IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.

Data Quality 68

Data Quality Data Integration Metadata Cost-Benefit 68

CIO Business Intelligence

DECEMBER 6, 2023

In today’s automation landscape, actions are typically event-driven. A rchitecture development The primary objective of architectural development in the context of LLM orchestration is to create a scalable, secure, and efficient infrastructure that can seamlessly integrate LLMs into the broader enterprise ecosystem.

Enterprise 119

Enterprise Strategy Modeling Interactive 119

FineReport

MARCH 1, 2023

In order to meet the requirements on the style and design of reports in different scenarios, FineReport supports three different types of reports: Normal Report, Dashboard and Aggregation Report, which can generally cover different needs from different working scenarios. These reports are all produced by FineReport.

Sales 52

Sales Reporting Metrics Informatics 52

Birst BI

OCTOBER 30, 2018

Remember when you began your career and the prospect of retirement was an event in the distant future? The integration of historical data and predictive analytics is key to operationalizing predictive capabilities in large financial services organizations. Create the reports & dashboards needed to visualize the predictions.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Ontotext

SEPTEMBER 15, 2020

This multiplicity of data leads to the growth silos, which in turns increases the cost of integration. The purpose of weaving a Data Fabric is to remove the friction and cost from accessing and sharing data in the distributed ICT environment that is the norm.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

CIO Business Intelligence

FEBRUARY 20, 2023

To earn this cert, candidates should know how to maintain and modify Sales Cloud and Service Cloud applications; manage users, data, and security; and construct dashboards, reports, and workflows.

Consulting 87

Consulting B2B Cost-Benefit Sales 87

AWS Big Data

SEPTEMBER 7, 2023

We will partition and format the server access logs with Amazon Web Services (AWS) Glue , a serverless data integration service, to generate a catalog for access logs and create dashboards for insights. These logs can track activity, such as data access patterns, lifecycle and management activity, and security events.

Metadata 99

Metadata Dashboards Metrics Visualization 99

AWS Big Data

NOVEMBER 13, 2023

The upstream data pipeline is a robust system that integrates various data sources, including Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (Amazon MSK) for handling clickstream events, Amazon Relational Database Service (Amazon RDS) for delta transactions, and Amazon DynamoDB for delta game-related information.

Data Warehouse 91

Data Warehouse Data Lake Analytics Data Science 91

DataKitchen

SEPTEMBER 21, 2023

These applications are where the rubber meets the road and often where customers first encounter data quality issues. Problems can manifest in various ways, such as Model Prediction Errors in machine learning applications, empty dashboards in BI tools, or row counts in exported data falling short of expectations.

Testing 176

Testing Data Quality Predictive Modeling Metrics 176

AWS Big Data

OCTOBER 11, 2023

The data ingestion process copies the machine-readable files from the hospitals, validates the data, and keeps the validated files available for analysis. Data analysis – In this stage, the files are transformed using AWS Glue and stored in the AWS Glue Data Catalog. On the Datasets page, choose New data set.

Visualization 96

Visualization Dashboards Data-driven Gap analysis 96

AWS Big Data

JULY 19, 2023

Lastly, we use Amazon QuickSight to gain insights on the modeled data in the form of a QuickSight dashboard. For this solution, we use a sample dataset (normalized) provided by Amazon Redshift for event ticket sales. The following tables show examples of the data for ticket sales and venues.

Modeling 69

Modeling Sales Data Warehouse Snapshot 69

CIO Business Intelligence

NOVEMBER 29, 2022

Here, I’ll highlight the where and why of these important “data integration points” that are key determinants of success in an organization’s data and analytics strategy. It’s the foundational architecture and data integration capability for high-value data products. Data and cloud strategy must align.

Data Architecture 111

Data Architecture Data Integration IoT Strategy 111

Occam's Razor

APRIL 13, 2015

Having this data integrated into your site analytics behavior data means that you don't have to guess which of these groups/segments are more or less valuable. It has a useful, and dare I say, :), awesome, bundle of my favourite segments (six), dashboards (one, VP), custom reports (nine).

