Sisense

JUNE 30, 2020

The role of visualizations in analytics. Data visualization can either be static or interactive. Interactive visualizations enable users to drill down into data and extract and examine various views of the same dataset, selecting specific data points that they want to see in a visualized format.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Smart Data Collective

APRIL 20, 2019

We previously published an article on the state of direct mail marketing. They can track engagement patterns from websites, focus groups and other interactions. Using predictive analytics to continually update business cards. Predictive analytics is one of the most useful advances in big data.

Big Data 81

Big Data Marketing Predictive Analytics IoT 81

Smarten

OCTOBER 31, 2022

GeoMap support with interactive maps. Publishing and delivery agent. Advanced Augmented Analytics Advantages. What-If Analysis to test pricing, budget and cost information. Out-of-the-Box Mobile BI tools for access from anywhere. Personalized alerts. Real time and cached data management. Intuitive, informative reporting.

Key Performance Indicator 67

Key Performance Indicator Analytics Cost-Benefit Predictive Modeling 67

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

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. Managed interactive dashboards and pixel-perfect reporting. Want to learn more?

Business Intelligence 52

Business Intelligence Predictive Analytics Reporting Enterprise 52

Smart Data Collective

JULY 9, 2023

Not only can such patterns create a greater awareness of user interactions, but they can also provide invaluable data on where improvements can be made. Several organizations and research firms publish e-commerce conversion rate benchmarks based on industry data and trends.

Optimization 74

Optimization Data Analytics Analytics Data-driven 74

Decision Management Solutions

APRIL 15, 2019

In February, we published a blog post on “Using Technology to Add Value in Insurance.” The fact is that most carriers’ interactions with customers are limited to an initial policy purchase, handling a claim or other customer service-related issue, and policy renewal. Sell More. Manage Risk Better (aka underwriting and adjusting).

Insurance 63

Insurance Technology Predictive Analytics Sales 63

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

Jet Global

APRIL 18, 2024

Customizable dashboards with drag-and-drop functionality and interactive features empower users to personalize their experience and uncover deeper insights. Self-service analytics further boost user autonomy, allowing them to explore data and answer questions independently. Basic reporting is no longer enough. Ready to learn more?

Marketing 52

Marketing Analytics Data Processing Cost-Benefit 52

CIO Business Intelligence

FEBRUARY 14, 2023

AI continues to transform customer engagements and interactions with chatbots that use predictive analytics for real-time conversations. Cloud-native apps, microservices and mobile apps drive revenue with their real-time customer interactions.

Data Strategy 113

Data Strategy Strategy Machine Learning Data-driven 113

Ontotext

SEPTEMBER 2, 2020

Ontotext has been working with clients from internationally renowned names in news such as the BBC, nationally vital wire services such as the Press Association and respected STM publishers and specialist investment information agencies. markets, financial instruments, indicators, currency pairs, economic conditions, etc.).

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

Smarten

JANUARY 7, 2020

Disparate data sources are integrated into a uniform view, so users can drag and drop data and interact with the tools. BI dashboards are more flexible and support personalization. They are no longer restricted to formats and delivery designed by IT. Original Post: What is Modern BI and How is it Different From Traditional BI?

IT 52

IT Business Intelligence ROI Reporting 52

IBM Big Data Hub

JULY 11, 2023

This sort of routine monitoring and scheduling takes tasks off the hands of clinical staff, who can then spend more time directly on patient care, where human judgment and interaction matter most. Another published study found that AI recognized skin cancer better than experienced doctors.

Deep Learning 57

Deep Learning Cost-Benefit Insurance Machine Learning 57

Smart Data Collective

DECEMBER 19, 2019

Future of Humanity Institute published a report recently. The AI-enabled antiviruses utilize ML techniques to understand and learn how legitimate programs interact with an OS. The main objective here is to understand and learn how the user interacts with the system. Malicious Use of Artificial Intelligence.

Machine Learning 61

Machine Learning Reporting Testing Marketing 61

IBM Big Data Hub

AUGUST 7, 2023

2,3 When clinical trials are prematurely discontinued due to trial site underperformance, the research questions remain unanswered and research findings end up not published. AI empowers real-time site performance monitoring and forecasting by automating data analysis, providing timely alerts and insights, and enabling predictive analytics.

Optimization 57

Optimization Forecasting Data-driven Strategy 57

Jet Global

AUGUST 1, 2023

We see the same analytics challenges time and time again: Disjointed user experience — A lack of customization and functionality prevents your users from viewing data in a way that satisfies their needs. Limited self-service and interactivity features may not match the skill levels of those that use them.

Analytics 52

Analytics Dashboards Business Intelligence Reporting 52

Howard Dresner

DECEMBER 14, 2013

Many agreed that trying to change a user’s adoption of and interaction with BI tools on a daily basis is difficult; one tweet compared it to trying to change someone’s religion or belief system. Mobile apps have the characteristics that “good BI” should have: agile, visual, interactive and intuitive. Unfortunately this seldom occurs.

Business Intelligence 40

Business Intelligence Interactive Data Processing Predictive Analytics 40

Jet Global

MAY 1, 2023

As rich, data-driven user experiences are increasingly intertwined with our daily lives, end users are demanding new standards for how they interact with their business data. When visualizations alone aren’t enough to set an application apart, is there still a way for product teams to monetize embedded analytics?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Cloudera

SEPTEMBER 12, 2018

Commonwealth Bank of Australia worked with Cloudera to implement a modern data platform with an AI-powered customer decisioning layer that dramatically improves how the bank interacts with its customers. Voya Financial prevented millions of dollars of fraudulent transactions by deploying predictive analytic capabilities on Cloudera.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

IBM Big Data Hub

JULY 17, 2023

offers a Prompt Lab, where users can interact with different prompts using prompt engineering on generative AI models for both zero-shot prompting and few-shot prompting. 1 When comparing published 2023 list prices normalized for VPC hours of watsonx.data to several major cloud data warehouse vendors. To bridge the tuning gap, watsonx.ai

Machine Learning 65

Machine Learning Data Warehouse Modeling Cost-Benefit 65

Rita Sallam

JULY 22, 2016

It is defined by a self-contained architecture that enables nontechnical users to autonomously execute full-spectrum analytic workflows from data access, ingestion and preparation to interactive analysis, and the collaborative sharing of insights. Q4: Are we going to discuss Predictive types of Analytics in this discussion?

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Domino Data Lab

JULY 22, 2019

You know, case in point, if you were to talk about predictive analytics 20 years ago, the main people in the field would have laughed you out of the room. Predictive analytics, yeah, not so much.” It was also the year, 2001, when “ Agile Manifesto ” was published.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Andrew White

JANUARY 11, 2021

This was for the Chief Data Officer, or head of data and analytics. Gartner also published the same piece of research for other roles, such as Application and Software Engineering. Try this: Tie Your Data and Analytics Initiatives to Stakeholders and Their Business Goals. We have published some case studies.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52