CIO Business Intelligence

DECEMBER 9, 2024

For example, an AI agent could update customer data with relevant information and complete complex tasks based on a customer inquiry. For now, 51% say this strategic alignment has not been fully achieved, according to NTT DATAs study. [3] 3] Preparation. Operations.

Technology 98

Technology Insurance Interactive Reporting 98

datapine

SEPTEMBER 29, 2022

However, with all good things comes many challenges and businesses often struggle with managing their information in the correct way. Oftentimes, the data being collected and used is incomplete or damaged, leading to many other issues that can considerably harm the company. Enters data quality management.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Wayne Yaddow

FEBRUARY 18, 2025

Selecting the strategies and tools for validating data transformations and data conversions in your data pipelines. Introduction Data transformations and data conversions are crucial to ensure that raw data is organized, processed, and ready for useful analysis.

Testing 52

Testing Data Transformation Data-driven Data Quality 52

Wayne Yaddow

FEBRUARY 11, 2025

Managing tests of complex data transformations when automated data testing tools lack important features? Photo by Marvin Meyer on Unsplash Introduction Data transformations are at the core of modern business intelligence, blending and converting disparate datasets into coherent, reliable outputs.

Testing 52

Testing Data Transformation Data Quality Statistics 52

AWS Big Data

JANUARY 15, 2025

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. In addition to real-time analytics and visualization, the data needs to be shared for long-term data analytics and machine learning applications.

IoT 100

IoT Machine Learning Metadata Data-driven 100

Wayne Yaddow

FEBRUARY 26, 2025

AI is transforming how senior data engineers and data scientists validate data transformations and conversions. Artificial intelligence-based verification approaches aid in the detection of anomalies, the enforcement of data integrity, and the optimization of pipelines for improved efficiency.

Data Transformation 52

Data Transformation Testing Data-driven Data Quality 52

AWS Big Data

JANUARY 6, 2025

Amazon AppFlow bridges the gap between Google applications and Amazon Redshift, empowering organizations to unlock deeper insights and drive data-informed decisions. In this post, we show you how to establish the data ingestion pipeline between Google Analytics 4, Google Sheets, and an Amazon Redshift Serverless workgroup.

Analytics 94

Analytics Data Warehouse Big Data Metrics 94

datapine

MAY 2, 2023

To work effectively, big data requires a large amount of high-quality information sources. Where is all of that data going to come from? Proactivity: Another key benefit of big data in the logistics industry is that it encourages informed decision-making and proactivity.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

CIO Business Intelligence

APRIL 8, 2025

As data-centric AI, automated metadata management and privacy-aware data sharing mature, the opportunity to embed data quality into the enterprises core has never been more significant. Data lives across siloed systems ERP, CRM, cloud platforms, spreadsheets with little integration or consistency. Synthetic data.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

AWS Big Data

OCTOBER 30, 2024

By integrating Tableau with the comprehensive data governance capabilities of Amazon DataZone, we’re empowering data consumers to quickly and seamlessly explore and analyze their governed data. Joel has led data transformation projects on fraud analytics, claims automation, and Master Data Management.

Analytics 103

Analytics Visualization Data Governance Data-driven 103

Alation

OCTOBER 26, 2021

Building a Data Culture Within a Finance Department. Our finance users tell us that their first exposure to the Alation Data Catalog often comes soon after the launch of organization-wide data transformation efforts. After all, finance is one of the greatest consumers of data within a business. Don’t overthink it.

Finance 52

Finance Data Transformation Enterprise Metrics 52

AWS Big Data

NOVEMBER 27, 2024

Together with price-performance, Amazon Redshift offers capabilities such as serverless architecture, machine learning integration within your data warehouse and secure data sharing across the organization. dbt Cloud is a hosted service that helps data teams productionize dbt deployments. Port: Redshift 5439. Database name: dev.

