Ontotext

JANUARY 26, 2023

The paper presents early results of the SPRINT project, which plays a central role in the Shift2Rail IP4 work programme. As data from building automation and control systems is growing in quantity, its quality needs to be improved in order to allow better management and data analytics over it.

Interactive 52

Interactive Metadata Data Integration Data-driven 52

FineReport

APRIL 25, 2024

Why Data Visualization Jobs are Important The significance of data visualization jobs lies in their ability to simplify intricate data sets and reveal meaningful patterns or trends. By presenting information visually, these professionals enable businesses to grasp insights quickly and make strategic decisions based on the data.

Visualization 52

Visualization Data-driven Dashboards Interactive 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. But if you are working in a company with complex business, I suggest you distinguish between business intelligence and data analytics. Definition.

Business Intelligence 98

Business Intelligence Analytics Dashboards Statistics 98

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

CIO Business Intelligence

JUNE 13, 2022

Although NLP is undeniably useful with its ability to compute words and text, the complexity of human language presents serious challenges. In some parts of the world, companies are required to host conversational AI applications and store the related data on self-managed servers rather than subscribing to a cloud-based service.

Data Processing 105

Data Processing Deep Learning Insurance Cost-Benefit 105

Alation

JUNE 23, 2023

That’s going to be the view at the highly anticipated gathering of the global data, analytics, and AI community — Databricks Data + AI Summit — when it makes its grand return to San Francisco from June 26–29. This combination enabled RaceTrac to meet the challenge head-on and derive valuable intelligence from its data.

Data-driven 52

Data-driven Data Processing Data Quality Enterprise 52

BizAcuity

MAY 16, 2022

The more effectively a company uses data, the better it performs. Cutting down latency or delay is now one of the most crucial elements of business intelligence strategy in present times. So, make sure you have a data strategy in place. Data Integration. Conclusion.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

AWS Big Data

APRIL 6, 2023

Note that the patterns and procedures presented in this post have been validated on Amazon OpenSearch Service version 1.3. Increase index shard count using the split index API The split index API and shrink index API cover a large array of use cases and present with low resource utilization in the domain.

Snapshot 87

Snapshot Recreation/Entertainment Strategy Metrics 87

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. But if you are working in a company with complex business, I suggest you distinguish between business intelligence and data analytics. Definition.

Business Intelligence 52

Business Intelligence Analytics Dashboards Statistics 52

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 83

Data Lake Visualization Dashboards Insurance 83

AWS Big Data

JANUARY 12, 2024

We have defined all layers and components of our design in line with the AWS Well-Architected Framework Data Analytics Lens. This solution is suitable for customers who don’t require real-time ingestion to OpenSearch Service and plan to use data integration tools that run on a schedule or are triggered through events.

Data Lake 97

Data Lake Cost-Benefit Visualization Structured Data 97

Ontotext

JUNE 10, 2021

Further, “ML-Augmented data integration is making active metadata analysis and semantic knowledge graphs pivotal parts of the data fabric””. If you want to solve interesting problems beyond basic data analytics, you are going to need formal semantics and that means schemas. Schemas are powerful.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

AWS Big Data

FEBRUARY 7, 2023

In the data analytics space, organizations often deal with many tables in different databases and file formats to hold data for different business functions. In this post, we implement an architecture to build a transactional data lake built on the aforementioned Hudi features.

Data Lake 76

Data Lake Testing Big Data Structured Data 76

AWS Big Data

SEPTEMBER 13, 2023

Streaming data has become an indispensable resource for organizations worldwide because it offers real-time insights that are crucial for data analytics. The escalating velocity and magnitude of collected data has created a demand for real-time analytics.

Data Processing 94

Data Processing Management Interactive Metadata 94

AWS Big Data

OCTOBER 27, 2023

Data integration is the foundation of robust data analytics. It encompasses the discovery, preparation, and composition of data from diverse sources. In the modern data landscape, accessing, integrating, and transforming data from diverse sources is a vital process for data-driven decision-making.

Analytics 98

Analytics Visualization Data Integration Cost-Benefit 98

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

DataKitchen

MAY 10, 2021

That’s a fair point, and it places emphasis on what is most important – what best practices should data teams employ to apply observability to data analytics. We see data observability as a component of DataOps. In our definition of data observability, we put the focus on the important goal of eliminating data errors.

Testing 214

Testing Manufacturing Data Quality Statistics 214

AWS Big Data

SEPTEMBER 7, 2023

It is also crucial to audit granular data access for security and compliance needs. This blog post presents an architecture solution that allows customers to extract key insights from Amazon S3 access logs at scale. Both the user data and logs buckets must be in the same AWS Region and owned by the same account.

Metadata 102

Metadata Dashboards Metrics Visualization 102

Smarten

APRIL 19, 2024

Price and bundling optimization, demand pricing, and other variables will be included to provide the best options, prices and responses and to personalize the approach and present results for data analysis and for end users.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

CIO Business Intelligence

DECEMBER 20, 2022

As a leading provider of the EHR, Epic Systems (Epic) supports a growing number of hospital systems and integrated health networks striving for innovative delivery of mission-critical systems. However, legacy methods of running Epic on-premises present a significant operational burden for healthcare providers.

