DataRobot Blog

NOVEMBER 8, 2022

In a world that is increasingly outcome-focused and platform-based, we have integrated strategy and predictive analytics to move at the speed of our clients’ decisions and established a scalable framework for uncovering and acting on insights in an organized, simple, and transparent operating model. See DataRobot AI Cloud in Action.

Predictive Analytics 59

Predictive Analytics Marketing Analytics Data-driven 59

Birst BI

OCTOBER 30, 2018

Remember when you began your career and the prospect of retirement was an event in the distant future? An analytics alternative that goes beyond descriptive analytics is called “Predictive Analytics.”. Predictive Analytics: Predicting Future Outcomes.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

BizAcuity

FEBRUARY 15, 2019

With more and more information became readily available online in the mid 2000s, companies started taking advantage of it by leveraging big data analytics. Some businesses in 2003 started using predictive analytics generating an average Return on Investment or ROI of 145% as per the study that was undertaken by IDC.

Sales 67

Sales Analytics B2B ROI 67

Decision Management Solutions

JUNE 25, 2019

We like to use decision modeling on analytic projects precisely for this reason – the decision model represents a visual map of the domain expertise that the analytics team can use to frame their work. If you haven’t been to Predictive Analytics World, or if it has been a few years, plan to go next year!

Predictive Analytics 75

Predictive Analytics Analytics Data Science Experimentation 75

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. 2) Data Discovery/Visualization. Data exploded and became big.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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.”. Descriptive analytics uses historical and current data to describe the organization’s present state by identifying trends and patterns.

Business Analytics 131

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 131

datapine

MARCH 8, 2021

By utilizing interactive digital dashboards, it’s possible to leverage data to transform metrics into actionable insights to spot weaknesses, identify strengths, and predict events before they occur. This perfect storm of visual information ultimately makes healthcare institutions safer, more productive, and more intelligent.

Reporting 198

Reporting KPI Management Cost-Benefit 198

AWS Big Data

MAY 16, 2024

In our increasingly interconnected world, where every step we take, every location we visit, and every event we encounter leaves a digital footprint, the volume and complexity of geospatial data are expanding at an astonishing pace. This often overwhelms traditional visualization tools and methods. But what makes them special?

Data Warehouse 109

Data Warehouse Visualization Cost-Benefit Optimization 109

Occam's Razor

NOVEMBER 18, 2014

Like a vast majority on planet Earth, I love data visualizations. Ok, so perhaps as the author of two bestselling books on analytics I love it a little bit more! A day-to-day manifestation of this love is on my Google+ or Facebook profiles where 75% of my posts are related to my quick analysis and learnings from a visualization.

Visualization 143

Visualization Slice and Dice Predictive Modeling Metrics 143

CIO Business Intelligence

NOVEMBER 14, 2022

These models are used to establish relationships between events and factors related to that event. It features support for creating and visualizing decision tree–driven customer interaction flows. The number and types of models depend on the purpose of the DSS. Commonly used models include: Statistical models. Parmenides Edios.

Data mining 135

Data mining Data-driven Statistics OLAP 135

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 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

IBM Big Data Hub

JULY 24, 2023

It tracks four important pillars: metrics, events, logs and traces (MELT) to understand the behavior, performance, and other aspects of cloud infrastructure and apps. Incident management enables DevOps teams to address unplanned events like server crashes or other service quality issues as quickly as possible.

IT 57

IT Analytics Cost-Benefit Predictive Analytics 57

datapine

OCTOBER 21, 2020

Summing up the product of all this work, the data science team developed a web-based user interface that forecasts patient loads and helps in planning resource allocation by utilizing online data visualization that reaches the goal of improving the overall patients’ care. 8) Predictive Analytics In Healthcare.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

Jet Global

APRIL 12, 2024

If you want to empower your users to make better decisions, advanced analytics features are crucial. These include artificial intelligence (AI) for uncovering hidden patterns, predictive analytics to forecast future trends, natural language querying for intuitive exploration, and formulas for customized analysis.

Analytics 52

Analytics Data-driven Dashboards Reporting 52

datapine

MARCH 25, 2020

Automated reports completely eliminate traditional means of communicating data since they rely on business reporting software that uses cutting edge business intelligence, technology and smart features such as interactivity, a drag-and-drop interface, and predictive analytics, among others. We offer a 14-day free trial.

Reporting 209

Reporting Dashboards Manufacturing Visualization 209

datapine

JANUARY 6, 2022

Through the art of streamlined visual communication, data dashboards permit businesses to engage in real-time and informed decision-making and are key instruments in data interpretation. Typically, quantitative data is measured by visually presenting correlation tests between two or more variables of significance.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

datapine

JANUARY 31, 2022

BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. Business intelligence can also be referred to as “descriptive analytics”, as it only shows past and current state: it doesn’t say what to do, but what is or was.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Jet Global

FEBRUARY 21, 2024

White-labelled embedded analytics software kicks this up a notch, but allowing you to beautify dashboards with your customer’s personal branding, guaranteed to catch the eye of their buying team. The Embedded Analytics Buyer’s Guide Download Now 2. I understand that I can withdraw my consent at any time. Privacy Policy.

Analytics 52

Analytics Dashboards Predictive Analytics Software 52

AWS Big Data

MARCH 26, 2024

Amazon Kinesis ingests streaming events in real time from point-of-sales systems, clickstream data from mobile apps and websites, and social media data. You could also consider using Amazon Managed Streaming for Apache Kafka (Amazon MSK) for streaming events in real time. You need to process this to make it ready for analysis.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Cloudera

FEBRUARY 8, 2021

To accomplish this, ECC is leveraging the Cloudera Data Platform (CDP) to predict events and to have a top-down view of the car’s manufacturing process within its factories located across the globe. . STEP 4: Generate data visualization dashboards and reports. Stay tuned for the next one! More Data Collection Resources.

