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 119

Cost-Benefit Modeling Testing IoT 119

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 88

Data Lake Data Warehouse Data-driven B2B 88

AWS Big Data

NOVEMBER 9, 2023

A modern data platform entails maintaining data across multiple layers, targeting diverse platform capabilities like high performance, ease of development, cost-effectiveness, and DataOps features such as CI/CD, lineage, and unit testing. It’s raw, unprocessed data straight from the source. usr/local/airflow/.local/bin/dbt

Data Warehouse 104

Data Warehouse Testing Data Quality Reporting 104

IBM Big Data Hub

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. Diagnostic analytics: Diagnostic analytics helps pinpoint the reason an event occurred.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

FineReport

MARCH 31, 2024

In 2024, business intelligence (BI) software has undergone significant advancements, revolutionizing data management and decision-making processes. 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.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

erwin

JANUARY 9, 2020

Deploying higher quality data sources with the appropriate structural veracity: Automate and enforce data model design tasks to ensure data integrity. From regulatory compliance and business intelligence to target marketing, data modeling maintains an automated connection back to the source.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

CIO Business Intelligence

MARCH 24, 2023

A framework for managing data 10 master data management certifications that will pay off Big Data, Data and Information Security, Data Integration, Data Management, Data Mining, Data Science, IT Governance, IT Governance Frameworks, Master Data Management

Data Governance 142

Data Governance Management Metadata Data Quality 142

BI-Survey

AUGUST 21, 2020

Advanced analytics and new ways of working with data also create new requirements that surpass the traditional concepts. Many companies are therefore forced to put these concepts to the test. But what are the right measures to make the data warehouse and BI fit for the future? What role do technology and IT infrastructure play?

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

BI-Survey

JANUARY 15, 2023

Data architecture is a topic that is as relevant today as ever. It is widely regarded as a matter for data engineers, not business domain experts. Statements from countless interviews with our customers reveal that the data warehouse is seen as a “black box” by many and understood by few business users.

Data Warehouse 52

Data Warehouse IT Data Architecture Measurement 52

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.

Data Lake 102

Data Lake Metadata Snapshot Recreation/Entertainment 102

AWS Big Data

SEPTEMBER 7, 2023

Amazon QuickSight enables organizations to build visualizations, perform case-by-case analysis, and quickly get business insights from their data anytime, on any device. You can use other business intelligence (BI) tools that integrate with Athena to build dashboards and share or publish them to provide timely insights.

Metadata 99

Metadata Dashboards Metrics Visualization 99

CIO Business Intelligence

AUGUST 9, 2022

But data engineers also need soft skills to communicate data trends to others in the organization and to help the business make use of the data it collects. Data engineers and data scientists often work closely together but serve very different functions.

Analytics 123

Analytics Data Science Statistics Unstructured Data 123

CIO Business Intelligence

MARCH 9, 2022

When looking to move large portions of their application portfolios to a cloud-first model, organizations should ensure their developers embrace well-defined, cloud-native principles, says Brian Campbell, principal at Deloitte, including the use of APIs, microservices, and a modern data architecture.

Strategy 144

Strategy Consulting Risk Testing 144

AWS Big Data

SEPTEMBER 21, 2023

Integrating Satori with Amazon Redshift accelerates organizations’ ability to make use of their data to generate business value. This faster time-to-value is achieved by enabling companies to manage data access more efficiently and effectively. Then complete the following steps to connect to Amazon Redshift: Log in to Satori.

Data Warehouse 84

Data Warehouse Interactive Data Architecture Data Lake 84

AWS Big Data

NOVEMBER 13, 2023

Gameskraft used Amazon Redshift workload management (WLM) to manage priorities within workloads, with higher priority being assigned to the extract, transform, and load (ETL) queue that runs critical jobs for data producers. Key considerations Gameskraft embraces a modern data architecture, with the data lake residing in Amazon S3.

Data Warehouse 90

Data Warehouse Data Lake Analytics Data Science 90

CIO Business Intelligence

JUNE 9, 2023

It’s a time-tested truth: Getting a head start improves outcomes. By identifying and measuring the key performance indicators that matter most, you can make informed decisions about your data management investments and gain a head-start competitive advantage in today’s data-driven world.

Strategy 109

Strategy Management Key Performance Indicator ROI 109

CIO Business Intelligence

JULY 6, 2022

Notably, Fujitsu’s PRIMEFLEX is an integrated system that includes pre-configured, pre-tested hybrid cloud-enabled systems – including those for VMware technologies – and all of the services needed to offer a fast path for the development of hybrid data architectures.

Digital Transformation 76

Digital Transformation Manufacturing Data Architecture Consulting 76

CIO Business Intelligence

JUNE 20, 2022

On the latter, there’s a commitment to give patients access to their latest health information through the app by November and more detailed historical information, such as blood test results, immunisations, and diagnosis, a month later. The strategy also introduced so-called trusted research environments (TRE).

Data Strategy 92

Data Strategy Strategy Digital Transformation Data Architecture 92

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. When the test is successful, choose OK. Choose Test connection.

