CIO Business Intelligence

MAY 20, 2022

Modernizing a utility’s data architecture. These capabilities allow us to reduce business risk as we move off of our monolithic, on-premise environments and provide cloud resiliency and scale,” the CIO says, noting National Grid also has a major data center consolidation under way as it moves more data to the cloud.

IT 102

IT Digital Transformation Internet of Things Data Architecture 102

CIO Business Intelligence

AUGUST 7, 2023

While the changes to the tech stack are minimal when simply accessing gen AI services, CIOs will need to be ready to manage substantial adjustments to the tech architecture and to upgrade data architecture. Shapers want to develop proprietary capabilities and have higher security or compliance needs.

Modeling 92

Modeling Sales Cost-Benefit Data Processing 92

CIO Business Intelligence

JUNE 29, 2022

But this glittering prize might cause some organizations to overlook something significantly more important: constructing the kind of event-driven data architecture that supports robust real-time analytics. An event-based, real-time data architecture is precisely how businesses today create the experiences that consumers expect.

Interactive 91

Interactive Data-driven Data Architecture Software 91

AWS Big Data

DECEMBER 21, 2023

Overview of solution As a data-driven company, smava relies on the AWS Cloud to power their analytics use cases. smava ingests data from various external and internal data sources into a landing stage on the data lake based on Amazon Simple Storage Service (Amazon S3). This is the Data Mart stage.

Data Lake 85

Data Lake Data Warehouse B2B Data-driven 85

Jen Stirrup

AUGUST 25, 2020

Logic Apps are hosted in Azure and have a code view rather than a ‘business user coder’ view. Again, putting the data into Azure SQL Database and then Power BI allows for more Business Intelligence scenarios to be implemented, such as time series. Much cheaper and worth the investment of time to learn.

Advertising 66

Advertising Business Intelligence Data Processing Data Architecture 66

AWS Big Data

OCTOBER 3, 2023

Over the years, data lakes on Amazon Simple Storage Service (Amazon S3) have become the default repository for enterprise data and are a common choice for a large set of users who query data for a variety of analytics and machine leaning use cases. Analytics use cases on data lakes are always evolving. Choose ETL Jobs.

Data Lake 98

Data Lake Metadata Snapshot Recreation/Entertainment 98

AWS Big Data

JANUARY 22, 2024

The majority of data produced by these accounts is used downstream for business intelligence (BI) purposes and in Amazon Athena , by hundreds of business users every day. The solution Acast implemented is a data mesh, architected on AWS.

Data-driven 82

Data-driven Advertising Metadata Data Architecture 82

TDAN

OCTOBER 6, 2020

Prominent entities across a myriad of sectors are preparing for the digital revolution by integrating a host of technologies such as IoT, AI, Big Data, digital twins, and robotics, in their processes, products, and workflows. The industrial landscape is undergoing a digital transformation at a breakneck speed.

IoT 52

IoT Digital Transformation Manufacturing Data Processing 52

CIO Business Intelligence

AUGUST 10, 2022

Some organisations, for example, remain steadfastly off the cloud, making it difficult to leverage AI and machine learning capabilities, while others suffer from disorganised data architecture that can lead to incomplete or inaccessible analytics, vital for informing business strategy and enabling personalised experiences.

Data-driven 52

Data-driven Data Processing Risk Data Architecture 52

AWS Big Data

MARCH 10, 2023

However, as data processing at scale solutions grow, organizations need to build more and more features on top of their data lakes. Moreover, many customers are looking for an architecture where they can combine the benefits of a data lake and a data warehouse in the same storage location.

Data Lake 98

Data Lake Sales Data Warehouse Snapshot 98

AWS Big Data

OCTOBER 18, 2023

You can access data with traditional, cloud-native, containerized, serverless web services or event-driven applications. You can also use your favorite business intelligence (BI) and SQL tools to access, analyze, and visualize data in Amazon Redshift. Select Redshift data agent , then choose OK.

Analytics 92

Analytics Data Warehouse Testing Dashboards 92

Cloudera

AUGUST 28, 2018

However, this year, it is evident that the pace of acceleration to modern data architectures has intensified. Brian Carpenter , Co-Host, The Hot Aisle Podcast, @intheDC. David Stodder , Senior Director, Research for Business Intelligence, TDWI. .” – Cornelia Levy-Bencheton. Manjeet Rege , Ph.D.,

Digital Transformation 65

Digital Transformation Consulting Machine Learning IoT 65

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. This data is sent to Apache Kafka, which is hosted on Amazon Managed Streaming for Apache Kafka (Amazon MSK).

Data Lake 84

Data Lake Analytics Snapshot Optimization 84

AWS Big Data

APRIL 28, 2023

The third post will show how end-users can consume data from their tool of choice, without compromising data governance. This will include how to configure Okta, AWS Lake Formation , and a business intelligence tool to enable SAML-based federated use of Athena for an enterprise BI activity.

Data Governance 65

Data Governance Management Data-driven Data Lake 65

CIO Business Intelligence

MARCH 6, 2024

SAP announced today a host of new AI copilot and AI governance features for SAP Datasphere and SAP Analytics Cloud (SAC). And while the SAP products are very capable with respect to its data estate, Collibra has built its entire architecture around governing and working with a variety of products.”

Unstructured Data 120

Unstructured Data Dashboards Business Intelligence Data Governance 120

CIO Business Intelligence

FEBRUARY 28, 2024

And not only do companies have to get all the basics in place to build for analytics and MLOps, but they also need to build new data structures and pipelines specifically for gen AI. And for some use cases, an expensive, high-end commercial LLM might not be required since a locally-hosted open source model might suffice.

IT 122

IT Consulting Modeling Enterprise 122

Jet Global

MAY 1, 2023

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded Analytics Definition Embedded analytics are the integration of analytics content and capabilities within applications, such as business process applications (e.g., that gathers data from many sources.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

CIO Business Intelligence

JANUARY 30, 2024

“Always the gatekeepers of much of the data necessary for ESG reporting, CIOs are finding that companies are even more dependent on them,” says Nancy Mentesana, ESG executive director at Labrador US, a global communications firm focused on corporate disclosure documents.

Reporting 110

Reporting Data Quality Strategy Data-driven 110

CIO Business Intelligence

JANUARY 20, 2023

A big part of preparing data to be shared is an exercise in data normalization, says Juan Orlandini, chief architect and distinguished engineer at Insight Enterprises. Data formats and data architectures are often inconsistent, and data might even be incomplete.

Data Lake 132

Data Lake Data-driven Finance Data Architecture 132