Manufacturing 116

Manufacturing Data Warehouse Sales Predictive Analytics 116

Smart Data Collective

APRIL 20, 2019

A few years ago, I was at a networking event in Rohnert Park, California. While attending this event, I handed out a business card to a woman that worked as a patent attorney. They might assume that using certain colors or other visual elements on their business card will be more appealing.

Big Data 81

Big Data Marketing Predictive Analytics IoT 81

Jet Global

MARCH 25, 2024

According to insightsoftware and Hanover Research’s recent Embedded Analytics Insights Report , AI and predictive analytics were rated among the most important trends of the next five years. The Impact of AI on Business Intelligence In recent years, developers have turned to AI to provide a clear vision of the future.

Business Intelligence 52

Business Intelligence Predictive Analytics Reporting Enterprise 52

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. They can also help businesses predict future events and understand why past events occurred.

Cost-Benefit 85

Cost-Benefit Insurance Unstructured Data Machine Learning 85

datapine

JUNE 15, 2023

A performance report is an analytical tool that offers a visual overview of how a business is performing in a specific strategy, project, or department. Plus, the real-time nature of these analytical tools enables them to spot any issues and tackle them immediately. What Is A Performance Report?

Reporting 207

Reporting Dashboards Cost-Benefit Sales 207

CIO Business Intelligence

JUNE 16, 2022

Tools such as the no-code process modeler called Studio, however, can track all forms of business events, offering more than 60 widgets that can be strung together to model any business process. The visual coding solution also supports various AI algorithms for automating some decisions.

Management 114

Management Insurance Software Digital Transformation 114

Jet Global

MAY 23, 2024

By investing in an embedded analytics solution that features AI-powered predictive analytics, you can integrate advanced analytics directly into your customers’ platforms, enhancing the application’s value proposition to end-users and creating additional revenue streams through analytics-driven features and premium analytics functionalities.

Analytics 52

Analytics Reporting Software Predictive Analytics 52

Jet Global

JANUARY 19, 2024

Here are some of the top trends from last year in embedded analytics: Artificial Intelligence : AI and embedded analytics are synergistic technologies that, when combined, offer powerful capabilities for data-driven decision-making within applications. Scalability : Think of growing data volume and performance here.

Analytics 52

Analytics Dashboards Visualization Data-driven 52

Sisense

AUGUST 14, 2020

The SOINN method converts binary files to visual representations and in doing so has achieved over 94% accuracy in detecting files infected with viruses! By using a visual representation of code, the virus code can be detected without running the code and endangering the test system. Predictive analytics AI boosts web app performance.

Machine Learning 98

Machine Learning Visualization Predictive Analytics Testing 98

Jet Global

APRIL 24, 2024

Logi Symphony is a powerful embedded business intelligence and analytics software suite that empowers independent software vendors and application teams to embed analytical capabilities and data visualizations into your SaaS applications. Ready to learn more? I understand that I can withdraw my consent at any time.

Business Intelligence 52

Business Intelligence Dashboards Software Reporting 52

Smart Data Collective

NOVEMBER 18, 2020

Complex mathematical algorithms are used to segment data and estimate the likelihood of subsequent events. Data Mining Techniques and Data Visualization. Every Data Scientist needs to know Data Mining as well, but about this moment we will talk a bit later. Where to Use Data Science? Data Mining is an important research process.

Data mining 143

Data mining Data Science Informatics Statistics 143

Smarten

MAY 24, 2018

ElegantJ BI, an innovative vendor in Business Intelligence, Augmented Analytics and Augmented Data Preparation, is pleased to announce its participation in the Gartner 2018 INDIA Data & Analytics Summit from 5 – 6th June 2018 in Mumbai, India. ElegantJ BI is proud to be a Silver Sponsor at this important event.

Analytics 40

Analytics Data Analytics Data mining Predictive Modeling 40

FineReport

APRIL 26, 2023

Descriptive Analytics is used to determine “what happened and why.” ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. How to Choose the Right Big Data Analytics Tools? Having visually appealing graphics can also increase user adoption.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

datapine

NOVEMBER 19, 2019

Exciting and futuristic, the concept of computer vision is based on computing devices or programs gaining the ability to extract detailed information from visual images. Visual analytics: Around three million images are uploaded to social media every single day. Artificial Intelligence (AI).

Technology 279

Technology Internet of Things IT IoT 279

Sisense

JUNE 9, 2021

Heat map data visualizations have shown teams that keep possession of the ball and maintain high intensity are most likely to score goals and win games. Coaches can identify different types of interactions and encode different types of events. Enhanced coaching: Real-time data and predictive analytics.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

CIO Business Intelligence

APRIL 14, 2022

So, while the company’s core development platform is Google Cloud, the company also uses Microsoft Azure for analytics, and will soon run SAP CommerceCloud on Azure as well. As for its in-house efforts, ATD’s work on its integration layer began with the open source version of MongoDB’s NoSQL database.

B2B 92

B2B Digital Transformation Data Lake Sales 92

Rocket-Powered Data Science

JULY 7, 2019

Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics). 7) Security (airports, shopping malls, entertainment & sport events). Algorithm: A set of rules to follow to solve a problem or to decide on a particular action (e.g.,

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Jet Global

FEBRUARY 1, 2024

Focus on core features and innovations, knowing analytics are covered. See the Future with Predictive Analytics In today’s volatile market, anticipating trends and minimizing risks is key. Develop a library of pre-built templates, integrate data visualization tools, and enable easy sharing and collaboration.

Analytics 52

Analytics Dashboards Reporting Marketing 52