive outcomes.

Predictive Modeling 67

Predictive Modeling Data-driven Forecasting Visualization 67

Smarten

NOVEMBER 8, 2022

Participants will gain a basic understanding of applicable analytical techniques, including predictive analytics, how to apply these techniques to real world business use cases and the augmented analytics tools they can use to make fact-based decisions and move the organization forward. There are no prerequisites for this course.

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 52

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 Software Visualization 94

The Data Visualisation Catalogue

APRIL 4, 2019

I’ve implemented DataView in my own work and find it an excellent way to organize investment information, do data discovery and create predictive models. Even though I had charts and dashboards at my disposal, it was still tough to make sense of it all. Especially when it came to multi-dimensional data.

Dashboards 75

Dashboards Predictive Modeling Visualization Modeling 75

Smarten

JUNE 27, 2018

Smarten Augmented Analytics tools include plug n’ play predictive analytics , assisted predictive modeling , smart data visualization , self-serve data preparation and clickless analytics for search analytics with natural language processing (NLP).

IT 40

IT Business Intelligence Predictive Modeling Testing 40