AWS Big Data

AUGUST 3, 2023

With the rapid growth of technology, more and more data volume is coming in many different formats—structured, semi-structured, and unstructured. Data analytics on operational data at near-real time is becoming a common need. a new version of AWS Glue that accelerates data integration workloads in AWS.

Data Lake 78

Data Lake Visualization Dashboards Insurance 78

FineReport

JULY 6, 2022

FineReport is another leading enterprise reporting tool developed by FanRuan to satisfy enterprises’ reporting needs, helping them to generate complex reports and intuitive dashboards and gain insights into their business operations. It is devoted to transforming data into value. Data Sources. Data Visualization.

Dashboards 52

Dashboards Visualization Business Intelligence Reporting 52

FineReport

JUNE 11, 2021

Business intelligence and analytics (BI&A) and the related field of big data analytics have emerged as an increasingly important area in the business communities. BI Dashboard (by FineReport). Note: the reports and dashboards samples used here are made with FineReport. Dashboard(by FineReport).

Business Intelligence 52

Business Intelligence Analytics Dashboards Statistics 52

BizAcuity

MAY 16, 2022

The more effectively a company uses data, the better it performs. As a data analytics company, we have been observing a trend among certain large enterprises who are looking for real-time data streaming for analytics. So, make sure you have a data strategy in place. Data Integration.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

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

AWS Big Data

MARCH 27, 2024

AWS has invested in a zero-ETL (extract, transform, and load) future so that builders can focus more on creating value from data, instead of having to spend time preparing data for analysis.

Data Analytics 89

Data Analytics Analytics Data Warehouse Data Lake 89

BizAcuity

SEPTEMBER 16, 2019

A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance. Defining business dashboard needs. Several BI dashboards are available in the market.

Dashboards 69

Dashboards Visualization Key Performance Indicator Business Intelligence 69

BizAcuity

NOVEMBER 8, 2019

A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance. DEFINING BUSINESS DASHBOARD NEEDS. Several BI dashboards are available in the market.

Dashboards 61

Dashboards Visualization Key Performance Indicator Business Intelligence 61

IBM Big Data Hub

DECEMBER 16, 2022

In other words, a data catalog makes the use of data for insights generation far more efficient across the organization, while helping mitigate risks of regulatory violations. Because Alex can use a data catalog to search all data assets across the company, she has access to the most relevant and up-to-date information.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

AWS Big Data

APRIL 6, 2023

All operations and procedures that we cover in this post are issued directly to the OpenSearch REST API or via the Dev Tools in OpenSearch Dashboards. Mikhail specializes in data analytics services. Sukhomoy Basak is a Solutions Architect at Amazon Web Services, with a passion for data and analytics solutions.

Snapshot 83

Snapshot Recreation/Entertainment Strategy Metrics 83

BizAcuity

NOVEMBER 8, 2019

A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance. DEFINING BUSINESS DASHBOARD NEEDS. Several BI dashboards are available in the market.

Dashboards 40

Dashboards Visualization Key Performance Indicator Business Intelligence 40

BizAcuity

NOVEMBER 8, 2019

A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance. DEFINING BUSINESS DASHBOARD NEEDS. Several BI dashboards are available in the market.

Dashboards 40

Dashboards Visualization Key Performance Indicator Business Intelligence 40

AWS Big Data

NOVEMBER 13, 2023

The downstream consumers consist of business intelligence (BI) tools, with multiple data science and data analytics teams having their own WLM queues with appropriate priority values. Consequently, there was a fivefold rise in data integrations and a fivefold increase in ad hoc queries submitted to the Redshift cluster.

Data Warehouse 90

Data Warehouse Data Lake Analytics Data Science 90

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 97

Metadata Dashboards Metrics Visualization 97

AWS Big Data

JUNE 19, 2023

With QuickSight, all users can meet varying analytic needs from the same source of truth through modern interactive dashboards, paginated reports, embedded analytics and natural language queries. Parameters help users create interactive experiences in their dashboards.

Optimization 70

Optimization Slice and Dice Dashboards Recreation/Entertainment 70

AWS Big Data

OCTOBER 11, 2023

The data in the machine-readable files can provide valuable insights to understand the true cost of healthcare services and compare prices and quality across hospitals. The availability of machine-readable files opens up new possibilities for data analytics, allowing organizations to analyze large amounts of pricing data.

Visualization 94

Visualization Dashboards Data-driven Gap analysis 94

DataKitchen

MAY 10, 2021

Data errors impact decision-making. When analytics and dashboards are inaccurate, business leaders may not be able to solve problems and pursue opportunities. Data errors infringe on work-life balance. Data errors also affect careers. We see data observability as a component of DataOps. Production Analytics.