Analytics 155

Analytics Reporting Metrics Slice and Dice 155

Cloudera

FEBRUARY 10, 2022

With CDF-PC, NiFi users can import their existing data flows into a central catalog from where they can be deployed to a Kubernetes based runtime through a simple flow deployment wizard or with a single CLI command. Solving Common Data Integration Use Cases with CDF-PC on Azure. Processing Streaming Data.

KPI 113

KPI Optimization Data Integration Management 113

O'Reilly on Data

OCTOBER 11, 2022

So from the start, we have a data integration problem compounded with a compliance problem. An AI project that doesn’t address data integration and governance (including compliance) is bound to fail, regardless of how good your AI technology might be. Data needs to become the means, a tool for making good decisions.

Data Integration 292

Data Integration Insurance Dashboards Modeling 292

IBM Big Data Hub

JUNE 26, 2023

Scenario 3: Break the operational bottleneck caused by Kafka, an open-source data extraction tool. With Event Streams Module of IBM Cloud Pak for Integration, you can simplify the process of highly available data extraction.

Manufacturing 66

Manufacturing Software Optimization Digital Transformation 66

AWS Big Data

NOVEMBER 29, 2023

Within seconds of data being written into Aurora, you can use Amazon Redshift to do near-real-time analytics and ML on petabytes of data. Amazon Q , our new generative AI assistant, helps you in QuickSight to author dashboards and create compelling visual stories from your dashboard data using natural language.

Data Warehouse 109

Data Warehouse Data Lake Data Integration Dashboards 109

IBM Big Data Hub

JANUARY 17, 2023

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. This capability will provide data users with visibility into origin, transformations, and destination of data as it is used to build products. Data integration. Start a trial.

Data-driven 57

Data-driven Enterprise Data Governance Prescriptive Analytics 57

DataKitchen

OCTOBER 25, 2022

He thinks he can sell his boss and the CEO on this idea, but his pitch won’t go over well when they still have more than six major data errors every month. It tackles the immediate challenges in your data operations by providing detailed information about what’s going on right now. It’s not just a fear of change.

Testing 130

Testing Data-driven Visualization Dashboards 130

AWS Big Data

MARCH 3, 2023

Additionally, the scale is significant because the multi-tenant data sources provide a continuous stream of testing activity, and our users require quick data refreshes as well as historical context for up to a decade due to compliance and regulatory demands. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 52

AWS Big Data

MARCH 26, 2024

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Data processing Raw data is often cluttered with duplicates and irregular formats.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

Cloudera

NOVEMBER 2, 2020

Ingest 100s of TB of network event data per day . Updates and deletes to ensure data correctness. Mix of ad hoc exploration, dashboarding, and alert monitoring. The capabilities that more and more customers are asking for are: Analytics on live data AND recent data AND historical data.

Data Warehouse 90

Data Warehouse Optimization Dashboards Interactive 90

AWS Big Data

FEBRUARY 22, 2023

The data lake implemented by Ruparupa uses Amazon S3 as the storage platform, AWS Database Migration Service (AWS DMS) as the ingestion tool, AWS Glue as the ETL (extract, transform, and load) tool, and QuickSight for analytic dashboards. This catalog is used by the AWS Glue ETL job, Athena query engine, and QuickSight dashboard.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

Cloudera

SEPTEMBER 7, 2023

Perhaps the biggest challenge of all is that AI solutions—with their complex, opaque models, and their appetite for large, diverse, high-quality datasets—tend to complicate the oversight, management, and assurance processes integral to data management and governance. Facilitate communication between stakeholders.

Insurance 78

Insurance Risk Data-driven Modeling 78

Cloudera

AUGUST 21, 2021

Streaming analytics captures information in the now, and has the ability to access data from inside the business as well as external sources to help businesses stay agile. The bank established the Enterprise Information & Decision Platform (EIDP) as a single source of truth running data integration on the Cloudera platform.

