CIO Business Intelligence

JANUARY 31, 2024

Weston uses uplift modeling, running a series of A/B tests to determine how potential customers respond to different offers, and then uses the results of those tests to build the model. The size of the data sets is limited by business concerns.

Cost-Benefit 135

Cost-Benefit Modeling Testing IoT 135

Sisense

AUGUST 28, 2020

Uncomfortable truth incoming: Most people in your organization don’t think about the quality of their data from intake to production of insights. However, as a data team member, you know how important data integrity (and a whole host of other aspects of data management) is. Data integrity: A process and a state.

Data Integration 101

Data Integration Testing Data Quality Data-driven 101

AWS Big Data

JUNE 12, 2024

One Data Platform The ODP architecture is based on the AWS Well Architected Framework Analytics Lens and follows the pattern of having raw, standardized, conformed, and enriched layers as described in Modern data architecture. See the following admin user code: admin_secret_kms_key_options = KmsKeyOptions(.

Data Architecture 115

Data Architecture Cost-Benefit Data-driven Experimentation 115

AWS Big Data

AUGUST 1, 2024

Success criteria alignment by all stakeholders (producers, consumers, operators, auditors) is key for successful transition to a new Amazon Redshift modern data architecture. The success criteria are the key performance indicators (KPIs) for each component of the data workflow.

Data Warehouse 114

Data Warehouse KPI Optimization Cost-Benefit 114

Cloudera

OCTOBER 19, 2023

While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.

Data-driven 76

Data-driven Data Architecture Predictive Modeling Digital Transformation 76

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).

Data Lake 115

Data Lake Data Warehouse Data-driven B2B 115

Cloudera

AUGUST 11, 2022

But information broadly, and the management of data specifically, is still “the” critical factor for situational awareness, streamlined operations, and a host of other use cases across today’s tech-driven battlefields. . With over 400 connectors and processors , UDD enables a broad range of data distribution capabilities. .

Predictive Analytics 94

Predictive Analytics Data-driven Data Processing Data Architecture 94

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 121

Data Lake Metadata Snapshot Recreation/Entertainment 121

AWS Big Data

DECEMBER 19, 2024

HEMA has a bespoke enterprise architecture, built around the concept of services. Each service is hosted in a dedicated AWS account and is built and maintained by a product owner and a development team, as illustrated in the following figure. Amazon DataZone is the central piece in this architecture.

Data Governance 52

Data Governance Publishing Data-driven Metadata 52

CIO Business Intelligence

MARCH 19, 2025

Integrating ESG into data decision-making CDOs should embed sustainability into data architecture, ensuring that systems are designed to optimize energy efficiency, minimize unnecessary data replication and promote ethical data use.

IT 59

IT Data Governance Data-driven Metrics 59

AWS Big Data

OCTOBER 18, 2023

Choose Test connection to verify that AWS SCT can connect to your source Azure Synapse project. Choose Test connection to verify that AWS SCT can connect to your target Redshift workgroup. When the test is successful, choose OK. Select Redshift data agent , then choose OK. to indicate local host. Choose Test Task.

Analytics 110

Analytics Data Warehouse Dashboards Testing 110

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

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 131

IT Consulting Modeling Enterprise 131

AWS Big Data

MAY 30, 2024

Overall, the current architecture didn’t support workload prioritization, therefore a physical model of resources was reserved for this reason. The system had an integration with legacy backend services that were all hosted on premises. Solution overview Amazon Redshift is an industry-leading cloud data warehouse.

Data Warehouse 114

Data Warehouse Data Lake Cost-Benefit Structured Data 114

IBM Big Data Hub

DECEMBER 4, 2023

Assemble a cross-collaborative implementation team with well-defined roles and identify major stakeholders to consult and test the system as the project moves forward. During configuration, an organization constructs its data architecture and defines user roles. Security: Ensure all sensitive data is stored appropriately.

Testing 71

Testing Consulting Digital Transformation Cost-Benefit 71

AWS Big Data

JULY 16, 2024

Historic data analysis – Data stored in Amazon S3 can be queried to satisfy one-time audit or analysis tasks. Eventually, this data could be used to train ML models to support better anomaly detection. Zurich has done testing with Amazon SageMaker and has plans to add this capability in the near future.

Insurance 129

Insurance Management Cost-Benefit Optimization 129

Cloudera

SEPTEMBER 7, 2023

Introduce advanced AI training and programs, including hands-on projects that simulate real-world financial scenarios, or mentorship programs hosted by AI experts. Prepare for higher AI demands, assessing the state of the institution’s infrastructure capacity while taking Into account future data processing needs.

Insurance 83

Insurance Risk Data-driven Finance 83

BizAcuity

MAY 24, 2022

IaaS provides a platform for compute, data storage and networking capabilities. IaaS is mainly used for developing softwares (testing and development, batch processing), hosting web applications and data analysis. To try and test the platforms in accordance with data strategy and governance.

Data-driven 52

Data-driven Cost-Benefit Digital Transformation Strategy 52

erwin

SEPTEMBER 16, 2024

The gold standard in data modeling solutions for more than 30 years continues to evolve with its latest release, highlighted by: PostgreSQL 16.x Migration and modernization : It enables seamless transitions between legacy systems and modern platforms, ensuring your data architecture evolves without disruption.

Modeling 52

Modeling Visualization Data Governance Data Architecture 52

FineReport

MARCH 31, 2024

Through meticulous testing and research, we’ve curated a list of the ten best BI tools, ensuring accessibility and efficacy for businesses of all sizes. The selection of the best BI tools stands as a critical step in leveraging data effectively, driving success, and maintaining competitive advantage in modern markets.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

CIO Business Intelligence

AUGUST 7, 2024

But Barnett, who started work on a strategy in 2023, wanted to continue using Baptist Memorial’s on-premise data center for financial, security, and continuity reasons, so he and his team explored options that allowed for keeping that data center as part of the mix.

IT 119

IT Insurance Cost-Benefit Testing 119

Jet Global

MAY 1, 2023

Data Environment First off, the solutions you consider should be compatible with your current data architecture. We have outlined the requirements that most providers ask for: Data Sources Strategic Objective Use native connectivity optimized for the data source. Do what you expect your customers to do.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

AWS Big Data

FEBRUARY 28, 2025

In modern data architectures, the need to manage and query vast datasets efficiently, consistently, and accurately is paramount. For organizations that deal with big data processing, managing metadata becomes a critical concern. Note that this implementation hasnt been tested with other EMR on EKS Spark job submission types.

Metadata 71

Metadata Data Lake Data Processing Data Architecture 71

AWS Big Data

MAY 9, 2025

Permissions from Prerequisites for managing Amazon Redshift namespaces in the AWS Glue Data Catalog granted to the Lake Formation administrator role on both accounts. An S3 bucket in the producer account to host the sample Iceberg table data. Test this solution in your accounts and share feedback in the comments section.

Data Lake 62

Data Lake Data Warehouse Marketing Management 62