Testing 214

Testing Manufacturing Data Quality Statistics 214

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. Switch to User-ID by implementing Universal Analytics.]. We are also limited to the data Analytics collects by default. Yes, it is A Lot.

Analytics 155

Analytics Reporting Metrics Slice and Dice 155

AWS Big Data

JULY 13, 2023

In particular, they wanted to enable their account managers, sales executives, and analysts to use actual data and facts to get a 360 view of their accounts. Target – Dashboards to be refreshed on a daily basis that would provide insights on sales, gross profit, sales pipelines, and customers.

Optimization 89

Optimization B2B Data Quality Sales 89

FineReport

JULY 18, 2022

There exists a variety of data analysis tools for you to choose from. In order to assist you in selecting the one that best fits your company’s needs, let’s examine several best data analytics tools that are popular in 2022. How to Choose Data Analysis Tools. Finally, the budget can not be ignored.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

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

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Meta-Orchestration . Production Monitoring Only.

Testing 307

Testing Machine Learning Consulting Data Quality 307

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 exploration Data exploration helps unearth inconsistencies, outliers, or errors.

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

BizAcuity

AUGUST 1, 2022

TIBCO Jaspersoft offers a complete BI suite that includes reporting, online analytical processing (OLAP), visual analytics , and data integration. The web-scale platform enables users to share interactive dashboards and data from a single page with individuals across the enterprise. Data Security.

Reporting 52

Reporting OLAP Online Analytical Processing Dashboards 52

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. The audience of these few reports was limited—a maximum of 20 people from management.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

Ontotext

FEBRUARY 26, 2024

From a technological perspective, RED combines a sophisticated knowledge graph with large language models (LLM) for improved natural language processing (NLP), data integration, search and information discovery, built on top of the metaphactory platform. It compares actual price changes to expected changes based on historical data.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

Andrew White

JANUARY 9, 2022

There are many tactics to employ that might help – including data literacy; storytelling; use of our value pyramid/business value model; use of our decision intelligence model. To drive a successful Data Analytics strategy do you think it is a multidisciplinary activity and if so, what additional roles would you expect to see involved.

Analytics 64

Analytics Measurement Modeling Data-driven 64

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

JULY 12, 2023

Amazon Redshift delivers up to five times better price performance than other cloud data warehouses out of the box and helps you keep costs predictable. Introduction to dbt dbt is a SQL-based transformation workflow that is rapidly emerging as the go-to standard for data analytics teams.

Data Warehouse 52

Data Warehouse Modeling Dashboards Data Lake 52

Cloudera

AUGUST 21, 2021

Working towards delivering a strong customer experience and shortening time to market, the organization sought to create a centralized repository of high-quality data which could also allow them to stream and conduct real-time data analytics to rapidly derive actionable insights. .

Data-driven 98

Data-driven Digital Transformation Risk Risk Management 98

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. It is a data modeling methodology designed for large-scale data warehouse platforms.

Data Warehouse 64

Data Warehouse Data Lake Cost-Benefit Modeling 64

IBM Big Data Hub

OCTOBER 20, 2023

Decision optimization: Streamline the selection and deployment of optimization models and enable the creation of dashboards to share results, enhance collaboration and recommend optimal action plans. Store operating platform : Scalable and secure foundation supports AI at the edge and data integration.

Machine Learning 79

Machine Learning Manufacturing Cost-Benefit Deep Learning 79

FineReport

APRIL 3, 2024

In today’s data-driven landscape, businesses are leaning more on BI tools , particularly BI dashboard solutions, to enhance decision-making through data visualization. These BI Dashboard tools blend advanced analytics with user-friendly interfaces, revealing invaluable insights.

Dashboards 52

Dashboards Visualization Metrics Interactive 52

datapine

FEBRUARY 22, 2022

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. For decades now, data analytics has been considered a segregated task. click to enlarge**.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

AWS Big Data

NOVEMBER 7, 2023

Third, AWS continues adding support for more data sources including connections to software as a service (SaaS) applications, on-premises applications, and other clouds so organizations can act on their data. They used Amazon Aurora MySQL zero-ETL integration with Amazon Redshift to achieve this.

Dashboards 73

Dashboards Data-driven Data Integration Data Lake 73

AWS Big Data

DECEMBER 18, 2023

Amazon Redshift powers data-driven decisions for tens of thousands of customers every day with a fully managed, AI-powered cloud data warehouse, delivering the best price-performance for your analytics workloads. Discover how you can use Amazon Redshift to build a data mesh architecture to analyze your data.

Data Warehouse 97

Data Warehouse Machine Learning Data-driven Data Lake 97