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

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.’ Market Changes. Access to Flexible, Intuitive Predictive Modeling. Online Target Marketing.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

IBM Big Data Hub

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes.

Data Science 83

Data Science Data Analytics Prescriptive Analytics Analytics 83

Smarten

APRIL 12, 2023

SnapShot Monitoring provides powerful data analytical features that reveal trends and anomalies and allow the enterprise to map targets and adapt to changing markets with clear, prescribed actions for continuous improvement. Smarten announces the launch of SnapShot Anomaly Monitoring Alerts for Smarten Augmented Analytics.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

CIO Business Intelligence

MAY 9, 2024

Collaboration also includes working with product teams on go-to-market opportunities. That includes IT, to align AI technologies with existing infrastructure; HR, on workforce development; finance, to understand funding and new business cost models; and legal and compliance, to ensure responsible use of AI.

Risk Management 130

Risk Management Risk Cost-Benefit Technology 130

IBM Big Data Hub

AUGUST 22, 2023

Digital twins and integrated data For the presentation layer, you can leverage various capabilities, such as 3D modeling, augmented reality and various predictive model-based health scores and criticality indices. Consider some of the examples of use cases from our clients in the industry: Visual insights.

Unstructured Data 79

Unstructured Data Consulting Visualization IoT 79

Smarten

JUNE 8, 2023

External forces from the global pandemic, combined with market competition have created an expectation on the part of team members who want to be able to work from home or other locations. Improved Time-to-Market No business can afford to fall behind! Today’s work environs are increasingly flexible.

Optimization 67

Optimization Enterprise Business Intelligence Predictive Modeling 67

CIO Business Intelligence

JUNE 7, 2022

Generally, the output of data analytics are reports and visualizations. Data analytics describes the current or historical state of reality, whereas data science uses that data to predict and/or understand the future. Data analytics and data science are closely related. Data analytics vs. business analytics.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

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. There are a number of tools available on the market, and knowing which one to choose to increase performance can be time-consuming, and often confusing. Let’s get started.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Juice Analytics

MARCH 11, 2021

At Juice, we’ve helped our clients launch dozens of data products that generate new revenue streams, differentiate their solutions in the market and build stronger customer relationships. 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

Smarten

JUNE 10, 2022

Obviously, when it comes to your competitive market space, your business does not want to exist in that 68% of the pie chart! Data Discovery including self-serve data preparation, smart data visualization with charts, graphs and other visualizations for clarity and decisions. Assisted Predictive Modeling.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

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.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

Smart Data Collective

SEPTEMBER 17, 2020

Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. There is significant competition in the industry, and emerging tactics and strategies must be accepted to survive the market competition. In this modern age, each business entity is driven by data. Perks Associated with Big Data.

Big Data 142

Big Data Finance Risk Management Risk 142

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. The 12-week data management course covers Python, data quality, data visualization, GDRP, and database management.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Smarten

NOVEMBER 8, 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.

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 52

Smart Data Collective

AUGUST 7, 2019

With the right log management tool, IT admins can easily access ready-made dashboards and generate reports which visualize essential events that lead to pre-emptive actions and sound decisions. This unstructured information is essential in effectively coming up with advertising and marketing campaigns that are data-driven.

Data Analytics 100

Data Analytics Analytics Big Data Data Lake 100

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

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

IBM Big Data Hub

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth.

Data mining 57

Data mining Machine Learning Deep Learning Marketing 57

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. Application #2: Creating and visualizing multi-variable relationships, which is particularly useful in creating predictive models. Is a market cap a driver?

Dashboards 74

Dashboards Predictive Modeling Visualization Modeling 74

CIO Business Intelligence

OCTOBER 13, 2023

Responsibilities include building predictive modeling solutions that address both client and business needs, implementing analytical models alongside other relevant teams, and helping the organization make the transition from traditional software to AI infused software.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

bridgei2i

DECEMBER 15, 2021

Naturally, the change in consumer behavior prompted media companies to change their business models. Today, almost all the major media houses have entered the OTT market and consumers enjoy seemingly limitless options for media consumption. Anticipating Demand through Predictive Modelling on OTT. billion by 2025.[1]

Recreation/Entertainment 52

Recreation/Entertainment Metadata Advertising Predictive Modeling 52

IBM Big Data Hub

FEBRUARY 14, 2024

Not only will this help scale the AOT tech across markets, but it will also help tackle integrations including additional languages, dialects and menu variations. Running on neural networks , computer vision enables systems to extract meaningful information from digital images, videos and other visual inputs.