Cost-Benefit 134

Cost-Benefit Optimization Software Machine Learning 134

IBM Big Data Hub

APRIL 15, 2024

Data integration stands as a critical first step in constructing any artificial intelligence (AI) application. While various methods exist for starting this process, organizations accelerate the application development and deployment process through data virtualization. Why choose data virtualization?

Analytics 66

Analytics Optimization Data-driven Metrics 66

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 67

Data Warehouse Data Lake Cost-Benefit Metadata 67

BizAcuity

SEPTEMBER 16, 2019

They aim at simplifying huge amounts of data, into simpler insights that can been easily understood and used. The purpose of any BI dashboard is to help business users make better-informed decisions by letting them gather, consolidate and analyse their data. Defining business dashboard needs. The tool is simple and easy to use.

Dashboards 69

Dashboards Visualization Key Performance Indicator Business Intelligence 69

BizAcuity

NOVEMBER 8, 2019

They aim at simplifying huge amounts of data, into simpler insights that can been easily understood and used. The purpose of any BI dashboard is to help business users make better-informed decisions by letting them gather, consolidate and analyse their data. DEFINING BUSINESS DASHBOARD NEEDS. The tool is simple and easy to use.

Dashboards 61

Dashboards Visualization Key Performance Indicator Business Intelligence 61

Andrew White

JANUARY 9, 2022

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. Have a look at this and see if this helps: Data, Analytics and AI Form the Foundation of Data-Driven Decision Making. . We write about data and analytics.

Analytics 64

Analytics Measurement Modeling Data-driven 64

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. Source: [link] ].

Reporting 52

Reporting OLAP Online Analytical Processing Dashboards 52

CIO Business Intelligence

MAY 24, 2022

Organisations have to contend with legacy data and increasing volumes of data spread across multiple silos. To meet these demands many IT teams find themselves being systems integrators, having to find ways to access and manipulate large volumes of data for multiple business functions and use cases.

Data-driven 98

Data-driven Data Lake Data Warehouse Cost-Benefit 98

BizAcuity

NOVEMBER 8, 2019

They aim at simplifying huge amounts of data, into simpler insights that can been easily understood and used. The purpose of any BI dashboard is to help business users make better-informed decisions by letting them gather, consolidate and analyse their data. DEFINING BUSINESS DASHBOARD NEEDS. The tool is simple and easy to use.

Dashboards 40

Dashboards Visualization Key Performance Indicator Business Intelligence 40

BizAcuity

NOVEMBER 8, 2019

They aim at simplifying huge amounts of data, into simpler insights that can been easily understood and used. The purpose of any BI dashboard is to help business users make better-informed decisions by letting them gather, consolidate and analyse their data. DEFINING BUSINESS DASHBOARD NEEDS. The tool is simple and easy to use.

Dashboards 40

Dashboards Visualization Key Performance Indicator Business Intelligence 40

IBM Big Data Hub

JUNE 28, 2023

Processing terabytes or even petabytes of increasing complex omics data generated by NGS platforms has necessitated development of omics informatics. Accelerate genomic innovation Some organizations continue to debate whether a cloud journey has been right for them, and others have yet to present a business case to their executive teams.

Informatics 63

Informatics Consulting Cost-Benefit Data Architecture 63

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

FEBRUARY 22, 2023

AWS Secrets Manager is an AWS service that can be used to store sensitive data, enabling users to keep data such as database credentials out of source code. Data analytic challenges As an ecommerce company, Ruparupa produces a lot of data from their ecommerce website, their inventory systems, and distribution and finance applications.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

AWS Big Data

JULY 20, 2023

We explore why Orca chose to build a transactional data lake and examine the key considerations that guided the selection of Apache Iceberg as the preferred table format. Lastly, we discuss the challenges encountered throughout the project, present the solutions used to address them, and share valuable lessons learned.

Data Lake 90

Data Lake Analytics Snapshot Optimization 90

Smart Data Collective

OCTOBER 25, 2023

More companies are turning to data analytics technology to improve efficiency, meet new milestones and gain a competitive edge in an increasingly globalized economy. One of the many ways that data analytics is shaping the business world has been with advances in business intelligence.

Key Performance Indicator 94

Key Performance Indicator Business Intelligence Data-driven Metrics 94

AWS Big Data

MAY 1, 2024

AWS Glue is a fully managed, serverless data integration service provided by Amazon Web Services (AWS) that uses Apache Spark as one of its backend processing engines (as of this writing, you can use Python Shell , Spark , or Ray ). PSA Specialist on Data & AI, based in Madrid, and focuses on EMEA South and Israel.

Broadcasting 81

Broadcasting Optimization Metrics Interactive 81

FineReport

APRIL 3, 2024

By visually representing data through charts, graphs, and maps, they foster collaboration and knowledge sharing among stakeholders. Integrated with diverse data sources, they empower users to analyze data directly within the dashboard interface, democratizing data analytics for both technical and non-technical users.

Dashboards 52

Dashboards Visualization Metrics Interactive 52

datapine

NOVEMBER 27, 2019

The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. The trends we presented last year will continue to play out through 2020. Time gain is also present in the form of AI assistants. 1 for data analytics trends in 2020.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361