FineReport

APRIL 9, 2024

In addition to security concerns, achieving seamless healthcare data integration and interoperability presents its own set of challenges. The fragmented nature of healthcare systems often results in disparate data sources that hinder efficient decision-making processes.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Smarten

APRIL 2, 2019

Smart Data Visualization allows users to view and analyze data to identify a problem and clarify a root cause and to interact easily with data discovery tools and analytics software to build a view that will tell a story using guided visualization and recommended data presentation so there is no need for assistance or delays.

Analytics 40

Analytics Predictive Modeling Visualization Cost-Benefit 40

FineReport

MAY 13, 2020

Although compared to the paid version, not all free BI tool provides stunning data visualization; they offer easy-to-understand charts that can meet your basic needs. KNIME is an open-source BI tool specialized for data linkage, integration, and analysis. Some of the free BI tools has its paid version. Tableau Public .

OLAP 105

OLAP KPI Data mining Business Intelligence 105

Smarten

JANUARY 24, 2019

Quite simply, it is the means by which your business can optimize resources, encourage collaboration and rapidly and dependably distribute data across the enterprise and use that data to predict, plan and achieve revenue goals.

Machine Learning 40

Machine Learning Predictive Modeling Predictive Analytics Forecasting 40

Smarten

MARCH 19, 2019

With the right solution, business users can leverage features like Self-Serve Data Preparation , Smart Data Visualization and Assisted Predictive Modeling to produce reports, share data and make decisions using data integrated from multiple sources in an environment that allows for auto-suggestions and recommendations.

ROI 40

ROI Analytics Cost-Benefit Predictive Modeling 40

AWS Big Data

JANUARY 25, 2023

An AWS Glue crawler populates the AWS Glue Data Catalog with the data schema definitions (in a landing folder). AWS Glue is a serverless data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, ML, and application development.

Visualization 74

Visualization Interactive Modeling Machine Learning 74

Birst BI

OCTOBER 30, 2018

The credit scores generated by the predictive model are then used to approve or deny credit cards or loans to customers. A well-designed credit scoring algorithm will properly predict both the low- and high-risk customers. Integrate the data sources of the various behavioral attributes into a functional data model.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Cloudera

JULY 18, 2018

For those asking big questions, in the case of healthcare, an incredible amount of insight remains hidden away in troves of clinical notes, EHR data, medical images, and omics data. To arrive at quality data, organizations are spending significant levels of effort on data integration, visualization, and deployment activities.

Machine Learning 50

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 50

O'Reilly on Data

DECEMBER 12, 2019

If you’re using Python and deep learning libraries, the CleverHans and Foolbox packages can also help you debug models and find adversarial examples. Small residuals usually mean a model is right, and large residuals usually mean a model is wrong. Interpretable ML models and explainable ML.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

Smarten

AUGUST 22, 2023

As a team member, you will likely ask all the questions noted above, as well as a few of your own and, while change can be difficult for some, it is important to understand that the Citizen Data Scientist role can be quite beneficial to you as a business user, an employee, and a staff member.

Enterprise 52

Enterprise Predictive Analytics Consulting Strategy 52

DataKitchen

SEPTEMBER 21, 2023

There are multiple locations where problems can happen in a data and analytic system. What is Data in Use? Data in Use pertains explicitly to how data is actively employed in business intelligence tools, predictive models, visualization platforms, and even during export or reverse ETL processes.

Testing 176

Testing Data Quality Predictive Modeling Metrics 176

CIO Business Intelligence

MAY 10, 2022

By applying machine learning to the data, you can better predict customer behavior. Gartner has identified four main types of CDPs: marketing cloud CDPs, CDP engines and toolkits, marketing data-integration CDPs, and CDP smart hubs. Treasure Data CDP. Types of CDPs. billion in November 2020.

Advertising 120

Advertising Interactive Marketing Data Integration 120

Cloudera

NOVEMBER 2, 2020

alert when threshold exceeded over a rolling window of statistics on the data, score the event data against a predictive model to decide which action to take next). Analytics storage and query engine for pre-aggregated event data. Fast ingest of streaming data, interactive queries, very high scale.

Data Warehouse 94

Data Warehouse Optimization Dashboards Interactive 94

datapine

NOVEMBER 27, 2019

Data exploded and became big. 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. 2) Data Discovery/Visualization. We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Jet Global

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. We rely on increasingly mobile technology to comb through massive amounts of data and solve high-value problems. Plus, there is an expectation that tools be visually appealing to boot. Their dashboards were visually stunning.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 9, 2024

Real-Time Analytics Pipelines : These pipelines process and analyze data in real-time or near-real-time to support decision-making in applications such as fraud detection, monitoring IoT devices, and providing personalized recommendations. For example, migrating customer data from an on-premises database to a cloud-based CRM system.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52