Cost-Benefit 87

Cost-Benefit Insurance Unstructured Data Machine Learning 87

Jedox

APRIL 16, 2020

During this period of economic uncertainty, the Office of the CFO needs to be agile, responding to market trends, resource availability, and operational issues. Capture, Consolidate, Visualize. Once your models are in place, it is essential to realize that this is a dynamic process that needs to be reassessed continuously.

Uncertainty 94

Uncertainty Management Forecasting Predictive Modeling 94

DataRobot

JANUARY 13, 2022

It offers a visual and intuitive UI that enables anyone to explore and prepare data for machine learning, no matter their previous machine-learning experience. It’s easy to deploy, monitor, and manage models in production and react to changing conditions. And any predictive model can become an AI app in minutes—no coding required.

ROI 52

ROI Machine Learning Experimentation Data Science 52

Smarten

FEBRUARY 17, 2022

The use of real data allows the business to better plan, adjust to the realities of the market and make real-time, confident decisions.

Predictive Modeling 76

Predictive Modeling Digital Transformation Enterprise Data Science 76

CIO Business Intelligence

AUGUST 23, 2023

“Applying machine learning techniques using quantum computing capability prepares the models better and faster,” Vaidya says. Today, it takes a while to create and deploy models and visualize the outcomes, but with quantum some parts of it can be greatly accelerated.”

IT 96

IT Machine Learning Risk Optimization 96

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

CIO Business Intelligence

OCTOBER 12, 2023

We made that visually appealing to people. We made that visually appealing to people. This is a tool that not only our internal sales and marketing teams use to drive more business to Generac, but it’s also now in the hands of our dealers, our customers, to leverage them to sell more of our stuff as well.

IoT 126

IoT Manufacturing Strategy Modeling 126

Smarten

OCTOBER 25, 2017

Advanced Data Discovery allows business users to quickly and easily prepare and analyze data and visualize and explore data. Happily, Advanced Data Discovery Tools have evolved, and with this natural progression, business users can now leverage advanced analytics and become true Citizen Data Scientists.

Predictive Modeling 63

Predictive Modeling Statistics Visualization Business Analytics 63

Smarten

MAY 9, 2024

Here, we examine the benefits of Augmented Analytics and how to plan and successfully execute an Augmented Analytics initiative.

Optimization 52

Optimization Analytics Marketing Enterprise 52

Domino Data Lab

JULY 28, 2021

There are many software packages that allow anyone to build a predictive model, but without expertise in math and statistics, a practitioner runs the risk of creating a faulty, unethical, and even possibly illegal data science application. All models are not made equal.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Jedox

MAY 17, 2022

Visual forecasting , which is a polite way of saying get out a ruler and draw lines on paper. Thus, no predictive model works to predict elections, despite the best efforts of many to the contrary. Predictive analytics cannot predict randomness, things which have neither seasonality nor cyclicality.

Predictive Analytics 81

Predictive Analytics Finance Forecasting Analytics 81

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

IBM Big Data Hub

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining. It’s also necessary to understand data cleaning and processing techniques.

Machine Learning 59

Machine Learning Data Science Statistics Deep Learning 59

Sisense

AUGUST 11, 2019

Typically, this involves using statistical analysis and predictive modeling to establish trends, figuring out why things are happening, and making an educated guess about how things will pan out in the future. BA primarily predicts what will happen in the future. What About “Business Intelligence”? Choosing the Right Tech.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

Jedox

APRIL 16, 2020

During this period of economic uncertainty, the Office of the CFO needs to be agile, responding to market trends, resource availability, and operational issues. Capture, Consolidate, Visualize. Once your models are in place, it is essential to realize that this is a dynamic process that needs to be reassessed continuously.

Uncertainty 52

Uncertainty Management Forecasting Predictive Modeling 52

Smarten

JUNE 25, 2018

KMeans Clustering can be applied to segment customers by purchasing history, segment users by the activities they perform on a website, define demographic profiles based on interests, and recognize market patterns. Business Benefit: Once the segments are identified, marketing messages and even products can be customized for each segment.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40