Data-driven 98

Data-driven Digital Transformation Risk Risk Management 98

AWS Big Data

JULY 12, 2023

Organizations use their data to extract valuable insights and drive informed business decisions. As a software as a service (SaaS) provider, Etleap provides highly scalable and secure dbt Core infrastructure out of the box, so there’s no infrastructure management required by your data teams.

Data Warehouse 52

Data Warehouse Modeling Dashboards Data Lake 52

AWS Big Data

JUNE 6, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning (ML), and application development. Hundreds of thousands of customers use data lakes for analytics and ML to make data-driven business decisions.

Data Quality 75

Data Quality Data Lake Data-driven Metrics 75

AWS Big Data

APRIL 20, 2023

One of the most common use cases for data preparation on Amazon Redshift is to ingest and transform data from different data stores into an Amazon Redshift data warehouse. AWS Glue provides an extensible architecture that enables users with different data processing use cases, and works well with Amazon Redshift.

Visualization 78

Visualization Data Warehouse Big Data Data Lake 78

CIO Business Intelligence

MAY 24, 2022

Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights. Providing a platform for fact-based and actionable management reporting, algorithmic forecasting and digital dashboarding. analyse the data, using business intelligence, visualisation or data science tools.

Data-driven 98

Data-driven Data Lake Data Warehouse Cost-Benefit 98

AWS Big Data

FEBRUARY 21, 2023

Loading complex multi-point datasets into a dimensional model, identifying issues, and validating data integrity of the aggregated and merged data points are the biggest challenges that clinical quality management systems face. Data marts are ephemeral views that can be implemented directly on top of the business and raw vaults.

Data Warehouse 65

Data Warehouse Data Lake Cost-Benefit Modeling 65

Cloudera

MAY 16, 2018

This approach also relates to monitoring internal fiduciary risk by tying separate events together, such as a large position (relative to historic norms) being taken immediately after the risk model that would have flagged it was modified in a separate system.

Data Lake 41

Data Lake Risk Visualization Unstructured Data 41

Alation

OCTOBER 28, 2021

These mandates ensure that PHA and PII data are protected and managed properly, so that patients are protected in the event of data breaches. Yet this same data is critical to improving patient outcomes. Too much access increases the risk that data can be changed or stolen.

Data Governance 52

Data Governance Measurement Modeling Metrics 52

AWS Big Data

NOVEMBER 13, 2023

Visit us at the AWS Analytics Kiosk in the AWS Village at the Expo to discover the AWS Analytics Superhero in you, participate in a playful quiz and AWS book signing events. 11:30 AM – 12:30 PM (PDT) Ceasars Forum ANT318 | Accelerate innovation with end-to-end serverless data architecture. Watch this space for additional details.

Analytics 110

Analytics Data Lake Data Warehouse Data-driven 110

AWS Big Data

MARCH 15, 2023

Performance and scalability of both the data pipeline and API endpoint were key success criteria. The data pipeline needed to have sufficient performance to allow for fast turnaround in the event that data issues needed to be corrected. The following diagram illustrates this architecture.

Cost-Benefit 66

Cost-Benefit Data Processing Optimization Data-driven 66

AWS Big Data

APRIL 25, 2023

Looking for a tool that would enable us to democratize our data, we chose Amazon QuickSight , a cloud-native, serverless business intelligence (BI) service that powers interactive dashboards that lets us make better data-driven decisions, as a corporate solution for data visualization.

Visualization 52

Visualization IT Data-driven Reporting 52

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. We all gained access to the cloud. Suddenly advanced analytics wasn’t just for the analysts.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Jet Global

MARCH 24, 2024

The combination of an EPM solution and a tax reporting tool can significantly increase collaboration and effectiveness for finance and tax teams in several ways: Data Integration. EPM tools often gather and consolidate financial data from various sources, providing a unified view of a company’s financial performance.

Finance 52

Finance Reporting Forecasting Dashboards 52