Data Warehouse 93

Data Warehouse Analytics Testing Modeling 93

AWS Big Data

DECEMBER 20, 2024

Your generated jobs can use a variety of data transformations, including filters, projections, unions, joins, and aggregations, giving you the flexibility to handle complex data processing requirements. In this post, we discuss how Amazon Q data integration transforms ETL workflow development.

Data Integration 94

Data Integration Visualization Data Processing Big Data 94

Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. Data Virtualization allows accessing them from a single point, replicating them only when strictly necessary.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

Dataiku

SEPTEMBER 23, 2021

We speak a lot about the ways we can use data, transform it, and create powerful models based on advanced machine learning techniques, but we sometimes forget where the data comes from initially.

Machine Learning 103

Machine Learning Data Transformation Modeling IT 103

AWS Big Data

APRIL 26, 2023

The manufacturers need to know BMW Group’s exact current and future semiconductor volume information, which will effectively help steer the available worldwide supply. The data (Part Master Data) can directly be consumed from the Cloud Data Hub. The data (Part Master Data) can directly be consumed from the Cloud Data Hub.

Forecasting 129

Forecasting Manufacturing Data Lake Big Data 129

DataKitchen

JULY 27, 2023

Here are a few examples that we have seen of how this can be done: Batch ETL with Azure Data Factory and Azure Databricks: In this pattern, Azure Data Factory is used to orchestrate and schedule batch ETL processes. Azure Blob Storage serves as the data lake to store raw data. Azure Machine Learning). So go ahead.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

Smart Data Collective

OCTOBER 20, 2021

The data integration landscape is under a constant metamorphosis. In the current disruptive times, businesses depend heavily on information in real-time and data analysis techniques to make better business decisions, raising the bar for data integration. This speeds up data transformation and decision-making.

Data Integration 133

Data Integration Machine Learning Big Data Statistics 133

AWS Big Data

JULY 25, 2024

With CloudSearch, you can search large collections of data such as webpages, document files, forum posts, or product information. As your volume of data and traffic fluctuates, CloudSearch scales to meet your needs. For more information on the capabilities and benefits of using OpenSearch Service, see Amazon OpenSearch Service.

Cost-Benefit 117

Cost-Benefit Machine Learning Dashboards Management 117

DataKitchen

NOVEMBER 10, 2023

Notification to Affected Parties: Once a problem is identified and the responsible party is notified, informing those impacted by the change is crucial. Implement a communication protocol that swiftly informs stakeholders, allowing them to brace for or address the potential impacts of the data change.

Data Quality 136

Data Quality Testing Data Lake Data Integration 136

Smart Data Collective

FEBRUARY 20, 2020

In 2015, Spend Matters wrote a detailed report on the applications of big data in the e-invoicing industry. Big Data Transforms Invoicing Software Applications. Before big data became a prominent aspect of invoicing, many SME owners don’t initially see much value in the concept of invoicing software.

Big Data 141

Big Data Software Reporting Interactive 141

Ontotext

NOVEMBER 29, 2024

But even though technologies like Building Information Modelling (BIM) have finally introduced symbolic representation, in many ways, AECO still clings to outdated, analog practices and documents. RDF is widely believed to be a universal standard that could facilitate the integration of other data standards, practices, and models.

Modeling 59

Modeling Structured Data Technology Data Transformation 59

AWS Big Data

NOVEMBER 9, 2023

In this post, we delve into a case study for a retail use case, exploring how the Data Build Tool (dbt) was used effectively within an AWS environment to build a high-performing, efficient, and modern data platform. It does this by helping teams handle the T in ETL (extract, transform, and load) processes.

Data Warehouse 118

Data Warehouse Testing Data Quality Reporting 118

AWS Big Data

NOVEMBER 22, 2024

In this post, we’ll walk through an example ETL process that uses session reuse to efficiently create, populate, and query temporary staging tables across the full data transformation workflow—all within the same persistent Amazon Redshift database session. For more information, see Example policy for using GetClusterCredentials.