Analytics 95

Analytics Data Warehouse Testing Dashboards 95

CIO Business Intelligence

FEBRUARY 20, 2023

The certification emphasizes testing, governance, and integration with external systems within an organization’s infrastructure. Candidates must then successfully pass the Salesforce B2B Solution Architect exam, which tests their ability to architect and drive multicloud B2B solutions that deliver business value for the customer.

Consulting 61

Consulting B2B Cost-Benefit Sales 61

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 100

Data Warehouse Data Lake Analytics Machine Learning 100

Jet Global

JULY 28, 2023

Companies traditionally build their own analytics solutions when they: Have significant IT resources to build, test, correct, and maintain an analytics platform. Make sure your data environment is good-to-go. Meaning, the solutions you think about should mesh with your current data architecture.

Analytics 52

Analytics Software Business Intelligence Reporting 52

AWS Big Data

APRIL 5, 2023

The company decided to use AWS to unify its business intelligence (BI) and reporting strategy for both internal organization-wide use cases and in-product embedded analytics targeted at its customers. In addition, Showpad can deprecate custom reporting, infrastructure, and multiple tools with the new data architecture and QuickSight.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

CIO Business Intelligence

FEBRUARY 21, 2023

Partnering with our distributors during the design phase we quickly incorporated VOC [voice of the customer] into our design and it allowed us to adjust the solution during build/test phases to quickly change on the fly and ultimately deploy much sooner.

Digital Transformation 145

Digital Transformation Marketing Technology Software 145

CIO Business Intelligence

SEPTEMBER 21, 2023

To make all this possible, the data had to be collected, processed, and fed into the systems that needed it in a reliable, efficient, scalable, and secure way. Data warehouses then evolved into data lakes, and then data fabrics and other enterprise-wide data architectures.

Enterprise 128

Enterprise Consulting Modeling Cost-Benefit 128

CIO Business Intelligence

APRIL 25, 2022

Because NPD is a data company and Person oversees data architecture, “I own the factory,” he says. “So It was really important that the engineers drive a lot of the problem solving around business opportunities to take that translator step out, as well as do a lot more of the testing.”

IT 112

IT Insurance Cost-Benefit Reporting 112

CIO Business Intelligence

SEPTEMBER 20, 2023

We internally analyzed the improvements we had to provide and, together with the CIOs in all the countries where Mapfre operates, we defined a very solid strategy that aligns with the business objectives, and we’re implementing that now. So in the data part, we’ve grown with technologies that weren’t convergent.

Modeling 93

Modeling Insurance IT Cost-Benefit 93

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale. This post is not intended to provide detailed technical guidance (e.g.

Data Lake 113

Data Lake Metadata Optimization Statistics 113

CIO Business Intelligence

NOVEMBER 25, 2022

Now Agusti, who began her Carhartt tenure as a senior programmer analyst, is charged with leading the company’s transformation into its next phase, one that is accelerating daily with the barrage of complex technologies changing the global supply chain and business practices, Agusti says. We’re still in that journey.”

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

Cloudera

JUNE 30, 2022

Companies, on the other hand, have continued to demand highly scalable and flexible analytic engines and services on the data lake, without vendor lock-in. Organizations want modern data architectures that evolve at the speed of their business and we are happy to support them with the first open data lakehouse. .

Data Lake 84

Data Lake Data Architecture Metadata Data Warehouse 84

Alation

APRIL 14, 2022

A useful feature for exposing patterns in the data. Supports the ability to interact with the actual data and perform analysis on it. Automatic sampling to test transformation. Similar to a data warehouse schema, this prep tool automates the development of the recipe to match. Visual Profiling. Scheduling.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

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. You’d design, build, test, and iterate until the software behaved as expected,” he says. “If Prior to gen AI, software was deterministic, he says.

IT 115

IT Consulting Modeling Enterprise 115

CIO Business Intelligence

MAY 12, 2022

You need to be able to give the CEO, the president, or the business the real-time information to make business decisions for the company. So, real-time data has become air. What role does Apache Pulsar play in Verizon’s data architecture? We’re using a lot in the consumer side of the business.

Testing 93

Testing Data Lake Advertising Marketing 93

IBM Big Data Hub

JANUARY 18, 2023

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. This adds an additional ETL step, making the data even more stale.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

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

JUNE 23, 2023

Improving Experience at Hard Rock Stadium Few environments need to scale unstructured data securely and on-demand like live sporting events. Dell ECS and Dell PowerScale are designed and tested to meet these types of on-demand challenges.

Unstructured Data 87

Unstructured Data Cost-Benefit Data-driven Data Architecture 87

CIO Business Intelligence

NOVEMBER 14, 2022

Being locked into a data architecture that can’t evolve isn’t acceptable.” Aurora built a cloud testing environment on AWS to better understand the safety of its technology by seeing how it would react to scenarios too dangerous or rare to simulate in the real world.

Analytics 98

Analytics Machine Learning Testing Data Strategy 98