Data Warehouse 92

Data Warehouse Recreation/Entertainment Cost-Benefit Data-driven 92

CIO Business Intelligence

FEBRUARY 16, 2023

But to augment its various businesses with ML and AI, Iyengar’s team first had to break down data silos within the organization and transform the company’s data operations. Digitizing was our first stake at the table in our data journey,” he says.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

O'Reilly on Data

OCTOBER 19, 2021

You want to carefully manage consistency of data between training and predictions, as well as make sure that there’s no leakage of information when models are being trained and tested with historical data. Producing labels is another, equally deep topic. We bucket these questions in the feature engineering layer.

IT 363

IT Testing Experimentation Software 363

CIO Business Intelligence

JANUARY 8, 2025

Secure storage, together with data transformation, monitoring, auditing, and a compliance layer, increase the complexity of the system. For example, Mosaic recently created a data-heavy Mosaic GPT safety model for mining operations on Microsofts Bing platform, and is about to roll that out in a pilot.

Data Processing 139

Data Processing Optimization Modeling Enterprise 139

CIO Business Intelligence

NOVEMBER 7, 2023

For years, IT and business leaders have been talking about breaking down the data silos that exist within their organizations. Given the importance of sharing information among diverse disciplines in the era of digital transformation, this concept is arguably as important as ever. There’s also the issue of bias.

Data Warehouse 142

Data Warehouse Digital Transformation Data-driven Reporting 142

CIO Business Intelligence

JANUARY 24, 2024

Similar to disaster recovery, business continuity, and information security, data strategy needs to be well thought out and defined to inform the rest, while providing a foundation from which to build a strong business.” Overlooking these data resources is a big mistake.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

CIO Business Intelligence

AUGUST 3, 2023

But before consolidating the required data, Lenovo had to overcome concerns around sharing potentially sensitive information. Hoogar’s staff helped relieve such fears by educating employees that information included in the solution, such as notices of bug fixes or software updates, was already public.

Analytics 98

Analytics Data Lake Metadata Cost-Benefit 98

AWS Big Data

DECEMBER 13, 2023

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

Metadata 101

Metadata Data Lake Visualization Data Quality 101

CIO Business Intelligence

JULY 5, 2022

What is the difference between business analytics and data analytics? Business analytics is a subset of data analytics. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

AWS Big Data

AUGUST 26, 2024

Duplicating data from a production database to a lower or lateral environment and masking personally identifiable information (PII) to comply with regulations enables development, testing, and reporting without impacting critical systems or exposing sensitive customer data. See AWS Glue: How it works for further details.

Visualization 107

Visualization Metadata Data Transformation Testing 107

David Menninger's Analyst Perspectives

NOVEMBER 7, 2024

AI is also making it easier for executives and managers to rapidly forecast, plan and analyze to promote deeper situational awareness and facilitate better-informed decision-making. It will do so by substantially reducing the time spent on the purely mechanical aspects of day-to-day tasks. And it must be C ompany-wide, not siloed.

Forecasting 130

Forecasting Machine Learning Finance Predictive Analytics 130

CIO Business Intelligence

APRIL 30, 2024

This feature enables users to save calculations from a Tableau dashboard directly to Tableau’s metrics layer so they can monitor and track the information over time. It could tell the user whether the data is trending in a positive direction or what’s driving a trend, for instance. Metrics Bootstrapping.

Analytics 96

Analytics Metrics Visualization Dashboards 96

CIO Business Intelligence

OCTOBER 11, 2022

The new approach involved federating its vast and globally dispersed data repositories in the cloud with Amazon Web Services (AWS). Unifying its data within a centralized architecture allows AstraZeneca’s researchers to easily tag, search, share, transform, analyze, and govern petabytes of information at a scale unthinkable a decade ago. .

Machine Learning 145

Machine Learning Data Science Data-driven Testing 145

Cloudera

JUNE 1, 2021

After all, we invented the whole idea of Big Data. Well, at Cloudera, we envision a world where everyone can quickly and easily access the data-powered information and insights they need – in just a few clicks. . The mission is to “Make data and analytics easy and accessible, for everyone.” 650-644-3900.

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144